update model index

.pre-commit-config.yaml

@@ -41,7 +41,7 @@ repos:
           - mdformat-openmmlab
           - mdformat_frontmatter
           - linkify-it-py
-  # TODO: uncomment this after mmengine release
+  # TODO: uncomment after mmengine rebase
   # - repo: local
   #   hooks:
   #     - id: update-model-index

configs/basicvsr_pp/metafile.yml

@@ -7,12 +7,12 @@ Collections:
   - https://arxiv.org/abs/2104.13371
   README: configs/basicvsr_pp/README.md
 Models:
-- Config: configs/basicvsr_pp/basicvsr-pp_c64n7_600k-8xb1_reds4.py
+- Config: configs/basicvsr_pp/basicvsr-pp_c64n7_8xb1-600k_reds4.py
   In Collection: BasicVSR++
   Metadata:
     GPUs: 8 (Tesla V100-PCIE-32GB)
     Training Data: REDS
-  Name: basicvsr-pp_c64n7_600k-8xb1_reds4
+  Name: basicvsr-pp_c64n7_8xb1-600k_reds4
   Results:
   - Dataset: REDS
     Metrics:
@@ -24,12 +24,12 @@ Models:
       Vimeo-90K-T (BIx4) PSNR (Y): 36.4445
     Task: Basicvsr_pp
   Weights: https://download.openmmlab.com/mmediting/restorers/basicvsr_plusplus/basicvsr_plusplus_c64n7_8x1_600k_reds4_20210217-db622b2f.pth
-- Config: configs/basicvsr_pp/basicvsr-pp_c64n7_300k-4xb2_vimeo90k-bi.py
+- Config: configs/basicvsr_pp/basicvsr-pp_c64n7_4xb2-300k_vimeo90k-bi.py
   In Collection: BasicVSR++
   Metadata:
     GPUs: 4 (Tesla V100-PCIE-32GB)
     Training Data: VIMEO90K
-  Name: basicvsr-pp_c64n7_300k-4xb2_vimeo90k-bi
+  Name: basicvsr-pp_c64n7_4xb2-300k_vimeo90k-bi
   Results:
   - Dataset: VIMEO90K
     Metrics:
@@ -41,12 +41,12 @@ Models:
       Vimeo-90K-T (BIx4) PSNR (Y): 37.7864
     Task: Basicvsr_pp
   Weights: https://download.openmmlab.com/mmediting/restorers/basicvsr_plusplus/basicvsr_plusplus_c64n7_8x1_300k_vimeo90k_bi_20210305-4ef437e2.pth
-- Config: configs/basicvsr_pp/basicvsr-pp_c64n7_300k-4xb2_vimeo90k-bd.py
+- Config: configs/basicvsr_pp/basicvsr-pp_c64n7_4xb2-300k_vimeo90k-bd.py
   In Collection: BasicVSR++
   Metadata:
     GPUs: 4 (Tesla V100-PCIE-32GB)
     Training Data: VIMEO90K
-  Name: basicvsr-pp_c64n7_300k-4xb2_vimeo90k-bd
+  Name: basicvsr-pp_c64n7_4xb2-300k_vimeo90k-bd
   Results:
   - Dataset: VIMEO90K
     Metrics:
@@ -58,12 +58,12 @@ Models:
       Vimeo-90K-T (BIx4) PSNR (Y): 34.7248
     Task: Basicvsr_pp
   Weights: https://download.openmmlab.com/mmediting/restorers/basicvsr_plusplus/basicvsr_plusplus_c64n7_8x1_300k_vimeo90k_bd_20210305-ab315ab1.pth
-- Config: configs/basicvsr_pp/basicvsr-pp_c64n7_600k-8xb1_reds4.py
+- Config: configs/basicvsr_pp/basicvsr-pp_c64n7_8xb1-600k_reds4.py
   In Collection: BasicVSR++
   Metadata:
     GPUs: 8 (Tesla V100-PCIE-32GB)
     Training Data: REDS
-  Name: basicvsr-pp_c64n7_600k-8xb1_reds4
+  Name: basicvsr-pp_c64n7_8xb1-600k_reds4
   Results:
   - Dataset: REDS
     Metrics:
@@ -75,12 +75,12 @@ Models:
       Vimeo-90K-T (BIx4) SSIM (Y): 0.9411
     Task: Basicvsr_pp
   Weights: https://download.openmmlab.com/mmediting/restorers/basicvsr_plusplus/basicvsr_plusplus_c64n7_8x1_600k_reds4_20210217-db622b2f.pth
-- Config: configs/basicvsr_pp/basicvsr-pp_c64n7_300k-4xb2_vimeo90k-bi.py
+- Config: configs/basicvsr_pp/basicvsr-pp_c64n7_4xb2-300k_vimeo90k-bi.py
   In Collection: BasicVSR++
   Metadata:
     GPUs: 4 (Tesla V100-PCIE-32GB)
     Training Data: VIMEO90K
-  Name: basicvsr-pp_c64n7_300k-4xb2_vimeo90k-bi
+  Name: basicvsr-pp_c64n7_4xb2-300k_vimeo90k-bi
   Results:
   - Dataset: VIMEO90K
     Metrics:
@@ -92,12 +92,12 @@ Models:
       Vimeo-90K-T (BIx4) SSIM (Y): 0.95
     Task: Basicvsr_pp
   Weights: https://download.openmmlab.com/mmediting/restorers/basicvsr_plusplus/basicvsr_plusplus_c64n7_8x1_300k_vimeo90k_bi_20210305-4ef437e2.pth
-- Config: configs/basicvsr_pp/basicvsr-pp_c64n7_300k-4xb2_vimeo90k-bd.py
+- Config: configs/basicvsr_pp/basicvsr-pp_c64n7_4xb2-300k_vimeo90k-bd.py
   In Collection: BasicVSR++
   Metadata:
     GPUs: 4 (Tesla V100-PCIE-32GB)
     Training Data: VIMEO90K
-  Name: basicvsr-pp_c64n7_300k-4xb2_vimeo90k-bd
+  Name: basicvsr-pp_c64n7_4xb2-300k_vimeo90k-bd
   Results:
   - Dataset: VIMEO90K
     Metrics:

