Lovasz loss #1036
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I printed some information |
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Hi, I run into the same problem. Any update? |
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@lmunan As for binary segmentation, |
wjkim81
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Dec 3, 2023
* map location to cpu when load checkpoint (open-mmlab#1007) * [Enhancement] Support minus output feature index in mobilenet_v3 (open-mmlab#1005) * fix typo in mobilenet_v3 * fix typo in mobilenet_v3 * use -1 to indicate output tensors from final stage * support negative out_indices * [Enhancement] inference speed and flops tools. (open-mmlab#986) * add the function to test the dummy forward speed of models. * add tools to test the flops and inference speed of multiple models. * [Fix] Update pose tracking demo to be compatible with latest mmtrakcing (open-mmlab#1014) * update mmtracking demo * support both track_bboxes and track_results * add docstring * [Fix] fix skeleton_info of coco wholebody dataset (open-mmlab#1010) * fix wholebody base dataset * fix lint * fix lint Co-authored-by: ly015 <liyining0712@gmail.com> * [Feature] Add ViPNAS models for wholebody keypoint detection (open-mmlab#1009) * add configs * add dark configs * add checkpoint and readme * update webcam demo * fix model path in webcam demo * fix unittest * [Fix] Fix bbox label visualization (open-mmlab#1020) * update model metafiles (open-mmlab#1001) * update hourglass ae .md (open-mmlab#1027) * [Feature] Add ViPNAS mbv3 (open-mmlab#1025) * add vipnas mbv3 * test other variants * submission for mmpose * add unittest * add readme * update .yml * fix lint * rebase * fix pytest Co-authored-by: jin-s13 <jinsheng13@foxmail.com> * [Enhancement] Set a random seed when the user does not set a seed (open-mmlab#1030) * fix randseed * fix lint * fix import * fix isort * update yapf hook * revert yapf version * add cfg file for flops and speed test, change the bulid_posenet to init_pose_model and fix some typo in cfg (open-mmlab#1028) * [Enhancement] Add more functions for speed test tool (open-mmlab#1034) * add batch size and device args in speed test script, and remove MMDataParallel warper * add vipnas_mbv3 model * fix dead link (open-mmlab#1038) * Skip CI when some specific files were changed (open-mmlab#1041) * update sigmas (open-mmlab#1040) * add more configs, ckpts and logs for HRNet on PoseTrack18 (open-mmlab#1035) * [Feature] Add PoseWarper dataset (open-mmlab#1006) * add PoseWarper dataset and base class * modify pipelines related to video * add unittest for PoseWarper dataset * add unittest for evaluation function in posetrack18-realted dataset, and add some annotations json files * fix typo * fix unittest CI failure * fix typo * add PoseWarper dataset and base class * modify pipelines related to video * add unittest for PoseWarper dataset * add unittest for evaluation function in posetrack18-realted dataset, and add some annotations json files * fix typo * fix unittest CI failure * fix typo * modify some methods in the base class to improve code coverage rate * recover some mistakenly-deleted notes * remove test_dataset_info part for the new TopDownPoseTrack18VideoDataset class * cancel uncompleted previous runs (open-mmlab#1053) * [Doc] Add inference speed results (open-mmlab#1044) * add docs related to inference speed results * add corresponding Chinese docs and fix some typos * add Chinese docs in readthedocs * remove the massive table in readme * minor modification to wording Co-authored-by: ly015 <liyining0712@gmail.com> * [Feature] Add PoseWarper detector model (open-mmlab#932) * Add top down video detector module * Add PoseWarper neck * add function _freeze_stages * fix typo * modify PoseWarper detector and PoseWarperNeck * fix typo * modify posewarper detector and neck * Delete top_down_video.py change the base class of `PoseWarper` detector from `TopDownVideo` to `TopDown` * fix spell typo * modify detector and neck * add unittest for detector and neck * modify unittest for posewarper forward * Add top down video detector module * Add PoseWarper neck * add function _freeze_stages * fix typo * modify PoseWarper detector and PoseWarperNeck * fix typo * modify posewarper detector and neck * Delete top_down_video.py change the base class of `PoseWarper` detector from `TopDownVideo` to `TopDown` * fix spell typo * modify detector and neck * add unittest for detector and neck * modify unittest for posewarper forward * modify dependency on mmcv version in posewarper neck * reduce memory cost in test * modify flops tool for more flexible input format * Add top down video detector module * Add PoseWarper neck * add function _freeze_stages * fix typo * modify PoseWarper detector and PoseWarperNeck * fix typo * modify posewarper detector and neck * Delete top_down_video.py change the base class of `PoseWarper` detector from `TopDownVideo` to `TopDown` * fix spell typo * modify detector and neck * add unittest for detector and neck * modify unittest for posewarper forward * Add PoseWarper neck * modify PoseWarper detector and PoseWarperNeck * modify posewarper detector and neck * Delete top_down_video.py change the base class of `PoseWarper` detector from `TopDownVideo` to `TopDown` * fix spell typo * modify detector and neck * add unittest for detector and neck * modify unittest for posewarper forward * modify dependency on mmcv version in posewarper neck * reduce memory cost in test * modify flops tool for more flexible input format * modify the posewarper detector description * modify some arguments and related fields * modify default values for some args * fix readthedoc bulid typo * fix ignore path (open-mmlab#1059) * [Doc] Add related docs for PoseWarper (open-mmlab#1036) * add related docs for PoseWarper * add related readme docs for posewarper * modify related args in posewarper stage2 config * modify posewarper stage2 config path * add description about val_boxes path for data preparation (open-mmlab#1060) * bump version to v0.21.0 (open-mmlab#1061) * [Feature] Add ViPNAS_Mbv3 wholebody model (open-mmlab#1055) * add vipnas mbv3 coco_wholebody * add vipnas mbv3 coco_wholebody md&yml * fix lint Co-authored-by: ly015 <liyining0712@gmail.com> Co-authored-by: Lumin <30328525+luminxu@users.noreply.github.com> Co-authored-by: zengwang430521 <zengwang430521@gmail.com> Co-authored-by: Jas <jinsheng@sensetime.com> Co-authored-by: jin-s13 <jinsheng13@foxmail.com> Co-authored-by: Qikai Li <87690686+liqikai9@users.noreply.github.com> Co-authored-by: QwQ2000 <396707050@qq.com>
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Hello, when I use lovasz loss, when loss_type='binary', the following problems will occur
IndexError: The shape of the mask [1048576] at index 0 does not match the shape of the indexed tensor [2097152] at index 0The text was updated successfully, but these errors were encountered: