diff --git a/configs/detection/acrn/metafile.yml b/configs/detection/acrn/metafile.yml index fe41d6db10..f0d40187f8 100644 --- a/configs/detection/acrn/metafile.yml +++ b/configs/detection/acrn/metafile.yml @@ -18,7 +18,7 @@ Models: Results: - Dataset: AVA v2.1 Metrics: - - mAP: 27.1 + mAP: 27.1 Task: Spatial Temporal Action Detection Training Json Log: https://download.openmmlab.com/mmaction/detection/acrn/slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava_rgb/slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava_rgb.json Training Log: https://download.openmmlab.com/mmaction/detection/acrn/slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava_rgb/slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava_rgb.log @@ -39,7 +39,7 @@ Models: Results: - Dataset: AVA v2.2 Metrics: - - mAP: 27.8 + mAP: 27.8 Task: Spatial Temporal Action Detection Training Json Log: https://download.openmmlab.com/mmaction/detection/acrn/slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb/slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb.json Training Log: https://download.openmmlab.com/mmaction/detection/acrn/slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb/slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb.log diff --git a/configs/recognition/c3d/metafile.yml b/configs/recognition/c3d/metafile.yml index 3e7a6153ea..5d9986c4fd 100644 --- a/configs/recognition/c3d/metafile.yml +++ b/configs/recognition/c3d/metafile.yml @@ -19,8 +19,8 @@ Models: Results: - Dataset: UCF101 Metrics: - top1 acc: 83.27 - top5 acc: 95.9 + top1 accuracy: 83.27 + top5 accuracy: 95.9 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/c3d/c3d_sports1m_16x1x1_45e_ucf101_rgb/20201021_140429.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/c3d/c3d_sports1m_16x1x1_45e_ucf101_rgb/20201021_140429.log diff --git a/configs/recognition/csn/metafile.yml b/configs/recognition/csn/metafile.yml index d3cd21b877..9d9df53974 100644 --- a/configs/recognition/csn/metafile.yml +++ b/configs/recognition/csn/metafile.yml @@ -19,8 +19,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 80.14 - top5 acc: 94.93 + top1 accuracy: 80.14 + top5 accuracy: 94.93 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/csn/ircsn_ig65m_pretrained_r152_32x2x1_58e_kinetics400_rgb/20200728_031952.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/csn/ircsn_ig65m_pretrained_r152_32x2x1_58e_kinetics400_rgb/20200728_031952.log @@ -42,8 +42,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 82.76 - top5 acc: 95.68 + top1 accuracy: 82.76 + top5 accuracy: 95.68 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/csn/ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_kinetics400_rgb/20200809_053132.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/csn/ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_kinetics400_rgb/20200809_053132.log @@ -63,8 +63,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 77.8 - top5 acc: 92.8 + top1 accuracy: 77.8 + top5 accuracy: 92.8 Task: Action Recognition Weights: https://download.openmmlab.com/mmaction/recognition/csn/vmz/vmz_ipcsn_from_scratch_r152_32x2x1_180e_kinetics400_rgb_20210617-d565828d.pth - Config: configs/recognition/csn/ipcsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_kinetics400_rgb.py @@ -82,8 +82,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 82.5 - top5 acc: 95.3 + top1 accuracy: 82.5 + top5 accuracy: 95.3 Task: Action Recognition Weights: https://download.openmmlab.com/mmaction/recognition/csn/vmz/vmz_ipcsn_ig65m_pretrained_r152_32x2x1_58e_kinetics400_rgb_20210617-c3be9793.pth inference_time(video/s): x @@ -102,8 +102,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 78.8 - top5 acc: 93.5 + top1 accuracy: 78.8 + top5 accuracy: 93.5 Task: Action Recognition Weights: https://download.openmmlab.com/mmaction/recognition/csn/vmz/vmz_ipcsn_sports1m_pretrained_r152_32x2x1_58e_kinetics400_rgb_20210617-3367437a.pth inference_time(video/s): x @@ -122,8 +122,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 76.5 - top5 acc: 92.1 + top1 accuracy: 76.5 + top5 accuracy: 92.1 Task: Action Recognition Weights: https://download.openmmlab.com/mmaction/recognition/csn/vmz/vmz_ircsn_from_scratch_r152_32x2x1_180e_kinetics400_rgb_20210617-5c933ae1.pth inference_time(video/s): x @@ -142,8 +142,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 79.0 - top5 acc: 94.2 + top1 accuracy: 79.0 + top5 accuracy: 94.2 Task: Action Recognition Weights: https://download.openmmlab.com/mmaction/recognition/csn/vmz/vmz_ircsn_ig65m_pretrained_r50_32x2x1_58e_kinetics400_rgb_20210617-86d33018.pth inference_time(video/s): x @@ -162,8 +162,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 78.2 - top5 acc: 93.0 + top1 accuracy: 78.2 + top5 accuracy: 93.0 Task: Action Recognition Weights: https://download.openmmlab.com/mmaction/recognition/csn/vmz/vmz_ircsn_sports1m_pretrained_r152_32x2x1_58e_kinetics400_rgb_20210617-b9b10241.pth inference_time(video/s): x diff --git a/configs/recognition/i3d/metafile.yml b/configs/recognition/i3d/metafile.yml index 711d57a475..07dbc8cacc 100644 --- a/configs/recognition/i3d/metafile.yml +++ b/configs/recognition/i3d/metafile.yml @@ -19,8 +19,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 72.68 - top5 acc: 90.78 + top1 accuracy: 72.68 + top5 accuracy: 90.78 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_32x2x1_100e_kinetics400_rgb/20200614_060456.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_32x2x1_100e_kinetics400_rgb/20200614_060456.log @@ -42,8 +42,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 73.27 - top5 acc: 90.92 + top1 accuracy: 73.27 + top5 accuracy: 90.92 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_256p_32x2x1_100e_kinetics400_rgb/20200725_031555.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_256p_32x2x1_100e_kinetics400_rgb/20200725_031555.log @@ -65,8 +65,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 72.85 - top5 acc: 90.75 + top1 accuracy: 72.85 + top5 accuracy: 90.75 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_video_32x2x1_100e_kinetics400_rgb/20200706_143014.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_video_32x2x1_100e_kinetics400_rgb/20200706_143014.log @@ -88,8 +88,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 72.77 - top5 acc: 90.57 + top1 accuracy: 72.77 + top5 accuracy: 90.57 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_dense_32x2x1_100e_kinetics400_rgb/20200616_230011.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_dense_32x2x1_100e_kinetics400_rgb/20200616_230011.log @@ -111,8 +111,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 73.48 - top5 acc: 91.0 + top1 accuracy: 73.48 + top5 accuracy: 91.0 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_dense_256p_32x2x1_100e_kinetics400_rgb/20200725_031604.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_dense_256p_32x2x1_100e_kinetics400_rgb/20200725_031604.log @@ -134,8 +134,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 72.32 - top5 acc: 90.72 + top1 accuracy: 72.32 + top5 accuracy: 90.72 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_fast_32x2x1_100e_kinetics400_rgb/20200612_233836.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_fast_32x2x1_100e_kinetics400_rgb/20200612_233836.log @@ -157,8 +157,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 73.24 - top5 acc: 90.99 + top1 accuracy: 73.24 + top5 accuracy: 90.99 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_fast_256p_32x2x1_100e_kinetics400_rgb/20200725_031457.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_fast_256p_32x2x1_100e_kinetics400_rgb/20200725_031457.log @@ -180,8 +180,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 74.71 - top5 acc: 91.81 + top1 accuracy: 74.71 + top5 accuracy: 91.81 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb/20200813_034054.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb/20200813_034054.log @@ -203,8 +203,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 73.37 - top5 acc: 91.26 + top1 accuracy: 73.37 + top5 accuracy: 91.26 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_nl_gaussian_r50_32x2x1_100e_kinetics400_rgb/20200813_034909.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_nl_gaussian_r50_32x2x1_100e_kinetics400_rgb/20200813_034909.log @@ -226,8 +226,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 73.92 - top5 acc: 91.59 + top1 accuracy: 73.92 + top5 accuracy: 91.59 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_nl_dot_product_r50_32x2x1_100e_kinetics400_rgb/20200814_044208.