From cda64e8946a6178bc8d18b3aaa225c500ce4b99f Mon Sep 17 00:00:00 2001 From: Peng Lu Date: Fri, 31 Mar 2023 14:17:32 +0800 Subject: [PATCH] [Refactor] Add metafile (#2135) --- .../rtmpose/ap10k/rtmpose_ap10k.yml | 18 ++ .../animalpose/hrnet_animalpose.yml | 34 +++ .../animalpose/resnet_animalpose.yml | 51 ++++ .../ap10k/cspnext_udp_ap10k.yml | 19 ++ .../topdown_heatmap/ap10k/hrnet_ap10k.yml | 34 +++ .../topdown_heatmap/ap10k/resnet_ap10k.yml | 15 +- .../topdown_heatmap/locust/resnet_locust.yml | 45 ++++ .../topdown_heatmap/zebra/resnet_zebra.yml | 45 ++++ .../body_2d_keypoint/cid/coco/hrnet_coco.yml | 41 ++++ .../body_2d_keypoint/dekr/coco/hrnet_coco.yml | 41 ++++ .../dekr/crowdpose/hrnet_crowdpose.yml | 37 +++ .../coco/resnet_debias_coco.yml | 25 ++ .../coco/resnet_dsnt_coco.yml | 25 ++ .../coco/resnet_ipr_coco.yml | 25 ++ .../rtmpose/coco/rtmpose_coco.yml | 170 +++++++++++++ .../rtmpose/crowdpose/rtmpose_crowdpose.yml | 19 ++ .../rtmpose/mpii/rtmpose_mpii.yml | 15 ++ .../simcc/coco/mobilenetv2_coco.yml | 6 - .../simcc/coco/resnet_coco.yml | 2 +- .../simcc/coco/vipnas_coco.yml | 6 - .../topdown_heatmap/aic/hrnet_aic.yml | 18 ++ .../topdown_heatmap/aic/resnet_aic.yml | 19 ++ .../topdown_heatmap/coco/alexnet_coco.yml | 19 ++ .../topdown_heatmap/coco/cpm_coco.yml | 40 +++ .../topdown_heatmap/coco/cspnext_udp_coco.md | 4 +- .../topdown_heatmap/coco/cspnext_udp_coco.yml | 139 +++++++++++ .../topdown_heatmap/coco/hourglass_coco.yml | 2 +- .../topdown_heatmap/coco/hrformer_coco.yml | 72 ++++++ .../coco/hrnet_augmentation_coco.yml | 56 +++++ .../topdown_heatmap/coco/hrnet_coco.yml | 54 +++- .../topdown_heatmap/coco/hrnet_dark_coco.yml | 73 ++++++ .../topdown_heatmap/coco/hrnet_udp_coco.yml | 90 +++++++ .../topdown_heatmap/coco/litehrnet_coco.yml | 2 +- .../topdown_heatmap/coco/mobilenetv2_coco.yml | 35 +++ .../topdown_heatmap/coco/mspn_coco.yml | 2 +- .../topdown_heatmap/coco/pvt_coco.yml | 35 +++ .../topdown_heatmap/coco/resnest_coco.yml | 131 ++++++++++ .../topdown_heatmap/coco/resnet_coco.md | 2 +- .../topdown_heatmap/coco/resnet_coco.yml | 121 +++++++++ .../topdown_heatmap/coco/resnet_dark_coco.yml | 100 ++++++++ .../topdown_heatmap/coco/resnetv1d_coco.yml | 99 ++++++++ .../topdown_heatmap/coco/resnext_coco.yml | 99 ++++++++ .../topdown_heatmap/coco/rsn_coco.yml | 72 ++++++ .../topdown_heatmap/coco/scnet_coco.yml | 66 +++++ .../topdown_heatmap/coco/seresnet_coco.yml | 98 ++++++++ .../coco/shufflenetv1_coco.yml | 35 +++ .../coco/shufflenetv2_coco.yml | 35 +++ .../topdown_heatmap/coco/swin_coco.yml | 99 ++++++++ .../topdown_heatmap/coco/vgg_coco.yml | 19 ++ .../topdown_heatmap/coco/vipnas_coco.yml | 40 +++ .../topdown_heatmap/coco/vitpose_coco.yml | 2 +- .../crowdpose/cspnext_udp_crowdpose.yml | 20 ++ .../crowdpose/hrnet_crowdpose.yml | 19 ++ .../crowdpose/resnet_crowdpose.yml | 71 ++++++ .../topdown_heatmap/jhmdb/cpm_jhmdb.yml | 116 +++++++++ .../topdown_heatmap/jhmdb/resnet_jhmdb.yml | 231 ++++++++++++++++++ .../topdown_heatmap/mpii/cpm_mpii.yml | 15 ++ .../topdown_heatmap/mpii/cspnext_udp_mpii.yml | 16 ++ .../topdown_heatmap/mpii/hourglass_mpii.yml | 28 +++ .../topdown_heatmap/mpii/hrnet_dark_mpii.yml | 29 +++ .../topdown_heatmap/mpii/hrnet_mpii.yml | 28 +++ .../topdown_heatmap/mpii/litehrnet_mpii.yml | 28 +++ .../topdown_heatmap/mpii/mobilenetv2_mpii.yml | 16 ++ .../topdown_heatmap/mpii/resnet_mpii.yml | 42 ++++ .../topdown_heatmap/mpii/resnetv1d_mpii.yml | 42 ++++ .../topdown_heatmap/mpii/resnext_mpii.yml | 16 ++ .../topdown_heatmap/mpii/scnet_mpii.yml | 29 +++ .../topdown_heatmap/mpii/seresnet_mpii.yml | 42 ++++ .../mpii/shufflenetv1_mpii.yml | 16 ++ .../mpii/shufflenetv2_mpii.yml | 16 ++ .../posetrack18/hrnet_posetrack18.yml | 154 ++++++++++++ .../posetrack18/resnet_posetrack18.yml | 22 ++ .../coco/mobilenetv2_rle_coco.yml | 20 ++ .../topdown_regression/coco/resnet_coco.yml | 57 +++++ .../coco/resnet_rle_coco.yml | 90 +++++++ .../topdown_regression/mpii/resnet_mpii.yml | 42 ++++ .../mpii/resnet_rle_mpii.yml | 17 ++ .../rtmpose_coco_wholebody_face.yml | 14 ++ .../rtmpose/wflw/rtmpose_wflw.yml | 14 ++ .../topdown_heatmap/300w/hrnetv2_300w.yml | 23 ++ .../topdown_heatmap/aflw/hrnetv2_aflw.yml | 15 ++ .../aflw/hrnetv2_dark_aflw.yml | 16 ++ .../hourglass_coco_wholebody_face.yml | 14 ++ .../hrnetv2_coco_wholebody_face.yml | 14 ++ .../hrnetv2_dark_coco_wholebody_face.yml | 15 ++ .../mobilenetv2_coco_wholebody_face.yml | 15 ++ .../resnet_coco_wholebody_face.yml | 15 ++ .../scnet_coco_wholebody_face.yml | 15 ++ .../topdown_heatmap/cofw/hrnetv2_cofw.yml | 14 ++ .../wflw/hrnetv2_awing_wflw.yml | 21 ++ .../wflw/hrnetv2_dark_wflw.yml | 21 ++ .../topdown_heatmap/wflw/hrnetv2_wflw.yml | 6 - .../rtmpose_coco_wholebody_hand.yml | 16 ++ .../hourglass_coco_wholebody_hand.yml | 16 ++ .../hrnetv2_coco_wholebody_hand.yml | 16 ++ .../hrnetv2_dark_coco_wholebody_hand.yml | 17 ++ .../litehrnet_coco_wholebody_hand.yml | 16 ++ .../mobilenetv2_coco_wholebody_hand.yml | 17 ++ .../resnet_coco_wholebody_hand.yml | 17 ++ .../scnet_coco_wholebody_hand.yml | 16 ++ .../freihand2d/resnet_freihand2d.yml | 17 ++ .../onehand10k/hrnetv2_dark_onehand10k.yml | 17 ++ .../onehand10k/hrnetv2_onehand10k.yml | 16 ++ .../onehand10k/hrnetv2_udp_onehand10k.yml | 17 ++ .../onehand10k/mobilenetv2_onehand10k.yml | 17 ++ .../onehand10k/resnet_onehand10k.yml | 6 - .../rhd2d/hrnetv2_dark_rhd2d.yml | 17 ++ .../topdown_heatmap/rhd2d/hrnetv2_rhd2d.yml | 16 ++ .../rhd2d/hrnetv2_udp_rhd2d.md | 2 +- .../rhd2d/hrnetv2_udp_rhd2d.yml | 17 ++ .../rhd2d/mobilenetv2_rhd2d.yml | 17 ++ .../topdown_heatmap/rhd2d/resnet_rhd2d.md | 2 +- .../topdown_heatmap/rhd2d/resnet_rhd2d.yml | 17 ++ .../onehand10k/resnet_onehand10k.yml | 17 ++ .../topdown_regression/rhd2d/resnet_rhd2d.yml | 17 ++ .../coco-wholebody/rtmpose_coco-wholebody.yml | 65 +++++ .../cspnext_udp_coco-wholebody.md | 2 +- .../cspnext_udp_coco-wholebody.yml | 24 ++ .../coco-wholebody/hrnet_coco-wholebody.yml | 86 +++++++ .../hrnet_dark_coco-wholebody.yml | 45 ++++ .../coco-wholebody/resnet_coco-wholebody.yml | 128 ++++++++++ .../coco-wholebody/vipnas_coco-wholebody.yml | 44 ++++ .../vipnas_dark_coco-wholebody.yml | 45 ++++ model-index.yml | 117 ++++++++- 124 files changed, 4653 insertions(+), 51 deletions(-) create mode 100644 configs/animal_2d_keypoint/rtmpose/ap10k/rtmpose_ap10k.yml create mode 100644 configs/animal_2d_keypoint/topdown_heatmap/animalpose/hrnet_animalpose.yml create mode 100644 configs/animal_2d_keypoint/topdown_heatmap/animalpose/resnet_animalpose.yml create mode 100644 configs/animal_2d_keypoint/topdown_heatmap/ap10k/cspnext_udp_ap10k.yml create mode 100644 configs/animal_2d_keypoint/topdown_heatmap/ap10k/hrnet_ap10k.yml create mode 100644 configs/animal_2d_keypoint/topdown_heatmap/locust/resnet_locust.yml create mode 100644 configs/animal_2d_keypoint/topdown_heatmap/zebra/resnet_zebra.yml create mode 100644 configs/body_2d_keypoint/cid/coco/hrnet_coco.yml create mode 100644 configs/body_2d_keypoint/dekr/coco/hrnet_coco.yml create mode 100644 configs/body_2d_keypoint/dekr/crowdpose/hrnet_crowdpose.yml create mode 100644 configs/body_2d_keypoint/integral_regression/coco/resnet_debias_coco.yml create mode 100644 configs/body_2d_keypoint/integral_regression/coco/resnet_dsnt_coco.yml create mode 100644 configs/body_2d_keypoint/integral_regression/coco/resnet_ipr_coco.yml create mode 100644 configs/body_2d_keypoint/rtmpose/coco/rtmpose_coco.yml create mode 100644 configs/body_2d_keypoint/rtmpose/crowdpose/rtmpose_crowdpose.yml create mode 100644 configs/body_2d_keypoint/rtmpose/mpii/rtmpose_mpii.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/aic/hrnet_aic.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/aic/resnet_aic.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/coco/alexnet_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/coco/cpm_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/coco/cspnext_udp_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/coco/hrformer_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/coco/hrnet_augmentation_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/coco/hrnet_dark_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/coco/hrnet_udp_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/coco/mobilenetv2_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/coco/pvt_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/coco/resnest_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/coco/resnet_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/coco/resnet_dark_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/coco/resnetv1d_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/coco/resnext_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/coco/rsn_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/coco/scnet_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/coco/seresnet_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/coco/shufflenetv1_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/coco/shufflenetv2_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/coco/swin_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/coco/vgg_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/coco/vipnas_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/crowdpose/cspnext_udp_crowdpose.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/crowdpose/hrnet_crowdpose.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/crowdpose/resnet_crowdpose.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/jhmdb/cpm_jhmdb.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/jhmdb/resnet_jhmdb.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/mpii/cpm_mpii.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/mpii/cspnext_udp_mpii.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/mpii/hourglass_mpii.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/mpii/hrnet_dark_mpii.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/mpii/hrnet_mpii.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/mpii/litehrnet_mpii.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/mpii/mobilenetv2_mpii.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/mpii/resnet_mpii.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/mpii/resnetv1d_mpii.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/mpii/resnext_mpii.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/mpii/scnet_mpii.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/mpii/seresnet_mpii.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/mpii/shufflenetv1_mpii.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/mpii/shufflenetv2_mpii.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/posetrack18/hrnet_posetrack18.yml create mode 100644 configs/body_2d_keypoint/topdown_heatmap/posetrack18/resnet_posetrack18.yml create mode 100644 configs/body_2d_keypoint/topdown_regression/coco/mobilenetv2_rle_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_regression/coco/resnet_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_regression/coco/resnet_rle_coco.yml create mode 100644 configs/body_2d_keypoint/topdown_regression/mpii/resnet_mpii.yml create mode 100644 configs/body_2d_keypoint/topdown_regression/mpii/resnet_rle_mpii.yml create mode 100644 configs/face_2d_keypoint/rtmpose/coco_wholebody_face/rtmpose_coco_wholebody_face.yml create mode 100644 configs/face_2d_keypoint/rtmpose/wflw/rtmpose_wflw.yml create mode 100644 configs/face_2d_keypoint/topdown_heatmap/300w/hrnetv2_300w.yml create mode 100644 configs/face_2d_keypoint/topdown_heatmap/aflw/hrnetv2_aflw.yml create mode 100644 configs/face_2d_keypoint/topdown_heatmap/aflw/hrnetv2_dark_aflw.yml create mode 100644 configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/hourglass_coco_wholebody_face.yml create mode 100644 configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/hrnetv2_coco_wholebody_face.yml create mode 100644 configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/hrnetv2_dark_coco_wholebody_face.yml create mode 100644 configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/mobilenetv2_coco_wholebody_face.yml create mode 100644 configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/resnet_coco_wholebody_face.yml create mode 100644 configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/scnet_coco_wholebody_face.yml create mode 100644 configs/face_2d_keypoint/topdown_heatmap/cofw/hrnetv2_cofw.yml create mode 100644 configs/face_2d_keypoint/topdown_heatmap/wflw/hrnetv2_awing_wflw.yml create mode 100644 configs/face_2d_keypoint/topdown_heatmap/wflw/hrnetv2_dark_wflw.yml create mode 100644 configs/hand_2d_keypoint/rtmpose/coco_wholebody_hand/rtmpose_coco_wholebody_hand.yml create mode 100644 configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/hourglass_coco_wholebody_hand.yml create mode 100644 configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/hrnetv2_coco_wholebody_hand.yml create mode 100644 configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/hrnetv2_dark_coco_wholebody_hand.yml create mode 100644 configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/litehrnet_coco_wholebody_hand.yml create mode 100644 configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/mobilenetv2_coco_wholebody_hand.yml create mode 100644 configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/resnet_coco_wholebody_hand.yml create mode 100644 configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/scnet_coco_wholebody_hand.yml create mode 100644 configs/hand_2d_keypoint/topdown_heatmap/freihand2d/resnet_freihand2d.yml create mode 100644 configs/hand_2d_keypoint/topdown_heatmap/onehand10k/hrnetv2_dark_onehand10k.yml create mode 100644 configs/hand_2d_keypoint/topdown_heatmap/onehand10k/hrnetv2_onehand10k.yml create mode 100644 configs/hand_2d_keypoint/topdown_heatmap/onehand10k/hrnetv2_udp_onehand10k.yml create mode 100644 configs/hand_2d_keypoint/topdown_heatmap/onehand10k/mobilenetv2_onehand10k.yml create mode 100644 configs/hand_2d_keypoint/topdown_heatmap/rhd2d/hrnetv2_dark_rhd2d.yml create mode 100644 configs/hand_2d_keypoint/topdown_heatmap/rhd2d/hrnetv2_rhd2d.yml create mode 100644 configs/hand_2d_keypoint/topdown_heatmap/rhd2d/hrnetv2_udp_rhd2d.yml create mode 100644 configs/hand_2d_keypoint/topdown_heatmap/rhd2d/mobilenetv2_rhd2d.yml create mode 100644 configs/hand_2d_keypoint/topdown_heatmap/rhd2d/resnet_rhd2d.yml create mode 100644 configs/hand_2d_keypoint/topdown_regression/onehand10k/resnet_onehand10k.yml create mode 100644 configs/hand_2d_keypoint/topdown_regression/rhd2d/resnet_rhd2d.yml create mode 100644 configs/wholebody_2d_keypoint/rtmpose/coco-wholebody/rtmpose_coco-wholebody.yml create mode 100644 configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/cspnext_udp_coco-wholebody.yml create mode 100644 configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/hrnet_coco-wholebody.yml create mode 100644 configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/hrnet_dark_coco-wholebody.yml create mode 100644 configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/resnet_coco-wholebody.yml create mode 100644 configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/vipnas_coco-wholebody.yml create mode 100644 configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/vipnas_dark_coco-wholebody.yml diff --git a/configs/animal_2d_keypoint/rtmpose/ap10k/rtmpose_ap10k.yml b/configs/animal_2d_keypoint/rtmpose/ap10k/rtmpose_ap10k.yml new file mode 100644 index 0000000000..2e242465aa --- /dev/null +++ b/configs/animal_2d_keypoint/rtmpose/ap10k/rtmpose_ap10k.yml @@ -0,0 +1,18 @@ +Models: +- Config: configs/animal_2d_keypoint/rtmpose/ap10k/rtmpose-m_8xb64-210e_ap10k-256x256.py + In Collection: RTMPose + Metadata: + Architecture: + - RTMPose + Training Data: AP-10K + Name: rtmpose-m_8xb64-210e_ap10k-256x256 + Results: + - Dataset: AP-10K + Metrics: + AP: 0.722 + AP@0.5: 0.939 + AP@0.75: 0.788 + AP (L): 0.728 + AP (M): 0.569 + Task: Animal 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-ap10k_pt-aic-coco_210e-256x256-7a041aa1_20230206.pth diff --git a/configs/animal_2d_keypoint/topdown_heatmap/animalpose/hrnet_animalpose.yml b/configs/animal_2d_keypoint/topdown_heatmap/animalpose/hrnet_animalpose.yml new file mode 100644 index 0000000000..caba133370 --- /dev/null +++ b/configs/animal_2d_keypoint/topdown_heatmap/animalpose/hrnet_animalpose.yml @@ -0,0 +1,34 @@ +Models: +- Config: configs/animal_2d_keypoint/topdown_heatmap/animalpose/td-hm_hrnet-w32_8xb64-210e_animalpose-256x256.py + In Collection: HRNet + Metadata: + Architecture: &id001 + - HRNet + Training Data: Animal-Pose + Name: td-hm_hrnet-w32_8xb64-210e_animalpose-256x256 + Results: + - Dataset: Animal-Pose + Metrics: + AP: 0.740 + AP@0.5: 0.959 + AP@0.75: 0.833 + AR: 0.780 + AR@0.5: 0.965 + Task: Animal 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/animal/hrnet/hrnet_w32_animalpose_256x256-1aa7f075_20210426.pth +- Config: configs/animal_2d_keypoint/topdown_heatmap/animalpose/td-hm_hrnet-w48_8xb64-210e_animalpose-256x256.py + In Collection: HRNet + Metadata: + Architecture: *id001 + Training Data: Animal-Pose + Name: td-hm_hrnet-w48_8xb64-210e_animalpose-256x256 + Results: + - Dataset: Animal-Pose + Metrics: + AP: 0.738 + AP@0.5: 0.958 + AP@0.75: 0.831 + AR: 0.778 + AR@0.5: 0.962 + Task: Animal 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/animal/hrnet/hrnet_w48_animalpose_256x256-34644726_20210426.pth diff --git a/configs/animal_2d_keypoint/topdown_heatmap/animalpose/resnet_animalpose.yml b/configs/animal_2d_keypoint/topdown_heatmap/animalpose/resnet_animalpose.yml new file mode 100644 index 0000000000..345c13c138 --- /dev/null +++ b/configs/animal_2d_keypoint/topdown_heatmap/animalpose/resnet_animalpose.yml @@ -0,0 +1,51 @@ +Models: +- Config: configs/animal_2d_keypoint/topdown_heatmap/animalpose/td-hm_res50_8xb64-210e_animalpose-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: &id001 + - SimpleBaseline2D + - ResNet + Training Data: Animal-Pose + Name: td-hm_res50_8xb64-210e_animalpose-256x256 + Results: + - Dataset: Animal-Pose + Metrics: + AP: 0.691 + AP@0.5: 0.947 + AP@0.75: 0.770 + AR: 0.736 + AR@0.5: 0.955 + Task: Animal 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/animal/resnet/res50_animalpose_256x256-e1f30bff_20210426.pth +- Config: configs/animal_2d_keypoint/topdown_heatmap/animalpose/td-hm_res101_8xb64-210e_animalpose-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: Animal-Pose + Name: td-hm_res101_8xb64-210e_animalpose-256x256 + Results: + - Dataset: Animal-Pose + Metrics: + AP: 0.696 + AP@0.5: 0.948 + AP@0.75: 0.774 + AR: 0.736 + AR@0.5: 0.951 + Task: Animal 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/animal/resnet/res101_animalpose_256x256-85563f4a_20210426.pth +- Config: configs/animal_2d_keypoint/topdown_heatmap/animalpose/td-hm_res152_8xb32-210e_animalpose-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: Animal-Pose + Name: td-hm_res152_8xb32-210e_animalpose-256x256 + Results: + - Dataset: Animal-Pose + Metrics: + AP: 0.704 + AP@0.5: 0.938 + AP@0.75: 0.786 + AR: 0.748 + AR@0.5: 0.946 + Task: Animal 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/animal/resnet/res152_animalpose_256x256-a0a7506c_20210426.pth diff --git a/configs/animal_2d_keypoint/topdown_heatmap/ap10k/cspnext_udp_ap10k.yml b/configs/animal_2d_keypoint/topdown_heatmap/ap10k/cspnext_udp_ap10k.yml new file mode 100644 index 0000000000..fed9bdf116 --- /dev/null +++ b/configs/animal_2d_keypoint/topdown_heatmap/ap10k/cspnext_udp_ap10k.yml @@ -0,0 +1,19 @@ +Models: +- Config: configs/animal_2d_keypoint/topdown_heatmap/ap10k/cspnext-m_udp_8xb64-210e_ap10k-256x256.py + In Collection: UDP + Metadata: + Architecture: &id001 + - UDP + - HRNet + Training Data: AP-10K + Name: cspnext-m_udp_8xb64-210e_ap10k-256x256 + Results: + - Dataset: AP-10K + Metrics: + AP: 0.703 + AP@0.5: 0.944 + AP@0.75: 0.776 + AP (L): 0.71 + AP (M): 0.513 + Task: Animal 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_udp-ap10k_pt-in1k_210e-256x256-1f2d947a_20230123.pth diff --git a/configs/animal_2d_keypoint/topdown_heatmap/ap10k/hrnet_ap10k.yml b/configs/animal_2d_keypoint/topdown_heatmap/ap10k/hrnet_ap10k.yml new file mode 100644 index 0000000000..38aade8349 --- /dev/null +++ b/configs/animal_2d_keypoint/topdown_heatmap/ap10k/hrnet_ap10k.yml @@ -0,0 +1,34 @@ +Models: +- Config: configs/animal_2d_keypoint/topdown_heatmap/ap10k/td-hm_hrnet-w32_8xb64-210e_ap10k-256x256.py + In Collection: HRNet + Metadata: + Architecture: &id001 + - HRNet + Training Data: AP-10K + Name: td-hm_hrnet-w32_8xb64-210e_ap10k-256x256 + Results: + - Dataset: AP-10K + Metrics: + AP: 0.722 + AP@0.5: 0.935 + AP@0.75: 0.789 + AP (L): 0.729 + AP (M): 0.557 + Task: Animal 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/animal/hrnet/hrnet_w32_ap10k_256x256-18aac840_20211029.pth +- Config: configs/animal_2d_keypoint/topdown_heatmap/ap10k/td-hm_hrnet-w48_8xb64-210e_ap10k-256x256.py + In Collection: HRNet + Metadata: + Architecture: *id001 + Training Data: AP-10K + Name: td-hm_hrnet-w48_8xb64-210e_ap10k-256x256 + Results: + - Dataset: AP-10K + Metrics: + AP: 0.728 + AP@0.5: 0.936 + AP@0.75: 0.802 + AP (L): 0.735 + AP (M): 0.577 + Task: Animal 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/animal/hrnet/hrnet_w48_ap10k_256x256-d95ab412_20211029.pth diff --git a/configs/animal_2d_keypoint/topdown_heatmap/ap10k/resnet_ap10k.yml b/configs/animal_2d_keypoint/topdown_heatmap/ap10k/resnet_ap10k.yml index a84d58ab87..e3d497df20 100644 --- a/configs/animal_2d_keypoint/topdown_heatmap/ap10k/resnet_ap10k.yml +++ b/configs/animal_2d_keypoint/topdown_heatmap/ap10k/resnet_ap10k.yml @@ -1,9 +1,3 @@ -Collections: -- Name: SimpleBaseline2D - Paper: - Title: Simple baselines for human pose estimation and tracking - URL: http://openaccess.thecvf.com/content_ECCV_2018/html/Bin_Xiao_Simple_Baselines_for_ECCV_2018_paper.html - README: https://github.com/open-mmlab/mmpose/blob/master/docs/en/papers/algorithms/simplebaseline2d.md Models: - Config: configs/animal_2d_keypoint/topdown_heatmap/ap10k/td-hm_res50_8xb64-210e_ap10k-256x256.py In Collection: SimpleBaseline2D @@ -11,6 +5,7 @@ Models: Metadata: Architecture: &id001 - SimpleBaseline2D + - ResNet Training Data: AP-10K Name: td-hm_res50_8xb64-210e_ap10k-256x256 Results: @@ -19,8 +14,8 @@ Models: AP: 0.680 AP@0.5: 0.926 AP@0.75: 0.738 - APL: 0.687 - APM: 0.552 + AP (L): 0.687 + AP (M): 0.552 Task: Animal 2D Keypoint Weights: https://download.openmmlab.com/mmpose/animal/resnet/res50_ap10k_256x256-35760eb8_20211029.pth - Config: configs/animal_2d_keypoint/topdown_heatmap/ap10k/td-hm_res101_8xb64-210e_ap10k-256x256.py @@ -35,7 +30,7 @@ Models: AP: 0.681 AP@0.5: 0.921 AP@0.75: 0.751 - APL: 0.690 - APM: 0.545 + AP (L): 0.690 + AP (M): 0.545 Task: Animal 2D Keypoint Weights: https://download.openmmlab.com/mmpose/animal/resnet/res101_ap10k_256x256-9edfafb9_20211029.pth diff --git a/configs/animal_2d_keypoint/topdown_heatmap/locust/resnet_locust.yml b/configs/animal_2d_keypoint/topdown_heatmap/locust/resnet_locust.yml new file mode 100644 index 0000000000..c7d174fafc --- /dev/null +++ b/configs/animal_2d_keypoint/topdown_heatmap/locust/resnet_locust.yml @@ -0,0 +1,45 @@ +Models: +- Config: configs/animal_2d_keypoint/topdown_heatmap/locust/td-hm_res50_8xb64-210e_locust-160x160.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: &id001 + - SimpleBaseline2D + - ResNet + Training Data: Desert Locust + Name: td-hm_res50_8xb64-210e_locust-160x160 + Results: + - Dataset: Desert Locust + Metrics: + AUC: 0.9 + EPE: 2.27 + PCK@0.2: 1 + Task: Animal 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/animal/resnet/res50_locust_160x160-9efca22b_20210407.pth +- Config: configs/animal_2d_keypoint/topdown_heatmap/locust/td-hm_res101_8xb64-210e_locust-160x160.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: Desert Locust + Name: td-hm_res101_8xb64-210e_locust-160x160 + Results: + - Dataset: Desert Locust + Metrics: + AUC: 0.907 + EPE: 2.03 + PCK@0.2: 1 + Task: Animal 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/animal/resnet/res101_locust_160x160-d77986b3_20210407.pth +- Config: configs/animal_2d_keypoint/topdown_heatmap/locust/td-hm_res152_8xb32-210e_locust-160x160.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: Desert Locust + Name: td-hm_res152_8xb32-210e_locust-160x160 + Results: + - Dataset: Desert Locust + Metrics: + AUC: 0.925 + EPE: 1.49 + PCK@0.2: 1.0 + Task: Animal 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/animal/resnet/res152_locust_160x160-4ea9b372_20210407.pth diff --git a/configs/animal_2d_keypoint/topdown_heatmap/zebra/resnet_zebra.yml b/configs/animal_2d_keypoint/topdown_heatmap/zebra/resnet_zebra.yml new file mode 100644 index 0000000000..3ecedc9700 --- /dev/null +++ b/configs/animal_2d_keypoint/topdown_heatmap/zebra/resnet_zebra.yml @@ -0,0 +1,45 @@ +Models: +- Config: configs/animal_2d_keypoint/topdown_heatmap/zebra/td-hm_res50_8xb64-210e_zebra-160x160.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: &id001 + - SimpleBaseline2D + - ResNet + Training Data: "Gr\xE9vy\u2019s Zebra" + Name: td-hm_res50_8xb64-210e_zebra-160x160 + Results: + - Dataset: "Gr\xE9vy\u2019s Zebra" + Metrics: + AUC: 0.914 + EPE: 1.87 + PCK@0.2: 1.0 + Task: Animal 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/animal/resnet/res50_zebra_160x160-5a104833_20210407.pth +- Config: configs/animal_2d_keypoint/topdown_heatmap/zebra/td-hm_res101_8xb64-210e_zebra-160x160.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: "Gr\xE9vy\u2019s Zebra" + Name: td-hm_res101_8xb64-210e_zebra-160x160 + Results: + - Dataset: "Gr\xE9vy\u2019s Zebra" + Metrics: + AUC: 0.915 + EPE: 1.83 + PCK@0.2: 1.0 + Task: Animal 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/animal/resnet/res101_zebra_160x160-e8cb2010_20210407.pth +- Config: configs/animal_2d_keypoint/topdown_heatmap/zebra/td-hm_res152_8xb32-210e_zebra-160x160.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: "Gr\xE9vy\u2019s Zebra" + Name: td-hm_res152_8xb32-210e_zebra-160x160 + Results: + - Dataset: "Gr\xE9vy\u2019s Zebra" + Metrics: + AUC: 0.921 + EPE: 1.67 + PCK@0.2: 1.0 + Task: Animal 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/animal/resnet/res152_zebra_160x160-05de71dd_20210407.pth diff --git a/configs/body_2d_keypoint/cid/coco/hrnet_coco.yml b/configs/body_2d_keypoint/cid/coco/hrnet_coco.yml new file mode 100644 index 0000000000..b230d20e24 --- /dev/null +++ b/configs/body_2d_keypoint/cid/coco/hrnet_coco.yml @@ -0,0 +1,41 @@ +Collections: +- Name: CID + Paper: + Title: Contextual Instance Decoupling for Robust Multi-Person Pose Estimation + URL: https://openaccess.thecvf.com/content/CVPR2022/html/Wang_Contextual_Instance_Decoupling_for_Robust_Multi-Person_Pose_Estimation_CVPR_2022_paper.html + README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/algorithms/cid.md +Models: +- Config: configs/body_2d_keypoint/cid/coco/cid_hrnet-w32_8xb20-140e_coco-512x512.py + In Collection: CID + Metadata: + Architecture: &id001 + - CID + - HRNet + Training Data: COCO + Name: cid_hrnet-w32_8xb20-140e_coco-512x512 + Results: + - Dataset: COCO + Metrics: + AP: 0.704 + AP@0.5: 0.894 + AP@0.75: 0.775 + AR: 0.753 + AR@0.5: 0.928 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/cid/coco/cid_hrnet-w32_8xb20-140e_coco-512x512_42b7e6e6-20230207.pth +- Config: configs/body_2d_keypoint/cid/coco/cid_hrnet-w48_8xb20-140e_coco-512x512.py + In Collection: CID + Metadata: + Architecture: *id001 + Training Data: COCO + Name: cid_hrnet-w48_8xb20-140e_coco-512x512 + Results: + - Dataset: COCO + Metrics: + AP: 0.715 + AP@0.5: 0.9 + AP@0.75: 0.782 + AR: 0.765 + AR@0.5: 0.935 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/cid/coco/cid_hrnet-w48_8xb20-140e_coco-512x512_a36c3ecf-20230207.pth diff --git a/configs/body_2d_keypoint/dekr/coco/hrnet_coco.yml b/configs/body_2d_keypoint/dekr/coco/hrnet_coco.yml new file mode 100644 index 0000000000..0246b0723b --- /dev/null +++ b/configs/body_2d_keypoint/dekr/coco/hrnet_coco.yml @@ -0,0 +1,41 @@ +Collections: +- Name: DEKR + Paper: + Title: Bottom-up human pose estimation via disentangled keypoint regression + URL: https://arxiv.org/abs/2104.02300 + README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/algorithms/dekr.md +Models: +- Config: configs/body_2d_keypoint/dekr/coco/dekr_hrnet-w32_8xb10-140e_coco-512x512.py + In Collection: DEKR + Metadata: + Architecture: &id001 + - DEKR + - HRNet + Training Data: COCO + Name: dekr_hrnet-w32_8xb10-140e_coco-512x512 + Results: + - Dataset: COCO + Metrics: + AP: 0.686 + AP@0.5: 0.868 + AP@0.75: 0.750 + AR: 0.735 + AR@0.5: 0.898 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/dekr/coco/dekr_hrnet-w32_8xb10-140e_coco-512x512_ac7c17bf-20221228.pth +- Config: configs/body_2d_keypoint/dekr/coco/dekr_hrnet-w48_8xb10-140e_coco-640x640.py + In Collection: DEKR + Metadata: + Architecture: *id001 + Training Data: COCO + Name: dekr_hrnet-w48_8xb10-140e_coco-640x640 + Results: + - Dataset: COCO + Metrics: + AP: 0.714 + AP@0.5: 0.883 + AP@0.75: 0.777 + AR: 0.762 + AR@0.5: 0.915 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/dekr/coco/dekr_hrnet-w48_8xb10-140e_coco-640x640_74796c32-20230124.pth diff --git a/configs/body_2d_keypoint/dekr/crowdpose/hrnet_crowdpose.yml b/configs/body_2d_keypoint/dekr/crowdpose/hrnet_crowdpose.yml new file mode 100644 index 0000000000..02312e8cba --- /dev/null +++ b/configs/body_2d_keypoint/dekr/crowdpose/hrnet_crowdpose.yml @@ -0,0 +1,37 @@ +Models: +- Config: configs/body_2d_keypoint/dekr/crowdpose/dekr_hrnet-w32_8xb10-300e_crowdpose-512x512.py + In Collection: DEKR + Metadata: + Architecture: &id001 + - DEKR + - HRNet + Training Data: CrowdPose + Name: dekr_hrnet-w32_8xb10-300e_crowdpose-512x512 + Results: + - Dataset: CrowdPose + Metrics: + AP: 0.663 + AP@0.5: 0.857 + AP@0.75: 0.714 + AP (E): 0.74 + AP (M): 0.671 + AP (L): 0.576 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/dekr/crowdpose/dekr_hrnet-w32_8xb10-140e_crowdpose-512x512_147bae97-20221228.pth +- Config: configs/body_2d_keypoint/dekr/crowdpose/dekr_hrnet-w48_8xb5-300e_crowdpose-640x640.py + In Collection: DEKR + Metadata: + Architecture: *id001 + Training Data: CrowdPose + Name: dekr_hrnet-w48_8xb5-300e_crowdpose-640x640 + Results: + - Dataset: CrowdPose + Metrics: + AP: 0.679 + AP@0.5: 0.869 + AP@0.75: 0.731 + AP (E): 0.753 + AP (M): 0.688 + AP (L): 0.593 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/bottom_up/dekr/hrnet_w48_crowdpose_640x640-ef6b6040_20220930.pth diff --git a/configs/body_2d_keypoint/integral_regression/coco/resnet_debias_coco.yml b/configs/body_2d_keypoint/integral_regression/coco/resnet_debias_coco.yml new file mode 100644 index 0000000000..b965238a5d --- /dev/null +++ b/configs/body_2d_keypoint/integral_regression/coco/resnet_debias_coco.yml @@ -0,0 +1,25 @@ +Collections: +- Name: DebiasIPR + Paper: + Title: Removing the Bias of Integral Pose Regression + URL: https://openaccess.thecvf.com/content/ICCV2021/papers/Gu_Removing_the_Bias_of_Integral_Pose_Regression_ICCV_2021_paper.pdf + README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/algorithms/debias_ipr.md +Models: +- Config: configs/body_2d_keypoint/integral_regression/coco/ipr_res50_debias--8xb64-210e_coco-256x256.py + In Collection: DebiasIPR + Metadata: + Architecture: &id001 + - Debias + - ResNet + Training Data: COCO + Name: ipr_res50_debias--8xb64-210e_coco-256x256 + Results: + - Dataset: COCO + Metrics: + AP: 0.675 + AP@0.5: 0.872 + AP@0.75: 0.74 + AR: 0.765 + AR@0.5: 0.928 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/integral_regression/coco/ipr_res50_debias-8xb64-210e_coco-256x256-055a7699_20220913.pth diff --git a/configs/body_2d_keypoint/integral_regression/coco/resnet_dsnt_coco.yml b/configs/body_2d_keypoint/integral_regression/coco/resnet_dsnt_coco.yml new file mode 100644 index 0000000000..f34e839c10 --- /dev/null +++ b/configs/body_2d_keypoint/integral_regression/coco/resnet_dsnt_coco.yml @@ -0,0 +1,25 @@ +Collections: +- Name: DSNT + Paper: + Title: Numerical Coordinate Regression with Convolutional Neural Networks + URL: https://arxiv.org/abs/1801.07372v2 + README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/algorithms/dsnt.md +Models: +- Config: configs/body_2d_keypoint/integral_regression/coco/ipr_res50_dsnt-8xb64-210e_coco-256x256.py + In Collection: DSNT + Metadata: + Architecture: &id001 + - DSNT + - ResNet + Training Data: COCO + Name: ipr_res50_dsnt-8xb64-210e_coco-256x256 + Results: + - Dataset: COCO + Metrics: + AP: 0.674 + AP@0.5: 0.87 + AP@0.75: 0.744 + AR: 0.764 + AR@0.5: 0.928 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/integral_regression/coco/ipr_res50_dsnt-8xb64-210e_coco-256x256-441eedc0_20220913.pth diff --git a/configs/body_2d_keypoint/integral_regression/coco/resnet_ipr_coco.yml b/configs/body_2d_keypoint/integral_regression/coco/resnet_ipr_coco.yml new file mode 100644 index 0000000000..fa22133f3e --- /dev/null +++ b/configs/body_2d_keypoint/integral_regression/coco/resnet_ipr_coco.yml @@ -0,0 +1,25 @@ +Collections: +- Name: IPR + Paper: + Title: Integral human pose regression + URL: https://arxiv.org/abs/1711.08229 + README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/algorithms/ipr.md +Models: +- Config: configs/body_2d_keypoint/integral_regression/coco/ipr_res50_8xb64-210e_coco-256x256.py + In Collection: IPR + Metadata: + Architecture: &id001 + - IPR + - ResNet + Training Data: COCO + Name: ipr_res50_8xb64-210e_coco-256x256 + Results: + - Dataset: COCO + Metrics: + AP: 0.633 + AP@0.5: 0.86 + AP@0.75: 0.703 + AR: 0.73 + AR@0.5: 0.919 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/integral_regression/coco/ipr_res50_8xb64-210e_coco-256x256-a3898a33_20220913.pth diff --git a/configs/body_2d_keypoint/rtmpose/coco/rtmpose_coco.yml b/configs/body_2d_keypoint/rtmpose/coco/rtmpose_coco.yml new file mode 100644 index 0000000000..3b12675266 --- /dev/null +++ b/configs/body_2d_keypoint/rtmpose/coco/rtmpose_coco.yml @@ -0,0 +1,170 @@ +Collections: +- Name: RTMPose + Paper: + Title: "RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose" + URL: https://arxiv.org/abs/2303.07399 + README: https://github.com/open-mmlab/mmpose/blob/main/projects/rtmpose/README.md +Models: +- Config: configs/body_2d_keypoint/rtmpose/coco/rtmpose-t_8xb256-420e_coco-256x192.py + In Collection: RTMPose + Metadata: + Architecture: &id001 + - RTMPose + Training Data: COCO + Name: rtmpose-t_8xb256-420e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.682 + AP@0.5: 0.883 + AP@0.75: 0.759 + AR: 0.736 + AR@0.5: 0.92 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-tiny_simcc-coco_pt-aic-coco_420e-256x192-e613ba3f_20230127.pth +- Config: configs/body_2d_keypoint/rtmpose/coco/rtmpose-s_8xb256-420e_coco-256x192.py + In Collection: RTMPose + Metadata: + Architecture: *id001 + Training Data: COCO + Name: rtmpose-s_8xb256-420e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.716 + AP@0.5: 0.892 + AP@0.75: 0.789 + AR: 0.768 + AR@0.5: 0.929 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-s_simcc-coco_pt-aic-coco_420e-256x192-8edcf0d7_20230127.pth +- Config: configs/body_2d_keypoint/rtmpose/coco/rtmpose-m_8xb256-420e_coco-256x192.py + In Collection: RTMPose + Metadata: + Architecture: *id001 + Training Data: COCO + Name: rtmpose-m_8xb256-420e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.746 + AP@0.5: 0.899 + AP@0.75: 0.817 + AR: 0.795 + AR@0.5: 0.935 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-coco_pt-aic-coco_420e-256x192-d8dd5ca4_20230127.pth +- Config: configs/body_2d_keypoint/rtmpose/coco/rtmpose-l_8xb256-420e_coco-256x192.py + In Collection: RTMPose + Metadata: + Architecture: *id001 + Training Data: COCO + Name: rtmpose-l_8xb256-420e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.758 + AP@0.5: 0.906 + AP@0.75: 0.826 + AR: 0.806 + AR@0.5: 0.942 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco_pt-aic-coco_420e-256x192-1352a4d2_20230127.pth +- Config: configs/body_2d_keypoint/rtmpose/coco/rtmpose-t_8xb256-420e_aic-coco-256x192.py + In Collection: RTMPose + Metadata: + Architecture: *id001 + Training Data: &id002 + - COCO + - AI Challenger + Name: rtmpose-t_8xb256-420e_aic-coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.685 + AP@0.5: 0.88 + AP@0.75: 0.761 + AR: 0.738 + AR@0.5: 0.918 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-tiny_simcc-aic-coco_pt-aic-coco_420e-256x192-cfc8f33d_20230126.pth +- Config: configs/body_2d_keypoint/rtmpose/coco/rtmpose-s_8xb256-420e_aic-coco-256x192.py + In Collection: RTMPose + Metadata: + Architecture: *id001 + Training Data: *id002 + Name: rtmpose-s_8xb256-420e_aic-coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.722 + AP@0.5: 0.892 + AP@0.75: 0.794 + AR: 0.772 + AR@0.5: 0.929 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-s_simcc-aic-coco_pt-aic-coco_420e-256x192-fcb2599b_20230126.pth +- Config: configs/body_2d_keypoint/rtmpose/coco/rtmpose-m_8xb256-420e_aic-coco-256x192.py + In Collection: RTMPose + Metadata: + Architecture: *id001 + Training Data: *id002 + Name: rtmpose-m_8xb256-420e_aic-coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.758 + AP@0.5: 0.903 + AP@0.75: 0.826 + AR: 0.806 + AR@0.5: 0.94 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-256x192-63eb25f7_20230126.pth +- Config: configs/body_2d_keypoint/rtmpose/coco/rtmpose-l_8xb256-420e_aic-coco-256x192.py + In Collection: RTMPose + Metadata: + Architecture: *id001 + Training Data: *id002 + Name: rtmpose-l_8xb256-420e_aic-coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.765 + AP@0.5: 0.906 + AP@0.75: 0.835 + AR: 0.813 + AR@0.5: 0.942 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-aic-coco_pt-aic-coco_420e-256x192-f016ffe0_20230126.pth +- Config: configs/body_2d_keypoint/rtmpose/coco/rtmpose-m_8xb256-420e_aic-coco-384x288.py + In Collection: RTMPose + Metadata: + Architecture: *id001 + Training Data: *id002 + Name: rtmpose-m_8xb256-420e_aic-coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.770 + AP@0.5: 0.908 + AP@0.75: 0.833 + AR: 0.816 + AR@0.5: 0.943 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-384x288-a62a0b32_20230228.pth +- Config: configs/body_2d_keypoint/rtmpose/coco/rtmpose-l_8xb256-420e_aic-coco-384x288.py + In Collection: RTMPose + Metadata: + Architecture: *id001 + Training Data: *id002 + Name: rtmpose-l_8xb256-420e_aic-coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.773 + AP@0.5: 0.907 + AP@0.75: 0.835 + AR: 0.819 + AR@0.5: 0.942 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-aic-coco_pt-aic-coco_420e-384x288-97d6cb0f_20230228.pth diff --git a/configs/body_2d_keypoint/rtmpose/crowdpose/rtmpose_crowdpose.yml b/configs/body_2d_keypoint/rtmpose/crowdpose/rtmpose_crowdpose.yml new file mode 100644 index 0000000000..4b61697b0b --- /dev/null +++ b/configs/body_2d_keypoint/rtmpose/crowdpose/rtmpose_crowdpose.yml @@ -0,0 +1,19 @@ +Models: +- Config: configs/body_2d_keypoint/rtmpose/crowdpose/rtmpose-m_8xb64-210e_crowdpose-256x192.py + In Collection: RTMPose + Metadata: + Architecture: + - RTMPose + Training Data: CrowdPose + Name: rtmpose-t_8xb256-420e_coco-256x192 + Results: + - Dataset: CrowdPose + Metrics: + AP: 0.706 + AP@0.5: 0.841 + AP@0.75: 0.765 + AP (E): 0.799 + AP (M): 0.719 + AP (L): 0.582 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-crowdpose_pt-aic-coco_210e-256x192-e6192cac_20230224.pth diff --git a/configs/body_2d_keypoint/rtmpose/mpii/rtmpose_mpii.yml b/configs/body_2d_keypoint/rtmpose/mpii/rtmpose_mpii.yml new file mode 100644 index 0000000000..bf07697088 --- /dev/null +++ b/configs/body_2d_keypoint/rtmpose/mpii/rtmpose_mpii.yml @@ -0,0 +1,15 @@ +Models: +- Config: configs/body_2d_keypoint/rtmpose/mpii/rtmpose-m_8xb64-210e_mpii-256x256.py + In Collection: RTMPose + Metadata: + Architecture: + - RTMPose + Training Data: MPII + Name: rtmpose-m_8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.907 + Mean@0.1: 0.348 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-mpii_pt-aic-coco_210e-256x256-ec4dbec8_20230206.pth diff --git a/configs/body_2d_keypoint/simcc/coco/mobilenetv2_coco.yml b/configs/body_2d_keypoint/simcc/coco/mobilenetv2_coco.yml index 6ee4a0fd48..00ef5aaecd 100644 --- a/configs/body_2d_keypoint/simcc/coco/mobilenetv2_coco.yml +++ b/configs/body_2d_keypoint/simcc/coco/mobilenetv2_coco.yml @@ -1,9 +1,3 @@ -Collections: -- Name: SimCC - Paper: - Title: A Simple Coordinate Classification Perspective for Human Pose Estimation - URL: https://arxiv.org/abs/2107.03332 - README: https://github.com/open-mmlab/mmpose/blob/1.x/docs/src/papers/algorithms/simcc.md Models: - Config: configs/body_2d_keypoint/simcc/coco/simcc_mobilenetv2_wo-deconv-8xb64-210e_coco-256x192.py In Collection: SimCC diff --git a/configs/body_2d_keypoint/simcc/coco/resnet_coco.yml b/configs/body_2d_keypoint/simcc/coco/resnet_coco.yml index 3ad0caddca..1e56c9e477 100644 --- a/configs/body_2d_keypoint/simcc/coco/resnet_coco.yml +++ b/configs/body_2d_keypoint/simcc/coco/resnet_coco.yml @@ -3,7 +3,7 @@ Collections: Paper: Title: A Simple Coordinate Classification Perspective for Human Pose Estimation URL: https://arxiv.org/abs/2107.03332 - README: https://github.com/open-mmlab/mmpose/blob/1.x/docs/src/papers/algorithms/simcc.md + README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/algorithms/simcc.md Models: - Config: configs/body_2d_keypoint/simcc/coco/simcc_res50_8xb64-210e_coco-256x192.py In Collection: SimCC diff --git a/configs/body_2d_keypoint/simcc/coco/vipnas_coco.yml b/configs/body_2d_keypoint/simcc/coco/vipnas_coco.yml index bc3b4a43de..95077c05c6 100644 --- a/configs/body_2d_keypoint/simcc/coco/vipnas_coco.yml +++ b/configs/body_2d_keypoint/simcc/coco/vipnas_coco.yml @@ -1,9 +1,3 @@ -Collections: -- Name: SimCC - Paper: - Title: A Simple Coordinate Classification Perspective for Human Pose Estimation - URL: https://arxiv.org/abs/2107.03332 - README: https://github.com/open-mmlab/mmpose/blob/1.x/docs/src/papers/algorithms/simcc.md Models: - Config: configs/body_2d_keypoint/simcc/coco/simcc_vipnas-mbv3_8xb64-210e_coco-256x192.py In Collection: SimCC diff --git a/configs/body_2d_keypoint/topdown_heatmap/aic/hrnet_aic.yml b/configs/body_2d_keypoint/topdown_heatmap/aic/hrnet_aic.yml new file mode 100644 index 0000000000..0bbc52ccb8 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/aic/hrnet_aic.yml @@ -0,0 +1,18 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/aic/td-hm_hrnet-w32_8xb64-210e_aic-256x192.py + In Collection: HRNet + Metadata: + Architecture: + - HRNet + Training Data: AI Challenger + Name: td-hm_hrnet-w32_8xb64-210e_aic-256x192 + Results: + - Dataset: AI Challenger + Metrics: + AP: 0.323 + AP@0.5: 0.761 + AP@0.75: 0.218 + AR: 0.366 + AR@0.5: 0.789 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w32_aic_256x192-30a4e465_20200826.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/aic/resnet_aic.yml b/configs/body_2d_keypoint/topdown_heatmap/aic/resnet_aic.yml new file mode 100644 index 0000000000..e320056858 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/aic/resnet_aic.yml @@ -0,0 +1,19 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/aic/td-hm_res101_8xb64-210e_aic-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: + - SimpleBaseline2D + - ResNet + Training Data: AI Challenger + Name: td-hm_res101_8xb64-210e_aic-256x192 + Results: + - Dataset: AI Challenger + Metrics: + AP: 0.294 + AP@0.5: 0.736 + AP@0.75: 0.172 + AR: 0.337 + AR@0.5: 0.762 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res101_aic_256x192-79b35445_20200826.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/alexnet_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/alexnet_coco.yml new file mode 100644 index 0000000000..0c851c3c79 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/alexnet_coco.yml @@ -0,0 +1,19 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_alexnet_8xb64-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: + - SimpleBaseline2D + - AlexNet + Training Data: COCO + Name: td-hm_alexnet_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.448 + AP@0.5: 0.767 + AP@0.75: 0.461 + AR: 0.521 + AR@0.5: 0.829 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/alexnet/alexnet_coco_256x192-a7b1fd15_20200727.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/cpm_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/cpm_coco.yml new file mode 100644 index 0000000000..2c1cad9713 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/cpm_coco.yml @@ -0,0 +1,40 @@ +Collections: +- Name: CPM + Paper: + Title: Convolutional pose machines + URL: http://openaccess.thecvf.com/content_cvpr_2016/html/Wei_Convolutional_Pose_Machines_CVPR_2016_paper.html + README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/backbones/cpm.md +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_cpm_8xb64-210e_coco-256x192.py + In Collection: CPM + Metadata: + Architecture: &id001 + - CPM + Training Data: COCO + Name: td-hm_cpm_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.627 + AP@0.5: 0.862 + AP@0.75: 0.709 + AR: 0.689 + AR@0.5: 0.906 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_cpm_8xb64-210e_coco-256x192-0e978875_20220920.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_cpm_8xb32-210e_coco-384x288.py + In Collection: CPM + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_cpm_8xb32-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.652 + AP@0.5: 0.865 + AP@0.75: 0.730 + AR: 0.710 + AR@0.5: 0.907 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_cpm_8xb32-210e_coco-384x288-165487b8_20221011.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/cspnext_udp_coco.md b/configs/body_2d_keypoint/topdown_heatmap/coco/cspnext_udp_coco.md index fbcdff73a8..a5798b144c 100644 --- a/configs/body_2d_keypoint/topdown_heatmap/coco/cspnext_udp_coco.md +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/cspnext_udp_coco.md @@ -57,11 +57,11 @@ Results on COCO val2017 with detector having human AP of 56.4 on COCO val2017 da | :-------------------------------------------- | :--------: | :---: | :-------------: | :-------------: | :---: | :-------------: | :-------------------------------------------: | :-------------------------------------------: | | [pose_cspnext_t_udp](/configs/body_2d_keypoint/topdown_heatmap/coco/cspnext-tiny_udp_8xb256-210e_coco-256x192.py) | 256x192 | 0.665 | 0.874 | 0.723 | 0.723 | 0.917 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-tiny_udp-coco_pt-in1k_210e-256x192-0908dd2d_20230123.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-tiny_udp-coco_pt-in1k_210e-256x192-0908dd2d_20230123.json) | | [pose_cspnext_s_udp](/configs/body_2d_keypoint/topdown_heatmap/coco/cspnext-s_udp_8xb256-210e_coco-256x192.py) | 256x192 | 0.697 | 0.886 | 0.776 | 0.753 | 0.929 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-s_udp-coco_pt-in1k_210e-256x192-92dbfc1d_20230123.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-s_udp-coco_pt-in1k_210e-256x192-92dbfc1d_20230123.json) | -| [pose_cspnext_m_udp](/configs/body_2d_keypoint/topdown_heatmap/coco/cspnext-m_udp_8xb256-210e_coco-256x192.py) | 256x192 | 0.732 | 0.896 | 0.806 | 0.785 | 0.937 | \[ckpt\]https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_udp-coco_pt-in1k_210e-256x192-95f5967e_20230123.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_udp-coco_pt-in1k_210e-256x192-95f5967e_20230123.json) | +| [pose_cspnext_m_udp](/configs/body_2d_keypoint/topdown_heatmap/coco/cspnext-m_udp_8xb256-210e_coco-256x192.py) | 256x192 | 0.732 | 0.896 | 0.806 | 0.785 | 0.937 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_udp-coco_pt-in1k_210e-256x192-95f5967e_20230123.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_udp-coco_pt-in1k_210e-256x192-95f5967e_20230123.json) | | [pose_cspnext_l_udp](/configs/body_2d_keypoint/topdown_heatmap/coco/cspnext-l_udp_8xb256-210e_coco-256x192.py) | 256x192 | 0.750 | 0.904 | 0.822 | 0.800 | 0.941 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_udp-coco_pt-in1k_210e-256x192-661cdd8c_20230123.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_udp-coco_pt-in1k_210e-256x192-661cdd8c_20230123.json) | | [pose_cspnext_t_udp_aic_coco](/configs/body_2d_keypoint/topdown_heatmap/coco/cspnext-tiny_udp_8xb256-210e_aic-coco-256x192.py) | 256x192 | 0.655 | 0.884 | 0.731 | 0.689 | 0.890 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/cspnext-tiny_udp-aic-coco_210e-256x192-cbed682d_20230130.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/cspnext-tiny_udp-aic-coco_210e-256x192-cbed682d_20230130.json) | | [pose_cspnext_s_udp_aic_coco](/configs/body_2d_keypoint/topdown_heatmap/coco/cspnext-s_udp_8xb256-210e_aic-coco-256x192.py) | 256x192 | 0.700 | 0.905 | 0.783 | 0.733 | 0.918 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/cspnext-s_udp-aic-coco_210e-256x192-92f5a029_20230130.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/cspnext-s_udp-aic-coco_210e-256x192-92f5a029_20230130.json) | -| [pose_cspnext_m_udp_aic_coco](/configs/body_2d_keypoint/topdown_heatmap/coco/cspnext-m_udp_8xb256-210e_aic-coco-256x192.py) | 256x192 | 0.748 | 0.925 | 0.818 | 0.777 | 0.933 | \[ckpt\]https://download.openmmlab.com/mmpose/v1/projects/rtmpose/cspnext-m_udp-aic-coco_210e-256x192-f2f7d6f6_20230130.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/cspnext-m_udp-aic-coco_210e-256x192-f2f7d6f6_20230130.json) | +| [pose_cspnext_m_udp_aic_coco](/configs/body_2d_keypoint/topdown_heatmap/coco/cspnext-m_udp_8xb256-210e_aic-coco-256x192.py) | 256x192 | 0.748 | 0.925 | 0.818 | 0.777 | 0.933 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/cspnext-m_udp-aic-coco_210e-256x192-f2f7d6f6_20230130.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/cspnext-m_udp-aic-coco_210e-256x192-f2f7d6f6_20230130.json) | | [pose_cspnext_l_udp_aic_coco](/configs/body_2d_keypoint/topdown_heatmap/coco/cspnext-l_udp_8xb256-210e_aic-coco-256x192.py) | 256x192 | 0.772 | 0.936 | 0.839 | 0.799 | 0.943 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/cspnext-l_udp-aic-coco_210e-256x192-273b7631_20230130.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/cspnext-l_udp-aic-coco_210e-256x192-273b7631_20230130.json) | Note that, UDP also adopts the unbiased encoding/decoding algorithm of [DARK](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/techniques.html#darkpose-cvpr-2020). diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/cspnext_udp_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/cspnext_udp_coco.yml new file mode 100644 index 0000000000..9db9a46c65 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/cspnext_udp_coco.yml @@ -0,0 +1,139 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/cspnext-tiny_udp_8xb256-210e_coco-256x192.py + In Collection: UDP + Metadata: + Architecture: &id001 + - CSPNeXt + - UDP + Training Data: COCO + Name: cspnext-tiny_udp_8xb256-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.665 + AP@0.5: 0.874 + AP@0.75: 0.723 + AR: 0.723 + AR@0.5: 0.917 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-tiny_udp-coco_pt-in1k_210e-256x192-0908dd2d_20230123.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/cspnext-s_udp_8xb256-210e_coco-256x192.py + In Collection: UDP + Metadata: + Architecture: *id001 + Training Data: COCO + Name: cspnext-s_udp_8xb256-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.697 + AP@0.5: 0.886 + AP@0.75: 0.776 + AR: 0.753 + AR@0.5: 0.929 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-s_udp-coco_pt-in1k_210e-256x192-92dbfc1d_20230123.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/cspnext-m_udp_8xb256-210e_coco-256x192.py + In Collection: UDP + Metadata: + Architecture: *id001 + Training Data: COCO + Name: cspnext-m_udp_8xb256-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.732 + AP@0.5: 0.896 + AP@0.75: 0.806 + AR: 0.785 + AR@0.5: 0.937 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_udp-coco_pt-in1k_210e-256x192-95f5967e_20230123.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/cspnext-l_udp_8xb256-210e_coco-256x192.py + In Collection: UDP + Metadata: + Architecture: *id001 + Training Data: COCO + Name: cspnext-l_udp_8xb256-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.750 + AP@0.5: 0.904 + AP@0.75: 0.822 + AR: 0.8 + AR@0.5: 0.941 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_udp-coco_pt-in1k_210e-256x192-661cdd8c_20230123.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/cspnext-tiny_udp_8xb256-210e_aic-coco-256x192.py + In Collection: UDP + Metadata: + Architecture: *id001 + Training Data: + - COCO + - AIC + Name: cspnext-tiny_udp_8xb256-210e_aic-coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.655 + AP@0.5: 0.884 + AP@0.75: 0.731 + AR: 0.689 + AR@0.5: 0.89 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/cspnext-tiny_udp-aic-coco_210e-256x192-cbed682d_20230130.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/cspnext-s_udp_8xb256-210e_aic-coco-256x192.py + In Collection: UDP + Metadata: + Architecture: *id001 + Training Data: + - COCO + - AIC + Name: cspnext-s_udp_8xb256-210e_aic-coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.7 + AP@0.5: 0.905 + AP@0.75: 0.783 + AR: 0.733 + AR@0.5: 0.918 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/cspnext-s_udp-aic-coco_210e-256x192-92f5a029_20230130.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/cspnext-m_udp_8xb256-210e_aic-coco-256x192.py + In Collection: UDP + Metadata: + Architecture: *id001 + Training Data: + - COCO + - AIC + Name: cspnext-m_udp_8xb256-210e_aic-coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.748 + AP@0.5: 0.925 + AP@0.75: 0.818 + AR: 0.777 + AR@0.5: 0.933 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/cspnext-m_udp-aic-coco_210e-256x192-f2f7d6f6_20230130.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/cspnext-l_udp_8xb256-210e_aic-coco-256x192.py + In Collection: UDP + Metadata: + Architecture: *id001 + Training Data: + - COCO + - AIC + Name: cspnext-l_udp_8xb256-210e_aic-coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.772 + AP@0.5: 0.936 + AP@0.75: 0.839 + AR: 0.799 + AR@0.5: 0.943 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/cspnext-l_udp-aic-coco_210e-256x192-273b7631_20230130.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/hourglass_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/hourglass_coco.yml index 51e7f56ac6..6d9cfd91e9 100644 --- a/configs/body_2d_keypoint/topdown_heatmap/coco/hourglass_coco.yml +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/hourglass_coco.yml @@ -3,7 +3,7 @@ Collections: Paper: Title: Stacked hourglass networks for human pose estimation URL: https://link.springer.com/chapter/10.1007/978-3-319-46484-8_29 - README: https://github.com/open-mmlab/mmpose/blob/1.x/docs/src/papers/backbones/hourglass.md + README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/backbones/hourglass.md Models: - Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hourglass52_8xb32-210e_coco-256x256.py In Collection: Hourglass diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/hrformer_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/hrformer_coco.yml new file mode 100644 index 0000000000..5ac7dc3636 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/hrformer_coco.yml @@ -0,0 +1,72 @@ +Collections: +- Name: HRFormer + Paper: + Title: 'HRFormer: High-Resolution Vision Transformer for Dense Predict' + URL: https://proceedings.neurips.cc/paper/2021/hash/3bbfdde8842a5c44a0323518eec97cbe-Abstract.html + README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/backbones/hrformer.md +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrformer-small_8xb32-210e_coco-256x192.py + In Collection: HRFormer + Metadata: + Architecture: &id001 + - HRFormer + Training Data: COCO + Name: td-hm_hrformer-small_8xb32-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.738 + AP@0.5: 0.904 + AP@0.75: 0.812 + AR: 0.793 + AR@0.5: 0.941 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hrformer/hrformer_small_coco_256x192-5310d898_20220316.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrformer-small_8xb32-210e_coco-384x288.py + In Collection: HRFormer + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_hrformer-small_8xb32-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.757 + AP@0.5: 0.905 + AP@0.75: 0.824 + AR: 0.807 + AR@0.5: 0.941 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hrformer/hrformer_small_coco_384x288-98d237ed_20220316.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrformer-base_8xb32-210e_coco-256x192.py + In Collection: HRFormer + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_hrformer-base_8xb32-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.754 + AP@0.5: 0.906 + AP@0.75: 0.827 + AR: 0.807 + AR@0.5: 0.943 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hrformer/hrformer_base_coco_256x192-6f5f1169_20220316.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrformer-base_8xb32-210e_coco-384x288.py + In Collection: HRFormer + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_hrformer-base_8xb32-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.774 + AP@0.5: 0.909 + AP@0.75: 0.842 + AR: 0.823 + AR@0.5: 0.945 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hrformer/hrformer_base_coco_384x288-ecf0758d_20220316.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/hrnet_augmentation_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/hrnet_augmentation_coco.yml new file mode 100644 index 0000000000..7a29de4f64 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/hrnet_augmentation_coco.yml @@ -0,0 +1,56 @@ +Collections: +- Name: Albumentations + Paper: + Title: 'Albumentations: fast and flexible image augmentations' + URL: https://www.mdpi.com/649002 + README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/techniques/albumentations.md +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w32_coarsedropout-8xb64-210e_coco-256x192.py + In Collection: Albumentations + Metadata: + Architecture: &id001 + - HRNet + Training Data: COCO + Name: td-hm_hrnet-w32_coarsedropout-8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.753 + AP@0.5: 0.908 + AP@0.75: 0.822 + AR: 0.805 + AR@0.5: 0.944 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/augmentation/hrnet_w32_coco_256x192_coarsedropout-0f16a0ce_20210320.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w32_gridmask-8xb64-210e_coco-256x192.py + In Collection: Albumentations + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_hrnet-w32_gridmask-8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.752 + AP@0.5: 0.906 + AP@0.75: 0.825 + AR: 0.804 + AR@0.5: 0.943 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/augmentation/hrnet_w32_coco_256x192_gridmask-868180df_20210320.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w32_photometric-8xb64-210e_coco-256x192.py + In Collection: Albumentations + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_hrnet-w32_photometric-8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.754 + AP@0.5: 0.908 + AP@0.75: 0.825 + AR: 0.805 + AR@0.5: 0.943 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/augmentation/hrnet_w32_coco_256x192_photometric-308cf591_20210320.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/hrnet_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/hrnet_coco.yml index 86a305d223..5cba975219 100644 --- a/configs/body_2d_keypoint/topdown_heatmap/coco/hrnet_coco.yml +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/hrnet_coco.yml @@ -3,7 +3,7 @@ Collections: Paper: Title: Deep high-resolution representation learning for human pose estimation URL: http://openaccess.thecvf.com/content_CVPR_2019/html/Sun_Deep_High-Resolution_Representation_Learning_for_Human_Pose_Estimation_CVPR_2019_paper.html - README: https://github.com/open-mmlab/mmpose/blob/1.x/docs/src/papers/backbones/hrnet.md + README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/backbones/hrnet.md Models: - Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w32_8xb64-210e_coco-256x192.py In Collection: HRNet @@ -71,3 +71,55 @@ Models: AR@0.5: 0.946 Task: Body 2D Keypoint Weights: https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w48_coco_384x288-314c8528_20200708.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w32_8xb64-210e_coco-aic-256x192-merge.py + In Collection: HRNet + Metadata: + Architecture: *id001 + Training Data: + - COCO + - AI Challenger + Name: td-hm_hrnet-w32_8xb64-210e_coco-aic-256x192-merge + Results: + - Dataset: COCO + Metrics: + AP: 0.757 + AP@0.5: 0.907 + AP@0.75: 0.829 + AR: 0.809 + AR@0.5: 0.944 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w32_8xb64-210e_coco-aic-256x192-merge-b05435b9_20221025.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w32_8xb64-210e_coco-aic-256x192-combine.py + In Collection: HRNet + Metadata: + Architecture: *id001 + Training Data: + - COCO + - AI Challenger + Name: td-hm_hrnet-w32_8xb64-210e_coco-aic-256x192-combine + Results: + - Dataset: COCO + Metrics: + AP: 0.756 + AP@0.5: 0.906 + AP@0.75: 0.826 + AR: 0.807 + AR@0.5: 0.943 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w32_8xb64-210e_coco-aic-256x192-combine-4ce66880_20221026.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w32_fp16-8xb64-210e_coco-256x192.py + In Collection: HRNet + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_hrnet-w32_fp16-8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.749 + AP@0.5: 0.907 + AP@0.75: 0.822 + AR: 0.802 + AR@0.5: 0.946 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w32_fp16-8xb64-210e_coco-256x192-f1e84e3b_20220914.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/hrnet_dark_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/hrnet_dark_coco.yml new file mode 100644 index 0000000000..9f14e9ffad --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/hrnet_dark_coco.yml @@ -0,0 +1,73 @@ +Collections: +- Name: DarkPose + Paper: + Title: Distribution-aware coordinate representation for human pose estimation + URL: http://openaccess.thecvf.com/content_CVPR_2020/html/Zhang_Distribution-Aware_Coordinate_Representation_for_Human_Pose_Estimation_CVPR_2020_paper.html + README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/techniques/dark.md +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w32_dark-8xb64-210e_coco-256x192.py + In Collection: DarkPose + Metadata: + Architecture: &id001 + - HRNet + - DarkPose + Training Data: COCO + Name: td-hm_hrnet-w32_dark-8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.757 + AP@0.5: 0.907 + AP@0.75: 0.825 + AR: 0.807 + AR@0.5: 0.943 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w32_dark-8xb64-210e_coco-256x192-0e00bf12_20220914.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w32_dark-8xb64-210e_coco-384x288.py + In Collection: DarkPose + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_hrnet-w32_dark-8xb64-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.766 + AP@0.5: 0.907 + AP@0.75: 0.829 + AR: 0.815 + AR@0.5: 0.942 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w32_dark-8xb64-210e_coco-384x288-9bab4c9b_20220917.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w48_dark-8xb32-210e_coco-256x192.py + In Collection: DarkPose + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_hrnet-w48_dark-8xb32-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.764 + AP@0.5: 0.907 + AP@0.75: 0.831 + AR: 0.814 + AR@0.5: 0.942 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w48_dark-8xb32-210e_coco-256x192-e1ebdd6f_20220913.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w48_dark-8xb32-210e_coco-384x288.py + In Collection: DarkPose + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_hrnet-w48_dark-8xb32-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.772 + AP@0.5: 0.911 + AP@0.75: 0.833 + AR: 0.821 + AR@0.5: 0.948 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w48_dark-8xb32-210e_coco-384x288-39c3c381_20220916.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/hrnet_udp_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/hrnet_udp_coco.yml new file mode 100644 index 0000000000..01cba761ec --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/hrnet_udp_coco.yml @@ -0,0 +1,90 @@ +Collections: +- Name: UDP + Paper: + Title: 'The Devil Is in the Details: Delving Into Unbiased Data Processing for + Human Pose Estimation' + URL: http://openaccess.thecvf.com/content_CVPR_2020/html/Huang_The_Devil_Is_in_the_Details_Delving_Into_Unbiased_Data_CVPR_2020_paper.html + README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/techniques/udp.md +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w32_udp-8xb64-210e_coco-256x192.py + In Collection: UDP + Metadata: + Architecture: &id001 + - HRNet + - UDP + Training Data: COCO + Name: td-hm_hrnet-w32_udp-8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.762 + AP@0.5: 0.907 + AP@0.75: 0.829 + AR: 0.810 + AR@0.5: 0.942 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w32_udp-8xb64-210e_coco-256x192-73ede547_20220914.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w32_udp-8xb64-210e_coco-384x288.py + In Collection: UDP + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_hrnet-w32_udp-8xb64-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.768 + AP@0.5: 0.909 + AP@0.75: 0.832 + AR: 0.815 + AR@0.5: 0.945 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w32_udp-8xb64-210e_coco-384x288-9a3f7c85_20220914.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w48_udp-8xb32-210e_coco-256x192.py + In Collection: UDP + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_hrnet-w48_udp-8xb32-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.768 + AP@0.5: 0.908 + AP@0.75: 0.833 + AR: 0.817 + AR@0.5: 0.945 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w48_udp-8xb32-210e_coco-256x192-3feaef8f_20220913.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w48_udp-8xb32-210e_coco-384x288.py + In Collection: UDP + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_hrnet-w48_udp-8xb32-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.773 + AP@0.5: 0.911 + AP@0.75: 0.836 + AR: 0.821 + AR@0.5: 0.946 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w48_udp-8xb32-210e_coco-384x288-70d7ab01_20220913.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w32_udp-regress-8xb64-210e_coco-256x192.py + In Collection: UDP + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_hrnet-w32_udp-regress-8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.759 + AP@0.5: 0.907 + AP@0.75: 0.827 + AR: 0.813 + AR@0.5: 0.943 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrnet-w32_udp-regress-8xb64-210e_coco-256x192-9c0b77b4_20220926.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/litehrnet_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/litehrnet_coco.yml index 534991fdae..f923605872 100644 --- a/configs/body_2d_keypoint/topdown_heatmap/coco/litehrnet_coco.yml +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/litehrnet_coco.yml @@ -3,7 +3,7 @@ Collections: Paper: Title: 'Lite-HRNet: A Lightweight High-Resolution Network' URL: https://arxiv.org/abs/2104.06403 - README: https://github.com/open-mmlab/mmpose/blob/1.x/docs/src/papers/backbones/litehrnet.md + README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/backbones/litehrnet.md Models: - Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_litehrnet-18_8xb64-210e_coco-256x192.py In Collection: LiteHRNet diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/mobilenetv2_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/mobilenetv2_coco.yml new file mode 100644 index 0000000000..c7993fe516 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/mobilenetv2_coco.yml @@ -0,0 +1,35 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_mobilenetv2_8xb64-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: &id001 + - SimpleBaseline2D + - MobilenetV2 + Training Data: COCO + Name: td-hm_mobilenetv2_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.648 + AP@0.5: 0.874 + AP@0.75: 0.725 + AR: 0.709 + AR@0.5: 0.918 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_mobilenetv2_8xb64-210e_coco-256x192-55a04c35_20221016.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_mobilenetv2_8xb64-210e_coco-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_mobilenetv2_8xb64-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.677 + AP@0.5: 0.882 + AP@0.75: 0.746 + AR: 0.734 + AR@0.5: 0.920 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_mobilenetv2_8xb64-210e_coco-384x288-d3ab1457_20221013.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/mspn_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/mspn_coco.yml index 06e9b32845..77eca18b6f 100644 --- a/configs/body_2d_keypoint/topdown_heatmap/coco/mspn_coco.yml +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/mspn_coco.yml @@ -3,7 +3,7 @@ Collections: Paper: Title: Rethinking on Multi-Stage Networks for Human Pose Estimation URL: https://arxiv.org/abs/1901.00148 - README: https://github.com/open-mmlab/mmpose/blob/1.x/docs/src/papers/backbones/mspn.md + README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/backbones/mspn.md Models: - Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_mspn50_8xb32-210e_coco-256x192.py In Collection: MSPN diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/pvt_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/pvt_coco.yml new file mode 100644 index 0000000000..2b4303d704 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/pvt_coco.yml @@ -0,0 +1,35 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_pvt-s_8xb64-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: &id001 + - SimpleBaseline2D + - PVT + Training Data: COCO + Name: td-hm_pvt-s_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.714 + AP@0.5: 0.896 + AP@0.75: 0.794 + AR: 0.773 + AR@0.5: 0.936 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/pvt/pvt_small_coco_256x192-4324a49d_20220501.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_pvtv2-b2_8xb64-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_pvtv2-b2_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.737 + AP@0.5: 0.905 + AP@0.75: 0.812 + AR: 0.791 + AR@0.5: 0.942 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/pvt/pvtv2_b2_coco_256x192-b4212737_20220501.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/resnest_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/resnest_coco.yml new file mode 100644 index 0000000000..082c6a0aa2 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/resnest_coco.yml @@ -0,0 +1,131 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnest50_8xb64-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: &id001 + - SimpleBaseline2D + - ResNeSt + Training Data: COCO + Name: td-hm_resnest50_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.720 + AP@0.5: 0.899 + AP@0.75: 0.8 + AR: 0.775 + AR@0.5: 0.939 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnest/resnest50_coco_256x192-6e65eece_20210320.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnest50_8xb64-210e_coco-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_resnest50_8xb64-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.737 + AP@0.5: 0.9 + AP@0.75: 0.811 + AR: 0.789 + AR@0.5: 0.937 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnest/resnest50_coco_384x288-dcd20436_20210320.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnest101_8xb64-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_resnest101_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.725 + AP@0.5: 0.9 + AP@0.75: 0.807 + AR: 0.781 + AR@0.5: 0.939 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnest/resnest101_coco_256x192-2ffcdc9d_20210320.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnest101_8xb32-210e_coco-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_resnest101_8xb32-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.745 + AP@0.5: 0.905 + AP@0.75: 0.818 + AR: 0.798 + AR@0.5: 0.942 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnest/resnest101_coco_384x288-80660658_20210320.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnest200_8xb64-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_resnest200_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.731 + AP@0.5: 0.905 + AP@0.75: 0.812 + AR: 0.787 + AR@0.5: 0.943 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnest/resnest200_coco_256x192-db007a48_20210517.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnest200_8xb16-210e_coco-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_resnest200_8xb16-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.753 + AP@0.5: 0.907 + AP@0.75: 0.827 + AR: 0.805 + AR@0.5: 0.943 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnest/resnest200_coco_384x288-b5bb76cb_20210517.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnest269_8xb32-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_resnest269_8xb32-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.737 + AP@0.5: 0.907 + AP@0.75: 0.819 + AR: 0.792 + AR@0.5: 0.943 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnest/resnest269_coco_256x192-2a7882ac_20210517.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnest269_8xb16-210e_coco-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_resnest269_8xb16-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.754 + AP@0.5: 0.908 + AP@0.75: 0.828 + AR: 0.805 + AR@0.5: 0.943 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnest/resnest269_coco_384x288-b142b9fb_20210517.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/resnet_coco.md b/configs/body_2d_keypoint/topdown_heatmap/coco/resnet_coco.md index f0f7df3497..4ce6da38c6 100644 --- a/configs/body_2d_keypoint/topdown_heatmap/coco/resnet_coco.md +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/resnet_coco.md @@ -56,7 +56,7 @@ Results on COCO val2017 with detector having human AP of 56.4 on COCO val2017 da | :-------------------------------------------- | :--------: | :---: | :-------------: | :-------------: | :---: | :-------------: | :-------------------------------------------: | :-------------------------------------------: | | [pose_resnet_50](/configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_res50_8xb64-210e_coco-256x192.py) | 256x192 | 0.718 | 0.898 | 0.796 | 0.774 | 0.934 | [ckpt](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res50_8xb64-210e_coco-256x192-04af38ce_20220923.pth) | [log](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res50_8xb64-210e_coco-256x192_20220923.log) | | [pose_resnet_50](/configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_res50_8xb64-210e_coco-384x288.py) | 384x288 | 0.731 | 0.900 | 0.799 | 0.782 | 0.937 | [ckpt](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res50_8xb64-210e_coco-384x288-7b8db90e_20220923.pth) | [log](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res50_8xb64-210e_coco-384x288_20220923.log) | -| [pose_resnet_101](/configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_res101_8xb64-210e_coco-256x192.py) | 256x192 | 0.728 | 0.904 | 0.809 | 0.783 | 0.942 | [ckpt](https://download.openmmlab.com/mmpose/top_down/resnet/res101_coco_256x192-6e6babf0_20200708.pth) | [log](https://download.openmmlab.com/mmpose/top_down/resnet/res101_coco_256x192_20200708.log.json) | +| [pose_resnet_101](/configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_res101_8xb64-210e_coco-256x192.py) | 256x192 | 0.728 | 0.904 | 0.809 | 0.783 | 0.942 | [ckpt](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res101_8xb64-210e_coco-256x192-065d3625_20220926.pth) | [log](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res101_8xb64-210e_coco-256x192_20220926.log) | | [pose_resnet_101](/configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_res101_8xb32-210e_coco-384x288.py) | 384x288 | 0.749 | 0.906 | 0.817 | 0.799 | 0.941 | [ckpt](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res101_8xb64-210e_coco-256x192-065d3625_20220926.pth) | [log](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res101_8xb64-210e_coco-256x192_20220926.log) | | [pose_resnet_152](/configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_res152_8xb32-210e_coco-256x192.py) | 256x192 | 0.736 | 0.904 | 0.818 | 0.791 | 0.942 | [ckpt](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res152_8xb32-210e_coco-256x192-0345f330_20220928.pth) | [log](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res152_8xb32-210e_coco-256x192_20220928.log) | | [pose_resnet_152](/configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_res152_8xb32-210e_coco-384x288.py) | 384x288 | 0.750 | 0.908 | 0.821 | 0.800 | 0.942 | [ckpt](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res152_8xb32-210e_coco-384x288-7fbb906f_20220927.pth) | [log](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res152_8xb32-210e_coco-384x288_20220927.log) | diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/resnet_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/resnet_coco.yml new file mode 100644 index 0000000000..296be8898b --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/resnet_coco.yml @@ -0,0 +1,121 @@ +Collections: +- Name: SimpleBaseline2D + Paper: + Title: Simple baselines for human pose estimation and tracking + URL: http://openaccess.thecvf.com/content_ECCV_2018/html/Bin_Xiao_Simple_Baselines_for_ECCV_2018_paper.html + README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/algorithms/simplebaseline2d.md +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_res50_8xb64-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: &id001 + - SimpleBaseline2D + - ResNet + Training Data: COCO + Name: td-hm_res50_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.718 + AP@0.5: 0.898 + AP@0.75: 0.796 + AR: 0.774 + AR@0.5: 0.934 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res50_8xb64-210e_coco-256x192-04af38ce_20220923.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_res50_8xb64-210e_coco-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_res50_8xb64-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.731 + AP@0.5: 0.9 + AP@0.75: 0.799 + AR: 0.782 + AR@0.5: 0.937 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res50_8xb64-210e_coco-384x288-7b8db90e_20220923.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_res101_8xb64-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_res101_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.728 + AP@0.5: 0.904 + AP@0.75: 0.809 + AR: 0.783 + AR@0.5: 0.942 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res101_8xb64-210e_coco-256x192-065d3625_20220926.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_res101_8xb32-210e_coco-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_res101_8xb32-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.749 + AP@0.5: 0.906 + AP@0.75: 0.817 + AR: 0.799 + AR@0.5: 0.941 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res101_8xb64-210e_coco-256x192-065d3625_20220926.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_res152_8xb32-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_res152_8xb32-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.736 + AP@0.5: 0.904 + AP@0.75: 0.818 + AR: 0.791 + AR@0.5: 0.942 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res152_8xb32-210e_coco-256x192-0345f330_20220928.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_res152_8xb32-210e_coco-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_res152_8xb32-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.75 + AP@0.5: 0.908 + AP@0.75: 0.821 + AR: 0.8 + AR@0.5: 0.942 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res152_8xb32-210e_coco-384x288-7fbb906f_20220927.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_res50_fp16-8xb64-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_res50_fp16-8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.716 + AP@0.5: 0.898 + AP@0.75: 0.798 + AR: 0.772 + AR@0.5: 0.937 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res50_fp16-8xb64-210e_coco-256x192-463da051_20220927.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/resnet_dark_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/resnet_dark_coco.yml new file mode 100644 index 0000000000..02e4a7f43f --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/resnet_dark_coco.yml @@ -0,0 +1,100 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_res50_dark-8xb64-210e_coco-256x192.py + In Collection: DarkPose + Metadata: + Architecture: &id001 + - SimpleBaseline2D + - ResNet + - DarkPose + Training Data: COCO + Name: td-hm_res50_dark-8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.724 + AP@0.5: 0.897 + AP@0.75: 0.797 + AR: 0.777 + AR@0.5: 0.934 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res50_dark-8xb64-210e_coco-256x192-c129dcb6_20220926.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_res50_dark-8xb64-210e_coco-384x288.py + In Collection: DarkPose + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_res50_dark-8xb64-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.735 + AP@0.5: 0.902 + AP@0.75: 0.801 + AR: 0.786 + AR@0.5: 0.938 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res50_dark-8xb64-210e_coco-384x288-8b90b538_20220926.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_res101_dark-8xb64-210e_coco-256x192.py + In Collection: DarkPose + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_res101_dark-8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.733 + AP@0.5: 0.9 + AP@0.75: 0.81 + AR: 0.786 + AR@0.5: 0.938 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res101_dark-8xb64-210e_coco-256x192-528ec248_20220926.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_res101_dark-8xb64-210e_coco-384x288.py + In Collection: DarkPose + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_res101_dark-8xb64-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.749 + AP@0.5: 0.905 + AP@0.75: 0.818 + AR: 0.799 + AR@0.5: 0.94 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res101_dark-8xb64-210e_coco-384x288-487d40a4_20220926.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_res152_dark-8xb32-210e_coco-256x192.py + In Collection: DarkPose + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_res152_dark-8xb32-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.743 + AP@0.5: 0.906 + AP@0.75: 0.819 + AR: 0.796 + AR@0.5: 0.943 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res152_dark-8xb32-210e_coco-256x192-f754df5f_20221031.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_res152_dark-8xb32-210e_coco-384x288.py + In Collection: DarkPose + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_res152_dark-8xb32-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.757 + AP@0.5: 0.907 + AP@0.75: 0.825 + AR: 0.805 + AR@0.5: 0.943 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_res152_dark-8xb32-210e_coco-384x288-329f8454_20221031.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/resnetv1d_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/resnetv1d_coco.yml new file mode 100644 index 0000000000..765c8aaabc --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/resnetv1d_coco.yml @@ -0,0 +1,99 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnetv1d50_8xb64-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: &id001 + - SimpleBaseline2D + - ResNetV1D + Training Data: COCO + Name: td-hm_resnetv1d50_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.722 + AP@0.5: 0.897 + AP@0.75: 0.796 + AR: 0.777 + AR@0.5: 0.936 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnetv1d50_8xb64-210e_coco-256x192-27545d63_20221020.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnetv1d50_8xb64-210e_coco-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_resnetv1d50_8xb64-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.73 + AP@0.5: 0.899 + AP@0.75: 0.8 + AR: 0.782 + AR@0.5: 0.935 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnetv1d50_8xb64-210e_coco-384x288-0646b46e_20221020.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnetv1d101_8xb64-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_resnetv1d101_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.732 + AP@0.5: 0.901 + AP@0.75: 0.808 + AR: 0.785 + AR@0.5: 0.940 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnetv1d101_8xb64-210e_coco-256x192-ee9e7212_20221021.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnetv1d101_8xb32-210e_coco-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_resnetv1d101_8xb32-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.748 + AP@0.5: 0.906 + AP@0.75: 0.817 + AR: 0.798 + AR@0.5: 0.941 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnetv1d101_8xb32-210e_coco-384x288-d0b5875f_20221028.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnetv1d152_8xb32-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_resnetv1d152_8xb32-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.737 + AP@0.5: 0.904 + AP@0.75: 0.814 + AR: 0.790 + AR@0.5: 0.94 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnetv1d152_8xb32-210e_coco-256x192-fd49f947_20221021.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnetv1d152_8xb48-210e_coco-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_resnetv1d152_8xb48-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.751 + AP@0.5: 0.907 + AP@0.75: 0.821 + AR: 0.801 + AR@0.5: 0.942 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnetv1d152_8xb48-210e_coco-384x288-b9a99602_20221022.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/resnext_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/resnext_coco.yml new file mode 100644 index 0000000000..1ebb616ecd --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/resnext_coco.yml @@ -0,0 +1,99 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnext50_8xb64-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: &id001 + - SimpleBaseline2D + - ResNext + Training Data: COCO + Name: td-hm_resnext50_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.715 + AP@0.5: 0.897 + AP@0.75: 0.791 + AR: 0.771 + AR@0.5: 0.935 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnext/resnext50_coco_256x192-dcff15f6_20200727.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnext50_8xb64-210e_coco-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_resnext50_8xb64-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.724 + AP@0.5: 0.899 + AP@0.75: 0.794 + AR: 0.777 + AR@0.5: 0.936 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnext/resnext50_coco_384x288-412c848f_20200727.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnext101_8xb64-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_resnext101_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.726 + AP@0.5: 0.9 + AP@0.75: 0.801 + AR: 0.781 + AR@0.5: 0.939 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnext/resnext101_coco_256x192-c7eba365_20200727.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnext101_8xb32-210e_coco-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_resnext101_8xb32-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.744 + AP@0.5: 0.903 + AP@0.75: 0.815 + AR: 0.794 + AR@0.5: 0.939 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnext/resnext101_coco_384x288-f5eabcd6_20200727.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnext152_8xb32-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_resnext152_8xb32-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.73 + AP@0.5: 0.903 + AP@0.75: 0.808 + AR: 0.785 + AR@0.5: 0.94 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnext/resnext152_coco_256x192-102449aa_20200727.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_resnext152_8xb48-210e_coco-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_resnext152_8xb48-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.742 + AP@0.5: 0.904 + AP@0.75: 0.81 + AR: 0.794 + AR@0.5: 0.94 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnext/resnext152_coco_384x288-806176df_20200727.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/rsn_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/rsn_coco.yml new file mode 100644 index 0000000000..2974aaf2c0 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/rsn_coco.yml @@ -0,0 +1,72 @@ +Collections: +- Name: RSN + Paper: + Title: Learning Delicate Local Representations for Multi-Person Pose Estimation + URL: https://link.springer.com/chapter/10.1007/978-3-030-58580-8_27 + README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/backbones/rsn.md +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_rsn18_8xb32-210e_coco-256x192.py + In Collection: RSN + Metadata: + Architecture: &id001 + - RSN + Training Data: COCO + Name: td-hm_rsn18_8xb32-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.704 + AP@0.5: 0.887 + AP@0.75: 0.781 + AR: 0.773 + AR@0.5: 0.927 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_rsn18_8xb32-210e_coco-256x192-9049ed09_20221013.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_rsn50_8xb32-210e_coco-256x192.py + In Collection: RSN + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_rsn50_8xb32-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.724 + AP@0.5: 0.894 + AP@0.75: 0.799 + AR: 0.79 + AR@0.5: 0.935 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_rsn50_8xb32-210e_coco-256x192-c35901d5_20221013.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_2xrsn50_8xb32-210e_coco-256x192.py + In Collection: RSN + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_2xrsn50_8xb32-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.748 + AP@0.5: 0.9 + AP@0.75: 0.821 + AR: 0.81 + AR@0.5: 0.939 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_2xrsn50_8xb32-210e_coco-256x192-9ede341e_20221013.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_3xrsn50_8xb32-210e_coco-256x192.py + In Collection: RSN + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_3xrsn50_8xb32-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.75 + AP@0.5: 0.9 + AP@0.75: 0.824 + AR: 0.814 + AR@0.5: 0.941 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_3xrsn50_8xb32-210e_coco-256x192-c3e3c4fe_20221013.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/scnet_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/scnet_coco.yml new file mode 100644 index 0000000000..cf68c67f90 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/scnet_coco.yml @@ -0,0 +1,66 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_scnet50_8xb64-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: &id001 + - SCNet + Training Data: COCO + Name: td-hm_scnet50_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.728 + AP@0.5: 0.899 + AP@0.75: 0.807 + AR: 0.784 + AR@0.5: 0.938 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/scnet/scnet50_coco_256x192-6920f829_20200709.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_scnet50_8xb32-210e_coco-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: topdown_heatmap_scnet50_coco_384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.751 + AP@0.5: 0.906 + AP@0.75: 0.818 + AR: 0.802 + AR@0.5: 0.942 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/scnet/scnet50_coco_384x288-9cacd0ea_20200709.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_scnet101_8xb32-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_scnet101_8xb32-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.733 + AP@0.5: 0.902 + AP@0.75: 0.811 + AR: 0.789 + AR@0.5: 0.94 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/scnet/scnet101_coco_256x192-6d348ef9_20200709.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_scnet101_8xb48-210e_coco-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_scnet101_8xb48-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.752 + AP@0.5: 0.906 + AP@0.75: 0.823 + AR: 0.804 + AR@0.5: 0.943 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/scnet/scnet101_coco_384x288-0b6e631b_20200709.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/seresnet_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/seresnet_coco.yml new file mode 100644 index 0000000000..945e84e223 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/seresnet_coco.yml @@ -0,0 +1,98 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_seresnet50_8xb64-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: &id001 + - SEResNet + Training Data: COCO + Name: td-hm_seresnet50_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.729 + AP@0.5: 0.903 + AP@0.75: 0.807 + AR: 0.784 + AR@0.5: 0.941 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/seresnet/seresnet50_coco_256x192-25058b66_20200727.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_seresnet50_8xb64-210e_coco-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_seresnet50_8xb64-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.748 + AP@0.5: 0.904 + AP@0.75: 0.819 + AR: 0.799 + AR@0.5: 0.941 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/seresnet/seresnet50_coco_384x288-bc0b7680_20200727.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_seresnet101_8xb64-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_seresnet101_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.734 + AP@0.5: 0.905 + AP@0.75: 0.814 + AR: 0.79 + AR@0.5: 0.941 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/seresnet/seresnet101_coco_256x192-83f29c4d_20200727.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_seresnet101_8xb32-210e_coco-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_seresnet101_8xb32-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.754 + AP@0.5: 0.907 + AP@0.75: 0.823 + AR: 0.805 + AR@0.5: 0.943 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/seresnet/seresnet101_coco_384x288-48de1709_20200727.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_seresnet152_8xb32-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_seresnet152_8xb32-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.73 + AP@0.5: 0.899 + AP@0.75: 0.81 + AR: 0.787 + AR@0.5: 0.939 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/seresnet/seresnet152_coco_256x192-1c628d79_20200727.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_seresnet152_8xb48-210e_coco-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_seresnet152_8xb48-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.753 + AP@0.5: 0.906 + AP@0.75: 0.824 + AR: 0.806 + AR@0.5: 0.945 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/seresnet/seresnet152_coco_384x288-58b23ee8_20200727.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/shufflenetv1_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/shufflenetv1_coco.yml new file mode 100644 index 0000000000..fbdc89936d --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/shufflenetv1_coco.yml @@ -0,0 +1,35 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_shufflenetv1_8xb64-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: &id001 + - SimpleBaseline2D + - ShufflenetV1 + Training Data: COCO + Name: td-hm_shufflenetv1_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.587 + AP@0.5: 0.849 + AP@0.75: 0.654 + AR: 0.654 + AR@0.5: 0.896 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_shufflenetv1_8xb64-210e_coco-256x192-7a7ea4f4_20221013.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_shufflenetv1_8xb64-210e_coco-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_shufflenetv1_8xb64-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.626 + AP@0.5: 0.862 + AP@0.75: 0.696 + AR: 0.687 + AR@0.5: 0.903 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_shufflenetv1_8xb64-210e_coco-384x288-8342f8ba_20221013.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/shufflenetv2_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/shufflenetv2_coco.yml new file mode 100644 index 0000000000..cdda3a8667 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/shufflenetv2_coco.yml @@ -0,0 +1,35 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_shufflenetv2_8xb64-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: &id001 + - SimpleBaseline2D + - ShufflenetV2 + Training Data: COCO + Name: td-hm_shufflenetv2_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.602 + AP@0.5: 0.857 + AP@0.75: 0.672 + AR: 0.668 + AR@0.5: 0.902 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_shufflenetv2_8xb64-210e_coco-256x192-51fb931e_20221014.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_shufflenetv2_8xb64-210e_coco-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_shufflenetv2_8xb64-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.638 + AP@0.5: 0.866 + AP@0.75: 0.707 + AR: 0.699 + AR@0.5: 0.91 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_shufflenetv2_8xb64-210e_coco-384x288-d30ab55c_20221014.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/swin_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/swin_coco.yml new file mode 100644 index 0000000000..09ede5fa5c --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/swin_coco.yml @@ -0,0 +1,99 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_swin-t-p4-w7_8xb32-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: &id001 + - SimpleBaseline2D + - Swin + Training Data: COCO + Name: td-hm_swin-t-p4-w7_8xb32-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.724 + AP@0.5: 0.901 + AP@0.75: 0.806 + AR: 0.782 + AR@0.5: 0.94 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/swin/swin_t_p4_w7_coco_256x192-eaefe010_20220503.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_swin-b-p4-w7_8xb32-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_swin-b-p4-w7_8xb32-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.737 + AP@0.5: 0.904 + AP@0.75: 0.82 + AR: 0.794 + AR@0.5: 0.942 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/swin/swin_b_p4_w7_coco_256x192-7432be9e_20220705.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_swin-b-p4-w7_8xb32-210e_coco-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_swin-b-p4-w7_8xb32-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.759 + AP@0.5: 0.91 + AP@0.75: 0.832 + AR: 0.811 + AR@0.5: 0.946 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/swin/swin_b_p4_w7_coco_384x288-3abf54f9_20220705.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_swin-l-p4-w7_8xb32-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_swin-l-p4-w7_8xb32-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.743 + AP@0.5: 0.906 + AP@0.75: 0.821 + AR: 0.798 + AR@0.5: 0.943 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/swin/swin_l_p4_w7_coco_256x192-642a89db_20220705.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_swin-l-p4-w7_8xb32-210e_coco-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_swin-l-p4-w7_8xb32-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.763 + AP@0.5: 0.912 + AP@0.75: 0.83 + AR: 0.814 + AR@0.5: 0.949 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/swin/swin_l_p4_w7_coco_384x288-c36b7845_20220705.pth +- Config: configs/body/2d_kpt_sview_rgb_img/topdown_heatmap/coco/swin_b_p4_w7_fpn_coco_256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO + Name: topdown_heatmap_swin_b_p4_w7_fpn_coco_256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.741 + AP@0.5: 0.907 + AP@0.75: 0.821 + AR: 0.798 + AR@0.5: 0.946 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/swin/swin_b_p4_w7_fpn_coco_256x192-a3b91c45_20220705.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/vgg_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/vgg_coco.yml new file mode 100644 index 0000000000..166fa05fcd --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/vgg_coco.yml @@ -0,0 +1,19 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_vgg16-bn_8xb64-210e_coco-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: + - SimpleBaseline2D + - VGG + Training Data: COCO + Name: td-hm_vgg16-bn_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.699 + AP@0.5: 0.89 + AP@0.75: 0.769 + AR: 0.754 + AR@0.5: 0.927 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/vgg/vgg16_bn_coco_256x192-7e7c58d6_20210517.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/vipnas_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/vipnas_coco.yml new file mode 100644 index 0000000000..cbdaa5bcab --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/vipnas_coco.yml @@ -0,0 +1,40 @@ +Collections: +- Name: ViPNAS + Paper: + Title: 'ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search' + URL: https://arxiv.org/abs/2105.10154 + README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/backbones/vipnas.md +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_vipnas-mbv3_8xb64-210e_coco-256x192.py + In Collection: ViPNAS + Metadata: + Architecture: &id001 + - ViPNAS + Training Data: COCO + Name: td-hm_vipnas-mbv3_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.7 + AP@0.5: 0.887 + AP@0.75: 0.783 + AR: 0.758 + AR@0.5: 0.929 + Task: Body 2D Keypoint + Weights: (https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_vipnas-mbv3_8xb64-210e_coco-256x192-e0987441_20221010.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_vipnas-res50_8xb64-210e_coco-256x192.py + In Collection: ViPNAS + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-hm_vipnas-res50_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.711 + AP@0.5: 0.894 + AP@0.75: 0.787 + AR: 0.769 + AR@0.5: 0.934 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_vipnas-res50_8xb64-210e_coco-256x192-35d4bff9_20220917.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/vitpose_coco.yml b/configs/body_2d_keypoint/topdown_heatmap/coco/vitpose_coco.yml index 82539568a3..f78a930fc1 100644 --- a/configs/body_2d_keypoint/topdown_heatmap/coco/vitpose_coco.yml +++ b/configs/body_2d_keypoint/topdown_heatmap/coco/vitpose_coco.yml @@ -3,7 +3,7 @@ Collections: Paper: Title: 'ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation' URL: https://arxiv.org/abs/2204.12484 - README: https://github.com/open-mmlab/mmpose/blob/1.x/docs/src/papers/algorithms/vitpose.md + README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/algorithms/vitpose.md Metadata: Training Resources: 8x A100 GPUs Models: diff --git a/configs/body_2d_keypoint/topdown_heatmap/crowdpose/cspnext_udp_crowdpose.yml b/configs/body_2d_keypoint/topdown_heatmap/crowdpose/cspnext_udp_crowdpose.yml new file mode 100644 index 0000000000..0dd4538134 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/crowdpose/cspnext_udp_crowdpose.yml @@ -0,0 +1,20 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/crowdpose/cspnext-m_udp_8xb64-210e_crowpose-256x192.py + In Collection: UDP + Metadata: + Architecture: + - UDP + - CSPNeXt + Training Data: CrowdPose + Name: cspnext-m_udp_8xb64-210e_crowpose-256x192 + Results: + - Dataset: CrowdPose + Metrics: + AP: 0.662 + AP (E): 0.759 + AP (H): 0.539 + AP (M): 0.675 + AP@0.5: 0.821 + AP@0.75: 0.723 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_udp-crowdpose_pt-in1k_210e-256x192-f591079f_20230123.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/crowdpose/hrnet_crowdpose.yml b/configs/body_2d_keypoint/topdown_heatmap/crowdpose/hrnet_crowdpose.yml new file mode 100644 index 0000000000..c37fa9154f --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/crowdpose/hrnet_crowdpose.yml @@ -0,0 +1,19 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/crowdpose/td-hm_hrnet-w32_8xb64-210e_crowdpose-256x192.py + In Collection: HRNet + Metadata: + Architecture: + - HRNet + Training Data: CrowdPose + Name: td-hm_hrnet-w32_8xb64-210e_crowdpose-256x192 + Results: + - Dataset: CrowdPose + Metrics: + AP: 0.675 + AP (E): 0.77 + AP (H): 0.553 + AP (M): 0.687 + AP@0.5: 0.825 + AP@0.75: 0.729 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w32_crowdpose_256x192-960be101_20201227.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/crowdpose/resnet_crowdpose.yml b/configs/body_2d_keypoint/topdown_heatmap/crowdpose/resnet_crowdpose.yml new file mode 100644 index 0000000000..1477c28deb --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/crowdpose/resnet_crowdpose.yml @@ -0,0 +1,71 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/crowdpose/td-hm_res50_8xb64-210e_crowdpose-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: &id001 + - SimpleBaseline2D + - ResNet + Training Data: CrowdPose + Name: td-hm_res50_8xb64-210e_crowdpose-256x192 + Results: + - Dataset: CrowdPose + Metrics: + AP: 0.637 + AP (E): 0.738 + AP (H): 0.506 + AP (M): 0.65 + AP@0.5: 0.808 + AP@0.75: 0.692 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res50_crowdpose_256x192-c6a526b6_20201227.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/crowdpose/td-hm_res101_8xb64-210e_crowdpose-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: CrowdPose + Name: td-hm_res101_8xb64-210e_crowdpose-256x192 + Results: + - Dataset: CrowdPose + Metrics: + AP: 0.647 + AP (E): 0.745 + AP (H): 0.521 + AP (M): 0.658 + AP@0.5: 0.81 + AP@0.75: 0.703 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res101_crowdpose_256x192-8f5870f4_20201227.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/crowdpose/td-hm_res101_8xb64-210e_crowdpose-320x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: CrowdPose + Name: td-hm_res101_8xb64-210e_crowdpose-320x256 + Results: + - Dataset: CrowdPose + Metrics: + AP: 0.661 + AP (E): 0.759 + AP (H): 0.534 + AP (M): 0.672 + AP@0.5: 0.821 + AP@0.75: 0.714 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res101_crowdpose_320x256-c88c512a_20201227.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/crowdpose/td-hm_res152_8xb64-210e_crowdpose-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: CrowdPose + Name: td-hm_res152_8xb64-210e_crowdpose-256x192 + Results: + - Dataset: CrowdPose + Metrics: + AP: 0.656 + AP (E): 0.754 + AP (H): 0.533 + AP (M): 0.666 + AP@0.5: 0.818 + AP@0.75: 0.712 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res152_crowdpose_256x192-dbd49aba_20201227.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/jhmdb/cpm_jhmdb.yml b/configs/body_2d_keypoint/topdown_heatmap/jhmdb/cpm_jhmdb.yml new file mode 100644 index 0000000000..f9f6d7568b --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/jhmdb/cpm_jhmdb.yml @@ -0,0 +1,116 @@ +Models: +- Config: configs/body/2d_kpt_sview_rgb_img/topdown_heatmap/jhmdb/td-hm_cpm_8xb32-40e_jhmdb-sub1-368x368.py + In Collection: CPM + Metadata: + Architecture: &id001 + - CPM + Training Data: JHMDB + Name: td-hm_cpm_8xb32-40e_jhmdb-sub1-368x368 + Results: + - Dataset: JHMDB + Metrics: + Ank: 87.3 + Elb: 81 + Head: 96.1 + Hip: 96.6 + Knee: 90.8 + Mean: 89.5 + Sho: 91.9 + Wri: 78.9 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/cpm/cpm_jhmdb_sub1_368x368-2d2585c9_20201122.pth +- Config: configs/body/2d_kpt_sview_rgb_img/topdown_heatmap/jhmdb/td-hm_cpm_8xb32-40e_jhmdb-sub2-368x368.py + In Collection: CPM + Metadata: + Architecture: *id001 + Training Data: JHMDB + Name: td-hm_cpm_8xb32-40e_jhmdb-sub2-368x368 + Results: + - Dataset: JHMDB + Metrics: + Ank: 84.7 + Elb: 77.1 + Head: 98.1 + Hip: 94.0 + Knee: 89.1 + Mean: 87.4 + Sho: 93.6 + Wri: 70.9 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/cpm/cpm_jhmdb_sub2_368x368-fc742f1f_20201122.pth +- Config: configs/body/2d_kpt_sview_rgb_img/topdown_heatmap/jhmdb/td-hm_cpm_8xb32-40e_jhmdb-sub3-368x368.py + In Collection: CPM + Metadata: + Architecture: *id001 + Training Data: JHMDB + Name: td-hm_cpm_8xb32-40e_jhmdb-sub3-368x368 + Results: + - Dataset: JHMDB + Metrics: + Ank: 86.2 + Elb: 87.3 + Head: 97.9 + Hip: 98.6 + Knee: 94.4 + Mean: 92.4 + Sho: 94.9 + Wri: 84.0 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/cpm/cpm_jhmdb_sub3_368x368-49337155_20201122.pth +- Config: configs/body/2d_kpt_sview_rgb_img/topdown_heatmap/jhmdb/td-hm_cpm_8xb32-40e_jhmdb-sub1-368x368.py + In Collection: CPM + Metadata: + Architecture: *id001 + Training Data: JHMDB + Name: td-hm_cpm_8xb32-40e_jhmdb-sub1-368x368 + Results: + - Dataset: JHMDB + Metrics: + Ank: 61.2 + Elb: 54.0 + Head: 89.0 + Hip: 68.2 + Knee: 63.1 + Mean: 66.0 + Sho: 63.0 + Wri: 54.9 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/cpm/cpm_jhmdb_sub1_368x368-2d2585c9_20201122.pth +- Config: configs/body/2d_kpt_sview_rgb_img/topdown_heatmap/jhmdb/td-hm_cpm_8xb32-40e_jhmdb-sub2-368x368.py + In Collection: CPM + Metadata: + Architecture: *id001 + Training Data: JHMDB + Name: td-hm_cpm_8xb32-40e_jhmdb-sub2-368x368 + Results: + - Dataset: JHMDB + Metrics: + Ank: 62.4 + Elb: 46.8 + Head: 90.3 + Hip: 60.8 + Knee: 58.2 + Mean: 61.1 + Sho: 57.9 + Wri: 44.3 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/cpm/cpm_jhmdb_sub2_368x368-fc742f1f_20201122.pth +- Config: configs/body/2d_kpt_sview_rgb_img/topdown_heatmap/jhmdb/td-hm_cpm_8xb32-40e_jhmdb-sub3-368x368.py + In Collection: CPM + Metadata: + Architecture: *id001 + Training Data: JHMDB + Name: td-hm_cpm_8xb32-40e_jhmdb-sub3-368x368 + Results: + - Dataset: JHMDB + Metrics: + Ank: 65.8 + Elb: 59.9 + Head: 91.0 + Hip: 73.2 + Knee: 68.5 + Mean: 70.3 + Sho: 72.6 + Wri: 54.0 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/cpm/cpm_jhmdb_sub3_368x368-49337155_20201122.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/jhmdb/resnet_jhmdb.yml b/configs/body_2d_keypoint/topdown_heatmap/jhmdb/resnet_jhmdb.yml new file mode 100644 index 0000000000..d7480d12a0 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/jhmdb/resnet_jhmdb.yml @@ -0,0 +1,231 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/jhmdb/td-hm_res50_8xb64-20e_jhmdb-sub1-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: &id001 + - SimpleBaseline2D + - ResNet + Training Data: JHMDB + Name: td-hm_res50_8xb64-20e_jhmdb-sub1-256x256 + Results: + - Dataset: JHMDB + Metrics: + Ank: 92.8 + Elb: 93.8 + Head: 99.1 + Hip: 99.4 + Knee: 96.5 + Mean: 96.1 + Sho: 98.0 + Wri: 91.3 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res50_jhmdb_sub1_256x256-932cb3b4_20201122.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/jhmdb/td-hm_res50_8xb64-20e_jhmdb-sub2-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: JHMDB + Name: td-hm_res50_8xb64-20e_jhmdb-sub2-256x256 + Results: + - Dataset: JHMDB + Metrics: + Ank: 94.1 + Elb: 90.6 + Head: 99.3 + Hip: 98.9 + Knee: 96.3 + Mean: 95.0 + Sho: 97.1 + Wri: 87.0 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res50_jhmdb_sub2_256x256-83d606f7_20201122.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/jhmdb/td-hm_res50_8xb64-20e_jhmdb-sub3-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: JHMDB + Name: td-hm_res50_8xb64-20e_jhmdb-sub3-256x256 + Results: + - Dataset: JHMDB + Metrics: + Ank: 94.7 + Elb: 94.0 + Head: 99.0 + Hip: 99.7 + Knee: 98.0 + Mean: 96.7 + Sho: 97.9 + Wri: 91.6 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res50_jhmdb_sub3_256x256-c4ec1a0b_20201122.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/jhmdb/td-hm_res50-2deconv_8xb64-40e_jhmdb-sub1-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: JHMDB + Name: td-hm_res50-2deconv_8xb64-40e_jhmdb-sub1-256x256 + Results: + - Dataset: JHMDB + Metrics: + Ank: 92.5 + Elb: 94.6 + Head: 99.1 + Hip: 99.4 + Knee: 94.6 + Mean: 96.1 + Sho: 98.5 + Wri: 92.0 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res50_2deconv_jhmdb_sub1_256x256-f0574a52_20201122.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/jhmdb/td-hm_res50-2deconv_8xb64-40e_jhmdb-sub2-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: JHMDB + Name: td-hm_res50-2deconv_8xb64-40e_jhmdb-sub2-256x256 + Results: + - Dataset: JHMDB + Metrics: + Ank: 93.8 + Elb: 91.0 + Head: 99.3 + Hip: 99.1 + Knee: 96.5 + Mean: 95.2 + Sho: 97.8 + Wri: 87.0 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res50_2deconv_jhmdb_sub2_256x256-f63af0ff_20201122.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/jhmdb/td-hm_res50-2deconv_8xb64-40e_jhmdb-sub3-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: JHMDB + Name: td-hm_res50-2deconv_8xb64-40e_jhmdb-sub3-256x256 + Results: + - Dataset: JHMDB + Metrics: + Ank: 93.8 + Elb: 94.3 + Head: 98.8 + Hip: 99.8 + Knee: 97.5 + Mean: 96.7 + Sho: 98.4 + Wri: 92.1 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res50_2deconv_jhmdb_sub3_256x256-c4bc2ddb_20201122.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/jhmdb/td-hm_res50_8xb64-20e_jhmdb-sub1-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: JHMDB + Name: td-hm_res50_8xb64-20e_jhmdb-sub1-256x256 + Results: + - Dataset: JHMDB + Metrics: + Ank: 78.9 + Elb: 74.4 + Head: 93.3 + Hip: 85.0 + Knee: 81.2 + Mean: 81.9 + Sho: 83.2 + Wri: 72.7 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res50_jhmdb_sub1_256x256-932cb3b4_20201122.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/jhmdb/td-hm_res50_8xb64-20e_jhmdb-sub2-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: JHMDB + Name: td-hm_res50_8xb64-20e_jhmdb-sub2-256x256 + Results: + - Dataset: JHMDB + Metrics: + Ank: 78.6 + Elb: 64.5 + Head: 94.1 + Hip: 77.9 + Knee: 71.9 + Mean: 75.5 + Sho: 74.9 + Wri: 62.5 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res50_jhmdb_sub2_256x256-83d606f7_20201122.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/jhmdb/td-hm_res50_8xb64-20e_jhmdb-sub3-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: JHMDB + Name: td-hm_res50_8xb64-20e_jhmdb-sub3-256x256 + Results: + - Dataset: JHMDB + Metrics: + Ank: 84.2 + Elb: 74.9 + Head: 97.0 + Hip: 84.7 + Knee: 83.7 + Mean: 82.9 + Sho: 82.2 + Wri: 70.7 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res50_jhmdb_sub3_256x256-c4ec1a0b_20201122.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/jhmdb/td-hm_res50-2deconv_8xb64-40e_jhmdb-sub1-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: JHMDB + Name: td-hm_res50-2deconv_8xb64-40e_jhmdb-sub1-256x256 + Results: + - Dataset: JHMDB + Metrics: + Ank: 75.0 + Elb: 73.2 + Head: 92.4 + Hip: 82.3 + Knee: 75.4 + Mean: 79.2 + Sho: 80.6 + Wri: 70.5 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res50_2deconv_jhmdb_sub1_256x256-f0574a52_20201122.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/jhmdb/td-hm_res50-2deconv_8xb64-40e_jhmdb-sub2-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: JHMDB + Name: td-hm_res50-2deconv_8xb64-40e_jhmdb-sub2-256x256 + Results: + - Dataset: JHMDB + Metrics: + Ank: 75.5 + Elb: 63.8 + Head: 93.4 + Hip: 75.1 + Knee: 68.4 + Mean: 73.7 + Sho: 73.6 + Wri: 60.5 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res50_2deconv_jhmdb_sub2_256x256-f63af0ff_20201122.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/jhmdb/td-hm_res50-2deconv_8xb64-40e_jhmdb-sub3-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: JHMDB + Name: td-hm_res50-2deconv_8xb64-40e_jhmdb-sub3-256x256 + Results: + - Dataset: JHMDB + Metrics: + Ank: 81.5 + Elb: 72.6 + Head: 96.1 + Hip: 83.6 + Knee: 80.9 + Mean: 81.2 + Sho: 81.2 + Wri: 67.9 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res50_2deconv_jhmdb_sub3_256x256-c4bc2ddb_20201122.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/mpii/cpm_mpii.yml b/configs/body_2d_keypoint/topdown_heatmap/mpii/cpm_mpii.yml new file mode 100644 index 0000000000..3e2e439253 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/mpii/cpm_mpii.yml @@ -0,0 +1,15 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/td-hm_cpm_8xb64-210e_mpii-368x368.py + In Collection: CPM + Metadata: + Architecture: + - CPM + Training Data: MPII + Name: td-hm_cpm_8xb64-210e_mpii-368x368 + Results: + - Dataset: MPII + Metrics: + Mean: 0.876 + Mean@0.1: 0.285 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/cpm/cpm_mpii_368x368-116e62b8_20200822.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/mpii/cspnext_udp_mpii.yml b/configs/body_2d_keypoint/topdown_heatmap/mpii/cspnext_udp_mpii.yml new file mode 100644 index 0000000000..b31e42b8af --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/mpii/cspnext_udp_mpii.yml @@ -0,0 +1,16 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/cspnext-m_udp_8xb64-210e_mpii-256x256.py + In Collection: UDP + Metadata: + Architecture: + - UDP + - CSPNeXt + Training Data: MPII + Name: cspnext-m_udp_8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.902 + Mean@0.1: 0.303 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_udp-mpii_pt-in1k_210e-256x256-68d0402f_20230208.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/mpii/hourglass_mpii.yml b/configs/body_2d_keypoint/topdown_heatmap/mpii/hourglass_mpii.yml new file mode 100644 index 0000000000..eb22cd98ce --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/mpii/hourglass_mpii.yml @@ -0,0 +1,28 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/td-hm_hourglass52_8xb64-210e_mpii-256x256.py + In Collection: Hourglass + Metadata: + Architecture: &id001 + - Hourglass + Training Data: MPII + Name: td-hm_hourglass52_8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.889 + Mean@0.1: 0.317 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hourglass/hourglass52_mpii_256x256-ae358435_20200812.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/td-hm_hourglass52_8xb32-210e_mpii-384x384.py + In Collection: Hourglass + Metadata: + Architecture: *id001 + Training Data: MPII + Name: td-hm_hourglass52_8xb32-210e_mpii-384x384 + Results: + - Dataset: MPII + Metrics: + Mean: 0.894 + Mean@0.1: 0.367 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hourglass/hourglass52_mpii_384x384-04090bc3_20200812.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/mpii/hrnet_dark_mpii.yml b/configs/body_2d_keypoint/topdown_heatmap/mpii/hrnet_dark_mpii.yml new file mode 100644 index 0000000000..0283b5c827 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/mpii/hrnet_dark_mpii.yml @@ -0,0 +1,29 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/td-hm_hrnet-w32_dark-8xb64-210e_mpii-256x256.py + In Collection: DarkPose + Metadata: + Architecture: &id001 + - HRNet + - DarkPose + Training Data: MPII + Name: td-hm_hrnet-w32_dark-8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.904 + Mean@0.1: 0.354 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w32_mpii_256x256_dark-f1601c5b_20200927.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/td-hm_hrnet-w48_dark-8xb64-210e_mpii-256x256.py + In Collection: DarkPose + Metadata: + Architecture: *id001 + Training Data: MPII + Name: td-hm_hrnet-w48_dark-8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.905 + Mean@0.1: 0.36 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w48_mpii_256x256_dark-0decd39f_20200927.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/mpii/hrnet_mpii.yml b/configs/body_2d_keypoint/topdown_heatmap/mpii/hrnet_mpii.yml new file mode 100644 index 0000000000..f32129742d --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/mpii/hrnet_mpii.yml @@ -0,0 +1,28 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/td-hm_hrnet-w32_8xb64-210e_mpii-256x256.py + In Collection: HRNet + Metadata: + Architecture: &id001 + - HRNet + Training Data: MPII + Name: td-hm_hrnet-w32_8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.9 + Mean@0.1: 0.334 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w32_mpii_256x256-6c4f923f_20200812.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/td-hm_hrnet-w48_8xb64-210e_mpii-256x256.py + In Collection: HRNet + Metadata: + Architecture: *id001 + Training Data: MPII + Name: td-hm_hrnet-w48_8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.901 + Mean@0.1: 0.337 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w48_mpii_256x256-92cab7bd_20200812.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/mpii/litehrnet_mpii.yml b/configs/body_2d_keypoint/topdown_heatmap/mpii/litehrnet_mpii.yml new file mode 100644 index 0000000000..c4314b7a74 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/mpii/litehrnet_mpii.yml @@ -0,0 +1,28 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/td-hm_litehrnet-18_8xb64-210e_mpii-256x256.py + In Collection: LiteHRNet + Metadata: + Architecture: &id001 + - LiteHRNet + Training Data: MPII + Name: td-hm_litehrnet-18_8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.859 + Mean@0.1: 0.26 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/litehrnet/litehrnet18_mpii_256x256-cabd7984_20210623.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/td-hm_litehrnet-30_8xb64-210e_mpii-256x256.py + In Collection: LiteHRNet + Metadata: + Architecture: *id001 + Training Data: MPII + Name: td-hm_litehrnet-30_8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.869 + Mean@0.1: 0.271 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/litehrnet/litehrnet30_mpii_256x256-faae8bd8_20210622.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/mpii/mobilenetv2_mpii.yml b/configs/body_2d_keypoint/topdown_heatmap/mpii/mobilenetv2_mpii.yml new file mode 100644 index 0000000000..afc54f7934 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/mpii/mobilenetv2_mpii.yml @@ -0,0 +1,16 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/td-hm_mobilenetv2_8xb64-210e_mpii-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: + - SimpleBaseline2D + - MobilenetV2 + Training Data: MPII + Name: td-hm_mobilenetv2_8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.854 + Mean@0.1: 0.234 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/mobilenetv2/mobilenetv2_mpii_256x256-e068afa7_20200812.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/mpii/resnet_mpii.yml b/configs/body_2d_keypoint/topdown_heatmap/mpii/resnet_mpii.yml new file mode 100644 index 0000000000..ff92c4f7ce --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/mpii/resnet_mpii.yml @@ -0,0 +1,42 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/td-hm_res50_8xb64-210e_mpii-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: &id001 + - SimpleBaseline2D + - ResNet + Training Data: MPII + Name: td-hm_res50_8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.882 + Mean@0.1: 0.286 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res50_mpii_256x256-418ffc88_20200812.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/td-hm_res101_8xb64-210e_mpii-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: MPII + Name: td-hm_res101_8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.888 + Mean@0.1: 0.29 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res101_mpii_256x256-416f5d71_20200812.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/td-hm_res152_8xb32-210e_mpii-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: MPII + Name: td-hm_res152_8xb32-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.889 + Mean@0.1: 0.303 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res152_mpii_256x256-3ecba29d_20200812.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/mpii/resnetv1d_mpii.yml b/configs/body_2d_keypoint/topdown_heatmap/mpii/resnetv1d_mpii.yml new file mode 100644 index 0000000000..e98e722db1 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/mpii/resnetv1d_mpii.yml @@ -0,0 +1,42 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/td-hm_resnetv1d50_8xb64-210e_mpii-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: &id001 + - SimpleBaseline2D + - ResNetV1D + Training Data: MPII + Name: td-hm_resnetv1d50_8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.881 + Mean@0.1: 0.29 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnetv1d/resnetv1d50_mpii_256x256-2337a92e_20200812.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/td-hm_resnetv1d101_8xb64-210e_mpii-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: MPII + Name: td-hm_resnetv1d101_8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.883 + Mean@0.1: 0.295 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnetv1d/resnetv1d101_mpii_256x256-2851d710_20200812.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/td-hm_resnetv1d152_8xb64-210e_mpii-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: MPII + Name: td-hm_resnetv1d152_8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.888 + Mean@0.1: 0.3 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnetv1d/resnetv1d152_mpii_256x256-8b10a87c_20200812.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/mpii/resnext_mpii.yml b/configs/body_2d_keypoint/topdown_heatmap/mpii/resnext_mpii.yml new file mode 100644 index 0000000000..580dda77b0 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/mpii/resnext_mpii.yml @@ -0,0 +1,16 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/td-hm_resnext152_8xb32-210e_mpii-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: + - SimpleBaseline2D + - ResNext + Training Data: MPII + Name: td-hm_resnext152_8xb32-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.887 + Mean@0.1: 0.294 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnext/resnext152_mpii_256x256-df302719_20200927.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/mpii/scnet_mpii.yml b/configs/body_2d_keypoint/topdown_heatmap/mpii/scnet_mpii.yml new file mode 100644 index 0000000000..b1ec80fd80 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/mpii/scnet_mpii.yml @@ -0,0 +1,29 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/td-hm_scnet50_8xb64-210e_mpii-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: &id001 + - SimpleBaseline2D + - SCNet + Training Data: MPII + Name: td-hm_scnet50_8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.888 + Mean@0.1: 0.29 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/scnet/scnet50_mpii_256x256-a54b6af5_20200812.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/td-hm_scnet101_8xb64-210e_mpii-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: MPII + Name: td-hm_scnet101_8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.887 + Mean@0.1: 0.293 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/scnet/scnet101_mpii_256x256-b4c2d184_20200812.