configs/dic/metafile.yml

@@ -7,25 +7,25 @@ Collections:
   - https://arxiv.org/abs/2003.13063
   README: configs/dic/README.md
 Models:
-- Config: configs/dic/dic_x8c48b6_150k-4xb2_celeba-hq.py
+- Config: configs/dic/dic_x8c48b6_4xb2-150k_celeba-hq.py
   In Collection: DIC
   Metadata:
     GPUs: 4 (Tesla PG503-216)
     Training Data: CELEBA
-  Name: dic_x8c48b6_150k-4xb2_celeba-hq
+  Name: dic_x8c48b6_4xb2-150k_celeba-hq
   Results:
   - Dataset: CELEBA
     Metrics:
       PSNR: 25.2319
       SSIM: 0.7422
     Task: Dic
   Weights: https://download.openmmlab.com/mmediting/restorers/dic/dic_x8c48b6_g4_150k_CelebAHQ_20210611-5d3439ca.pth
-- Config: configs/dic/dic_gan-x8c48b6_500k-4xb2_celeba-hq.py
+- Config: configs/dic/dic_gan-x8c48b6_4xb2-500k_celeba-hq.py
   In Collection: DIC
   Metadata:
     GPUs: 4 (Tesla PG503-216)
     Training Data: CELEBA
-  Name: dic_gan-x8c48b6_500k-4xb2_celeba-hq
+  Name: dic_gan-x8c48b6_4xb2-500k_celeba-hq
   Results:
   - Dataset: CELEBA
     Metrics:

