hysts HF staff commited on
Commit
7133090
1 Parent(s): 66dc3fa

mmdet 2.25.0

Browse files
mmdet_configs/README.md CHANGED
@@ -1,2 +1,2 @@
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- `configs.tar` is a tarball of https://github.com/open-mmlab/mmdetection/tree/v2.24.1/configs.
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  The license file of the mmdetection is also included in this directory.
 
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+ `configs.tar` is a tarball of https://github.com/open-mmlab/mmdetection/tree/v2.25.0/configs.
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  The license file of the mmdetection is also included in this directory.
mmdet_configs/configs.tar CHANGED
@@ -1,3 +1,3 @@
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- oid sha256:5d2091e07da6b74a6cd694e895b653485f7ce9d5d17738a415ca77a56940b989
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- size 3389440
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:664c4aa92fed081afa9b1637c9e1afe7f703be8f12f83105a466d9cba00e3c63
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+ size 3604480
model_dict/instance_segmentation.yaml CHANGED
@@ -28,6 +28,12 @@ PointRend (R-50-FPN):
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  DetectoRS (HTC + ResNet-101):
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  config: https://github.com/open-mmlab/mmdetection/tree/master/configs/detectors/detectors_htc_r101_20e_coco.py
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  model: https://download.openmmlab.com/mmdetection/v2.0/detectors/detectors_htc_r101_20e_coco/detectors_htc_r101_20e_coco_20210419_203638-348d533b.pth
 
 
 
 
 
 
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  SCNet (X-101-64x4d-FPN):
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  config: https://github.com/open-mmlab/mmdetection/tree/master/configs/scnet/scnet_x101_64x4d_fpn_20e_coco.py
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  model: https://download.openmmlab.com/mmdetection/v2.0/scnet/scnet_x101_64x4d_fpn_20e_coco/scnet_x101_64x4d_fpn_20e_coco-fb09dec9.pth
@@ -37,3 +43,9 @@ QueryInst (R-50-FPN):
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  QueryInst (R-101-FPN):
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  config: https://github.com/open-mmlab/mmdetection/tree/master/configs/queryinst/queryinst_r101_fpn_300_proposals_crop_mstrain_480-800_3x_coco.py
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  model: https://download.openmmlab.com/mmdetection/v2.0/queryinst/queryinst_r101_fpn_300_proposals_crop_mstrain_480-800_3x_coco/queryinst_r101_fpn_300_proposals_crop_mstrain_480-800_3x_coco_20210904_153621-76cce59f.pth
 
 
 
 
 
 
 
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  DetectoRS (HTC + ResNet-101):
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  config: https://github.com/open-mmlab/mmdetection/tree/master/configs/detectors/detectors_htc_r101_20e_coco.py
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  model: https://download.openmmlab.com/mmdetection/v2.0/detectors/detectors_htc_r101_20e_coco/detectors_htc_r101_20e_coco_20210419_203638-348d533b.pth
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+ #SOLOv2 (R-50):
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+ # config: https://github.com/open-mmlab/mmdetection/tree/master/configs/solov2/solov2_r50_fpn_3x_coco.py
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+ # model: https://download.openmmlab.com/mmdetection/v2.0/solov2/solov2_r50_fpn_3x_coco/solov2_r50_fpn_3x_coco_20220512_125856-fed092d4.pth
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+ #SOLOv2 (X-101 (DCN)):
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+ # config: https://github.com/open-mmlab/mmdetection/tree/master/configs/solov2/solov2_x101_dcn_fpn_3x_coco.py
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+ # model: https://download.openmmlab.com/mmdetection/v2.0/solov2/solov2_x101_dcn_fpn_3x_coco/solov2_x101_dcn_fpn_3x_coco_20220513_214337-aef41095.pth
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  SCNet (X-101-64x4d-FPN):
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  config: https://github.com/open-mmlab/mmdetection/tree/master/configs/scnet/scnet_x101_64x4d_fpn_20e_coco.py
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  model: https://download.openmmlab.com/mmdetection/v2.0/scnet/scnet_x101_64x4d_fpn_20e_coco/scnet_x101_64x4d_fpn_20e_coco-fb09dec9.pth
 
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  QueryInst (R-101-FPN):
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  config: https://github.com/open-mmlab/mmdetection/tree/master/configs/queryinst/queryinst_r101_fpn_300_proposals_crop_mstrain_480-800_3x_coco.py
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  model: https://download.openmmlab.com/mmdetection/v2.0/queryinst/queryinst_r101_fpn_300_proposals_crop_mstrain_480-800_3x_coco/queryinst_r101_fpn_300_proposals_crop_mstrain_480-800_3x_coco_20210904_153621-76cce59f.pth
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+ Mask2Former (R-50):
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+ config: https://github.com/open-mmlab/mmdetection/tree/master/configs/mask2former/mask2former_r50_lsj_8x2_50e_coco.py
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+ model: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_r50_lsj_8x2_50e_coco/mask2former_r50_lsj_8x2_50e_coco_20220506_191028-8e96e88b.pth
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+ Mask2Former (Swin-S):
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+ config: https://github.com/open-mmlab/mmdetection/tree/master/configs/mask2former/mask2former_swin-s-p4-w7-224_lsj_8x2_50e_coco.py
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+ model: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_swin-s-p4-w7-224_lsj_8x2_50e_coco/mask2former_swin-s-p4-w7-224_lsj_8x2_50e_coco_20220504_001756-743b7d99.pth
model_dict/panoptic_segmentation.yaml CHANGED
@@ -7,3 +7,9 @@ MaskFormer (R-50):
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  MaskFormer (Swin-L):
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  config: https://github.com/open-mmlab/mmdetection/tree/master/configs/maskformer/maskformer_swin-l-p4-w12_mstrain_64x1_300e_coco.py
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  model: https://download.openmmlab.com/mmdetection/v2.0/maskformer/maskformer_swin-l-p4-w12_mstrain_64x1_300e_coco/maskformer_swin-l-p4-w12_mstrain_64x1_300e_coco_20220326_221612-061b4eb8.pth
 
 
 
 
 
 
 
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  MaskFormer (Swin-L):
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  config: https://github.com/open-mmlab/mmdetection/tree/master/configs/maskformer/maskformer_swin-l-p4-w12_mstrain_64x1_300e_coco.py
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  model: https://download.openmmlab.com/mmdetection/v2.0/maskformer/maskformer_swin-l-p4-w12_mstrain_64x1_300e_coco/maskformer_swin-l-p4-w12_mstrain_64x1_300e_coco_20220326_221612-061b4eb8.pth
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+ Mask2Former (R-50):
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+ config: https://github.com/open-mmlab/mmdetection/tree/master/configs/mask2former/mask2former_r50_lsj_8x2_50e_coco-panoptic.py
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+ model: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_r50_lsj_8x2_50e_coco-panoptic/mask2former_r50_lsj_8x2_50e_coco-panoptic_20220326_224516-11a44721.pth
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+ Mask2Former (Swin-L):
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+ config: https://github.com/open-mmlab/mmdetection/tree/master/configs/mask2former/mask2former_swin-l-p4-w12-384-in21k_lsj_16x1_100e_coco-panoptic.py
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+ model: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_swin-l-p4-w12-384-in21k_lsj_16x1_100e_coco-panoptic/mask2former_swin-l-p4-w12-384-in21k_lsj_16x1_100e_coco-panoptic_20220407_104949-d4919c44.pth
requirements.txt CHANGED
@@ -1,5 +1,5 @@
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  mmcv-full==1.5.2
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- mmdet==2.24.1
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  numpy==1.22.4
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  opencv-python-headless==4.5.5.64
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  openmim==0.1.5
 
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  mmcv-full==1.5.2
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+ mmdet==2.25.0
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  numpy==1.22.4
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  opencv-python-headless==4.5.5.64
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  openmim==0.1.5