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_nl_dot_product_r50_32x2x1_100e_kinetics400_rgb/20200814_044208.log diff --git a/configs/recognition/omnisource/metafile.yml b/configs/recognition/omnisource/metafile.yml index 7f60b1aa47..5561e2aa69 100644 --- a/configs/recognition/omnisource/metafile.yml +++ b/configs/recognition/omnisource/metafile.yml @@ -20,8 +20,8 @@ Models: Results: - Dataset: MiniKinetics Metrics: - top1 acc: 77.4 - top5 acc: 93.6 + top1 accuracy: 77.4 + top5 accuracy: 93.6 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/omnisource/tsn_r50_1x1x8_100e_minikinetics_rgb/baseline/tsn_r50_1x1x8_100e_minikinetics_rgb_20201030.json Training Log: https://download.openmmlab.com/mmaction/recognition/omnisource/tsn_r50_1x1x8_100e_minikinetics_rgb/baseline/tsn_r50_1x1x8_100e_minikinetics_rgb_20201030.log @@ -44,8 +44,8 @@ Models: Results: - Dataset: MiniKinetics Metrics: - top1 acc: 78.0 - top5 acc: 93.6 + top1 accuracy: 78.0 + top5 accuracy: 93.6 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/omnisource/tsn_r50_1x1x8_100e_minikinetics_rgb/googleimage/tsn_r50_1x1x8_100e_minikinetics_googleimage_rgb_20201030.json Training Log: https://download.openmmlab.com/mmaction/recognition/omnisource/tsn_r50_1x1x8_100e_minikinetics_rgb/googleimage/tsn_r50_1x1x8_100e_minikinetics_googleimage_rgb_20201030.log @@ -68,8 +68,8 @@ Models: Results: - Dataset: MiniKinetics Metrics: - top1 acc: 78.6 - top5 acc: 93.6 + top1 accuracy: 78.6 + top5 accuracy: 93.6 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/omnisource/tsn_r50_1x1x8_100e_minikinetics_rgb/webimage/tsn_r50_1x1x8_100e_minikinetics_webimage_rgb_20201030.json Training Log: https://download.openmmlab.com/mmaction/recognition/omnisource/tsn_r50_1x1x8_100e_minikinetics_rgb/webimage/tsn_r50_1x1x8_100e_minikinetics_webimage_rgb_20201030.log @@ -92,8 +92,8 @@ Models: Results: - Dataset: MiniKinetics Metrics: - top1 acc: 80.6 - top5 acc: 95.0 + top1 accuracy: 80.6 + top5 accuracy: 95.0 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/omnisource/tsn_r50_1x1x8_100e_minikinetics_rgb/insvideo/tsn_r50_1x1x8_100e_minikinetics_insvideo_rgb_20201030.json Training Log: https://download.openmmlab.com/mmaction/recognition/omnisource/tsn_r50_1x1x8_100e_minikinetics_rgb/insvideo/tsn_r50_1x1x8_100e_minikinetics_insvideo_rgb_20201030.log @@ -116,8 +116,8 @@ Models: Results: - Dataset: MiniKinetics Metrics: - top1 acc: 78.6 - top5 acc: 93.2 + top1 accuracy: 78.6 + top5 accuracy: 93.2 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/omnisource/tsn_r50_1x1x8_100e_minikinetics_rgb/kineticsraw/tsn_r50_1x1x8_100e_minikinetics_kineticsraw_rgb_20201030.json Training Log: https://download.openmmlab.com/mmaction/recognition/omnisource/tsn_r50_1x1x8_100e_minikinetics_rgb/kineticsraw/tsn_r50_1x1x8_100e_minikinetics_kineticsraw_rgb_20201030.log @@ -140,8 +140,8 @@ Models: Results: - Dataset: MiniKinetics Metrics: - top1 acc: 81.3 - top5 acc: 94.8 + top1 accuracy: 81.3 + top5 accuracy: 94.8 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/omnisource/tsn_r50_1x1x8_100e_minikinetics_rgb/omnisource/tsn_r50_1x1x8_100e_minikinetics_omnisource_rgb_20201030.json Training Log: https://download.openmmlab.com/mmaction/recognition/omnisource/tsn_r50_1x1x8_100e_minikinetics_rgb/omnisource/tsn_r50_1x1x8_100e_minikinetics_omnisource_rgb_20201030.log @@ -164,8 +164,8 @@ Models: Results: - Dataset: MiniKinetics Metrics: - top1 acc: 78.6 - top5 acc: 93.9 + top1 accuracy: 78.6 + top5 accuracy: 93.9 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/omnisource/slowonly_r50_8x8x1_256e_minikinetics_rgb/baseline/slowonly_r50_8x8x1_256e_minikinetics_rgb_20201030.json Training Log: https://download.openmmlab.com/mmaction/recognition/omnisource/slowonly_r50_8x8x1_256e_minikinetics_rgb/baseline/slowonly_r50_8x8x1_256e_minikinetics_rgb_20201030.log @@ -188,8 +188,8 @@ Models: Results: - Dataset: MiniKinetics Metrics: - top1 acc: 80.8 - top5 acc: 95.0 + top1 accuracy: 80.8 + top5 accuracy: 95.0 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/omnisource/slowonly_r50_8x8x1_256e_minikinetics_rgb/googleimage/slowonly_r50_8x8x1_256e_minikinetics_googleimage_rgb_20201030.json Training Log: https://download.openmmlab.com/mmaction/recognition/omnisource/slowonly_r50_8x8x1_256e_minikinetics_rgb/googleimage/slowonly_r50_8x8x1_256e_minikinetics_googleimage_rgb_20201030.log @@ -212,8 +212,8 @@ Models: Results: - Dataset: MiniKinetics Metrics: - top1 acc: 81.3 - top5 acc: 95.2 + top1 accuracy: 81.3 + top5 accuracy: 95.2 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/omnisource/slowonly_r50_8x8x1_256e_minikinetics_rgb/webimage/slowonly_r50_8x8x1_256e_minikinetics_webimage_rgb_20201030.json Training Log: https://download.openmmlab.com/mmaction/recognition/omnisource/slowonly_r50_8x8x1_256e_minikinetics_rgb/webimage/slowonly_r50_8x8x1_256e_minikinetics_webimage_rgb_20201030.log @@ -236,8 +236,8 @@ Models: Results: - Dataset: MiniKinetics Metrics: - top1 acc: 82.4 - top5 acc: 95.6 + top1 accuracy: 82.4 + top5 accuracy: 95.6 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/omnisource/slowonly_r50_8x8x1_256e_minikinetics_rgb/insvideo/slowonly_r50_8x8x1_256e_minikinetics_insvideo_rgb_20201030.json Training Log: https://download.openmmlab.com/mmaction/recognition/omnisource/slowonly_r50_8x8x1_256e_minikinetics_rgb/insvideo/slowonly_r50_8x8x1_256e_minikinetics_insvideo_rgb_20201030.log @@ -260,8 +260,8 @@ Models: Results: - Dataset: MiniKinetics Metrics: - top1 acc: 80.3 - top5 acc: 94.5 + top1 accuracy: 80.3 + top5 accuracy: 94.5 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/omnisource/slowonly_r50_8x8x1_256e_minikinetics_rgb/kineticsraw/slowonly_r50_8x8x1_256e_minikinetics_kineticsraw_rgb_20201030.json Training Log: https://download.openmmlab.com/mmaction/recognition/omnisource/slowonly_r50_8x8x1_256e_minikinetics_rgb/kineticsraw/slowonly_r50_8x8x1_256e_minikinetics_kineticsraw_rgb_20201030.log @@ -284,8 +284,8 @@ Models: Results: - Dataset: MiniKinetics Metrics: - top1 acc: 82.9 - top5 acc: 95.8 + top1 accuracy: 82.9 + top5 accuracy: 95.8 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/omnisource/slowonly_r50_8x8x1_256e_minikinetics_rgb/omnisource/slowonly_r50_8x8x1_256e_minikinetics_omnisource_rgb_20201030.json Training Log: https://download.openmmlab.com/mmaction/recognition/omnisource/slowonly_r50_8x8x1_256e_minikinetics_rgb/omnisource/slowonly_r50_8x8x1_256e_minikinetics_omnisource_rgb_20201030.log @@ -306,8 +306,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 73.6 - top5 acc: 91.0 + top1 accuracy: 73.6 + top5 accuracy: 91.0 Task: Action Recognition Weights: https://download.openmmlab.com/mmaction/recognition/tsn/omni/tsn_imagenet_pretrained_r50_omni_1x1x3_kinetics400_rgb_20200926-54192355.pth - Config: configs/recognition/tsn/tsn_r50_1x1x3_100e_kinetics400_rgb.py @@ -326,8 +326,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 75.7 - top5 acc: 91.9 + top1 accuracy: 75.7 + top5 accuracy: 91.9 Task: Action Recognition Weights: https://download.openmmlab.com/mmaction/recognition/tsn/omni/tsn_1G1B_pretrained_r50_omni_1x1x3_kinetics400_rgb_20200926-2863fed0.pth - Config: configs/recognition/slowonly/slowonly_r50_4x16x1_256e_kinetics400_rgb.py @@ -346,8 +346,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 76.8 - top5 acc: 92.5 + top1 accuracy: 76.8 + top5 accuracy: 92.5 Task: Action Recognition Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/omni/slowonly_r50_omni_4x16x1_kinetics400_rgb_20200926-51b1f7ea.pth - Config: configs/recognition/slowonly/slowonly_r101_8x8x1_196e_kinetics400_rgb.py @@ -366,7 +366,7 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 80.4 - top5 acc: 94.4 + top1 accuracy: 80.4 + top5 accuracy: 94.4 Task: Action Recognition Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/omni/slowonly_r101_omni_8x8x1_kinetics400_rgb_20200926-b5dbb701.pth diff --git a/configs/recognition/r2plus1d/metafile.yml b/configs/recognition/r2plus1d/metafile.yml index 53522a50aa..5a61cb3a6c 100644 --- a/configs/recognition/r2plus1d/metafile.yml +++ b/configs/recognition/r2plus1d/metafile.yml @@ -19,8 +19,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 67.3 - top5 acc: 87.65 + top1 accuracy: 67.3 + top5 accuracy: 87.65 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/r2plus1d/r2plus1d_r34_256p_8x8x1_180e_kinetics400_rgb/20200728_021421.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/r2plus1d/r2plus1d_r34_256p_8x8x1_180e_kinetics400_rgb/20200728_021421.log @@ -42,8 +42,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 67.3 - top5 acc: 87.8 + top1 accuracy: 67.3 + top5 accuracy: 87.8 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/r2plus1d/r2plus1d_r34_video_8x8x1_180e_kinetics400_rgb/20200724_201360.log Training Log: https://download.openmmlab.com/mmaction/recognition/r2plus1d/r2plus1d_r34_video_8x8x1_180e_kinetics400_rgb/20200724_201360.log.json @@ -65,8 +65,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 68.68 - top5 acc: 88.36 + top1 accuracy: 68.68 + top5 accuracy: 88.36 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/r2plus1d/r2plus1d_r34_8x8x1_180e_kinetics400_rgb/r2plus1d_r34_8x8_69.58_88.36.