configs/dim/metafile.yml

@@ -7,12 +7,12 @@ Collections:
   - https://arxiv.org/abs/1703.03872
   README: configs/dim/README.md
 Models:
-- Config: configs/dim/dim_stage1-v16_1000k-1xb1_comp1k.py
+- Config: configs/dim/dim_stage1-v16_1xb1-1000k_comp1k.py
   In Collection: DIM
   Metadata:
     GPUs: '1'
     Training Data: COMP1K
-  Name: dim_stage1-v16_1000k-1xb1_comp1k
+  Name: dim_stage1-v16_1xb1-1000k_comp1k
   Results:
   - Dataset: COMP1K
     Metrics:
@@ -22,12 +22,12 @@ Models:
       SAD: 53.8
     Task: Dim
   Weights: https://download.openmmlab.com/mmediting/mattors/dim/dim_stage1_v16_1x1_1000k_comp1k_SAD-53.8_20200605_140257-979a420f.pth
-- Config: configs/dim/dim_stage2-v16-pln_1000k-1xb1_comp1k.py
+- Config: configs/dim/dim_stage2-v16-pln_1xb1-1000k_comp1k.py
   In Collection: DIM
   Metadata:
     GPUs: '1'
     Training Data: COMP1K
-  Name: dim_stage2-v16-pln_1000k-1xb1_comp1k
+  Name: dim_stage2-v16-pln_1xb1-1000k_comp1k
   Results:
   - Dataset: COMP1K
     Metrics:
@@ -37,12 +37,12 @@ Models:
       SAD: 52.3
     Task: Dim
   Weights: https://download.openmmlab.com/mmediting/mattors/dim/dim_stage2_v16_pln_1x1_1000k_comp1k_SAD-52.3_20200607_171909-d83c4775.pth
-- Config: configs/dim/dim_stage3-v16-pln_1000k-1xb1_comp1k.py
+- Config: configs/dim/dim_stage3-v16-pln_1xb1-1000k_comp1k.py
   In Collection: DIM
   Metadata:
     GPUs: '1'
     Training Data: COMP1K
-  Name: dim_stage3-v16-pln_1000k-1xb1_comp1k
+  Name: dim_stage3-v16-pln_1xb1-1000k_comp1k
   Results:
   - Dataset: COMP1K
     Metrics:

configs/edsr/metafile.yml

@@ -7,12 +7,12 @@ Collections:
   - https://arxiv.org/abs/1707.02921
   README: configs/edsr/README.md
 Models:
-- Config: configs/edsr/edsr_x2c64b16_300k-1xb16_div2k.py
+- Config: configs/edsr/edsr_x2c64b16_1xb16-300k_div2k.py
   In Collection: EDSR
   Metadata:
     GPUs: '1'
     Training Data: DIV2K
-  Name: edsr_x2c64b16_300k-1xb16_div2k
+  Name: edsr_x2c64b16_1xb16-300k_div2k
   Results:
   - Dataset: DIV2K
     Metrics:
@@ -24,12 +24,12 @@ Models:
       Set5 SSIM: 0.9372
     Task: Edsr
   Weights: https://download.openmmlab.com/mmediting/restorers/edsr/edsr_x2c64b16_1x16_300k_div2k_20200604-19fe95ea.pth
-- Config: configs/edsr/edsr_x3c64b16_300k-1xb16_div2k.py
+- Config: configs/edsr/edsr_x3c64b16_1xb16-300k_div2k.py
   In Collection: EDSR
   Metadata:
     GPUs: '1'
     Training Data: DIV2K
-  Name: edsr_x3c64b16_300k-1xb16_div2k
+  Name: edsr_x3c64b16_1xb16-300k_div2k
   Results:
   - Dataset: DIV2K
     Metrics:
@@ -41,12 +41,12 @@ Models:
       Set5 SSIM: 0.8912
     Task: Edsr
   Weights: https://download.openmmlab.com/mmediting/restorers/edsr/edsr_x3c64b16_1x16_300k_div2k_20200608-36d896f4.pth
-- Config: configs/edsr/edsr_x4c64b16_300k-1xb16_div2k.py
+- Config: configs/edsr/edsr_x4c64b16_1xb16-300k_div2k.py
   In Collection: EDSR
   Metadata:
     GPUs: '1'
     Training Data: DIV2K
-  Name: edsr_x4c64b16_300k-1xb16_div2k
+  Name: edsr_x4c64b16_1xb16-300k_div2k
   Results:
   - Dataset: DIV2K
     Metrics:

configs/edvr/metafile.yml

@@ -7,96 +7,96 @@ Collections:
   - https://arxiv.org/abs/1905.02716?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%253A+arxiv%252FQSXk+%2528ExcitingAds%2521+cs+updates+on+arXiv.org%2529
   README: configs/edvr/README.md
 Models:
-- Config: configs/edvr/edvrm_wotsa_600k-8xb4_reds.py
+- Config: configs/edvr/edvrm_wotsa_8xb4-600k_reds.py
   In Collection: EDVR
   Metadata:
     GPUs: '8'
     Training Data: REDS
-  Name: edvrm_wotsa_600k-8xb4_reds
+  Name: edvrm_wotsa_8xb4-600k_reds
   Results:
   - Dataset: REDS
     Metrics:
       PSNR: 30.343
     Task: Edvr
   Weights: https://download.openmmlab.com/mmediting/restorers/edvr/edvrm_wotsa_x4_8x4_600k_reds_20200522-0570e567.pth
-- Config: configs/edvr/edvrm_600k-8xb4_reds.py
+- Config: configs/edvr/edvrm_8xb4-600k_reds.py
   In Collection: EDVR
   Metadata:
     GPUs: '8'
     Training Data: REDS
-  Name: edvrm_600k-8xb4_reds
+  Name: edvrm_8xb4-600k_reds
   Results:
   - Dataset: REDS
     Metrics:
       PSNR: 30.4194
     Task: Edvr
   Weights: https://download.openmmlab.com/mmediting/restorers/edvr/edvrm_x4_8x4_600k_reds_20210625-e29b71b5.pth
-- Config: configs/edvr/edvrl_wotsa-c128b40_lr2e-4-600k-8xb8_reds4.py
+- Config: configs/edvr/edvrl_wotsa-c128b40_8xb8-lr2e-4-600k_reds4.py
   In Collection: EDVR
   Metadata:
     GPUs: 8 (Tesla V100-PCIE-32GB)
     Training Data: REDS
-  Name: edvrl_wotsa-c128b40_lr2e-4-600k-8xb8_reds4
+  Name: edvrl_wotsa-c128b40_8xb8-lr2e-4-600k_reds4
   Results:
   - Dataset: REDS
     Metrics:
       PSNR: 31.001
     Task: Edvr
   Weights: https://download.openmmlab.com/mmediting/restorers/edvr/edvrl_wotsa_c128b40_8x8_lr2e-4_600k_reds4_20211228-d895a769.pth
-- Config: configs/edvr/edvrl_c128b40_lr2e-4-600k-8xb8_reds4.py
+- Config: configs/edvr/edvrl_c128b40_8xb8-lr2e-4-600k_reds4.py
   In Collection: EDVR
   Metadata:
     GPUs: 8 (Tesla V100-PCIE-32GB)
     Training Data: REDS
-  Name: edvrl_c128b40_lr2e-4-600k-8xb8_reds4
+  Name: edvrl_c128b40_8xb8-lr2e-4-600k_reds4
   Results:
   - Dataset: REDS
     Metrics:
       PSNR: 31.0467
     Task: Edvr
   Weights: https://download.openmmlab.com/mmediting/restorers/edvr/edvrl_c128b40_8x8_lr2e-4_600k_reds4_20220104-4509865f.pth
-- Config: configs/edvr/edvrm_wotsa_600k-8xb4_reds.py
+- Config: configs/edvr/edvrm_wotsa_8xb4-600k_reds.py
   In Collection: EDVR
   Metadata:
     GPUs: '8'
     Training Data: REDS
-  Name: edvrm_wotsa_600k-8xb4_reds
+  Name: edvrm_wotsa_8xb4-600k_reds
   Results:
   - Dataset: REDS
     Metrics:
       SSIM: 0.8664
     Task: Edvr
   Weights: https://download.openmmlab.com/mmediting/restorers/edvr/edvrm_wotsa_x4_8x4_600k_reds_20200522-0570e567.pth
-- Config: configs/edvr/edvrm_600k-8xb4_reds.py
+- Config: configs/edvr/edvrm_8xb4-600k_reds.py
   In Collection: EDVR
   Metadata:
     GPUs: '8'
     Training Data: REDS
-  Name: edvrm_600k-8xb4_reds
+  Name: edvrm_8xb4-600k_reds
   Results:
   - Dataset: REDS
     Metrics:
       SSIM: 0.8684
     Task: Edvr
   Weights: https://download.openmmlab.com/mmediting/restorers/edvr/edvrm_x4_8x4_600k_reds_20210625-e29b71b5.pth
-- Config: configs/edvr/edvrl_wotsa-c128b40_lr2e-4-600k-8xb8_reds4.py
+- Config: configs/edvr/edvrl_wotsa-c128b40_8xb8-lr2e-4-600k_reds4.py
   In Collection: EDVR
   Metadata:
     GPUs: 8 (Tesla V100-PCIE-32GB)
     Training Data: REDS
-  Name: edvrl_wotsa-c128b40_lr2e-4-600k-8xb8_reds4
+  Name: edvrl_wotsa-c128b40_8xb8-lr2e-4-600k_reds4
   Results:
   - Dataset: REDS
     Metrics:
       SSIM: 0.8784
     Task: Edvr
   Weights: https://download.openmmlab.com/mmediting/restorers/edvr/edvrl_wotsa_c128b40_8x8_lr2e-4_600k_reds4_20211228-d895a769.pth
-- Config: configs/edvr/edvrl_c128b40_lr2e-4-600k-8xb8_reds4.py
+- Config: configs/edvr/edvrl_c128b40_8xb8-lr2e-4-600k_reds4.py
   In Collection: EDVR
   Metadata:
     GPUs: 8 (Tesla V100-PCIE-32GB)
     Training Data: REDS
-  Name: edvrl_c128b40_lr2e-4-600k-8xb8_reds4
+  Name: edvrl_c128b40_8xb8-lr2e-4-600k_reds4
   Results:
   - Dataset: REDS
     Metrics:

configs/esrgan/metafile.yml

@@ -7,12 +7,12 @@ Collections:
   - https://arxiv.org/abs/1809.00219
   README: configs/esrgan/README.md
 Models:
-- Config: configs/esrgan/esrgan_psnr-x4c64b23g32_1000k-1xb16_div2k.py
+- Config: configs/esrgan/esrgan_psnr-x4c64b23g32_1xb16-1000k_div2k.py
   In Collection: ESRGAN
   Metadata:
     GPUs: '1'
     Training Data: DIV2K
-  Name: esrgan_psnr-x4c64b23g32_1000k-1xb16_div2k
+  Name: esrgan_psnr-x4c64b23g32_1xb16-1000k_div2k
   Results:
   - Dataset: DIV2K
     Metrics:
@@ -24,12 +24,12 @@ Models:
       Set5 SSIM: 0.8559
     Task: Esrgan
   Weights: https://download.openmmlab.com/mmediting/restorers/esrgan/esrgan_psnr_x4c64b23g32_1x16_1000k_div2k_20200420-bf5c993c.pth
-- Config: configs/esrgan/esrgan_x4c64b23g32_400k-1xb16_div2k.py
+- Config: configs/esrgan/esrgan_x4c64b23g32_1xb16-400k_div2k.py
   In Collection: ESRGAN
   Metadata:
     GPUs: '1'
     Training Data: DIV2K
-  Name: esrgan_x4c64b23g32_400k-1xb16_div2k
+  Name: esrgan_x4c64b23g32_1xb16-400k_div2k
   Results:
   - Dataset: DIV2K
     Metrics: