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STDC-seg reproduction #1025

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chen1234520 opened this issue Nov 9, 2021 · 7 comments
Closed

STDC-seg reproduction #1025

chen1234520 opened this issue Nov 9, 2021 · 7 comments
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@MengzhangLI

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@chen1234520
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请问STDC-seg的复现工作是否完成？这个版本的可以使用吗？https://github.com/xiexinch/mmsegmentation/tree/stdc_new @MengzhangLI @xiexinch
@MengzhangLI
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MengzhangLI commented Nov 9, 2021 •
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请问STDC-seg的复现工作是否完成？这个版本的可以使用吗？https://github.com/xiexinch/mmsegmentation/tree/stdc_new @MengzhangLI @xiexinch

Not yet. It is WIP.

But we have unofficial reproduced training results in our own settings.

You could run it without pretrained models(not provided yet) currently.

I suggest you remove STDCHead to FCN because right now I found it is useless because its loss is zero. I am checking out whether am I wrong or the original paper / codebase is misleading.

FYI: MichaelFan01/STDC-Seg#26

@MengzhangLI MengzhangLI self-assigned this Nov 9, 2021
@chen1234520
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请问STDC-seg的复现工作是否完成？这个版本的可以使用吗？https://github.com/xiexinch/mmsegmentation/tree/stdc_new @MengzhangLI @xiexinch

Not yet. It is WIP.

But we have unofficial reproduced training results in our own settings.

You could run it without pretrained models(not provided yet) currently.

I suggest you remove STDCHead to FCN because right now I found it is useless because its loss is zero. I am checking out whether am I wrong or the original paper / codebase is misleading.

FYI: MichaelFan01/STDC-Seg#26

Thanks.

@MengzhangLI
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请问STDC-seg的复现工作是否完成？这个版本的可以使用吗？https://github.com/xiexinch/mmsegmentation/tree/stdc_new @MengzhangLI @xiexinch

Not yet. It is WIP.
But we have unofficial reproduced training results in our own settings.
You could run it without pretrained models(not provided yet) currently.
I suggest you remove STDCHead to FCN because right now I found it is useless because its loss is zero. I am checking out whether am I wrong or the original paper / codebase is misleading.
FYI: MichaelFan01/STDC-Seg#26

Thanks.

Leave out your e-mails so I can send pretrained models and config files to you.

@chen1234520
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比如STDC -seg的复现工作是否完成？这个版本的可以使用吗？https://github.com/xiexinch/mmsegmentation/tree/stdc_new @MengzhangLI @xiexinch

还没有。它是 WIP。
但是我们在我们自己的设置中有非官方的复制训练结果。
您目前可以在没有预训练模型（尚未提供）的情况下运行它。
我建议你删除STDCHeadtoFCN因为现在我发现它没有用，因为它的损失为零。我正在检查是我错了还是原始论文/代码库具有误导性。
仅供参考：MichaelFan01/STDC-Seg#26

谢谢。

留下您的电子邮件，以便我可以将预训练的模型和配置文件发送给您。

chen1234520nn@foxmail.com
Thanks a lot

@fangwudi
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比如STDC -seg的复现工作是否完成？这个版本的可以使用吗？https://github.com/xiexinch/mmsegmentation/tree/stdc_new @MengzhangLI @xiexinch

还没有。它是 WIP。
但是我们在我们自己的设置中有非官方的复制训练结果。
您目前可以在没有预训练模型（尚未提供）的情况下运行它。
我建议你删除STDCHeadtoFCN因为现在我发现它没有用，因为它的损失为零。我正在检查是我错了还是原始论文/代码库具有误导性。
仅供参考：MichaelFan01/STDC-Seg#26

谢谢。

留下您的电子邮件，以便我可以将预训练的模型和配置文件发送给您。

chen1234520nn@foxmail.com Thanks a lot

你好，我也需要，我的邮箱是fangwudi@foxmail.com， 谢谢。另外，复现pr还要大概什么时候可以完成？

@MengzhangLI
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比如STDC -seg的复现工作是否完成？这个版本的可以使用吗？https://github.com/xiexinch/mmsegmentation/tree/stdc_new @MengzhangLI @xiexinch

还没有。它是 WIP。
但是我们在我们自己的设置中有非官方的复制训练结果。
您目前可以在没有预训练模型（尚未提供）的情况下运行它。
我建议你删除STDCHeadtoFCN因为现在我发现它没有用，因为它的损失为零。我正在检查是我错了还是原始论文/代码库具有误导性。
仅供参考：MichaelFan01/STDC-Seg#26

谢谢。

留下您的电子邮件，以便我可以将预训练的模型和配置文件发送给您。

chen1234520nn@foxmail.com Thanks a lot

你好，我也需要，我的邮箱是fangwudi@foxmail.com， 谢谢。另外，复现pr还要大概什么时候可以完成？

Maybe in the end of this month.

@MengzhangLI
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@fangwudi @chen1234520 STDC-Seg has been supported by MMSegmentation.

aravind-h-v pushed a commit to aravind-h-v/mmsegmentation that referenced this issue Mar 27, 2023
@anton-l
Support grayscale images in numpy_to_pil (open-mmlab#1025)
fb38bb1
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>
wjkim81 pushed a commit to wjkim81/mmsegmentation that referenced this issue Dec 3, 2023
@wusize @zengwang430521
@ly015 @luminxu @jin-s13 @liqikai9 @QwQ2000
[Feature] Voxelpose (open-mmlab#1050)
1621255 
* [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.

* [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

* update model metafiles (open-mmlab#1001)

* [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>

* 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)

* Skip CI when some specific files were changed (open-mmlab#1041)

* add voxelpose

* unit test

* unit test

* unit test

* add docs/ckpts

* del unnecessary comments

* correct typos in comments and docs

* Add or modify docs

* change variable names

* reduce memory cost in test

* get person_id

* rebase

* resolve comments

* rebase master

* rename cfg files

* fix typos in comments

Co-authored-by: zengwang430521 <zengwang430521@gmail.com>
Co-authored-by: Yining Li <liyining0712@gmail.com>
Co-authored-by: Lumin <30328525+luminxu@users.noreply.github.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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@fangwudi @MengzhangLI @chen1234520