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mmsegmentation/model-index.yml

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[Feature] support mim (#549) * dice loss * format code, add docstring and calculate denominator without valid_mask * minor change * restore * add metafile * add manifest.in and add config at setup.py * add requirements * modify manifest * modify manifest * Update MANIFEST.in * add metafile * add metadata * fix typo * Update metafile.yml * Update metafile.yml * minor change * Update metafile.yml * add subfix * fix mmshow * add more metafile * add config to model_zoo * fix bug * Update mminstall.txt * [fix] Add models * [Fix] Add collections * [fix] Modify collection name * [Fix] Set datasets to unet metafile * [Fix] Modify collection names * complement inference time
2021-06-01 06:07:24 +08:00
Import:
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size
2021-08-01 00:31:58 +08:00
- configs/ann/ann.yml
- configs/apcnet/apcnet.yml
[Feature] Add BEiT backbone (#1404) * [Feature] Add BEiT backbone * fix * fix * fix * fix * add readme * fix * fix * fix * fix * fix * add link * fix memory * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix test_beit.py * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix
2022-03-30 15:25:10 +08:00
- configs/beit/beit.yml
[Feature] Support BiSeNetV1 (#851) * First Commit * fix typos * fix typos * Fix assertion bug * Adding Assert * Adding Unittest * Fixing typo * Uploading models & logs * Fixing unittest error * changing README.md * changing README.md
2021-09-29 02:12:57 +08:00
- configs/bisenetv1/bisenetv1.yml
[Feature] Support BiSeNetV2 (#804) * BiSeNetV2 first commit * BiSeNetV2 unittest * remove pytest * add pytest module * fix ConvModule input name * fix pytest error * fix unittest * refactor * BiSeNetV2 Refactory * fix docstrings and add some small changes * use_sigmoid=False * fix potential bugs about upsampling * Use ConvModule instead * Use ConvModule instead * fix typos * fix typos * fix typos * discard nn.conv2d * discard nn.conv2d * discard nn.conv2d * delete **kwargs * uploading markdown and model * final commit * BiSeNetV2 adding Unittest for its modules * BiSeNetV2 adding Unittest for its modules * BiSeNetV2 adding Unittest for its modules * BiSeNetV2 adding Unittest for its modules * BiSeNetV2 adding Unittest for its modules * BiSeNetV2 adding Unittest for its modules * BiSeNetV2 adding Unittest for its modules * Fix README conflict * Fix unittest problem * Fix unittest problem * BiSeNetV2 * Fixing fps * Fixing typpos * bisenetv2
2021-09-26 18:52:16 +08:00
- configs/bisenetv2/bisenetv2.yml
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size
2021-08-01 00:31:58 +08:00
- configs/ccnet/ccnet.yml
- configs/cgnet/cgnet.yml
[Feature] Support ConvNext (#1216) * upload original backbone and configs * ConvNext Refactor * ConvNext Refactor * convnext customization refactor with mmseg style * convnext customization refactor with mmseg style * add ade20k_640x640.py * upload files for training * delete dist_optimizer_hook and remove layer_decay_optimizer_constructor * check max(out_indices) < num_stages * add unittest * fix lint error * use MMClassification backbone * fix bugs in base_1k * add mmcls in requirements/mminstall.txt * add mmcls in requirements/mminstall.txt * fix drop_path_rate and layer_scale_init_value * use logger.info instead of print * add mmcls in runtime.txt * fix f string && delete * add doctring in LearningRateDecayOptimizerConstructor and fix mmcls version in requirements * fix typo in LearningRateDecayOptimizerConstructor * use ConvNext models in unit test for LearningRateDecayOptimizerConstructor * add unit test * fix typo * fix typo * add layer_wise and fix redundant backbone.downsample_norm in it * fix unit test * give a ground truth lr_scale and weight_decay * upload models and readme * delete 'backbone.stem_norm' and 'backbone.downsample_norm' in get_num_layer() * fix unit test and use mmcls url * update md2yml.py and metafile * fix typo
2022-03-04 15:52:01 +08:00
- configs/convnext/convnext.yml
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size
2021-08-01 00:31:58 +08:00
- configs/danet/danet.yml
- configs/deeplabv3/deeplabv3.yml
- configs/deeplabv3plus/deeplabv3plus.yml
- configs/dmnet/dmnet.yml
- configs/dnlnet/dnlnet.yml
[Feature] add DPT head (#605) * add DPT head * [fix] fix init error * use mmcv function * delete code * remove transpose clas * support NLC output shape * Delete post_process_layer.py * add unittest and docstring * rename variables * fix project error and add unittest * match dpt weights * add configs * fix vit pos_embed bug and dpt feature fusion bug * match vit output * fix gelu * minor change * update unitest * fix configs error * inference test * remove auxilary * use local pretrain * update training results * update yml * update fps and memory test * update doc * update readme * add yml * update doc * remove with_cp * update config * update docstring * remove dpt-l * add init_cfg and modify readme.md * Update dpt_vit-b16.py * zh-n README * use constructor instead of build function * prevent tensor being modified by ConvModule * fix unittest Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
2021-08-30 16:53:05 +08:00
- configs/dpt/dpt.yml
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size
2021-08-01 00:31:58 +08:00
- configs/emanet/emanet.yml
- configs/encnet/encnet.yml
[Feature] Support Real-time model ERFNet (#960) * first commit * Fixing Unittest Error * first refactory of ERFNet * Refactorying NonBottleneck1d Module * uploading models&logs * uploading models&logs * fix partial bugs & typos * ERFNet * add ERFNet with FCNHead * fix typos of ERFNet * add name on README.md cover * chane name to T-ITS'2017 * fix lint error
2021-12-02 15:54:39 +08:00
- configs/erfnet/erfnet.yml
[Feature] Support FastFCN (#885) * FastFCN first commit * FastFCN first commit * Fixing lint error * Fixing lint error * use for loop on JPU * Use For Loop * Refactor FastFCN * FastFCN * FastFCN * temp * Uploading models & logs (4x4) * Fixing typos * fix typos * rename config * change README.md * use _delete_=True * change configs * change start_level to 0 * change start_level to 0 * jpu * add unittest for start_level!=0
2021-10-01 02:41:24 +08:00
- configs/fastfcn/fastfcn.yml
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size
2021-08-01 00:31:58 +08:00
- configs/fastscnn/fastscnn.yml
- configs/fcn/fcn.yml
- configs/gcnet/gcnet.yml
- configs/hrnet/hrnet.yml
[Feature] Support ICNet (#884) * add icnet backbone * add icnet head * add icnet configs * nclass -> num_classes * Support ICNet * ICNet * ICNet * Add ICNeck * Add ICNeck * Add ICNeck * Add ICNeck * Adding unittest * Uploading models & logs * Uploading models & logs * add comment * smaller test_swin.py * try to delete test_swin.py * delete test_unet.py * delete test_unet.py * temp * smaller test_unet.py Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
2021-10-01 00:31:57 +08:00
- configs/icnet/icnet.yml
[Feature] Support ISA module (#70) * add isa module * use more readable names, add more comments and exp results * add unittests * remove redundant docstring * Apply suggestions from code review Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn> * fix unittest * Update configs * add results * update yml * Update README Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn> Co-authored-by: xiexinch <xinchen.xie@qq.com>
2021-09-09 12:13:53 +08:00
- configs/isanet/isanet.yml
[Feature] Support K-Net (#1289) * knet first commit * fix import error in knet * remove kernel update head from decoder head * [Feature] Add kenerl updation for some decoder heads. * [Feature] Add kenerl updation for some decoder heads. * directly use forward_feature && modify other 3 decoder heads * remover kernel_update attr * delete unnecessary variables in forward function * delete kernel update function * delete kernel update function * delete kernel_generate_head * add unit test & comments in knet.py * add copyright to fix lint error * modify config names of knet * rename swin-l 640 * upload models&logs and refactor knet_head.py * modify docstrings and add some ut * add url, modify docstring and add loss ut * modify docstrings