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/mpii/seresnet_mpii.yml b/configs/body_2d_keypoint/topdown_heatmap/mpii/seresnet_mpii.yml new file mode 100644 index 0000000000..e71050811a --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/mpii/seresnet_mpii.yml @@ -0,0 +1,42 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/td-hm_seresnet50_8xb64-210e_mpii-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: &id001 + - SimpleBaseline2D + - SEResNet + Training Data: MPII + Name: td-hm_seresnet50_8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.884 + Mean@0.1: 0.292 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/seresnet/seresnet50_mpii_256x256-1bb21f79_20200927.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/td-hm_seresnet101_8xb64-210e_mpii-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: MPII + Name: td-hm_seresnet101_8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.884 + Mean@0.1: 0.295 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/seresnet/seresnet101_mpii_256x256-0ba14ff5_20200927.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/td-hm_seresnet152_8xb32-210e_mpii-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: MPII + Name: td-hm_seresnet152_8xb32-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.884 + Mean@0.1: 0.287 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/seresnet/seresnet152_mpii_256x256-6ea1e774_20200927.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/mpii/shufflenetv1_mpii.yml b/configs/body_2d_keypoint/topdown_heatmap/mpii/shufflenetv1_mpii.yml new file mode 100644 index 0000000000..b9edecc428 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/mpii/shufflenetv1_mpii.yml @@ -0,0 +1,16 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/td-hm_shufflenetv1_8xb64-210e_mpii-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: + - SimpleBaseline2D + - ShufflenetV1 + Training Data: MPII + Name: td-hm_shufflenetv1_8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.824 + Mean@0.1: 0.195 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/shufflenetv1/shufflenetv1_mpii_256x256-dcc1c896_20200925.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/mpii/shufflenetv2_mpii.yml b/configs/body_2d_keypoint/topdown_heatmap/mpii/shufflenetv2_mpii.yml new file mode 100644 index 0000000000..efa6e14f51 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/mpii/shufflenetv2_mpii.yml @@ -0,0 +1,16 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/mpii/td-hm_shufflenetv2_8xb64-210e_mpii-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: + - SimpleBaseline2D + - ShufflenetV2 + Training Data: MPII + Name: td-hm_shufflenetv2_8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.828 + Mean@0.1: 0.205 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/shufflenetv2/shufflenetv2_mpii_256x256-4fb9df2d_20200925.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/posetrack18/hrnet_posetrack18.yml b/configs/body_2d_keypoint/topdown_heatmap/posetrack18/hrnet_posetrack18.yml new file mode 100644 index 0000000000..a0dcc78f7c --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/posetrack18/hrnet_posetrack18.yml @@ -0,0 +1,154 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/posetrack18/td-hm_hrnet-w32_8xb64-20e_posetrack18-256x192.py + In Collection: HRNet + Metadata: + Architecture: &id001 + - HRNet + Training Data: PoseTrack18 + Name: td-hm_hrnet-w32_8xb64-20e_posetrack18-256x192 + Results: + - Dataset: PoseTrack18 + Metrics: + Ankl: 78.7 + Elb: 84.5 + Head: 86.2 + Hip: 82.3 + Knee: 82.5 + Shou: 89 + Total: 83.4 + Wri: 79.2 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w32_posetrack18_256x192-1ee951c4_20201028.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/posetrack18/td-hm_hrnet-w32_8xb64-20e_posetrack18-384x288.py + In Collection: HRNet + Metadata: + Architecture: *id001 + Training Data: PoseTrack18 + Name: td-hm_hrnet-w32_8xb64-20e_posetrack18-384x288 + Results: + - Dataset: PoseTrack18 + Metrics: + Ankl: 79.6 + Elb: 84.5 + Head: 87.1 + Hip: 80.6 + Knee: 82.8 + Shou: 89 + Total: 83.7 + Wri: 80.2 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w32_posetrack18_384x288-806f00a3_20211130.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/posetrack18/td-hm_hrnet-w48_8xb64-20e_posetrack18-256x192.py + In Collection: HRNet + Metadata: + Architecture: *id001 + Training Data: PoseTrack18 + Name: td-hm_hrnet-w48_8xb64-20e_posetrack18-256x192 + Results: + - Dataset: PoseTrack18 + Metrics: + Ankl: 79.6 + Elb: 85.1 + Head: 88.3 + Hip: 80.6 + Knee: 82.8 + Shou: 90.2 + Total: 84.6 + Wri: 81 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w48_posetrack18_256x192-b5d9b3f1_20211130.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/posetrack18/td-hm_hrnet-w48_8xb64-20e_posetrack18-384x288.py + In Collection: HRNet + Metadata: + Architecture: *id001 + Training Data: PoseTrack18 + Name: td-hm_hrnet-w48_8xb64-20e_posetrack18-384x288 + Results: + - Dataset: PoseTrack18 + Metrics: + Ankl: 80.6 + Elb: 86.2 + Head: 87.8 + Hip: 81 + Knee: 83.4 + Shou: 90 + Total: 84.6 + Wri: 81.3 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w48_posetrack18_384x288-5fd6d3ff_20211130.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/posetrack18/td-hm_hrnet-w32_8xb64-20e_posetrack18-256x192.py + In Collection: HRNet + Metadata: + Architecture: *id001 + Training Data: PoseTrack18 + Name: td-hm_hrnet-w32_8xb64-20e_posetrack18-256x192 + Results: + - Dataset: PoseTrack18 + Metrics: + Ankl: 70.2 + Elb: 79.5 + Head: 78.0 + Hip: 76.9 + Knee: 76.6 + Shou: 82.9 + Total: 76.9 + Wri: 73.8 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w32_posetrack18_256x192-1ee951c4_20201028.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/posetrack18/td-hm_hrnet-w32_8xb64-20e_posetrack18-384x288.py + In Collection: HRNet + Metadata: + Architecture: *id001 + Training Data: PoseTrack18 + Name: td-hm_hrnet-w32_8xb64-20e_posetrack18-384x288 + Results: + - Dataset: PoseTrack18 + Metrics: + Ankl: 70.5 + Elb: 80.4 + Head: 79.9 + Hip: 74.8 + Knee: 76.1 + Shou: 83.6 + Total: 77.3 + Wri: 74.5 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w32_posetrack18_384x288-806f00a3_20211130.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/posetrack18/td-hm_hrnet-w48_8xb64-20e_posetrack18-256x192.py + In Collection: HRNet + Metadata: + Architecture: *id001 + Training Data: PoseTrack18 + Name: td-hm_hrnet-w48_8xb64-20e_posetrack18-256x192 + Results: + - Dataset: PoseTrack18 + Metrics: + Ankl: 70.4 + Elb: 80.6 + Head: 80.1 + Hip: 74.3 + Knee: 76.8 + Shou: 83.4 + Total: 77.4 + Wri: 74.8 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w48_posetrack18_256x192-b5d9b3f1_20211130.pth +- Config: configs/body_2d_keypoint/topdown_heatmap/posetrack18/td-hm_hrnet-w48_8xb64-20e_posetrack18-384x288.py + In Collection: HRNet + Metadata: + Architecture: *id001 + Training Data: PoseTrack18 + Name: td-hm_hrnet-w48_8xb64-20e_posetrack18-384x288 + Results: + - Dataset: PoseTrack18 + Metrics: + Ankl: 71.7 + Elb: 80.9 + Head: 80.2 + Hip: 74.7 + Knee: 76.7 + Shou: 83.8 + Total: 77.8 + Wri: 75.2 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w48_posetrack18_384x288-5fd6d3ff_20211130.pth diff --git a/configs/body_2d_keypoint/topdown_heatmap/posetrack18/resnet_posetrack18.yml b/configs/body_2d_keypoint/topdown_heatmap/posetrack18/resnet_posetrack18.yml new file mode 100644 index 0000000000..478ffa247e --- /dev/null +++ b/configs/body_2d_keypoint/topdown_heatmap/posetrack18/resnet_posetrack18.yml @@ -0,0 +1,22 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_heatmap/posetrack18/td-hm_res50_8xb64-20e_posetrack18-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: &id001 + - SimpleBaseline2D + - ResNet + Training Data: PoseTrack18 + Name: td-hm_res50_8xb64-20e_posetrack18-256x192 + Results: + - Dataset: PoseTrack18 + Metrics: + Ankl: 74.2 + Elb: 82.5 + Head: 86.5 + Hip: 80.1 + Knee: 78.8 + Shou: 87.7 + Total: 81.2 + Wri: 75.8 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res50_posetrack18_256x192-a62807c7_20201028.pth diff --git a/configs/body_2d_keypoint/topdown_regression/coco/mobilenetv2_rle_coco.yml b/configs/body_2d_keypoint/topdown_regression/coco/mobilenetv2_rle_coco.yml new file mode 100644 index 0000000000..c0f470432b --- /dev/null +++ b/configs/body_2d_keypoint/topdown_regression/coco/mobilenetv2_rle_coco.yml @@ -0,0 +1,20 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_regression/coco/td-reg_mobilenetv2_rle-pretrained-8xb64-210e_coco-256x192.py + In Collection: RLE + Metadata: + Architecture: &id001 + - DeepPose + - RLE + - MobileNet + Training Data: COCO + Name: td-reg_mobilenetv2_rle-pretrained-8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.593 + AP@0.5: 0.836 + AP@0.75: 0.66 + AR: 0.644 + AR@0.5: 0.877 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_regression/coco/td-reg_mobilenetv2_rle-pretrained-8xb64-210e_coco-256x192-39b73bd5_20220922.pth diff --git a/configs/body_2d_keypoint/topdown_regression/coco/resnet_coco.yml b/configs/body_2d_keypoint/topdown_regression/coco/resnet_coco.yml new file mode 100644 index 0000000000..e66b3043c6 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_regression/coco/resnet_coco.yml @@ -0,0 +1,57 @@ +Collections: +- Name: DeepPose + Paper: + Title: "Deeppose: Human pose estimation via deep neural networks" + URL: http://openaccess.thecvf.com/content_cvpr_2014/html/Toshev_DeepPose_Human_Pose_2014_CVPR_paper.html + README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/algorithms/deeppose.md +Models: +- Config: configs/body_2d_keypoint/topdown_regression/coco/td-reg_res50_8xb64-210e_coco-256x192.py + In Collection: DeepPose + Metadata: + Architecture: &id001 + - DeepPose + - ResNet + Training Data: COCO + Name: td-reg_res50_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.541 + AP@0.5: 0.824 + AP@0.75: 0.601 + AR: 0.649 + AR@0.5: 0.893 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_regression/coco/td-reg_res50_8xb64-210e_coco-256x192-72ef04f3_20220913.pth +- Config: configs/body_2d_keypoint/topdown_regression/coco/td-reg_res101_8xb64-210e_coco-256x192.py + In Collection: DeepPose + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-reg_res101_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.562 + AP@0.5: 0.831 + AP@0.75: 0.629 + AR: 0.67 + AR@0.5: 0.9 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/deeppose/deeppose_res101_coco_256x192-2f247111_20210205.pth +- Config: configs/body_2d_keypoint/topdown_regression/coco/td-reg_res152_8xb64-210e_coco-256x192.py + In Collection: DeepPose + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-reg_res152_8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.584 + AP@0.5: 0.842 + AP@0.75: 0.659 + AR: 0.688 + AR@0.5: 0.907 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/deeppose/deeppose_res152_coco_256x192-7df89a88_20210205.pth diff --git a/configs/body_2d_keypoint/topdown_regression/coco/resnet_rle_coco.yml b/configs/body_2d_keypoint/topdown_regression/coco/resnet_rle_coco.yml new file mode 100644 index 0000000000..97ae41b8f2 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_regression/coco/resnet_rle_coco.yml @@ -0,0 +1,90 @@ +Collections: +- Name: RLE + Paper: + Title: Human pose regression with residual log-likelihood estimation + URL: https://arxiv.org/abs/2107.11291 + README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/techniques/rle.md +Models: +- Config: configs/body_2d_keypoint/topdown_regression/coco/td-reg_res50_rle-8xb64-210e_coco-256x192.py + In Collection: RLE + Metadata: + Architecture: &id001 + - DeepPose + - RLE + - ResNet + Training Data: COCO + Name: td-reg_res50_rle-8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.706 + AP@0.5: 0.888 + AP@0.75: 0.776 + AR: 0.753 + AR@0.5: 0.924 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_regression/coco/td-reg_res50_rle-8xb64-210e_coco-256x192-d37efd64_20220913.pth +- Config: configs/body_2d_keypoint/topdown_regression/coco/td-reg_res50_rle-pretrained-8xb64-210e_coco-256x192.py + In Collection: RLE + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-reg_res50_rle-pretrained-8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.719 + AP@0.5: 0.891 + AP@0.75: 0.788 + AR: 0.764 + AR@0.5: 0.925 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_regression/coco/td-reg_res50_rle-pretrained-8xb64-210e_coco-256x192-2cb494ee_20220913.pth +- Config: configs/body_2d_keypoint/topdown_regression/coco/td-reg_res101_rle-8xb64-210e_coco-256x192.py + In Collection: RLE + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-reg_res101_rle-8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.722 + AP@0.5: 0.894 + AP@0.75: 0.794 + AR: 0.768 + AR@0.5: 0.93 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/deeppose/deeppose_res101_coco_256x192_rle-16c3d461_20220615.pth +- Config: configs/body_2d_keypoint/topdown_regression/coco/td-reg_res152_rle-8xb64-210e_coco-256x192.py + In Collection: RLE + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-reg_res152_rle-8xb64-210e_coco-256x192 + Results: + - Dataset: COCO + Metrics: + AP: 0.731 + AP@0.5: 0.897 + AP@0.75: 0.805 + AR: 0.777 + AR@0.5: 0.933 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/deeppose/deeppose_res152_coco_256x192_rle-c05bdccf_20220615.pth +- Config: configs/body_2d_keypoint/topdown_regression/coco/td-reg_res152_rle-8xb64-210e_coco-384x288.py + In Collection: RLE + Metadata: + Architecture: *id001 + Training Data: COCO + Name: td-reg_res152_rle-8xb64-210e_coco-384x288 + Results: + - Dataset: COCO + Metrics: + AP: 0.749 + AP@0.5: 0.901 + AP@0.75: 0.815 + AR: 0.793 + AR@0.5: 0.935 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/deeppose/deeppose_res152_coco_384x288_rle-b77c4c37_20220624.pth diff --git a/configs/body_2d_keypoint/topdown_regression/mpii/resnet_mpii.yml b/configs/body_2d_keypoint/topdown_regression/mpii/resnet_mpii.yml new file mode 100644 index 0000000000..a744083e97 --- /dev/null +++ b/configs/body_2d_keypoint/topdown_regression/mpii/resnet_mpii.yml @@ -0,0 +1,42 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_regression/mpii/td-reg_res50_8xb64-210e_mpii-256x256.py + In Collection: DeepPose + Metadata: + Architecture: &id001 + - DeepPose + - ResNet + Training Data: MPII + Name: td-reg_res50_8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.826 + Mean@0.1: 0.18 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/deeppose/deeppose_res50_mpii_256x256-c63cd0b6_20210203.pth +- Config: configs/body_2d_keypoint/topdown_regression/mpii/td-reg_res101_8xb64-210e_mpii-256x256.py + In Collection: DeepPose + Metadata: + Architecture: *id001 + Training Data: MPII + Name: td-reg_res101_8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.841 + Mean@0.1: 0.2 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/deeppose/deeppose_res101_mpii_256x256-87516a90_20210205.pth +- Config: configs/body_2d_keypoint/topdown_regression/mpii/td-reg_res152_8xb64-210e_mpii-256x256.py + In Collection: DeepPose + Metadata: + Architecture: *id001 + Training Data: MPII + Name: td-reg_res152_8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.85 + Mean@0.1: 0.208 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/deeppose/deeppose_res152_mpii_256x256-15f5e6f9_20210205.pth diff --git a/configs/body_2d_keypoint/topdown_regression/mpii/resnet_rle_mpii.yml b/configs/body_2d_keypoint/topdown_regression/mpii/resnet_rle_mpii.yml new file mode 100644 index 0000000000..a03586d42c --- /dev/null +++ b/configs/body_2d_keypoint/topdown_regression/mpii/resnet_rle_mpii.yml @@ -0,0 +1,17 @@ +Models: +- Config: configs/body_2d_keypoint/topdown_regression/mpii/td-reg_res50_rle-8xb64-210e_mpii-256x256.py + In Collection: RLE + Metadata: + Architecture: + - DeepPose + - RLE + - ResNet + Training Data: MPII + Name: td-reg_res50_rle-8xb64-210e_mpii-256x256 + Results: + - Dataset: MPII + Metrics: + Mean: 0.861 + Mean@0.1: 0.277 + Task: Body 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/deeppose/deeppose_res50_mpii_256x256_rle-5f92a619_20220504.pth diff --git a/configs/face_2d_keypoint/rtmpose/coco_wholebody_face/rtmpose_coco_wholebody_face.yml b/configs/face_2d_keypoint/rtmpose/coco_wholebody_face/rtmpose_coco_wholebody_face.yml new file mode 100644 index 0000000000..81c96b9eec --- /dev/null +++ b/configs/face_2d_keypoint/rtmpose/coco_wholebody_face/rtmpose_coco_wholebody_face.yml @@ -0,0 +1,14 @@ +Models: +- Config: configs/face_2d_keypoint/rtmpose/coco_wholebody_face/rtmpose-m_8xb32-60e_coco-wholebody-face-256x256.py + In Collection: RTMPose + Metadata: + Architecture: + - RTMPose + Training Data: COCO-WholeBody-Face + Name: rtmpose-m_8xb32-60e_coco-wholebody-face-256x256 + Results: + - Dataset: COCO-WholeBody-Face + Metrics: + NME: 0.0466 + Task: Face 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-coco-wholebody-face_pt-aic-coco_60e-256x256-62026ef2_20230228.pth diff --git a/configs/face_2d_keypoint/rtmpose/wflw/rtmpose_wflw.yml b/configs/face_2d_keypoint/rtmpose/wflw/rtmpose_wflw.yml new file mode 100644 index 0000000000..ea21104f7d --- /dev/null +++ b/configs/face_2d_keypoint/rtmpose/wflw/rtmpose_wflw.yml @@ -0,0 +1,14 @@ +Models: +- Config: configs/face_2d_keypoint/rtmpose/wflw/rtmpose-m_8xb64-60e_wflw-256x256.py + In Collection: RTMPose + Metadata: + Architecture: + - RTMPose + Training Data: WFLW + Name: rtmpose-m_8xb64-60e_wflw-256x256 + Results: + - Dataset: WFLW + Metrics: + NME: 4.01 + Task: Face 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-wflw_pt-aic-coco_60e-256x256-dc1dcdcf_20230228.pth diff --git a/configs/face_2d_keypoint/topdown_heatmap/300w/hrnetv2_300w.yml b/configs/face_2d_keypoint/topdown_heatmap/300w/hrnetv2_300w.yml new file mode 100644 index 0000000000..58dcb4832a --- /dev/null +++ b/configs/face_2d_keypoint/topdown_heatmap/300w/hrnetv2_300w.yml @@ -0,0 +1,23 @@ +Collections: +- Name: HRNetv2 + Paper: + Title: Deep High-Resolution Representation Learning for Visual Recognition + URL: https://ieeexplore.ieee.org/abstract/document/9052469/ + README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/backbones/hrnetv2.md +Models: +- Config: configs/face_2d_keypoint/topdown_heatmap/300w/td-hm_hrnetv2-w18_8xb64-60e_300w-256x256.py + In Collection: HRNetv2 + Metadata: + Architecture: + - HRNetv2 + Training Data: 300W + Name: td-hm_hrnetv2-w18_8xb64-60e_300w-256x256 + Results: + - Dataset: 300W + Metrics: + NME challenge: 5.64 + NME common: 2.92 + NME full: 3.45 + NME test: 4.1 + Task: Face 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/face/hrnetv2/hrnetv2_w18_300w_256x256-eea53406_20211019.pth diff --git a/configs/face_2d_keypoint/topdown_heatmap/aflw/hrnetv2_aflw.yml b/configs/face_2d_keypoint/topdown_heatmap/aflw/hrnetv2_aflw.yml new file mode 100644 index 0000000000..06d2d43b9c --- /dev/null +++ b/configs/face_2d_keypoint/topdown_heatmap/aflw/hrnetv2_aflw.yml @@ -0,0 +1,15 @@ +Models: +- Config: configs/face_2d_keypoint/topdown_heatmap/aflw/td-hm_hrnetv2-w18_8xb64-60e_aflw-256x256.py + In Collection: HRNetv2 + Metadata: + Architecture: + - HRNetv2 + Training Data: AFLW + Name: td-hm_hrnetv2-w18_8xb64-60e_aflw-256x256 + Results: + - Dataset: AFLW + Metrics: + NME frontal: 1.27 + NME full: 1.41 + Task: Face 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/face/hrnetv2/hrnetv2_w18_aflw_256x256-f2bbc62b_20210125.pth diff --git a/configs/face_2d_keypoint/topdown_heatmap/aflw/hrnetv2_dark_aflw.yml b/configs/face_2d_keypoint/topdown_heatmap/aflw/hrnetv2_dark_aflw.yml new file mode 100644 index 0000000000..54c0953897 --- /dev/null +++ b/configs/face_2d_keypoint/topdown_heatmap/aflw/hrnetv2_dark_aflw.yml @@ -0,0 +1,16 @@ +Models: +- Config: configs/face_2d_keypoint/topdown_heatmap/aflw/td-hm_hrnetv2-w18_dark-8xb64-60e_aflw-256x256.py + In Collection: DarkPose + Metadata: + Architecture: + - HRNetv2 + - DarkPose + Training Data: AFLW + Name: td-hm_hrnetv2-w18_dark-8xb64-60e_aflw-256x256 + Results: + - Dataset: AFLW + Metrics: + NME frontal: 1.19 + NME full: 1.34 + Task: Face 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/face/darkpose/hrnetv2_w18_aflw_256x256_dark-219606c0_20210125.pth diff --git a/configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/hourglass_coco_wholebody_face.yml b/configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/hourglass_coco_wholebody_face.yml new file mode 100644 index 0000000000..704c01983e --- /dev/null +++ b/configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/hourglass_coco_wholebody_face.yml @@ -0,0 +1,14 @@ +Models: +- Config: configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/td-hm_hourglass52_8xb32-60e_coco-wholebody-face-256x256.py + In Collection: Hourglass + Metadata: + Architecture: + - Hourglass + Training Data: COCO-WholeBody-Face + Name: td-hm_hourglass52_8xb32-60e_coco-wholebody-face-256x256 + Results: + - Dataset: COCO-WholeBody-Face + Metrics: + NME: 0.0587 + Task: Face 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/face/hourglass/hourglass52_coco_wholebody_face_256x256-6994cf2e_20210909.pth diff --git a/configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/hrnetv2_coco_wholebody_face.yml b/configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/hrnetv2_coco_wholebody_face.yml new file mode 100644 index 0000000000..0a4a38d5b7 --- /dev/null +++ b/configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/hrnetv2_coco_wholebody_face.yml @@ -0,0 +1,14 @@ +Models: +- Config: configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/td-hm_hrnetv2-w18_8xb32-60e_coco-wholebody-face-256x256.py + In Collection: HRNetv2 + Metadata: + Architecture: + - HRNetv2 + Training Data: COCO-WholeBody-Face + Name: td-hm_hrnetv2-w18_8xb32-60e_coco-wholebody-face-256x256 + Results: + - Dataset: COCO-WholeBody-Face + Metrics: + NME: 0.0569 + Task: Face 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/face/hrnetv2/hrnetv2_w18_coco_wholebody_face_256x256-c1ca469b_20210909.pth diff --git a/configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/hrnetv2_dark_coco_wholebody_face.yml b/configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/hrnetv2_dark_coco_wholebody_face.yml new file mode 100644 index 0000000000..cedc4950f9 --- /dev/null +++ b/configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/hrnetv2_dark_coco_wholebody_face.yml @@ -0,0 +1,15 @@ +Models: +- Config: configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/td-hm_hrnetv2-w18_dark-8xb32-60e_coco-wholebody-face-256x256.py + In Collection: DarkPose + Metadata: + Architecture: + - HRNetv2 + - DarkPose + Training Data: COCO-WholeBody-Face + Name: td-hm_hrnetv2-w18_dark-8xb32-60e_coco-wholebody-face-256x256 + Results: + - Dataset: COCO-WholeBody-Face + Metrics: + NME: 0.0513 + Task: Face 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/face/darkpose/hrnetv2_w18_coco_wholebody_face_256x256_dark-3d9a334e_20210909.pth diff --git a/configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/mobilenetv2_coco_wholebody_face.yml b/configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/mobilenetv2_coco_wholebody_face.yml new file mode 100644 index 0000000000..2bd4352119 --- /dev/null +++ b/configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/mobilenetv2_coco_wholebody_face.yml @@ -0,0 +1,15 @@ +Models: +- Config: configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/td-hm_mobilenetv2_8xb32-60e_coco-wholebody-face-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: + - SimpleBaseline2D + - MobilenetV2 + Training Data: COCO-WholeBody-Face + Name: td-hm_mobilenetv2_8xb32-60e_coco-wholebody-face-256x256 + Results: + - Dataset: COCO-WholeBody-Face + Metrics: + NME: 0.0611 + Task: Face 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/face/mobilenetv2/mobilenetv2_coco_wholebody_face_256x256-4a3f096e_20210909.pth diff --git a/configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/resnet_coco_wholebody_face.yml b/configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/resnet_coco_wholebody_face.yml new file mode 100644 index 0000000000..ef91a3da21 --- /dev/null +++ b/configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/resnet_coco_wholebody_face.yml @@ -0,0 +1,15 @@ +Models: +- Config: configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/td-hm_res50_8xb32-60e_coco-wholebody-face-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: + - SimpleBaseline2D + - ResNet + Training Data: COCO-WholeBody-Face + Name: td-hm_res50_8xb32-60e_coco-wholebody-face-256x256 + Results: + - Dataset: COCO-WholeBody-Face + Metrics: + NME: 0.0582 + Task: Face 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/face/resnet/res50_coco_wholebody_face_256x256-5128edf5_20210909.pth diff --git a/configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/scnet_coco_wholebody_face.yml b/configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/scnet_coco_wholebody_face.yml new file mode 100644 index 0000000000..d3b052ffc5 --- /dev/null +++ b/configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/scnet_coco_wholebody_face.yml @@ -0,0 +1,15 @@ +Models: +- Config: configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/td-hm_scnet50_8xb32-60e_coco-wholebody-face-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: + - SimpleBaseline2D + - SCNet + Training Data: COCO-WholeBody-Face + Name: td-hm_scnet50_8xb32-60e_coco-wholebody-face-256x256 + Results: + - Dataset: COCO-WholeBody-Face + Metrics: + NME: 0.0567 + Task: Face 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/face/scnet/scnet50_coco_wholebody_face_256x256-a0183f5f_20210909.pth diff --git a/configs/face_2d_keypoint/topdown_heatmap/cofw/hrnetv2_cofw.yml b/configs/face_2d_keypoint/topdown_heatmap/cofw/hrnetv2_cofw.yml new file mode 100644 index 0000000000..733e275685 --- /dev/null +++ b/configs/face_2d_keypoint/topdown_heatmap/cofw/hrnetv2_cofw.yml @@ -0,0 +1,14 @@ +Models: +- Config: configs/face_2d_keypoint/topdown_heatmap/cofw/td-hm_hrnetv2-w18_8xb64-60e_cofw-256x256.py + In Collection: HRNetv2 + Metadata: + Architecture: + - HRNetv2 + Training Data: COFW + Name: td-hm_hrnetv2-w18_8xb64-60e_cofw-256x256 + Results: + - Dataset: COFW + Metrics: + NME: 3.48 + Task: Face 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/face/hrnetv2/hrnetv2_w18_cofw_256x256-49243ab8_20211019.pth diff --git a/configs/face_2d_keypoint/topdown_heatmap/wflw/hrnetv2_awing_wflw.yml b/configs/face_2d_keypoint/topdown_heatmap/wflw/hrnetv2_awing_wflw.yml new file mode 100644 index 0000000000..6ba45c82b7 --- /dev/null +++ b/configs/face_2d_keypoint/topdown_heatmap/wflw/hrnetv2_awing_wflw.yml @@ -0,0 +1,21 @@ +Models: +- Config: configs/face_2d_keypoint/topdown_heatmap/wflw/td-hm_hrnetv2-w18_awing-8xb64-60e_wflw-256x256.py + In Collection: HRNetv2 + Metadata: + Architecture: + - HRNetv2 + - AdaptiveWingloss + Training Data: WFLW + Name: td-hm_hrnetv2-w18_awing-8xb64-60e_wflw-256x256 + Results: + - Dataset: WFLW + Metrics: + NME blur: 4.59 + NME expression: 4.28 + NME illumination: 3.97 + NME makeup: 3.87 + NME occlusion: 4.78 + NME pose: 6.94 + NME test: 4.02 + Task: Face 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/face/hrnetv2/hrnetv2_w18_wflw_256x256_awing-5af5055c_20211212.pth diff --git a/configs/face_2d_keypoint/topdown_heatmap/wflw/hrnetv2_dark_wflw.yml b/configs/face_2d_keypoint/topdown_heatmap/wflw/hrnetv2_dark_wflw.yml new file mode 100644 index 0000000000..bbb82185cf --- /dev/null +++ b/configs/face_2d_keypoint/topdown_heatmap/wflw/hrnetv2_dark_wflw.yml @@ -0,0 +1,21 @@ +Models: +- Config: configs/face_2d_keypoint/topdown_heatmap/wflw/td-hm_hrnetv2-w18_dark-8xb64-60e_wflw-256x256.py + In Collection: DarkPose + Metadata: + Architecture: + - HRNetv2 + - DarkPose + Training Data: WFLW + Name: td-hm_hrnetv2-w18_dark-8xb64-60e_wflw-256x256 + Results: + - Dataset: WFLW + Metrics: + NME blur: 4.56 + NME expression: 4.29 + NME illumination: 3.96 + NME makeup: 3.89 + NME occlusion: 4.78 + NME pose: 6.98 + NME test: 3.98 + Task: Face 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/face/darkpose/hrnetv2_w18_wflw_256x256_dark-3f8e0c2c_20210125.pth diff --git a/configs/face_2d_keypoint/topdown_heatmap/wflw/hrnetv2_wflw.yml b/configs/face_2d_keypoint/topdown_heatmap/wflw/hrnetv2_wflw.yml index d995bc6df3..8c6f554306 100644 --- a/configs/face_2d_keypoint/topdown_heatmap/wflw/hrnetv2_wflw.yml +++ b/configs/face_2d_keypoint/topdown_heatmap/wflw/hrnetv2_wflw.yml @@ -1,9 +1,3 @@ -Collections: -- Name: HRNetv2 - Paper: - Title: Deep High-Resolution Representation Learning for Visual Recognition - URL: https://arxiv.org/abs/1908.07919 - README: https://github.com/open-mmlab/mmpose/blob/1.x/docs/src/papers/backbones/hrnetv2.md Models: - Config: configs/face_2d_keypoint/topdown_heatmap/wflw/td-hm_hrnetv2-w18_8xb64-60e_wflw-256x256.py In Collection: HRNetv2 diff --git a/configs/hand_2d_keypoint/rtmpose/coco_wholebody_hand/rtmpose_coco_wholebody_hand.yml b/configs/hand_2d_keypoint/rtmpose/coco_wholebody_hand/rtmpose_coco_wholebody_hand.yml new file mode 100644 index 0000000000..67055a521d --- /dev/null +++ b/configs/hand_2d_keypoint/rtmpose/coco_wholebody_hand/rtmpose_coco_wholebody_hand.yml @@ -0,0 +1,16 @@ +Models: +- Config: configs/hand_2d_keypoint/rtmpose/coco_wholebody_hand/rtmpose-m_8xb32-210e_coco-wholebody-hand-256x256.py + In Collection: RTMPose + Metadata: + Architecture: + - RTMPose + Training Data: COCO-WholeBody-Hand + Name: rtmpose-m_8xb32-210e_coco-wholebody-hand-256x256 + Results: + - Dataset: COCO-WholeBody-Hand + Metrics: + AUC: 0.815 + EPE: 4.51 + PCK@0.2: 0.837 + Task: Hand 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-coco-wholebody-hand_pt-aic-coco_210e-256x256-99477206_20230228.pth diff --git a/configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/hourglass_coco_wholebody_hand.yml b/configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/hourglass_coco_wholebody_hand.yml new file mode 100644 index 0000000000..f6247504e2 --- /dev/null +++ b/configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/hourglass_coco_wholebody_hand.yml @@ -0,0 +1,16 @@ +Models: +- Config: configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/td-hm_hourglass52_8xb32-210e_coco-wholebody-hand-256x256.py + In Collection: Hourglass + Metadata: + Architecture: + - Hourglass + Training Data: COCO-WholeBody-Hand + Name: td-hm_hourglass52_8xb32-210e_coco-wholebody-hand-256x256 + Results: + - Dataset: COCO-WholeBody-Hand + Metrics: + AUC: 0.835 + EPE: 4.54 + PCK@0.2: 0.804 + Task: Hand 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/hand/hourglass/hourglass52_coco_wholebody_hand_256x256-7b05c6db_20210909.pth diff --git a/configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/hrnetv2_coco_wholebody_hand.yml b/configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/hrnetv2_coco_wholebody_hand.yml new file mode 100644 index 0000000000..f6c0046f66 --- /dev/null +++ b/configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/hrnetv2_coco_wholebody_hand.yml @@ -0,0 +1,16 @@ +Models: +- Config: configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/td-hm_hrnetv2-w18_8xb32-210e_coco-wholebody-hand-256x256.py + In Collection: HRNetv2 + Metadata: + Architecture: + - HRNetv2 + Training Data: COCO-WholeBody-Hand + Name: td-hm_hrnetv2-w18_8xb32-210e_coco-wholebody-hand-256x256 + Results: + - Dataset: COCO-WholeBody-Hand + Metrics: + AUC: 0.84 + EPE: 4.39 + PCK@0.2: 0.813 + Task: Hand 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/hand/hrnetv2/hrnetv2_w18_coco_wholebody_hand_256x256-1c028db7_20210908.pth diff --git a/configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/hrnetv2_dark_coco_wholebody_hand.yml b/configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/hrnetv2_dark_coco_wholebody_hand.yml new file mode 100644 index 0000000000..af1d607d10 --- /dev/null +++ b/configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/hrnetv2_dark_coco_wholebody_hand.yml @@ -0,0 +1,17 @@ +Models: +- Config: configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/td-hm_hrnetv2-w18_dark-8xb32-210e_coco-wholebody-hand-256x256.py + In Collection: DarkPose + Metadata: + Architecture: + - HRNetv2 + - DarkPose + Training Data: COCO-WholeBody-Hand + Name: td-hm_hrnetv2-w18_dark-8xb32-210e_coco-wholebody-hand-256x256 + Results: + - Dataset: COCO-WholeBody-Hand + Metrics: + AUC: 0.84 + EPE: 4.37 + PCK@0.2: 0.814 + Task: Hand 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/hand/dark/hrnetv2_w18_coco_wholebody_hand_256x256_dark-a9228c9c_20210908.pth diff --git a/configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/litehrnet_coco_wholebody_hand.yml b/configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/litehrnet_coco_wholebody_hand.yml new file mode 100644 index 0000000000..eeecbfe7e2 --- /dev/null +++ b/configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/litehrnet_coco_wholebody_hand.yml @@ -0,0 +1,16 @@ +Models: +- Config: configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/td-hm_litehrnet-w18_8xb32-210e_coco-wholebody-hand-256x256.py + In Collection: LiteHRNet + Metadata: + Architecture: + - LiteHRNet + Training Data: COCO-WholeBody-Hand + Name: td-hm_litehrnet-w18_8xb32-210e_coco-wholebody-hand-256x256 + Results: + - Dataset: COCO-WholeBody-Hand + Metrics: + AUC: 0.83 + EPE: 4.77 + PCK@0.2: 0.795 + Task: Hand 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/hand/litehrnet/litehrnet_w18_coco_wholebody_hand_256x256-d6945e6a_20210908.pth diff --git a/configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/mobilenetv2_coco_wholebody_hand.yml b/configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/mobilenetv2_coco_wholebody_hand.yml new file mode 100644 index 0000000000..a9d0101ce7 --- /dev/null +++ b/configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/mobilenetv2_coco_wholebody_hand.yml @@ -0,0 +1,17 @@ +Models: +- Config: configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/td-hm_mobilenetv2_8xb32-210e_coco-wholebody-hand-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: + - SimpleBaseline2D + - MobilenetV2 + Training Data: COCO-WholeBody-Hand + Name: td-hm_mobilenetv2_8xb32-210e_coco-wholebody-hand-256x256 + Results: + - Dataset: COCO-WholeBody-Hand + Metrics: + AUC: 0.829 + EPE: 4.77 + PCK@0.2: 0.795 + Task: Hand 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/hand/mobilenetv2/mobilenetv2_coco_wholebody_hand_256x256-06b8c877_20210909.pth diff --git a/configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/resnet_coco_wholebody_hand.yml b/configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/resnet_coco_wholebody_hand.yml new file mode 100644 index 0000000000..78d16a6e45 --- /dev/null +++ b/configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/resnet_coco_wholebody_hand.yml @@ -0,0 +1,17 @@ +Models: +- Config: configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/td-hm_res50_8xb32-210e_coco-wholebody-hand-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: + - SimpleBaseline2D + - ResNet + Training Data: COCO-WholeBody-Hand + Name: td-hm_res50_8xb32-210e_coco-wholebody-hand-256x256 + Results: + - Dataset: COCO-WholeBody-Hand + Metrics: + AUC: 0.833 + EPE: 4.64 + PCK@0.2: 0.8 + Task: Hand 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/hand/resnet/res50_coco_wholebody_hand_256x256-8dbc750c_20210908.pth diff --git a/configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/scnet_coco_wholebody_hand.yml b/configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/scnet_coco_wholebody_hand.yml new file mode 100644 index 0000000000..a8887b3c8e --- /dev/null +++ b/configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/scnet_coco_wholebody_hand.yml @@ -0,0 +1,16 @@ +Models: +- Config: configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/td-hm_scnet50_8xb32-210e_coco-wholebody-hand-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: + - SCNet + Training Data: COCO-WholeBody-Hand + Name: td-hm_scnet50_8xb32-210e_coco-wholebody-hand-256x256 + Results: + - Dataset: COCO-WholeBody-Hand + Metrics: + AUC: 0.834 + EPE: 4.55 + PCK@0.2: 0.803 + Task: Hand 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/hand/scnet/scnet50_coco_wholebody_hand_256x256-e73414c7_20210909.pth diff --git a/configs/hand_2d_keypoint/topdown_heatmap/freihand2d/resnet_freihand2d.yml b/configs/hand_2d_keypoint/topdown_heatmap/freihand2d/resnet_freihand2d.yml new file mode 100644 index 0000000000..9937b50be6 --- /dev/null +++ b/configs/hand_2d_keypoint/topdown_heatmap/freihand2d/resnet_freihand2d.yml @@ -0,0 +1,17 @@ +Models: +- Config: configs/hand_2d_keypoint/topdown_heatmap/freihand2d/td-hm_res50_8xb64-100e_freihand2d-224x224.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: + - SimpleBaseline2D + - ResNet + Training Data: FreiHand + Name: td-hm_res50_8xb64-100e_freihand2d-224x224 + Results: + - Dataset: FreiHand + Metrics: + AUC: 0.868 + EPE: 3.27 + PCK@0.2: 0.999 + Task: Hand 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/hand/resnet/res50_freihand_224x224-ff0799bc_20200914.pth diff --git a/configs/hand_2d_keypoint/topdown_heatmap/onehand10k/hrnetv2_dark_onehand10k.yml b/configs/hand_2d_keypoint/topdown_heatmap/onehand10k/hrnetv2_dark_onehand10k.yml new file mode 100644 index 0000000000..7fc64b75c7 --- /dev/null +++ b/configs/hand_2d_keypoint/topdown_heatmap/onehand10k/hrnetv2_dark_onehand10k.yml @@ -0,0 +1,17 @@ +Models: +- Config: configs/hand_2d_keypoint/topdown_heatmap/onehand10k/td-hm_hrnetv2-w18_dark-8xb64-210e_onehand10k-256x256.py + In Collection: DarkPose + Metadata: + Architecture: + - HRNetv2 + - DarkPose + Training Data: OneHand10K + Name: td-hm_hrnetv2-w18_dark-8xb64-210e_onehand10k-256x256 + Results: + - Dataset: OneHand10K + Metrics: + AUC: 0.572 + EPE: 23.96 + PCK@0.2: 0.99 + Task: Hand 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/hand/dark/hrnetv2_w18_onehand10k_256x256_dark-a2f80c64_20210330.pth diff --git a/configs/hand_2d_keypoint/topdown_heatmap/onehand10k/hrnetv2_onehand10k.yml b/configs/hand_2d_keypoint/topdown_heatmap/onehand10k/hrnetv2_onehand10k.yml new file mode 100644 index 0000000000..fd0c755876 --- /dev/null +++ b/configs/hand_2d_keypoint/topdown_heatmap/onehand10k/hrnetv2_onehand10k.yml @@ -0,0 +1,16 @@ +Models: +- Config: configs/hand_2d_keypoint/topdown_heatmap/onehand10k/td-hm_hrnetv2-w18_8xb64-210e_onehand10k-256x256.py + In Collection: HRNetv2 + Metadata: + Architecture: + - HRNetv2 + Training Data: OneHand10K + Name: td-hm_hrnetv2-w18_8xb64-210e_onehand10k-256x256 + Results: + - Dataset: OneHand10K + Metrics: + AUC: 0.567 + EPE: 24.26 + PCK@0.2: 0.99 + Task: Hand 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/hand/hrnetv2/hrnetv2_w18_onehand10k_256x256-30bc9c6b_20210330.pth diff --git a/configs/hand_2d_keypoint/topdown_heatmap/onehand10k/hrnetv2_udp_onehand10k.yml b/configs/hand_2d_keypoint/topdown_heatmap/onehand10k/hrnetv2_udp_onehand10k.yml new file mode 100644 index 0000000000..32d5dd6db5 --- /dev/null +++ b/configs/hand_2d_keypoint/topdown_heatmap/onehand10k/hrnetv2_udp_onehand10k.yml @@ -0,0 +1,17 @@ +Models: +- Config: configs/hand_2d_keypoint/topdown_heatmap/onehand10k/td-hm_hrnetv2-w18_udp-8xb64-210e_onehand10k-256x256.py + In Collection: UDP + Metadata: + Architecture: + - HRNetv2 + - UDP + Training Data: OneHand10K + Name: td-hm_hrnetv2-w18_udp-8xb64-210e_onehand10k-256x256 + Results: + - Dataset: OneHand10K + Metrics: + AUC: 0.571 + EPE: 23.88 + PCK@0.2: 0.99 + Task: Hand 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/hand/udp/hrnetv2_w18_onehand10k_256x256_udp-0d1b515d_20210330.pth diff --git a/configs/hand_2d_keypoint/topdown_heatmap/onehand10k/mobilenetv2_onehand10k.yml b/configs/hand_2d_keypoint/topdown_heatmap/onehand10k/mobilenetv2_onehand10k.yml new file mode 100644 index 0000000000..ade1f054f1 --- /dev/null +++ b/configs/hand_2d_keypoint/topdown_heatmap/onehand10k/mobilenetv2_onehand10k.yml @@ -0,0 +1,17 @@ +Models: +- Config: configs/hand_2d_keypoint/topdown_heatmap/onehand10k/td-hm_mobilenetv2_8xb64-210e_onehand10k-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: + - SimpleBaseline2D + - MobilenetV2 + Training Data: OneHand10K + Name: td-hm_mobilenetv2_8xb64-210e_onehand10k-256x256 + Results: + - Dataset: OneHand10K + Metrics: + AUC: 0.537 + EPE: 28.56 + PCK@0.2: 0.986 + Task: Hand 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/hand/mobilenetv2/mobilenetv2_onehand10k_256x256-f3a3d90e_20210330.pth diff --git a/configs/hand_2d_keypoint/topdown_heatmap/onehand10k/resnet_onehand10k.yml b/configs/hand_2d_keypoint/topdown_heatmap/onehand10k/resnet_onehand10k.yml index d9bf688aa5..e8dffc2a70 100644 --- a/configs/hand_2d_keypoint/topdown_heatmap/onehand10k/resnet_onehand10k.yml +++ b/configs/hand_2d_keypoint/topdown_heatmap/onehand10k/resnet_onehand10k.yml @@ -1,9 +1,3 @@ -Collections: -- Name: SimpleBaseline2D - Paper: - Title: Simple baselines for human pose estimation and tracking - URL: http://openaccess.thecvf.com/content_ECCV_2018/html/Bin_Xiao_Simple_Baselines_for_ECCV_2018_paper.html - README: https://github.com/open-mmlab/mmpose/blob/master/docs/en/papers/algorithms/simplebaseline2d.md Models: - Config: configs/hand_2d_keypoint/topdown_heatmap/onehand10k/td-hm_res50_8xb32-210e_onehand10k-256x256.py In Collection: SimpleBaseline2D diff --git a/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/hrnetv2_dark_rhd2d.yml b/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/hrnetv2_dark_rhd2d.yml new file mode 100644 index 0000000000..7400dc19e0 --- /dev/null +++ b/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/hrnetv2_dark_rhd2d.yml @@ -0,0 +1,17 @@ +Models: +- Config: configs/hand_2d_keypoint/topdown_heatmap/rhd2d/td-hm_hrnetv2-w18_dark-8xb64-210e_rhd2d-256x256.py + In Collection: DarkPose + Metadata: + Architecture: + - HRNetv2 + - DarkPose + Training Data: RHD + Name: td-hm_hrnetv2-w18_dark-8xb64-210e_rhd2d-256x256 + Results: + - Dataset: RHD + Metrics: + AUC: 0.903 + EPE: 2.18 + PCK@0.2: 0.992 + Task: Hand 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/hand/dark/hrnetv2_w18_rhd2d_256x256_dark-4df3a347_20210330.pth diff --git a/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/hrnetv2_rhd2d.yml b/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/hrnetv2_rhd2d.yml new file mode 100644 index 0000000000..f5292da770 --- /dev/null +++ b/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/hrnetv2_rhd2d.yml @@ -0,0 +1,16 @@ +Models: +- Config: configs/hand_2d_keypoint/topdown_heatmap/rhd2d/td-hm_hrnetv2-w18_8xb64-210e_rhd2d-256x256.py + In Collection: HRNetv2 + Metadata: + Architecture: + - HRNetv2 + Training Data: RHD + Name: td-hm_hrnetv2-w18_8xb64-210e_rhd2d-256x256 + Results: + - Dataset: RHD + Metrics: + AUC: 0.902 + EPE: 2.21 + PCK@0.2: 0.992 + Task: Hand 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/hand/hrnetv2/hrnetv2_w18_rhd2d_256x256-95b20dd8_20210330.pth diff --git a/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/hrnetv2_udp_rhd2d.md b/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/hrnetv2_udp_rhd2d.md index a7af1a55a5..c494eb8fc6 100644 --- a/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/hrnetv2_udp_rhd2d.md +++ b/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/hrnetv2_udp_rhd2d.md @@ -55,4 +55,4 @@ Results on RHD test set | Arch | Input Size | PCKh@0.7 | AUC | EPE | ckpt | log | | :--------------------------------------------------------- | :--------: | :------: | :---: | :--: | :--------------------------------------------------------: | :-------------------------------------------------------: | -| [pose_hrnetv2_w18_udp](/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/td-hm_hrnetv2-w18_udp-8xb64-210e_rhd2d-256x256.pyy) | 256x256 | 0.992 | 0.902 | 2.19 | [ckpt](https://download.openmmlab.com/mmpose/hand/udp/hrnetv2_w18_rhd2d_256x256_udp-63ba6007_20210330.pth) | [log](https://download.openmmlab.com/mmpose/hand/udp/hrnetv2_w18_rhd2d_256x256_udp_20210330.log.json) | +| [pose_hrnetv2_w18_udp](/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/td-hm_hrnetv2-w18_udp-8xb64-210e_rhd2d-256x256.py) | 256x256 | 0.992 | 0.902 | 2.19 | [ckpt](https://download.openmmlab.com/mmpose/hand/udp/hrnetv2_w18_rhd2d_256x256_udp-63ba6007_20210330.pth) | [log](https://download.openmmlab.com/mmpose/hand/udp/hrnetv2_w18_rhd2d_256x256_udp_20210330.log.json) | diff --git a/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/hrnetv2_udp_rhd2d.yml b/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/hrnetv2_udp_rhd2d.yml new file mode 100644 index 0000000000..db63b682e2 --- /dev/null +++ b/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/hrnetv2_udp_rhd2d.yml @@ -0,0 +1,17 @@ +Models: +- Config: configs/hand_2d_keypoint/topdown_heatmap/rhd2d/td-hm_hrnetv2-w18_udp-8xb64-210e_rhd2d-256x256.py + In Collection: UDP + Metadata: + Architecture: + - HRNetv2 + - UDP + Training Data: RHD + Name: td-hm_hrnetv2-w18_udp-8xb64-210e_rhd2d-256x256 + Results: + - Dataset: RHD + Metrics: + AUC: 0.902 + EPE: 2.19 + PCKh@0.7: 0.992 + Task: Hand 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/hand/udp/hrnetv2_w18_rhd2d_256x256_udp-63ba6007_20210330.pth diff --git a/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/mobilenetv2_rhd2d.yml b/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/mobilenetv2_rhd2d.yml new file mode 100644 index 0000000000..202a636fbe --- /dev/null +++ b/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/mobilenetv2_rhd2d.yml @@ -0,0 +1,17 @@ +Models: +- Config: configs/hand_2d_keypoint/topdown_heatmap/rhd2d/td-hm_mobilenetv2_8xb64-210e_rhd2d-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: + - SimpleBaseline2D + - MobilenetV2 + Training Data: RHD + Name: td-hm_mobilenetv2_8xb64-210e_rhd2d-256x256 + Results: + - Dataset: RHD + Metrics: + AUC: 0.883 + EPE: 2.79 + PCK@0.2: 0.985 + Task: Hand 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/hand/mobilenetv2/mobilenetv2_rhd2d_256x256-85fa02db_20210330.pth diff --git a/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/resnet_rhd2d.md b/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/resnet_rhd2d.md index 1df169deb1..f103a0df40 100644 --- a/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/resnet_rhd2d.md +++ b/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/resnet_rhd2d.md @@ -54,4 +54,4 @@ Results on RHD test set | Arch | Input Size | PCK@0.2 | AUC | EPE | ckpt | log | | :--------------------------------------------------------- | :--------: | :-----: | :---: | :--: | :--------------------------------------------------------: | :--------------------------------------------------------: | -| [pose_resnet50](dev2.0/mmpose/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/td-hm_res50_8xb64-210e_rhd2d-256x256.py) | 256x256 | 0.991 | 0.898 | 2.32 | [ckpt](https://download.openmmlab.com/mmpose/hand/resnet/res50_rhd2d_256x256-5dc7e4cc_20210330.pth) | [log](https://download.openmmlab.com/mmpose/hand/resnet/res50_rhd2d_256x256_20210330.log.json) | +| [pose_resnet50](/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/td-hm_res50_8xb64-210e_rhd2d-256x256.py) | 256x256 | 0.991 | 0.898 | 2.32 | [ckpt](https://download.openmmlab.com/mmpose/hand/resnet/res50_rhd2d_256x256-5dc7e4cc_20210330.pth) | [log](https://download.openmmlab.com/mmpose/hand/resnet/res50_rhd2d_256x256_20210330.log.json) | diff --git a/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/resnet_rhd2d.yml b/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/resnet_rhd2d.yml new file mode 100644 index 0000000000..d09f8ba268 --- /dev/null +++ b/configs/hand_2d_keypoint/topdown_heatmap/rhd2d/resnet_rhd2d.yml @@ -0,0 +1,17 @@ +Models: +- Config: configs/hand_2d_keypoint/topdown_heatmap/rhd2d/td-hm_res50_8xb64-210e_rhd2d-256x256.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: + - SimpleBaseline2D + - ResNet + Training Data: RHD + Name: td-hm_res50_8xb64-210e_rhd2d-256x256 + Results: + - Dataset: RHD + Metrics: + AUC: 0.898 + EPE: 2.32 + PCK@0.2: 0.991 + Task: Hand 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/hand/resnet/res50_rhd2d_256x256-5dc7e4cc_20210330.pth diff --git a/configs/hand_2d_keypoint/topdown_regression/onehand10k/resnet_onehand10k.yml b/configs/hand_2d_keypoint/topdown_regression/onehand10k/resnet_onehand10k.yml new file mode 100644 index 0000000000..d5e9d8122e --- /dev/null +++ b/configs/hand_2d_keypoint/topdown_regression/onehand10k/resnet_onehand10k.yml @@ -0,0 +1,17 @@ +Models: +- Config: configs/hand_2d_keypoint/topdown_regression/onehand10k/td-reg_res50_8xb64-210e_onehand10k-256x256.py + In Collection: DeepPose + Metadata: + Architecture: + - DeepPose + - ResNet + Training Data: OneHand10K + Name: td-reg_res50_8xb64-210e_onehand10k-256x256 + Results: + - Dataset: OneHand10K + Metrics: + AUC: 0.485 + EPE: 34.21 + PCK@0.2: 0.99 + Task: Hand 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/hand/deeppose/deeppose_res50_onehand10k_256x256-cbddf43a_20210330.pth diff --git a/configs/hand_2d_keypoint/topdown_regression/rhd2d/resnet_rhd2d.yml b/configs/hand_2d_keypoint/topdown_regression/rhd2d/resnet_rhd2d.yml new file mode 100644 index 0000000000..3d0a920c5d --- /dev/null +++ b/configs/hand_2d_keypoint/topdown_regression/rhd2d/resnet_rhd2d.yml @@ -0,0 +1,17 @@ +Models: +- Config: configs/hand_2d_keypoint/topdown_regression/rhd2d/td-reg_res50_8xb64-210e_rhd2d-256x256.py + In Collection: DeepPose + Metadata: + Architecture: + - DeepPose + - ResNet + Training Data: RHD + Name: td-reg_res50_8xb64-210e_rhd2d-256x256 + Results: + - Dataset: RHD + Metrics: + AUC: 0.865 + EPE: 3.32 + PCK@0.2: 0.988 + Task: Hand 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/hand/deeppose/deeppose_res50_rhd2d_256x256-37f1c4d3_20210330.pth diff --git a/configs/wholebody_2d_keypoint/rtmpose/coco-wholebody/rtmpose_coco-wholebody.yml b/configs/wholebody_2d_keypoint/rtmpose/coco-wholebody/rtmpose_coco-wholebody.yml new file mode 100644 index 0000000000..fb08ff93e7 --- /dev/null +++ b/configs/wholebody_2d_keypoint/rtmpose/coco-wholebody/rtmpose_coco-wholebody.yml @@ -0,0 +1,65 @@ +Models: +- Config: configs/wholebody_2d_keypoint/rtmpose/coco-wholebody/rtmpose-m_8xb64-270e_coco-wholebody-256x192.py + In Collection: RTMPose + Metadata: + Architecture: &id001 + - HRNet + Training Data: COCO-WholeBody + Name: rtmpose-m_8xb64-270e_coco-wholebody-256x192 + Results: + - Dataset: COCO-WholeBody + Metrics: + Body AP: 0.697 + Body AR: 0.743 + Face AP: 0.822 + Face AR: 0.858 + Foot AP: 0.66 + Foot AR: 0.749 + Hand AP: 0.483 + Hand AR: 0.564 + Whole AP: 0.604 + Whole AR: 0.667 + Task: Wholebody 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-coco-wholebody_pt-aic-coco_270e-256x192-cd5e845c_20230123.pth +- Config: configs/wholebody_2d_keypoint/rtmpose/coco-wholebody/rtmpose-l_8xb64-270e_coco-wholebody-256x192.py + In Collection: RTMPose + Metadata: + Architecture: *id001 + Training Data: COCO-WholeBody + Name: rtmpose-l_8xb64-270e_coco-wholebody-256x192 + Results: + - Dataset: COCO-WholeBody + Metrics: + Body AP: 0.721 + Body AR: 0.764 + Face AP: 0.844 + Face AR: 0.876 + Foot AP: 0.693 + Foot AR: 0.78 + Hand AP: 0.523 + Hand AR: 0.6 + Whole AP: 0.632 + Whole AR: 0.694 + Task: Wholebody 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco-wholebody_pt-aic-coco_270e-256x192-6f206314_20230124.pth +- Config: configs/wholebody_2d_keypoint/rtmpose/coco-wholebody/rtmpose-l_8xb32-270e_coco-wholebody-384x288.py + In Collection: RTMPose + Metadata: + Architecture: *id001 + Training Data: COCO-WholeBody + Name: rtmpose-l_8xb32-270e_coco-wholebody-384x288.py + Results: + - Dataset: COCO-WholeBody + Metrics: + Body AP: 0.736 + Body AR: 0.776 + Face AP: 0.895 + Face AR: 0.918 + Foot AP: 0.738 + Foot AR: 0.81 + Hand AP: 0.591 + Hand AR: 0.659 + Whole AP: 0.67 + Whole AR: 0.723 + Task: Wholebody 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco-wholebody_pt-aic-coco_270e-384x288-eaeb96c8_20230125.pth diff --git a/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/cspnext_udp_coco-wholebody.md b/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/cspnext_udp_coco-wholebody.md index 0626738880..3ada8a0c96 100644 --- a/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/cspnext_udp_coco-wholebody.md +++ b/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/cspnext_udp_coco-wholebody.md @@ -53,4 +53,4 @@ Results on COCO-WholeBody v1.0 val with detector having human AP of 56.4 on COCO | Arch | Input Size | Body AP | Body AR | Foot AP | Foot AR | Face AP | Face AR | Hand AP | Hand AR | Whole AP | Whole AR | ckpt | log | | :-------------------------------------- | :--------: | :-----: | :-----: | :-----: | :-----: | :-----: | :-----: | :-----: | :-----: | :------: | :------: | :--------------------------------------: | :-------------------------------------: | -| [pose_cspnext_m_udp](/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/td-hm_hrnet-w32_dark-8xb64-210e_coco-wholebody-256x192.py) | 256x192 | 0.687 | 0.735 | 0.680 | 0.763 | 0.697 | 0.755 | 0.460 | 0.543 | 0.567 | 0.641 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_udp-coco-wholebody_pt-in1k_210e-256x192-320fa258_20230123.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_udp-coco-wholebody_pt-in1k_210e-256x192-320fa258_20230123.json) | +| [pose_cspnext_m_udp](/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/cspnext-m_udp_8xb64-210e_coco-wholebody-256x192.py) | 256x192 | 0.687 | 0.735 | 0.680 | 0.763 | 0.697 | 0.755 | 0.460 | 0.543 | 0.567 | 0.641 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_udp-coco-wholebody_pt-in1k_210e-256x192-320fa258_20230123.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_udp-coco-wholebody_pt-in1k_210e-256x192-320fa258_20230123.json) | diff --git a/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/cspnext_udp_coco-wholebody.yml b/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/cspnext_udp_coco-wholebody.yml new file mode 100644 index 0000000000..d12b989dad --- /dev/null +++ b/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/cspnext_udp_coco-wholebody.yml @@ -0,0 +1,24 @@ +Models: +- Config: configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/cspnext-m_udp_8xb64-210e_coco-wholebody-256x192.py + In Collection: UDP + Metadata: + Architecture: &id001 + - UDP + - CSPNeXt + Training Data: COCO-WholeBody + Name: cspnext-m_udp_8xb64-210e_coco-wholebody-256x192 + Results: + - Dataset: COCO-WholeBody + Metrics: + Body AP: 0.687 + Body AR: 0.735 + Face AP: 0.697 + Face AR: 0.755 + Foot AP: 0.680 + Foot AR: 0.763 + Hand AP: 0.46 + Hand AR: 0.567 + Whole AP: 0.567 + Whole AR: 0.641 + Task: Wholebody 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_udp-coco-wholebody_pt-in1k_210e-256x192-320fa258_20230123.pth diff --git a/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/hrnet_coco-wholebody.yml b/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/hrnet_coco-wholebody.yml new file mode 100644 index 0000000000..929bd05356 --- /dev/null +++ b/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/hrnet_coco-wholebody.yml @@ -0,0 +1,86 @@ +Models: +- Config: configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/td-hm_hrnet-w32_8xb64-210e_coco-wholebody-256x192.py + In Collection: HRNet + Metadata: + Architecture: &id001 + - HRNet + Training Data: COCO-WholeBody + Name: td-hm_hrnet-w32_8xb64-210e_coco-wholebody-256x192 + Results: + - Dataset: COCO-WholeBody + Metrics: + Body AP: 0.678 + Body AR: 0.755 + Face AP: 0.630 + Face AR: 0.708 + Foot AP: 0.543 + Foot AR: 0.661 + Hand AP: 0.467 + Hand AR: 0.566 + Whole AP: 0.536 + Whole AR: 0.636 + Task: Wholebody 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w32_coco_wholebody_256x192-853765cd_20200918.pth +- Config: configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/td-hm_hrnet-w32_8xb64-210e_coco-wholebody-384x288.py + In Collection: HRNet + Metadata: + Architecture: *id001 + Training Data: COCO-WholeBody + Name: td-hm_hrnet-w32_8xb64-210e_coco-wholebody-384x288 + Results: + - Dataset: COCO-WholeBody + Metrics: + Body AP: 0.700 + Body AR: 0.772 + Face AP: 0.726 + Face AR: 0.783 + Foot AP: 0.585 + Foot AR: 0.691 + Hand AP: 0.515 + Hand AR: 0.603 + Whole AP: 0.586 + Whole AR: 0.673 + Task: Wholebody 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w32_coco_wholebody_384x288-78cacac3_20200922.pth +- Config: configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/td-hm_hrnet-w48_8xb32-210e_coco-wholebody-256x192.py + In Collection: HRNet + Metadata: + Architecture: *id001 + Training Data: COCO-WholeBody + Name: td-hm_hrnet-w48_8xb32-210e_coco-wholebody-256x192 + Results: + - Dataset: COCO-WholeBody + Metrics: + Body AP: 0.701 + Body AR: 0.776 + Face AP: 0.656 + Face AR: 0.743 + Foot AP: 0.675 + Foot AR: 0.787 + Hand AP: 0.535 + Hand AR: 0.639 + Whole AP: 0.579 + Whole AR: 0.681 + Task: Wholebody 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w48_coco_wholebody_256x192-643e18cb_20200922.pth +- Config: configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/td-hm_hrnet-w48_8xb32-210e_coco-wholebody-384x288.py + In Collection: HRNet + Metadata: + Architecture: *id001 + Training Data: COCO-WholeBody + Name: td-hm_hrnet-w48_8xb32-210e_coco-wholebody-384x288 + Results: + - Dataset: COCO-WholeBody + Metrics: + Body AP: 0.722 + Body AR: 0.791 + Face AP: 0.776 + Face AR: 0.834 + Foot AP: 0.696 + Foot AR: 0.801 + Hand AP: 0.587 + Hand AR: 0.678 + Whole AP: 0.632 + Whole AR: 0.717 + Task: Wholebody 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w48_coco_wholebody_384x288-6e061c6a_20200922.pth diff --git a/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/hrnet_dark_coco-wholebody.yml b/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/hrnet_dark_coco-wholebody.yml new file mode 100644 index 0000000000..d0e2bd6954 --- /dev/null +++ b/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/hrnet_dark_coco-wholebody.yml @@ -0,0 +1,45 @@ +Models: +- Config: configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/td-hm_hrnet-w32_dark-8xb64-210e_coco-wholebody-256x192.py + In Collection: DarkPose + Metadata: + Architecture: &id001 + - HRNet + - DarkPose + Training Data: COCO-WholeBody + Name: td-hm_hrnet-w32_dark-8xb64-210e_coco-wholebody-256x192 + Results: + - Dataset: COCO-WholeBody + Metrics: + Body AP: 0.693 + Body AR: 0.764 + Face AP: 0.737 + Face AR: 0.809 + Foot AP: 0.564 + Foot AR: 0.674 + Hand AP: 0.503 + Hand AR: 0.602 + Whole AP: 0.582 + Whole AR: 0.671 + Task: Wholebody 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w32_coco_wholebody_256x192_dark-469327ef_20200922.pth +- Config: configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/td-hm_hrnet-w48_dark-8xb32-210e_coco-wholebody-384x288.py + In Collection: DarkPose + Metadata: + Architecture: *id001 + Training Data: COCO-WholeBody + Name: td-hm_hrnet-w48_dark-8xb32-210e_coco-wholebody-384x288 + Results: + - Dataset: COCO-WholeBody + Metrics: + Body AP: 0.742 + Body AR: 0.807 + Face AP: 0.841 + Face AR: 0.892 + Foot AP: 0.707 + Foot AR: 0.806 + Hand AP: 0.602 + Hand AR: 0.694 + Whole AP: 0.661 + Whole AR: 0.743 + Task: Wholebody 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w48_coco_wholebody_384x288_dark-f5726563_20200918.pth diff --git a/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/resnet_coco-wholebody.yml b/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/resnet_coco-wholebody.yml new file mode 100644 index 0000000000..0e8db24f6a --- /dev/null +++ b/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/resnet_coco-wholebody.yml @@ -0,0 +1,128 @@ +Models: +- Config: configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/td-hm_res50_8xb64-210e_coco-wholebody-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: &id001 + - SimpleBaseline2D + Training Data: COCO-WholeBody + Name: td-hm_res50_8xb64-210e_coco-wholebody-256x192 + Results: + - Dataset: COCO-WholeBody + Metrics: + Body AP: 0.652 + Body AR: 0.738 + Face AP: 0.606 + Face AR: 0.715 + Foot AP: 0.615 + Foot AR: 0.749 + Hand AP: 0.46 + Hand AR: 0.584 + Whole AP: 0.521 + Whole AR: 0.633 + Task: Wholebody 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res50_coco_wholebody_256x192-9e37ed88_20201004.pth +- Config: configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/td-hm_res50_8xb64-210e_coco-wholebody-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO-WholeBody + Name: td-hm_res50_8xb64-210e_coco-wholebody-384x288 + Results: + - Dataset: COCO-WholeBody + Metrics: + Body AP: 0.666 + Body AR: 0.747 + Face AP: 0.731 + Face AR: 0.811 + Foot AP: 0.634 + Foot AR: 0.763 + Hand AP: 0.536 + Hand AR: 0.646 + Whole AP: 0.574 + Whole AR: 0.67 + Task: Wholebody 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res50_coco_wholebody_384x288-ce11e294_20201004.pth +- Config: configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/td-hm_res101_8xb32-210e_coco-wholebody-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO-WholeBody + Name: td-hm_res101_8xb32-210e_coco-wholebody-256x192 + Results: + - Dataset: COCO-WholeBody + Metrics: + Body AP: 0.669 + Body AR: 0.753 + Face AP: 0.611 + Face AR: 0.722 + Foot AP: 0.637 + Foot AR: 0.766 + Hand AP: 0.463 + Hand AR: 0.589 + Whole AP: 0.531 + Whole AR: 0.645 + Task: Wholebody 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res101_coco_wholebody_256x192-7325f982_20201004.pth +- Config: configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/td-hm_res101_8xb32-210e_coco-wholebody-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO-WholeBody + Name: td-hm_res101_8xb32-210e_coco-wholebody-384x288 + Results: + - Dataset: COCO-WholeBody + Metrics: + Body AP: 0.692 + Body AR: 0.77 + Face AP: 0.746 + Face AR: 0.82 + Foot AP: 0.68 + Foot AR: 0.799 + Hand AP: 0.548 + Hand AR: 0.657 + Whole AP: 0.598 + Whole AR: 0.691 + Task: Wholebody 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res101_coco_wholebody_384x288-6c137b9a_20201004.pth +- Config: configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/td-hm_res152_8xb32-210e_coco-wholebody-256x192.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO-WholeBody + Name: td-hm_res152_8xb32-210e_coco-wholebody-256x192 + Results: + - Dataset: COCO-WholeBody + Metrics: + Body AP: 0.682 + Body AR: 0.764 + Face AP: 0.623 + Face AR: 0.728 + Foot AP: 0.661 + Foot AR: 0.787 + Hand AP: 0.481 + Hand AR: 0.607 + Whole AP: 0.548 + Whole AR: 0.661 + Task: Wholebody 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res152_coco_wholebody_256x192-5de8ae23_20201004.pth +- Config: configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/td-hm_res152_8xb32-210e_coco-wholebody-384x288.py + In Collection: SimpleBaseline2D + Metadata: + Architecture: *id001 + Training Data: COCO-WholeBody + Name: td-hm_res152_8xb32-210e_coco-wholebody-384x288 + Results: + - Dataset: COCO-WholeBody + Metrics: + Body AP: 0.704 + Body AR: 0.78 + Face AP: 0.751 + Face AR: 0.824 + Foot AP: 0.693 + Foot AR: 0.813 + Hand AP: 0.559 + Hand AR: 0.666 + Whole AP: 0.61 + Whole AR: 0.705 + Task: Wholebody 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/resnet/res152_coco_wholebody_384x288-eab8caa8_20201004.pth diff --git a/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/vipnas_coco-wholebody.yml b/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/vipnas_coco-wholebody.yml new file mode 100644 index 0000000000..2814836407 --- /dev/null +++ b/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/vipnas_coco-wholebody.yml @@ -0,0 +1,44 @@ +Models: +- Config: configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/td-hm_vipnas-mbv3_8xb64-210e_coco-wholebody-256x192.py + In Collection: ViPNAS + Metadata: + Architecture: &id001 + - ViPNAS + Training Data: COCO-WholeBody + Name: td-hm_vipnas-mbv3_8xb64-210e_coco-wholebody-256x192 + Results: + - Dataset: COCO-WholeBody + Metrics: + Body AP: 0.619 + Body AR: 0.7 + Face AP: 0.585 + Face AR: 0.689 + Foot AP: 0.477 + Foot AR: 0.608 + Hand AP: 0.386 + Hand AR: 0.505 + Whole AP: 0.473 + Whole AR: 0.578 + Task: Wholebody 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/vipnas/vipnas_mbv3_coco_wholebody_256x192-0fee581a_20211205.pth +- Config: configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/td-hm_vipnas-res50_8xb64-210e_coco-wholebody-256x192.py + In Collection: ViPNAS + Metadata: + Architecture: *id001 + Training Data: COCO-WholeBody + Name: td-hm_vipnas-res50_8xb64-210e_coco-wholebody-256x192 + Results: + - Dataset: COCO-WholeBody + Metrics: + Body AP: 0.643 + Body AR: 0.726 + Face AP: 0.587 + Face AR: 0.698 + Foot AP: 0.553 + Foot AR: 0.694 + Hand AP: 0.41 + Hand AR: 0.529 + Whole AP: 0.495 + Whole AR: 0.607 + Task: Wholebody 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/vipnas/vipnas_res50_wholebody_256x192-49e1c3a4_20211112.pth diff --git a/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/vipnas_dark_coco-wholebody.yml b/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/vipnas_dark_coco-wholebody.yml new file mode 100644 index 0000000000..5449af0ccd --- /dev/null +++ b/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/vipnas_dark_coco-wholebody.yml @@ -0,0 +1,45 @@ +Models: +- Config: configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/td-hm_vipnas-mbv3_dark-8xb64-210e_coco-wholebody-256x192.py + In Collection: ViPNAS + Metadata: + Architecture: &id001 + - ViPNAS + - DarkPose + Training Data: COCO-WholeBody + Name: td-hm_vipnas-mbv3_dark-8xb64-210e_coco-wholebody-256x192 + Results: + - Dataset: COCO-WholeBody + Metrics: + Body AP: 0.632 + Body AR: 0.71 + Face AP: 0.672 + Face AR: 0.771 + Foot AP: 0.53 + Foot AR: 0.66 + Hand AP: 0.404 + Hand AR: 0.519 + Whole AP: 0.508 + Whole AR: 0.607 + Task: Wholebody 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/vipnas/vipnas_mbv3_coco_wholebody_256x192_dark-e2158108_20211205.pth +- Config: configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/td-hm_vipnas-res50_dark-8xb64-210e_coco-wholebody-256x192.py + In Collection: ViPNAS + Metadata: + Architecture: *id001 + Training Data: COCO-WholeBody + Name: td-hm_vipnas-res50_dark-8xb64-210e_coco-wholebody-256x192 + Results: + - Dataset: COCO-WholeBody + Metrics: + Body AP: 0.65 + Body AR: 0.732 + Face AP: 0.684 + Face AR: 0.783 + Foot AP: 0.55 + Foot AR: 0.686 + Hand AP: 0.437 + Hand AR: 0.554 + Whole AP: 0.528 + Whole AR: 0.632 + Task: Wholebody 2D Keypoint + Weights: https://download.openmmlab.com/mmpose/top_down/vipnas/vipnas_res50_wholebody_256x192_dark-67c0ce35_20211112.pth diff --git a/model-index.yml b/model-index.yml index 549177c999..d5cb0e28d4 100644 --- a/model-index.yml +++ b/model-index.yml @@ -1,12 +1,119 @@ Import: +- configs/animal_2d_keypoint/rtmpose/ap10k/rtmpose_ap10k.yml +- configs/animal_2d_keypoint/topdown_heatmap/animalpose/hrnet_animalpose.yml +- configs/animal_2d_keypoint/topdown_heatmap/animalpose/resnet_animalpose.yml +- configs/animal_2d_keypoint/topdown_heatmap/ap10k/resnet_ap10k.yml +- configs/animal_2d_keypoint/topdown_heatmap/ap10k/hrnet_ap10k.yml +- configs/animal_2d_keypoint/topdown_heatmap/ap10k/cspnext_udp_ap10k.yml +- configs/animal_2d_keypoint/topdown_heatmap/locust/resnet_locust.yml +- configs/animal_2d_keypoint/topdown_heatmap/zebra/resnet_zebra.yml +- configs/body_2d_keypoint/cid/coco/hrnet_coco.yml +- configs/body_2d_keypoint/dekr/coco/hrnet_coco.yml +- configs/body_2d_keypoint/dekr/crowdpose/hrnet_crowdpose.yml +- configs/body_2d_keypoint/integral_regression/coco/resnet_ipr_coco.yml +- configs/body_2d_keypoint/integral_regression/coco/resnet_dsnt_coco.yml +- configs/body_2d_keypoint/integral_regression/coco/resnet_debias_coco.yml +- configs/body_2d_keypoint/rtmpose/coco/rtmpose_coco.yml +- configs/body_2d_keypoint/rtmpose/crowdpose/rtmpose_crowdpose.yml +- configs/body_2d_keypoint/rtmpose/mpii/rtmpose_mpii.yml +- configs/body_2d_keypoint/simcc/coco/mobilenetv2_coco.yml +- configs/body_2d_keypoint/simcc/coco/resnet_coco.yml +- configs/body_2d_keypoint/simcc/coco/vipnas_coco.yml +- configs/body_2d_keypoint/topdown_heatmap/aic/hrnet_aic.yml +- configs/body_2d_keypoint/topdown_heatmap/aic/resnet_aic.yml +- configs/body_2d_keypoint/topdown_heatmap/coco/hourglass_coco.yml - configs/body_2d_keypoint/topdown_heatmap/coco/hrnet_coco.yml - configs/body_2d_keypoint/topdown_heatmap/coco/litehrnet_coco.yml - configs/body_2d_keypoint/topdown_heatmap/coco/mspn_coco.yml -- configs/body_2d_keypoint/topdown_heatmap/coco/hourglass_coco.yml - configs/body_2d_keypoint/topdown_heatmap/coco/vitpose_coco.yml -- configs/body_2d_keypoint/simcc/coco/resnet_coco.yml -- configs/body_2d_keypoint/simcc/coco/mobilenetv2_coco.yml -- configs/body_2d_keypoint/simcc/coco/vipnas_coco.yml -- configs/animal_2d_keypoint/topdown_heatmap/ap10k/resnet_ap10k.yml +- configs/body_2d_keypoint/topdown_heatmap/coco/alexnet_coco.yml +- configs/body_2d_keypoint/topdown_heatmap/coco/resnet_coco.yml +- configs/body_2d_keypoint/topdown_heatmap/coco/cpm_coco.yml +- configs/body_2d_keypoint/topdown_heatmap/coco/hrformer_coco.yml +- configs/body_2d_keypoint/topdown_heatmap/coco/hrnet_augmentation_coco.yml +- configs/body_2d_keypoint/topdown_heatmap/coco/hrnet_dark_coco.yml +- configs/body_2d_keypoint/topdown_heatmap/coco/hrnet_udp_coco.yml +- configs/body_2d_keypoint/topdown_heatmap/coco/mobilenetv2_coco.yml +- configs/body_2d_keypoint/topdown_heatmap/coco/pvt_coco.yml +- configs/body_2d_keypoint/topdown_heatmap/coco/resnest_coco.yml +- configs/body_2d_keypoint/topdown_heatmap/coco/resnet_dark_coco.yml +- configs/body_2d_keypoint/topdown_heatmap/coco/cspnext_udp_coco.yml +- configs/body_2d_keypoint/topdown_heatmap/coco/resnetv1d_coco.yml +- configs/body_2d_keypoint/topdown_heatmap/coco/resnext_coco.yml +- configs/body_2d_keypoint/topdown_heatmap/coco/rsn_coco.yml +- configs/body_2d_keypoint/topdown_heatmap/coco/scnet_coco.yml +- configs/body_2d_keypoint/topdown_heatmap/coco/seresnet_coco.yml +- configs/body_2d_keypoint/topdown_heatmap/coco/shufflenetv1_coco.yml +- configs/body_2d_keypoint/topdown_heatmap/coco/shufflenetv2_coco.yml +- configs/body_2d_keypoint/topdown_heatmap/coco/swin_coco.yml +- configs/body_2d_keypoint/topdown_heatmap/coco/vgg_coco.yml +- configs/body_2d_keypoint/topdown_heatmap/coco/vipnas_coco.yml +- configs/body_2d_keypoint/topdown_heatmap/crowdpose/hrnet_crowdpose.yml +- configs/body_2d_keypoint/topdown_heatmap/crowdpose/resnet_crowdpose.yml +- configs/body_2d_keypoint/topdown_heatmap/crowdpose/cspnext_udp_crowdpose.yml +- configs/body_2d_keypoint/topdown_heatmap/jhmdb/cpm_jhmdb.yml +- configs/body_2d_keypoint/topdown_heatmap/jhmdb/resnet_jhmdb.yml +- configs/body_2d_keypoint/topdown_heatmap/mpii/cpm_mpii.yml +- configs/body_2d_keypoint/topdown_heatmap/mpii/hourglass_mpii.yml +- configs/body_2d_keypoint/topdown_heatmap/mpii/cspnext_udp_mpii.yml +- configs/body_2d_keypoint/topdown_heatmap/mpii/hrnet_dark_mpii.yml +- configs/body_2d_keypoint/topdown_heatmap/mpii/hrnet_mpii.yml +- configs/body_2d_keypoint/topdown_heatmap/mpii/litehrnet_mpii.yml +- configs/body_2d_keypoint/topdown_heatmap/mpii/mobilenetv2_mpii.yml +- configs/body_2d_keypoint/topdown_heatmap/mpii/resnet_mpii.yml +- configs/body_2d_keypoint/topdown_heatmap/mpii/resnetv1d_mpii.yml +- configs/body_2d_keypoint/topdown_heatmap/mpii/resnext_mpii.yml +- configs/body_2d_keypoint/topdown_heatmap/mpii/scnet_mpii.yml +- configs/body_2d_keypoint/topdown_heatmap/mpii/seresnet_mpii.yml +- configs/body_2d_keypoint/topdown_heatmap/mpii/shufflenetv1_mpii.yml +- configs/body_2d_keypoint/topdown_heatmap/mpii/shufflenetv2_mpii.yml +- configs/body_2d_keypoint/topdown_heatmap/posetrack18/hrnet_posetrack18.yml +- configs/body_2d_keypoint/topdown_heatmap/posetrack18/resnet_posetrack18.yml +- configs/body_2d_keypoint/topdown_regression/coco/resnet_coco.yml +- configs/body_2d_keypoint/topdown_regression/coco/resnet_rle_coco.yml +- configs/body_2d_keypoint/topdown_regression/coco/mobilenetv2_rle_coco.yml +- configs/body_2d_keypoint/topdown_regression/mpii/resnet_mpii.yml +- configs/body_2d_keypoint/topdown_regression/mpii/resnet_rle_mpii.yml +- configs/face_2d_keypoint/rtmpose/coco_wholebody_face/rtmpose_coco_wholebody_face.yml +- configs/face_2d_keypoint/rtmpose/wflw/rtmpose_wflw.yml +- configs/face_2d_keypoint/topdown_heatmap/300w/hrnetv2_300w.yml +- configs/face_2d_keypoint/topdown_heatmap/aflw/hrnetv2_aflw.yml +- configs/face_2d_keypoint/topdown_heatmap/aflw/hrnetv2_dark_aflw.yml +- configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/hourglass_coco_wholebody_face.yml +- configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/hrnetv2_coco_wholebody_face.yml +- configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/hrnetv2_dark_coco_wholebody_face.yml +- configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/mobilenetv2_coco_wholebody_face.yml +- configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/resnet_coco_wholebody_face.yml +- configs/face_2d_keypoint/topdown_heatmap/coco_wholebody_face/scnet_coco_wholebody_face.yml +- configs/face_2d_keypoint/topdown_heatmap/cofw/hrnetv2_cofw.yml - configs/face_2d_keypoint/topdown_heatmap/wflw/hrnetv2_wflw.yml +- configs/face_2d_keypoint/topdown_heatmap/wflw/hrnetv2_dark_wflw.yml +- configs/face_2d_keypoint/topdown_heatmap/wflw/hrnetv2_awing_wflw.yml +- configs/hand_2d_keypoint/rtmpose/coco_wholebody_hand/rtmpose_coco_wholebody_hand.yml +- configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/hourglass_coco_wholebody_hand.yml +- configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/hrnetv2_coco_wholebody_hand.yml +- configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/hrnetv2_dark_coco_wholebody_hand.yml +- configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/litehrnet_coco_wholebody_hand.yml +- configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/mobilenetv2_coco_wholebody_hand.yml +- configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/resnet_coco_wholebody_hand.yml +- configs/hand_2d_keypoint/topdown_heatmap/coco_wholebody_hand/scnet_coco_wholebody_hand.yml +- configs/hand_2d_keypoint/topdown_heatmap/freihand2d/resnet_freihand2d.yml - configs/hand_2d_keypoint/topdown_heatmap/onehand10k/resnet_onehand10k.yml +- configs/hand_2d_keypoint/topdown_heatmap/onehand10k/hrnetv2_dark_onehand10k.yml +- configs/hand_2d_keypoint/topdown_heatmap/onehand10k/hrnetv2_onehand10k.yml +- configs/hand_2d_keypoint/topdown_heatmap/onehand10k/hrnetv2_udp_onehand10k.yml +- configs/hand_2d_keypoint/topdown_heatmap/onehand10k/mobilenetv2_onehand10k.yml +- configs/hand_2d_keypoint/topdown_heatmap/rhd2d/hrnetv2_dark_rhd2d.yml +- configs/hand_2d_keypoint/topdown_heatmap/rhd2d/hrnetv2_rhd2d.yml +- configs/hand_2d_keypoint/topdown_heatmap/rhd2d/hrnetv2_udp_rhd2d.yml +- configs/hand_2d_keypoint/topdown_heatmap/rhd2d/mobilenetv2_rhd2d.yml +- configs/hand_2d_keypoint/topdown_heatmap/rhd2d/resnet_rhd2d.yml +- configs/hand_2d_keypoint/topdown_regression/onehand10k/resnet_onehand10k.yml +- configs/hand_2d_keypoint/topdown_regression/rhd2d/resnet_rhd2d.yml +- configs/wholebody_2d_keypoint/rtmpose/coco-wholebody/rtmpose_coco-wholebody.yml +- configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/hrnet_coco-wholebody.yml +- configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/hrnet_dark_coco-wholebody.yml +- configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/resnet_coco-wholebody.yml +- configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/vipnas_coco-wholebody.yml +- configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/vipnas_dark_coco-wholebody.yml +- configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/cspnext_udp_coco-wholebody.yml