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/r2plus1d/r2plus1d_r34_8x8x1_180e_kinetics400_rgb/r21d_8x8.log @@ -88,8 +88,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 74.6 - top5 acc: 91.59 + top1 accuracy: 74.6 + top5 accuracy: 91.59 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/r2plus1d/r2plus1d_r34_32x2x1_180e_kinetics400_rgb/r2plus1d_r34_32x2_74.6_91.6.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/r2plus1d/r2plus1d_r34_32x2x1_180e_kinetics400_rgb/r21d_32x2.log diff --git a/configs/recognition/slowfast/metafile.yml b/configs/recognition/slowfast/metafile.yml index ac9ff8526b..cae7965667 100644 --- a/configs/recognition/slowfast/metafile.yml +++ b/configs/recognition/slowfast/metafile.yml @@ -19,8 +19,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 74.75 - top5 acc: 91.73 + top1 accuracy: 74.75 + top5 accuracy: 91.73 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_256p_4x16x1_256e_kinetics400_rgb/20200731_151706.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_256p_4x16x1_256e_kinetics400_rgb/20200731_151706.log @@ -42,8 +42,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 74.34 - top5 acc: 91.58 + top1 accuracy: 74.34 + top5 accuracy: 91.58 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_video_4x16x1_256e_kinetics400_rgb/20200812_160237.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_video_4x16x1_256e_kinetics400_rgb/20200812_160237.log @@ -65,8 +65,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 75.64 - top5 acc: 92.3 + top1 accuracy: 75.64 + top5 accuracy: 92.3 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_4x16x1_256e_kinetics400_rgb/20200704_232901.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_4x16x1_256e_kinetics400_rgb/20200704_232901.log @@ -88,8 +88,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 75.61 - top5 acc: 92.34 + top1 accuracy: 75.61 + top5 accuracy: 92.34 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_256p_8x8x1_256e_kinetics400_rgb/20200731_151537.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_256p_8x8x1_256e_kinetics400_rgb/20200731_151537.log @@ -111,8 +111,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 76.94 - top5 acc: 92.8 + top1 accuracy: 76.94 + top5 accuracy: 92.8 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_8x8x1_256e_kinetics400_rgb/20200716_192653.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_8x8x1_256e_kinetics400_rgb/20200716_192653.log @@ -134,8 +134,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 76.69 - top5 acc: 93.07 + top1 accuracy: 76.69 + top5 accuracy: 93.07 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r101_4x16x1_256e_kinetics400_rgb/20210118_133528.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r101_4x16x1_256e_kinetics400_rgb/20210118_133528.log @@ -157,8 +157,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 77.9 - top5 acc: 93.51 + top1 accuracy: 77.9 + top5 accuracy: 93.51 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r101_8x8x1_256e_kinetics400_rgb/20210218_121513.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r101_8x8x1_256e_kinetics400_rgb/20210218_121513.log @@ -180,8 +180,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 77.13 - top5 acc: 93.2 + top1 accuracy: 77.13 + top5 accuracy: 93.2 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r152_4x16x1_256e_kinetics400_rgb/20210122_131321.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r152_4x16x1_256e_kinetics400_rgb/20210122_131321.log @@ -190,21 +190,21 @@ Models: In Collection: SlowFast Metadata: Architecture: ResNet50 + Batch Size: 4 Epochs: 22 FLOPs: 132442627584 Parameters: 34044630 - Batch Size: 4 - Training Data: SthV1 - Training Resources: 8 GPUs Pretrained: Kinetics400 Resolution: height 100 + Training Data: SthV1 + Training Resources: 8 GPUs Modality: RGB Name: slowfast_r50_16x8x1_22e_sthv1_rgb Results: - Dataset: SthV1 Metrics: - top1 acc: 49.24 - top5 acc: 78.79 + top1 accuracy: 49.24 + top5 accuracy: 78.79 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_16x8x1_22e_sthv1_rgb/20210606_225114.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_16x8x1_22e_sthv1_rgb/20210606_225114.log diff --git a/configs/recognition/slowonly/metafile.yml b/configs/recognition/slowonly/metafile.yml index b67b9d9ed8..695d808051 100644 --- a/configs/recognition/slowonly/metafile.yml +++ b/configs/recognition/slowonly/metafile.yml @@ -18,8 +18,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 76.8 - top5 acc: 92.5 + top1 accuracy: 76.8 + top5 accuracy: 92.5 Task: Action Recognition Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/omni/slowonly_r50_omni_4x16x1_kinetics400_rgb_20200926-51b1f7ea.pth - Config: configs/recognition/slowonly/slowonly_r101_8x8x1_196e_kinetics400_rgb.py @@ -38,8 +38,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 76.5 - top5 acc: 92.7 + top1 accuracy: 76.5 + top5 accuracy: 92.7 Task: Action Recognition Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/omni/slowonly_r101_without_omni_8x8x1_kinetics400_rgb_20200926-0c730aef.pth - Config: configs/recognition/slowonly/slowonly_r101_8x8x1_196e_kinetics400_rgb.py @@ -58,8 +58,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 80.4 - top5 acc: 94.4 + top1 accuracy: 80.4 + top5 accuracy: 94.4 Task: Action Recognition Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/omni/slowonly_r101_omni_8x8x1_kinetics400_rgb_20200926-b5dbb701.pth - Config: configs/recognition/slowonly/slowonly_r50_4x16x1_256e_kinetics400_rgb.py @@ -79,8 +79,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 72.76 - top5 acc: 90.51 + top1 accuracy: 72.76 + top5 accuracy: 90.51 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_256p_4x16x1_256e_kinetics400_rgb/20200817_001411.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_256p_4x16x1_256e_kinetics400_rgb/20200817_001411.log @@ -102,8 +102,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 72.9 - top5 acc: 90.82 + top1 accuracy: 72.9 + top5 accuracy: 90.82 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_video_320p_4x16x1_256e_kinetics400_rgb/slowonly_r50_video_320p_4x16x1_256e_kinetics400_rgb_20201014.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_video_320p_4x16x1_256e_kinetics400_rgb/slowonly_r50_video_320p_4x16x1_256e_kinetics400_rgb_20201014.log @@ -125,8 +125,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 74.42 - top5 acc: 91.49 + top1 accuracy: 74.42 + top5 accuracy: 91.49 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_256p_8x8x1_256e_kinetics400_rgb/20200817_003320.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_256p_8x8x1_256e_kinetics400_rgb/20200817_003320.log @@ -148,8 +148,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 73.02 - top5 acc: 90.77 + top1 accuracy: 73.02 + top5 accuracy: 90.77 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_4x16x1_256e_kinetics400_rgb/slowonly_r50_4x16_73.02_90.77.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_4x16x1_256e_kinetics400_rgb/so_4x16.log @@ -171,8 +171,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 74.93 - top5 acc: 91.92 + top1 accuracy: 74.93 + top5 accuracy: 91.92 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_8x8x1_256e_kinetics400_rgb/slowonly_r50_8x8_74.93_91.92.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_8x8x1_256e_kinetics400_rgb/so_8x8.log @@ -194,8 +194,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 73.39 - top5 acc: 91.12 + top1 accuracy: 73.39 + top5 accuracy: 91.12 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_4x16x1_150e_kinetics400_rgb/slowonly_imagenet_pretrained_r50_4x16x1_150e_kinetics400_rgb_20200912.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_4x16x1_150e_kinetics400_rgb/slowonly_imagenet_pretrained_r50_4x16x1_150e_kinetics400_rgb_20200912.log @@ -217,8 +217,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 75.55 - top5 acc: 92.04 + top1 accuracy: 75.55 + top5 accuracy: 92.04 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x8x1_150e_kinetics400_rgb/slowonly_imagenet_pretrained_r50_8x8x1_150e_kinetics400_rgb_20200912.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x8x1_150e_kinetics400_rgb/slowonly_imagenet_pretrained_r50_8x8x1_150e_kinetics400_rgb_20200912.log @@ -240,8 +240,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 74.54 - top5 acc: 91.73 + top1 accuracy: 74.54 + top5 accuracy: 91.73 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb/20210305_152630.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb/20210305_152630.log @@ -263,8 +263,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 76.07 - top5 acc: 92.42 + top1 accuracy: 76.07 + top5 accuracy: 92.42 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/20210308_212250.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/20210308_212250.log @@ -286,8 +286,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 61.79 - top5 acc: 83.62 + top1 accuracy: 61.79 + top5 accuracy: 83.62 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_4x16x1_256e_kinetics400_flow/slowonly_r50_4x16x1_256e_kinetics400_flow_61.8_83.6.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_4x16x1_256e_kinetics400_flow/slowonly_r50_4x16x1_256e_kinetics400_flow_61.8_83.6.log @@ -309,8 +309,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 65.76 - top5 acc: 86.25 + top1 accuracy: 65.76 + top5 accuracy: 86.25 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_8x8x1_256e_kinetics400_flow/slowonly_r50_8x8x1_196e_kinetics400_flow_65.8_86.3.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_8x8x1_256e_kinetics400_flow/slowonly_r50_8x8x1_196e_kinetics400_flow_65.8_86.3.log @@ -332,8 +332,8 @@ Models: Results: - Dataset: Kinetics-600 Metrics: - top1 acc: 77.5 - top5 acc: 93.7 + top1 accuracy: 77.5 + top5 accuracy: 93.7 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_video_8x8x1_256e_kinetics600_rgb/slowonly_r50_video_8x8x1_256e_kinetics600_rgb_20201015.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_video_8x8x1_256e_kinetics600_rgb/slowonly_r50_video_8x8x1_256e_kinetics600_rgb_20201015.log @@ -355,8 +355,8 @@ Models: Results: - Dataset: Kinetics-700 Metrics: - top1 acc: 65.0 - top5 acc: 86.1 + top1 accuracy: 65.0 + top5 accuracy: 86.1 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_video_8x8x1_256e_kinetics700_rgb/slowonly_r50_video_8x8x1_256e_kinetics700_rgb_20201015.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_video_8x8x1_256e_kinetics700_rgb/slowonly_r50_video_8x8x1_256e_kinetics700_rgb_20201015.log @@ -378,8 +378,8 @@ Models: Results: - Dataset: GYM99 Metrics: - mean class acc: 70.2 - top1 acc: 79.3 + mean top1 accuracy: 70.2 + top1 accuracy: 79.3 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_4x16x1_120e_gym99_rgb/slowonly_imagenet_pretrained_r50_4x16x1_120e_gym99_rgb_20201111.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_4x16x1_120e_gym99_rgb/slowonly_imagenet_pretrained_r50_4x16x1_120e_gym99_rgb_20201111.log @@ -401,8 +401,8 @@ Models: Results: - Dataset: GYM99 Metrics: - mean class acc: 71.0 - top1 acc: 80.3 + mean top1 accuracy: 71.0 + top1 accuracy: 80.3 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_kinetics_pretrained_r50_4x16x1_120e_gym99_flow/slowonly_kinetics_pretrained_r50_4x16x1_120e_gym99_flow_20201111.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_kinetics_pretrained_r50_4x16x1_120e_gym99_flow/slowonly_kinetics_pretrained_r50_4x16x1_120e_gym99_flow_20201111.log @@ -424,7 +424,7 @@ Models: Results: - Dataset: Jester Metrics: - top1 acc: 97.2 + top1 accuracy: 97.2 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x8x1_64e_jester_rgb/slowonly_imagenet_pretrained_r50_8x8x1_64e_jester_rgb.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x8x1_64e_jester_rgb/slowonly_imagenet_pretrained_r50_8x8x1_64e_jester_rgb.log @@ -433,20 +433,20 @@ Models: In Collection: SlowOnly Metadata: Architecture: ResNet50 + Batch Size: 8 Epochs: 64 FLOPs: 54859765760 Parameters: 31738995 - Batch Size: 8 + Pretrained: ImageNet Training Data: HMDB51 Training Resources: 8 GPUs - Pretrained: ImageNet Modality: RGB Name: slowonly_imagenet_pretrained_r50_8x4x1_64e_hmdb51_rgb Results: - Dataset: HMDB51 Metrics: - top1 acc: 37.52 - top5 acc: 71.50 + top1 accuracy: 37.52 + top5 accuracy: 71.5 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_hmdb51_rgb/20210605_185256.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_hmdb51_rgb/20210605_185256.log @@ -455,20 +455,20 @@ Models: In Collection: SlowOnly Metadata: Architecture: ResNet50 + Batch Size: 8 Epochs: 40 FLOPs: 54859765760 Parameters: 31738995 - Batch Size: 8 + Pretrained: Kinetics400 Training Data: HMDB51 Training Resources: 8 GPUs - Pretrained: Kinetics400 Modality: RGB Name: slowonly_imagenet_pretrained_r50_8x4x1_64e_hmdb51_rgb Results: - Dataset: HMDB51 Metrics: - top1 acc: 65.95 - top5 acc: 91.05 + top1 accuracy: 65.95 + top5 accuracy: 91.05 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_k400_pretrained_r50_8x4x1_40e_hmdb51_rgb/20210606_010153.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_k400_pretrained_r50_8x4x1_40e_hmdb51_rgb/20210606_010153.log @@ -477,20 +477,20 @@ Models: In Collection: SlowOnly Metadata: Architecture: ResNet50 + Batch Size: 8 Epochs: 64 FLOPs: 54859868160 Parameters: 31841445 - Batch Size: 8 + Pretrained: ImageNet Training Data: UCF101 Training Resources: 8 GPUs - Pretrained: ImageNet Modality: RGB Name: slowonly_imagenet_pretrained_r50_8x4x1_64e_ucf101_rgb Results: - Dataset: UCF101 Metrics: - top1 acc: 71.35 - top5 acc: 89.35 + top1 accuracy: 71.35 + top5 accuracy: 89.35 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_ucf101_rgb/20210605_213503.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_ucf101_rgb/20210605_213503.log @@ -499,20 +499,20 @@ Models: In Collection: SlowOnly Metadata: Architecture: ResNet50 + Batch Size: 8 Epochs: 40 FLOPs: 54859868160 Parameters: 31841445 - Batch Size: 8 + Pretrained: Kinetics400 Training Data: UCF101 Training Resources: 8 GPUs - Pretrained: Kinetics400 Modality: RGB Name: slowonly_k400_pretrained_r50_8x4x1_40e_ucf101_rgb Results: - Dataset: UCF101 Metrics: - top1 acc: 92.78 - top5 acc: 99.42 + top1 accuracy: 92.78 + top5 accuracy: 99.42 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_k400_pretrained_r50_8x4x1_40e_ucf101_rgb/20210606_010231.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_k400_pretrained_r50_8x4x1_40e_ucf101_rgb/20210606_010231.log @@ -521,20 +521,20 @@ Models: In Collection: SlowOnly Metadata: Architecture: ResNet50 + Batch Size: 8 Epochs: 64 FLOPs: 53907910656 Parameters: 31991022 - Batch Size: 8 + Pretrained: ImageNet Training Data: SthV1 Training Resources: 8 GPUs - Pretrained: ImageNet Modality: RGB Name: slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb Results: - Dataset: SthV1 Metrics: - top1 acc: 46.63 - top5 acc: 77.19 + top1 accuracy: 46.63 + top5 accuracy: 77.19 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb/20210605_235410.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb/20210605_235410.log diff --git a/configs/recognition/tanet/metafile.yml b/configs/recognition/tanet/metafile.yml index 1271209772..7f62a3509e 100644 --- a/configs/recognition/tanet/metafile.yml +++ b/configs/recognition/tanet/metafile.yml @@ -19,8 +19,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 76.28 - top5 acc: 92.6 + top1 accuracy: 76.28 + top5 accuracy: 92.6 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_dense_1x1x8_100e_kinetics400_rgb/tanet_r50_dense_1x1x8_100e_kinetics400_rgb_20210219.json Training Log: https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_dense_1x1x8_100e_kinetics400_rgb/tanet_r50_dense_1x1x8_100e_kinetics400_rgb_20210219.log @@ -29,23 +29,23 @@ Models: In Collection: TANet Metadata: Architecture: TANet + Batch Size: 8 Epochs: 50 FLOPs: 32972787840 Parameters: 25127246 - Batch Size: 8 - Training Data: SthV1 - Training Resources: 8 GPUs Pretrained: ImageNet Resolution: height 100 + Training Data: SthV1 + Training Resources: 8 GPUs Modality: RGB Name: tanet_r50_1x1x8_50e_sthv1_rgb Results: - Dataset: SthV1 Metrics: - top1 acc (accurate): 49.69 - top1 acc (efficient): 47.45 - top5 acc (accurate): 77.62 - top5 acc (efficient): 76.00 + top1 accuracy: 49.69 + top1 accuracy (efficient): 47.45 + top5 accuracy: 77.62 + top5 accuracy (efficient): 76.0 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x8_50e_sthv1_rgb/20210606_205006.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x8_50e_sthv1_rgb/20210606_205006.log @@ -54,23 +54,23 @@ Models: In Collection: TANet Metadata: Architecture: TANet + Batch Size: 8 Epochs: 50 FLOPs: 65946542336 Parameters: 25134670 - Batch Size: 8 - Training Data: SthV1 - gpus: 4 Pretrained: ImageNet Resolution: height 100 + Training Data: SthV1 + gpus: 4 Modality: RGB Name: tanet_r50_1x1x16_50e_sthv1_rgb Results: - Dataset: SthV1 Metrics: - top1 acc (accurate): 50.41 - top1 acc (efficient): 47.73 - top5 acc (accurate): 78.47 - top5 acc (efficient): 77.31 + top1 accuracy: 50.41 + top1 accuracy (efficient): 47.73 + top5 accuracy: 78.47 + top5 accuracy (efficient): 77.31 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb/20210607_155335.