2022-03-10 20:05:37 +08:00
- configs/knet/knet.yml
[Feature]: Add MAE (#1307) * [Fix]: Fix lint * [WIP]: Add mae seg config * [Feature]: Add MAE seg * [Fix]: Fix mae dataset img scale bug * [Fix]: Fix lint * [Feature]: Change mae config to mae_segmentation's config * [Feature]: Add interpolate pe when loading * [Fix]: Fix pos_embed not used bug * [Fix]: Fix lint * [Fix]: Init rel pos embed with zeros * [Fix]: Fix lint * [Fix]: Change the type name of backbone to MAE * [Fix]: Delete ade20k_512x512.py * [Fix]: Use mmseg provided ade20k.py * [Fix]: Change 1 sample per gpu to 2 samples per gpu * [Fix]: Fix conflict * [Refactor]: Use the TransformerEncoderLayer of BEiT * [Feature]: Add UT * [Fix]: Change the default value of qv bias to False * [Fix]: Initialize relative pos table with zeros * [Fix]: Delete redundant code in mae * [Fix]: Fix lint * [Fix]: Rename qkv_bias to qv_bias * [Fix]: Add docstring to weight_init of MAEAttention * [Refactor]: Delete qv_bias param * [Fix]: Add reference to fix_init_weight * [Fix]: Fix lint * [Fix]: Delete extra crop size * [Refactor]: Rename mae * [Fix]: Set bias to True * [Fix]: Delete redundant params * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Add resize abs pos embed * [Fix]: Fix UT * [Refactor]: Use build layer * [Fix]: Add licsense and fix docstring * [Fix]: Fix docstring * [Feature]: Add README metafile * [Fix]: Change 640 to 512 * [Fix]: Fix README * fix readme of MAE Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
2022-04-28 00:54:20 +08:00
- configs/mae/mae.yml
[Feature] Support Mask2former in MMSeg 1.x (#2255) * init commits * fix crop size * add seg_data2instance_data method * add ut and update requirement * update configs and readme * add model-indel * update optional requirements * fix results * fix lint error * update results * update results * remove mmdet from requirements/optional.txt * use try import and update README * add docstring to overwrtied method * minor change Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
2022-12-05 18:34:24 +08:00
- configs/mask2former/mask2former.yml
[Feature] Support MaskFormer(NeurIPS'2021) in MMSeg 1.x (#2215) * [Feature] Support MaskFormer(NeurIPS'2021) in MMSeg 1.x * add mmdet try except logic * refactor config files * add readme * fix config * update models & logs * add MMDET installation and fix info * fix comments * fix * fix config norm optimizer setting * update models & logs & unittest * add docstring of MaskFormerHead * wait for mmdet 3.0.0rc4 * replace seg_mask with seg_logits & add docstring for batch_input_shape * use mmdet3.0.0rc4 * fix readme and modify config comments * add mmdet installation in pr_stage_test.yml * update mmcv version in pr_stage_test.yml * add mmdet in build_cpu of pr_stage_test.yml * modify mmdet& mmcv installation in merge_stage_test.yml * fix typo * update test.yml * update test.yml
2022-12-01 19:03:10 +08:00
- configs/maskformer/maskformer.yml
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size
2021-08-01 00:31:58 +08:00
- configs/mobilenet_v2/mobilenet_v2.yml
- configs/mobilenet_v3/mobilenet_v3.yml
- configs/nonlocal_net/nonlocal_net.yml
- configs/ocrnet/ocrnet.yml
[Feature] Support PIDNet (#2609) ## Motivation Support SOTA real-time semantic segmentation method in [Paper with code](https://paperswithcode.com/task/real-time-semantic-segmentation) Paper: https://arxiv.org/pdf/2206.02066.pdf Official repo: https://github.com/XuJiacong/PIDNet ## Current results **Cityscapes** |Model|Ref mIoU|mIoU (ours)| |---|---|---| |PIDNet-S|78.8|78.74| |PIDNet-M|79.9|80.22| |PIDNet-L|80.9|80.89| ## TODO - [x] Support inference with official weights - [x] Support training on Cityscapes - [x] Update docstring - [x] Add unit test
2023-03-15 14:55:30 +08:00
- configs/pidnet/pidnet.yml
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size
2021-08-01 00:31:58 +08:00
- configs/point_rend/point_rend.yml
[Feature] Support PoolFormer in MMSegmentation 2.0 (#2191) * [Feature] 2.0 PoolFormer * fix mmcls version * fix ut error * fix ut * fix ut
2022-10-19 13:08:07 +08:00
- configs/poolformer/poolformer.yml
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size
2021-08-01 00:31:58 +08:00
- configs/psanet/psanet.yml
- configs/pspnet/pspnet.yml
- configs/resnest/resnest.yml
[Tools] Add vit/swin/mit convert weight scripts (#783) * init scripts * update markdown * update markdown * add docs * delete mit converter and use torch load function * rename segformer readme * update doc * modify doc * 更新中文文档 * Update useful_tools.md * Update useful_tools.md * modify doc * update segformer.yml
2021-08-18 09:42:42 +08:00
- configs/segformer/segformer.yml
[Feature] Support Segmenter (#955) * segmenter: add model * update * readme: update * config: update * segmenter: update readme * segmenter: update * segmenter: update * segmenter: update * configs: set checkpoint path to pretrain folder * segmenter: modify vit-s/lin, remove data config * rreadme: update * configs: transfer from _base_ to segmenter * configs: add 8x1 suffix * configs: remove redundant lines * configs: cleanup * first attempt * swipe CI error * Update mmseg/models/decode_heads/__init__.py Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn> * segmenter_linear: use fcn backbone * segmenter_mask: update * models: add segmenter vit * decoders: yapf+remove unused imports * apply precommit * segmenter/linear_head: fix * segmenter/linear_header: fix * segmenter: fix mask transformer * fix error * segmenter/mask_head: use trunc_normal init * refactor segmenter head * Fetch upstream (#1) * [Feature] Change options to cfg-option (#1129) * [Feature] Change option to cfg-option * add expire date and fix the docs * modify docstring * [Fix] Add <!-- [ABSTRACT] --> in metafile #1127 * [Fix] Fix correct num_classes of HRNet in LoveDA dataset #1136 * Bump to v0.20.1 (#1138) * bump version 0.20.1 * bump version 0.20.1 * [Fix] revise --option to --options #1140 Co-authored-by: Rockey <41846794+RockeyCoss@users.noreply.github.com> Co-authored-by: MengzhangLI <mcmong@pku.edu.cn> * decode_head: switch from linear to fcn * fix init list formatting * configs: remove variants, keep only vit-s on ade * align inference metric of vit-s-mask * configs: add vit t/b/l * Update mmseg/models/decode_heads/segmenter_mask_head.py Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com> * Update mmseg/models/decode_heads/segmenter_mask_head.py Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com> * Update mmseg/models/decode_heads/segmenter_mask_head.py Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com> * Update mmseg/models/decode_heads/segmenter_mask_head.py Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com> * Update mmseg/models/decode_heads/segmenter_mask_head.py Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com> * model_converters: use torch instead of einops * setup: remove einops * segmenter_mask: fix missing imports * add necessary imported init funtion * segmenter/seg-l: set resolution to 640 * segmenter/seg-l: fix test size * fix vitjax2mmseg * add README and unittest * fix unittest * add docstring * refactor config and add pretrained link * fix typo * add paper name in readme * change segmenter config names * fix typo in readme * fix typos in readme * fix segmenter typo * fix segmenter typo * delete redundant comma in config files * delete redundant comma in config files * fix convert script * update lateset master version Co-authored-by: MengzhangLI <mcmong@pku.edu.cn> Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn> Co-authored-by: Rockey <41846794+RockeyCoss@users.noreply.github.com> Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>
2022-01-26 13:50:51 +08:00
- configs/segmenter/segmenter.yml
[Feature] Support SegNeXt in MMSegmentation 2.0 (#2654) ## Motivation Support SegNeXt in MMSeg 1.x branch. 0.x PR: https://github.com/open-mmlab/mmsegmentation/pull/2600 --------- Co-authored-by: xiexinch <xiexinch@outlook.com>
2023-03-16 16:49:15 +08:00
- configs/segnext/segnext.yml
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size
2021-08-01 00:31:58 +08:00
- configs/sem_fpn/sem_fpn.yml
- configs/setr/setr.yml
[Feature] Support STDC Network (new) (#995) * refactor stdc code * update key * fix backbone inference * remove comments * fixing errors * fixing version conflict * fux typo * use STDCHead * upload models&logs * adding model converters script and fix unittest * fix error * fix error * fix error * delete redundant keys in config * fix errors in configs and unittest * fix errors in configs and unittest * fix errors in configs and unittest * change Memory name * refactor stdc2mmseg * change name to STDC * refactor stdc * refactor stdc * stdc refactor * stdc refactor * stdc refactor * stdc refactor * stdc refactor * stdc refactor * refactor stdc * stdc refactor Co-authored-by: xiexinch <xinchen.xie@qq.com>
2021-12-10 23:09:32 +08:00
- configs/stdc/stdc.yml
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size
2021-08-01 00:31:58 +08:00
- configs/swin/swin.yml
[Feature] Support Twins (NeurIPS2021) (#989) * debug * debug * debug * this is a debug step, and needs to be recovered * need recover * git * debug * git * git * git * git * git * git * debug need recover * debug * git * debug * debug * debug * debug * debug * debug * debug * debug * debugf * debug * debug * debug * debug * debug * debug * debug * debug * git * git * git * use config small/base/large * debug * debug * git * debug * git * debug * debug * debug args * debug * debug * git * git * debug * git * git * git * git * git * debug * debug * git * debug * git * debug * debug * debug * debug * git * debug * git * git * debug * debug * git * git * git * git * debug * debug * debug * debug * git * debug * debug * git * git * debug * debug * git * debug * debug * debug * git * debug * debug * debug * Please enter the commit message for your changes. Lines starting * git * git * debug * debug * debug * git * git * debug * debug * debug * debug * debug * debug * debug * debug * debug * debug * debug * git * debug * debug * debug * debug * debug * debug * debug * git * fix pre-commit error * fix error * git * git * git * git * git * git * debug * debug * debug * debug * debug * debug * git * debug * debug * debug * debug * debug * debug * debug * debug * debug * git * git * git * debug * debug * debug * git * git * git * git * git * git * git * git * git * debug * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * fix unittest error * fix config errors * fix twins2mmseg bug * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * git * fix init_weights() in twins.py * git * git * git * git * fix comment * fix comment * fix comment * fix comment * fix unit test coverage in TwinsPR * Add Twins README * Add Twins README * twins refactor * twins refactor * delete init_cfg in FFN * delete init_cfg in FFN * Update mmseg/models/backbones/twins.py * Update mmseg/models/backbones/twins.py * Update mmseg/models/backbones/twins.py Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn> * Update mmseg/models/backbones/twins.py * add conference name Co-authored-by: linxinyang <linxinyang@meituan.com> Co-authored-by: MengzhangLI <mcmong@pku.edu.cn> Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
2021-12-09 19:18:10 +08:00
- configs/twins/twins.yml
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size
2021-08-01 00:31:58 +08:00
- configs/unet/unet.yml
- configs/upernet/upernet.yml
- configs/vit/vit.yml