Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

[Doc] Main figure of modles in MMSegmentation #1059

Closed
MengzhangLI opened this issue Nov 22, 2021 · 11 comments
Closed

[Doc] Main figure of modles in MMSegmentation #1059

MengzhangLI opened this issue Nov 22, 2021 · 11 comments
Assignees
@MengzhangLI
Labels
Doc

Comments

@MengzhangLI
Copy link
Contributor

We would like to add main figure and abstract of each model in our repo. This issue is used for uploading figures for hyperlink in README.md
@MengzhangLI MengzhangLI self-assigned this Nov 22, 2021
@MengzhangLI
Copy link
Contributor Author

ANN:
image

APCNet:
image

BiSeNetV1:
image

BiSeNetV2:
image

CCNet:
image

CGNet:
image

DANet:
image

DeepLabV3:
image

DeepLabV3+:
image

DMNet:
image

DNL:
image

DPT:
image

EMANet:
image

EncNet:
image

FastFCN:
image

Fast-SCNN:
image

FCN:
image

GCNet:
image

HRNet:
image

ICNet:
image

ISANet:
image

MobileNetV2:
image

MobileNetV3:
image

NonLocal:
image

OCRNet:
image

PointRend:
image

PSANet:
image

PSPNet:
image

ResNest:
image

SegFormer:
image

FPN:
image

SETR:
image

SwinTransformer:
image

UNet:
image

UPerNet:
image

ViT:
image

@MengzhangLI MengzhangLI mentioned this issue Nov 22, 2021
Merged
@MengzhangLI
Copy link
Contributor Author

ERFNet:
image

@MengzhangLI
Copy link
Contributor Author

STDC-Seg

image

@MengzhangLI
Copy link
Contributor Author

Twins

image

@MengzhangLI
Copy link
Contributor Author

segmenter

image

@MengzhangLI
Copy link
Contributor Author

K-Net
image

@RockeyCoss
Copy link
Contributor

HRFormer
图片

@linfangjian01
Copy link
Contributor

BEiT
image

@MengzhangLI
Copy link
Contributor Author

MAE

image

@MengzhangLI
Copy link
Contributor Author

MaskFormer

image

@MengzhangLI
Copy link
Contributor Author

SegNeXt:

screenshot-20230131-145308

wjkim81 pushed a commit to wjkim81/mmsegmentation that referenced this issue Dec 3, 2023
@ly015 @luminxu
@zengwang430521 @jin-s13 @liqikai9 @QwQ2000
Merge dev-0.21 into master (open-mmlab#1062)
2a0a2d2 
* 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>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees

@MengzhangLI MengzhangLI

Labels
Doc
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
3 participants
@MengzhangLI @RockeyCoss @linfangjian01