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb/20210607_155335.log diff --git a/configs/recognition/tin/metafile.yml b/configs/recognition/tin/metafile.yml index 0c8bf63c62..ae026f9009 100644 --- a/configs/recognition/tin/metafile.yml +++ b/configs/recognition/tin/metafile.yml @@ -19,8 +19,8 @@ Models: Results: - Dataset: SthV1 Metrics: - top1 acc: 44.25 - top5 acc: 73.94 + top1 accuracy: 44.25 + top5 accuracy: 73.94 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tin/tin_r50_1x1x8_40e_sthv1_rgb/20200729_034132.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tin/tin_r50_1x1x8_40e_sthv1_rgb/20200729_034132.log @@ -42,8 +42,8 @@ Models: Results: - Dataset: SthV2 Metrics: - top1 acc: 56.7 - top5 acc: 83.62 + top1 accuracy: 56.7 + top5 accuracy: 83.62 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tin/tin_r50_1x1x8_40e_sthv2_rgb/20200912_225451.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tin/tin_r50_1x1x8_40e_sthv2_rgb/20200912_225451.log @@ -65,8 +65,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 70.89 - top5 acc: 89.89 + top1 accuracy: 70.89 + top5 accuracy: 89.89 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tin/tin_tsm_finetune_r50_1x1x8_50e_kinetics400_rgb/20200809_142447.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tin/tin_tsm_finetune_r50_1x1x8_50e_kinetics400_rgb/20200809_142447.log diff --git a/configs/recognition/tpn/metafile.yml b/configs/recognition/tpn/metafile.yml index c028d1c8d3..8707ab0426 100644 --- a/configs/recognition/tpn/metafile.yml +++ b/configs/recognition/tpn/metafile.yml @@ -19,8 +19,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 73.1 - top5 acc: 91.03 + top1 accuracy: 73.1 + top5 accuracy: 91.03 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tpn/tpn_slowonly_r50_8x8x1_150e_kinetics_rgb/20200910_134330.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tpn/tpn_slowonly_r50_8x8x1_150e_kinetics_rgb/20200910_134330.log @@ -42,8 +42,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 76.2 - top5 acc: 92.44 + top1 accuracy: 76.2 + top5 accuracy: 92.44 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tpn/tpn_imagenet_pretrained_slowonly_r50_8x8x1_150e_kinetics_rgb/20200923_151919.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tpn/tpn_imagenet_pretrained_slowonly_r50_8x8x1_150e_kinetics_rgb/20200923_151919.log @@ -65,8 +65,8 @@ Models: Results: - Dataset: SthV1 Metrics: - top1 acc: 50.8 - top5 acc: 79.05 + top1 accuracy: 50.8 + top5 accuracy: 79.05 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb/20210311_162636.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb/20210311_162636.log diff --git a/configs/recognition/trn/metafile.yml b/configs/recognition/trn/metafile.yml index 10890f14de..45f69f2099 100644 --- a/configs/recognition/trn/metafile.yml +++ b/configs/recognition/trn/metafile.yml @@ -18,10 +18,10 @@ Models: Results: - Dataset: SthV1 Metrics: - top1 acc (accurate): 33.88 - top1 acc (efficient): 31.62 - top5 acc (accurate): 62.12 - top5 acc (efficient): 60.01 + top1 accuracy: 33.88 + top1 accuracy (efficient): 31.62 + top5 accuracy: 62.12 + top5 accuracy (efficient): 60.01 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/trn/trn_r50_1x1x8_50e_sthv1_rgb/20210326_103948.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/trn/trn_r50_1x1x8_50e_sthv1_rgb/20210326_103948.log @@ -42,10 +42,10 @@ Models: Results: - Dataset: SthV2 Metrics: - top1 acc (accurate): 47.96 - top1 acc (efficient): 45.14 - top5 acc (accurate): 75.97 - top5 acc (efficient): 73.21 + top1 accuracy: 47.96 + top1 accuracy (efficient): 45.14 + top5 accuracy: 75.97 + top5 accuracy (efficient): 73.21 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/trn/trn_r50_1x1x8_50e_sthv2_rgb/20210326_103951.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/trn/trn_r50_1x1x8_50e_sthv2_rgb/20210326_103951.log diff --git a/configs/recognition/tsm/metafile.yml b/configs/recognition/tsm/metafile.yml index 98ba18f9a2..94df124ed8 100644 --- a/configs/recognition/tsm/metafile.yml +++ b/configs/recognition/tsm/metafile.yml @@ -19,8 +19,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 70.24 - top5 acc: 89.56 + top1 accuracy: 70.24 + top5 accuracy: 89.56 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_kinetics400_rgb/20200607_211800.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_kinetics400_rgb/20200607_211800.log @@ -42,8 +42,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 70.59 - top5 acc: 89.52 + top1 accuracy: 70.59 + top5 accuracy: 89.52 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_256p_1x1x8_50e_kinetics400_rgb/20200725_031623.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_256p_1x1x8_50e_kinetics400_rgb/20200725_031623.log @@ -65,8 +65,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 70.48 - top5 acc: 89.4 + top1 accuracy: 70.48 + top5 accuracy: 89.4 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_gpu_normalize_1x1x8_50e_kinetics400_rgb/tsm_r50_gpu_normalize_1x1x8_50e_kinetics400_rgb_20210219.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_gpu_normalize_1x1x8_50e_kinetics400_rgb/tsm_r50_gpu_normalize_1x1x8_50e_kinetics400_rgb_20210219.log @@ -88,8 +88,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 70.25 - top5 acc: 89.66 + top1 accuracy: 70.25 + top5 accuracy: 89.66 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_video_1x1x8_100e_kinetics400_rgb/tsm_r50_video_2d_1x1x8_50e_kinetics400_rgb.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_video_1x1x8_100e_kinetics400_rgb/tsm_r50_video_2d_1x1x8_50e_kinetics400_rgb.log @@ -111,8 +111,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 72.9 - top5 acc: 90.44 + top1 accuracy: 72.9 + top5 accuracy: 90.44 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_dense_1x1x8_100e_kinetics400_rgb/20200626_213415.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_dense_1x1x8_100e_kinetics400_rgb/20200626_213415.log @@ -134,8 +134,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 73.38 - top5 acc: 91.02 + top1 accuracy: 73.38 + top5 accuracy: 91.02 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_dense_256p_1x1x8_100e_kinetics400_rgb/20200725_032043.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_dense_256p_1x1x8_100e_kinetics400_rgb/20200725_032043.log @@ -157,8 +157,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 72.09 - top5 acc: 90.37 + top1 accuracy: 72.09 + top5 accuracy: 90.37 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x16_50e_kinetics400_rgb/20201011_205356.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x16_50e_kinetics400_rgb/20201011_205356.log @@ -180,8 +180,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 71.89 - top5 acc: 90.73 + top1 accuracy: 71.89 + top5 accuracy: 90.73 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_256p_1x1x16_50e_kinetics400_rgb/20201010_224825.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_256p_1x1x16_50e_kinetics400_rgb/20201010_224825.log @@ -203,8 +203,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 72.03 - top5 acc: 90.25 + top1 accuracy: 72.03 + top5 accuracy: 90.25 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/20200724_120023.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/20200724_120023.log @@ -226,8 +226,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 70.7 - top5 acc: 89.9 + top1 accuracy: 70.7 + top5 accuracy: 89.9 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/20200815_210253.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/20200815_210253.log @@ -249,8 +249,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 71.6 - top5 acc: 90.34 + top1 accuracy: 71.6 + top5 accuracy: 90.34 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_nl_dot_product_r50_1x1x8_50e_kinetics400_rgb/20200723_220442.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_nl_dot_product_r50_1x1x8_50e_kinetics400_rgb/20200723_220442.log @@ -272,8 +272,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 68.46 - top5 acc: 88.64 + top1 accuracy: 68.46 + top5 accuracy: 88.64 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_mobilenetv2_dense_1x1x8_100e_kinetics400_rgb/20210129_024936.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_mobilenetv2_dense_1x1x8_100e_kinetics400_rgb/20210129_024936.log @@ -294,8 +294,8 @@ Models: Results: - Dataset: Diving48 Metrics: - top1 acc: 75.99 - top5 acc: 97.16 + top1 accuracy: 75.99 + top5 accuracy: 97.16 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_video_1x1x8_50e_diving48_rgb/20210426_012424.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_video_1x1x8_50e_diving48_rgb/20210426_012424.log @@ -316,8 +316,8 @@ Models: Results: - Dataset: Diving48 Metrics: - top1 acc: 81.62 - top5 acc: 97.66 + top1 accuracy: 81.62 + top5 accuracy: 97.66 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_video_1x1x16_50e_diving48_rgb/20210426_012823.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_video_1x1x16_50e_diving48_rgb/20210426_012823.log @@ -339,10 +339,10 @@ Models: Results: - Dataset: SthV1 Metrics: - top1 acc (accurate): 47.7 - top1 acc (efficient): 45.58 - top5 acc (accurate): 76.12 - top5 acc (efficient): 75.02 + top1 accuracy: 47.7 + top1 accuracy (efficient): 45.58 + top5 accuracy: 76.12 + top5 accuracy (efficient): 75.02 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_sthv1_rgb/20210203_150227.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_sthv1_rgb/20210203_150227.log @@ -366,10 +366,10 @@ Models: Results: - Dataset: SthV1 Metrics: - top1 acc (accurate): 48.51 - top1 acc (efficient): 47.1 - top5 acc (accurate): 77.56 - top5 acc (efficient): 76.02 + top1 accuracy: 48.51 + top1 accuracy (efficient): 47.1 + top5 accuracy: 77.56 + top5 accuracy (efficient): 76.02 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_flip_1x1x8_50e_sthv1_rgb/20210203_145829.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_flip_1x1x8_50e_sthv1_rgb/20210203_145829.log @@ -393,10 +393,10 @@ Models: Results: - Dataset: SthV1 Metrics: - top1 acc (accurate): 48.9 - top1 acc (efficient): 47.16 - top5 acc (accurate): 77.92 - top5 acc (efficient): 76.07 + top1 accuracy: 48.9 + top1 accuracy (efficient): 47.16 + top5 accuracy: 77.92 + top5 accuracy (efficient): 76.07 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_randaugment_1x1x8_50e_sthv1_rgb/tsm_r50_randaugment_1x1x8_50e_sthv1_rgb.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_randaugment_1x1x8_50e_sthv1_rgb/tsm_r50_randaugment_1x1x8_50e_sthv1_rgb.log @@ -420,10 +420,10 @@ Models: Results: - Dataset: SthV1 Metrics: - top1 acc (accurate): 50.31 - top1 acc (efficient): 47.85 - top5 acc (accurate): 78.18 - top5 acc (efficient): 76.78 + top1 accuracy: 50.31 + top1 accuracy (efficient): 47.85 + top5 accuracy: 78.18 + top5 accuracy (efficient): 76.78 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_flip_randaugment_1x1x8_50e_sthv1_rgb/tsm_r50_flip_randaugment_1x1x8_50e_sthv1_rgb.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_flip_randaugment_1x1x8_50e_sthv1_rgb/tsm_r50_flip_randaugment_1x1x8_50e_sthv1_rgb.log @@ -447,10 +447,10 @@ Models: Results: - Dataset: SthV1 Metrics: - top1 acc (accurate): 49.28 - top1 acc (efficient): 47.62 - top5 acc (accurate): 77.82 - top5 acc (efficient): 76.63 + top1 accuracy: 49.28 + top1 accuracy (efficient): 47.62 + top5 accuracy: 77.82 + top5 accuracy (efficient): 76.63 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x16_50e_sthv1_rgb/20201010_221240.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x16_50e_sthv1_rgb/20201010_221240.log @@ -474,10 +474,10 @@ Models: Results: - Dataset: SthV1 Metrics: - top1 acc (accurate): 48.43 - top1 acc (efficient): 45.72 - top5 acc (accurate): 76.72 - top5 acc (efficient): 74.67 + top1 accuracy: 48.43 + top1 accuracy (efficient): 45.72 + top5 accuracy: 76.72 + top5 accuracy (efficient): 74.67 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r101_1x1x8_50e_sthv1_rgb/20201010_224055.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r101_1x1x8_50e_sthv1_rgb/20201010_224055.log @@ -501,10 +501,10 @@ Models: Results: - Dataset: SthV2 Metrics: - top1 acc (accurate): 61.12 - top1 acc (efficient): 57.86 - top5 acc (accurate): 86.26 - top5 acc (efficient): 84.67 + top1 accuracy: 61.12 + top1 accuracy (efficient): 57.86 + top5 accuracy: 86.26 + top5 accuracy (efficient): 84.67 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_sthv2_rgb/20200912_140737.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_sthv2_rgb/20200912_140737.log @@ -528,10 +528,10 @@ Models: Results: - Dataset: SthV2 Metrics: - top1 acc (accurate): 63.84 - top1 acc (efficient): 60.79 - top5 acc (accurate): 88.3 - top5 acc (efficient): 86.6 + top1 accuracy: 63.84 + top1 accuracy (efficient): 60.79 + top5 accuracy: 88.3 + top5 accuracy (efficient): 86.6 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_sthv2_rgb/20210401_143656.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_sthv2_rgb/20210401_143656.log @@ -555,10 +555,10 @@ Models: Results: - Dataset: SthV2 Metrics: - top1 acc (accurate): 62.04 - top1 acc (efficient): 59.93 - top5 acc (accurate): 87.35 - top5 acc (efficient): 86.1 + top1 accuracy: 62.04 + top1 accuracy (efficient): 59.93 + top5 accuracy: 87.35 + top5 accuracy (efficient): 86.1 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x16_50e_sthv2_rgb/20201010_224215.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x16_50e_sthv2_rgb/20201010_224215.log @@ -582,10 +582,10 @@ Models: Results: - Dataset: SthV2 Metrics: - top1 acc (accurate): 63.19 - top1 acc (efficient): 61.06 - top5 acc (accurate): 87.93 - top5 acc (efficient): 86.66 + top1 accuracy: 63.19 + top1 accuracy (efficient): 61.06 + top5 accuracy: 87.93 + top5 accuracy (efficient): 86.66 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x16_50e_sthv2_rgb/20210331_134458.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x16_50e_sthv2_rgb/20210331_134458.log @@ -609,10 +609,10 @@ Models: Results: - Dataset: SthV2 Metrics: - top1 acc (accurate): 61.51 - top1 acc (efficient): 58.59 - top5 acc (accurate): 86.9 - top5 acc (efficient): 85.07 + top1 accuracy: 61.51 + top1 accuracy (efficient): 58.59 + top5 accuracy: 86.9 + top5 accuracy (efficient): 85.07 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r101_1x1x8_50e_sthv2_rgb/20201010_224100.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r101_1x1x8_50e_sthv2_rgb/20201010_224100.log @@ -636,10 +636,10 @@ Models: Results: - Dataset: SthV1 Metrics: - top1 acc (accurate): 48.49 - top1 acc (efficient): 46.35 - top5 acc (accurate): 76.88 - top5 acc (efficient): 75.07 + top1 accuracy: 48.49 + top1 accuracy (efficient): 46.35 + top5 accuracy: 76.88 + top5 accuracy (efficient): 75.07 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_mixup_1x1x8_50e_sthv1_rgb/tsm_r50_mixup_1x1x8_50e_sthv1_rgb.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_mixup_1x1x8_50e_sthv1_rgb/tsm_r50_mixup_1x1x8_50e_sthv1_rgb.log @@ -663,10 +663,10 @@ Models: Results: - Dataset: SthV1 Metrics: - top1 acc (accurate): 47.46 - top1 acc (efficient): 45.92 - top5 acc (accurate): 76.71 - top5 acc (efficient): 75.23 + top1 accuracy: 47.46 + top1 accuracy (efficient): 45.92 + top5 accuracy: 76.71 + top5 accuracy (efficient): 75.23 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_cutmix_1x1x8_50e_sthv1_rgb/tsm_r50_cutmix_1x1x8_50e_sthv1_rgb.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_cutmix_1x1x8_50e_sthv1_rgb/tsm_r50_cutmix_1x1x8_50e_sthv1_rgb.log @@ -690,8 +690,8 @@ Models: Results: - Dataset: Jester Metrics: - top1 acc (accurate): 97.2 - top1 acc (efficient): 96.5 + top1 accuracy: 97.2 + top1 accuracy (efficient): 96.5 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_jester_rgb/tsm_r50_1x1x8_50e_jester_rgb.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_jester_rgb/tsm_r50_1x1x8_50e_jester_rgb.log @@ -700,20 +700,20 @@ Models: In Collection: TSM Metadata: Architecture: ResNet50 + Batch Size: 12 Epochs: 25 FLOPs: 32959844352 Parameters: 23612531 - Batch Size: 12 + Pretrained: Kinetics400 Training Data: HMDB51 Training Resources: 8 GPUs - Pretrained: Kinetics400 Modality: RGB Name: tsm_k400_pretrained_r50_1x1x8_25e_hmdb51_rgb Results: - Dataset: HMDB51 Metrics: - top1 acc: 72.68 - top5 acc: 92.03 + top1 accuracy: 72.68 + top5 accuracy: 92.03 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_k400_pretrained_r50_1x1x8_25e_hmdb51_rgb/20210605_182554.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_k400_pretrained_r50_1x1x8_25e_hmdb51_rgb/20210605_182554.log @@ -723,20 +723,20 @@ Models: In Collection: TSM Metadata: Architecture: ResNet50 + Batch Size: 6 Epochs: 25 FLOPs: 65919688704 Parameters: 23612531 - Batch Size: 6 + Pretrained: Kinetics400 Training Data: HMDB51 Training Resources: 8 GPUs - Pretrained: Kinetics400 Modality: RGB Name: tsm_k400_pretrained_r50_1x1x16_25e_hmdb51_rgb Results: - Dataset: HMDB51 Metrics: - top1 acc: 74.77 - top5 acc: 93.86 + top1 accuracy: 74.77 + top5 accuracy: 93.86 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_k400_pretrained_r50_1x1x16_25e_hmdb51_rgb/20210605_182505.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_k400_pretrained_r50_1x1x16_25e_hmdb51_rgb/20210605_182505.log @@ -746,20 +746,20 @@ Models: In Collection: TSM Metadata: Architecture: ResNet50 + Batch Size: 12 Epochs: 25 FLOPs: 32960663552 Parameters: 23714981 - Batch Size: 12 + Pretrained: Kinetics400 Training Data: UCF101 Training Resources: 8 GPUs - Pretrained: Kinetics400 Modality: RGB Name: tsm_k400_pretrained_r50_1x1x8_25e_ucf101_rgb Results: - Dataset: UCF101 Metrics: - top1 acc: 94.50 - top5 acc: 99.58 + top1 accuracy: 94.5 + top5 accuracy: 99.58 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_k400_pretrained_r50_1x1x8_25e_ucf101_rgb/20210605_182720.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_k400_pretrained_r50_1x1x8_25e_ucf101_rgb/20210605_182720.log @@ -769,20 +769,20 @@ Models: In Collection: TSM Metadata: Architecture: ResNet50 + Batch Size: 6 Epochs: 25 FLOPs: 65921327104 Parameters: 23714981 - Batch Size: 6 + Pretrained: Kinetics400 Training Data: UCF101 Training Resources: 8 GPUs - Pretrained: Kinetics400 Modality: RGB Name: tsm_k400_pretrained_r50_1x1x16_25e_ucf101_rgb Results: - Dataset: UCF101 Metrics: - top1 acc: 94.58 - top5 acc: 99.37 + top1 accuracy: 94.58 + top5 accuracy: 99.37 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_k400_pretrained_r50_1x1x16_25e_ucf101_rgb/20210605_182720.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_k400_pretrained_r50_1x1x16_25e_ucf101_rgb/20210605_182720.log diff --git a/configs/recognition/tsn/metafile.yml b/configs/recognition/tsn/metafile.yml index fa1d690c41..05a773364f 100644 --- a/configs/recognition/tsn/metafile.yml +++ b/configs/recognition/tsn/metafile.yml @@ -18,8 +18,8 @@ Models: Results: - Dataset: UCF101 Metrics: - top1 acc: 83.03 - top5 acc: 96.78 + top1 accuracy: 83.03 + top5 accuracy: 96.78 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x3_75e_ucf101_rgb/tsn_r50_1x1x3_75e_ucf101_rgb_20201023.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x3_75e_ucf101_rgb/tsn_r50_1x1x3_75e_ucf101_rgb_20201023.log @@ -40,8 +40,8 @@ Models: Results: - Dataset: Diving48 Metrics: - top1 acc: 71.27 - top5 acc: 95.74 + top1 accuracy: 71.27 + top5 accuracy: 95.74 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_diving48_rgb/20210426_014138.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_diving48_rgb/20210426_014138.log @@ -62,8 +62,8 @@ Models: Results: - Dataset: Diving48 Metrics: - top1 acc: 76.75 - top5 acc: 96.95 + top1 accuracy: 76.75 + top5 accuracy: 96.95 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x16_100e_diving48_rgb/20210426_014103.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x16_100e_diving48_rgb/20210426_014103.log @@ -84,8 +84,8 @@ Models: Results: - Dataset: HMDB51 Metrics: - top1 acc: 48.95 - top5 acc: 80.19 + top1 accuracy: 48.95 + top5 accuracy: 80.19 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_imagenet_rgb/20201025_231108.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_imagenet_rgb/20201025_231108.log @@ -106,8 +106,8 @@ Models: Results: - Dataset: HMDB51 Metrics: - top1 acc: 56.08 - top5 acc: 84.31 + top1 accuracy: 56.08 + top5 accuracy: 84.31 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_kinetics400_rgb/20201108_190805.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_kinetics400_rgb/20201108_190805.log @@ -127,8 +127,8 @@ Models: Results: - Dataset: HMDB51 Metrics: - top1 acc: 54.25 - top5 acc: 83.86 + top1 accuracy: 54.25 + top5 accuracy: 83.86 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_mit_rgb/20201112_170135.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_mit_rgb/20201112_170135.log @@ -150,8 +150,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 70.6 - top5 acc: 89.26 + top1 accuracy: 70.6 + top5 accuracy: 89.26 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x3_100e_kinetics400_rgb/20200614_063526.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x3_100e_kinetics400_rgb/20200614_063526.log @@ -173,8 +173,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 70.42 - top5 acc: 89.03 + top1 accuracy: 70.42 + top5 accuracy: 89.03 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_256p_1x1x3_100e_kinetics400_rgb/20200725_031325.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_256p_1x1x3_100e_kinetics400_rgb/20200725_031325.log @@ -196,8 +196,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 70.18 - top5 acc: 89.1 + top1 accuracy: 70.18 + top5 accuracy: 89.1 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_dense_1x1x5_100e_kinetics400_rgb/20200627_105310.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_dense_1x1x5_100e_kinetics400_rgb/20200627_105310.log @@ -219,8 +219,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 70.91 - top5 acc: 89.51 + top1 accuracy: 70.91 + top5 accuracy: 89.51 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x3_100e_kinetics400_rgb/tsn_r50_f3_kinetics400_shortedge_70.9_89.5.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x3_100e_kinetics400_rgb/tsn_r50_f3_kinetics400_shortedge_70.9_89.5.log @@ -242,8 +242,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 55.7 - top5 acc: 79.85 + top1 accuracy: 55.7 + top5 accuracy: 79.85 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x3_110e_kinetics400_flow/tsn_r50_f3_kinetics400_flow_shortedge_55.7_79.9.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x3_110e_kinetics400_flow/tsn_r50_f3_kinetics400_flow_shortedge_55.7_79.9.log @@ -265,8 +265,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 71.8 - top5 acc: 90.17 + top1 accuracy: 71.8 + top5 accuracy: 90.17 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_256p_1x1x8_100e_kinetics400_rgb/20200815_173413.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_256p_1x1x8_100e_kinetics400_rgb/20200815_173413.log @@ -288,8 +288,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 72.41 - top5 acc: 90.55 + top1 accuracy: 72.41 + top5 accuracy: 90.55 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_100e_kinetics400_rgb/tsn_r50_f8_kinetics400_shortedge_72.4_90.6.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_100e_kinetics400_rgb/tsn_r50_f8_kinetics400_shortedge_72.4_90.6.log @@ -311,8 +311,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 57.76 - top5 acc: 80.99 + top1 accuracy: 57.76 + top5 accuracy: 80.99 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_110e_kinetics400_flow/tsn_r50_f8_kinetics400_flow_shortedge_57.8_81.0.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_110e_kinetics400_flow/tsn_r50_f8_kinetics400_flow_shortedge_57.8_81.0.log @@ -334,8 +334,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 71.11 - top5 acc: 90.04 + top1 accuracy: 71.11 + top5 accuracy: 90.04 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_320p_1x1x3_100e_kinetics400_rgb/tsn_r50_video_320p_1x1x3_100e_kinetics400_rgb_20201014.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_320p_1x1x3_100e_kinetics400_rgb/tsn_r50_video_320p_1x1x3_100e_kinetics400_rgb_20201014.log @@ -357,8 +357,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 70.77 - top5 acc: 89.3 + top1 accuracy: 70.77 + top5 accuracy: 89.3 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_dense_1x1x8_100e_kinetics400_rgb/20200606_003901.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_dense_1x1x8_100e_kinetics400_rgb/20200606_003901.log @@ -380,8 +380,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 71.79 - top5 acc: 90.25 + top1 accuracy: 71.79 + top5 accuracy: 90.25 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics400_rgb/tsn_r50_video_2d_1x1x8_100e_kinetics400_rgb.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics400_rgb/tsn_r50_video_2d_1x1x8_100e_kinetics400_rgb.log @@ -403,8 +403,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 70.4 - top5 acc: 89.12 + top1 accuracy: 70.4 + top5 accuracy: 89.12 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_dense_1x1x8_100e_kinetics400_rgb/tsn_r50_video_2d_1x1x8_dense_100e_kinetics400_rgb.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_dense_1x1x8_100e_kinetics400_rgb/tsn_r50_video_2d_1x1x8_dense_100e_kinetics400_rgb.log @@ -426,8 +426,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 73.43 - top5 acc: 91.01 + top1 accuracy: 73.43 + top5 accuracy: 91.01 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/custom_backbones/tsn_rn101_32x4d_320p_1x1x3_100e_kinetics400_rgb.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/custom_backbones/tsn_rn101_32x4d_320p_1x1x3_100e_kinetics400_rgb.log @@ -449,8 +449,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 72.78 - top5 acc: 90.75 + top1 accuracy: 72.78 + top5 accuracy: 90.75 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/custom_backbones/tsn_dense161_320p_1x1x3_100e_kinetics400_rgb/tsn_dense161_320p_1x1x3_100e_kinetics400_rgb.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/custom_backbones/tsn_dense161_320p_1x1x3_100e_kinetics400_rgb/tsn_dense161_320p_1x1x3_100e_kinetics400_rgb.log @@ -471,8 +471,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 73.6 - top5 acc: 91.0 + top1 accuracy: 73.6 + top5 accuracy: 91.0 Task: Action Recognition Weights: https://download.openmmlab.com/mmaction/recognition/tsn/omni/tsn_imagenet_pretrained_r50_omni_1x1x3_kinetics400_rgb_20200926-54192355.pth - Config: configs/recognition/tsn/tsn_r50_1x1x3_100e_kinetics400_rgb.py @@ -491,8 +491,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 73.1 - top5 acc: 90.4 + top1 accuracy: 73.1 + top5 accuracy: 90.4 Task: Action Recognition Weights: https://download.openmmlab.com/mmaction/recognition/tsn/omni/tsn_1G1B_pretrained_r50_without_omni_1x1x3_kinetics400_rgb_20200926-c133dd49.pth - Config: configs/recognition/tsn/tsn_r50_1x1x3_100e_kinetics400_rgb.py @@ -511,8 +511,8 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 75.7 - top5 acc: 91.9 + top1 accuracy: 75.7 + top5 accuracy: 91.9 Task: Action Recognition Weights: https://download.openmmlab.com/mmaction/recognition/tsn/omni/tsn_1G1B_pretrained_r50_omni_1x1x3_kinetics400_rgb_20200926-2863fed0.pth - Config: configs/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics600_rgb.py @@ -532,8 +532,8 @@ Models: Results: - Dataset: Kinetics-600 Metrics: - top1 acc: 74.8 - top5 acc: 92.3 + top1 accuracy: 74.8 + top5 accuracy: 92.3 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics600_rgb/tsn_r50_video_1x1x8_100e_kinetics600_rgb_20201015.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics600_rgb/tsn_r50_video_1x1x8_100e_kinetics600_rgb_20201015.log @@ -555,8 +555,8 @@ Models: Results: - Dataset: Kinetics-700 Metrics: - top1 acc: 61.7 - top5 acc: 83.6 + top1 accuracy: 61.7 + top5 accuracy: 83.6 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics700_rgb/tsn_r50_video_1x1x8_100e_kinetics700_rgb_20201015.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics700_rgb/tsn_r50_video_1x1x8_100e_kinetics700_rgb_20201015.log @@ -578,8 +578,8 @@ Models: Results: - Dataset: SthV1 Metrics: - top1 acc: 18.55 - top5 acc: 44.8 + top1 accuracy: 18.55 + top5 accuracy: 44.8 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_sthv1_rgb/tsn_r50_f8_sthv1_18.1_45.0.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_sthv1_rgb/tsn_sthv1.log @@ -601,8 +601,8 @@ Models: Results: - Dataset: SthV1 Metrics: - top1 acc: 15.77 - top5 acc: 39.85 + top1 accuracy: 15.77 + top5 accuracy: 39.85 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x16_50e_sthv1_rgb/20200614_211932.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x16_50e_sthv1_rgb/20200614_211932.log @@ -624,8 +624,8 @@ Models: Results: - Dataset: SthV2 Metrics: - top1 acc: 32.97 - top5 acc: 63.62 + top1 accuracy: 32.97 + top5 accuracy: 63.62 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_sthv2_rgb/20200915_114139.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_sthv2_rgb/20200915_114139.log @@ -647,8 +647,8 @@ Models: Results: - Dataset: SthV2 Metrics: - top1 acc: 27.21 - top5 acc: 55.84 + top1 accuracy: 27.21 + top5 accuracy: 55.84 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x16_50e_sthv2_rgb/20200917_105855.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x16_50e_sthv2_rgb/20200917_105855.log @@ -670,8 +670,8 @@ Models: Results: - Dataset: MiT Metrics: - top1 acc: 26.84 - top5 acc: 51.6 + top1 accuracy: 26.84 + top5 accuracy: 51.6 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x6_100e_mit_rgb/tsn_r50_f6_mit_26.8_51.6.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x6_100e_mit_rgb/tsn_mit.log @@ -715,8 +715,8 @@ Models: Results: - Dataset: ActivityNet v1.3 Metrics: - top1 acc: 73.93 - top5 acc: 93.44 + top1 accuracy: 73.93 + top5 accuracy: 93.44 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_50e_activitynet_video_rgb/20210228_223327.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_50e_activitynet_video_rgb/20210228_223327.log @@ -738,8 +738,8 @@ Models: Results: - Dataset: ActivityNet v1.3 Metrics: - top1 acc: 76.9 - top5 acc: 94.47 + top1 accuracy: 76.9 + top5 accuracy: 94.47 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_50e_activitynet_clip_rgb/20210217_181313.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_50e_activitynet_clip_rgb/20210217_181313.log @@ -761,8 +761,8 @@ Models: Results: - Dataset: ActivityNet v1.3 Metrics: - top1 acc: 57.51 - top5 acc: 83.02 + top1 accuracy: 57.51 + top5 accuracy: 83.02 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_150e_activitynet_video_flow/tsn_r50_320p_1x1x8_150e_activitynet_video_flow_20200804.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_150e_activitynet_video_flow/tsn_r50_320p_1x1x8_150e_activitynet_video_flow_20200804.log @@ -784,8 +784,8 @@ Models: Results: - Dataset: ActivityNet v1.3 Metrics: - top1 acc: 59.51 - top5 acc: 82.69 + top1 accuracy: 59.51 + top5 accuracy: 82.69 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_150e_activitynet_clip_flow/tsn_r50_320p_1x1x8_150e_activitynet_clip_flow_20200804.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_150e_activitynet_clip_flow/tsn_r50_320p_1x1x8_150e_activitynet_clip_flow_20200804.log @@ -807,7 +807,7 @@ Models: Results: - Dataset: HVU Metrics: - action mAP: 57.5 + mAP: 57.5 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/action/tsn_r18_1x1x8_100e_hvu_action_rgb_20201027.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/action/tsn_r18_1x1x8_100e_hvu_action_rgb_20201027.log @@ -830,7 +830,7 @@ Models: Results: - Dataset: HVU Metrics: - scene mAP: 55.2 + mAP: 55.2 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/scene/tsn_r18_1x1x8_100e_hvu_scene_rgb_20201027.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/scene/tsn_r18_1x1x8_100e_hvu_scene_rgb_20201027.log @@ -853,7 +853,7 @@ Models: Results: - Dataset: HVU Metrics: - object mAP: 45.7 + mAP: 45.7 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/object/tsn_r18_1x1x8_100e_hvu_object_rgb_20201027.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/object/tsn_r18_1x1x8_100e_hvu_object_rgb_20201027.log @@ -876,7 +876,7 @@ Models: Results: - Dataset: HVU Metrics: - event mAP: 63.7 + mAP: 63.7 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/event/tsn_r18_1x1x8_100e_hvu_event_rgb_20201027.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/event/tsn_r18_1x1x8_100e_hvu_event_rgb_20201027.log @@ -899,7 +899,7 @@ Models: Results: - Dataset: HVU Metrics: - concept mAP: 47.5 + mAP: 47.5 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/concept/tsn_r18_1x1x8_100e_hvu_concept_rgb_20201027.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/concept/tsn_r18_1x1x8_100e_hvu_concept_rgb_20201027.log @@ -922,7 +922,7 @@ Models: Results: - Dataset: HVU Metrics: - attribute mAP: 46.1 + mAP: 46.1 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/attribute/tsn_r18_1x1x8_100e_hvu_attribute_rgb_20201027.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/attribute/tsn_r18_1x1x8_100e_hvu_attribute_rgb_20201027.log @@ -943,8 +943,8 @@ Models: Results: - Dataset: Kinetics400 Metrics: - - top1 acc: 77.51 - - top5 acc: 92.92 + top1 accuracy: 77.51 + top5 accuracy: 92.92 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/custom_backbones/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb.json Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/custom_backbones/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb.log diff --git a/configs/recognition/x3d/metafile.yml b/configs/recognition/x3d/metafile.yml index 8e264a3875..0e63bae550 100644 --- a/configs/recognition/x3d/metafile.yml +++ b/configs/recognition/x3d/metafile.yml @@ -17,7 +17,7 @@ Models: - Dataset: Kinetics-400 Metrics: top1 10-view: 72.7 - top1 30-view: 73.2 + top1 accuracy: 73.2 Task: Action Recognition Weights: https://download.openmmlab.com/mmaction/recognition/x3d/facebook/x3d_s_facebook_13x6x1_kinetics400_rgb_20201027-623825a0.pth reference top1 10-view: 73.1 [[SlowFast](https://github.com/facebookresearch/SlowFast/blob/master/MODEL_ZOO.md)] @@ -37,7 +37,7 @@ Models: - Dataset: Kinetics-400 Metrics: top1 10-view: 75.0 - top1 30-view: 75.6 + top1 accuracy: 75.6 Task: Action Recognition Weights: https://download.openmmlab.com/mmaction/recognition/x3d/facebook/x3d_m_facebook_16x5x1_kinetics400_rgb_20201027-3f42382a.pth reference top1 10-view: 75.1 [[SlowFast](https://github.com/facebookresearch/SlowFast/blob/master/MODEL_ZOO.md)] diff --git a/configs/recognition_audio/resnet/metafile.yml b/configs/recognition_audio/resnet/metafile.yml index a13b5fc594..1d7625a9f6 100644 --- a/configs/recognition_audio/resnet/metafile.yml +++ b/configs/recognition_audio/resnet/metafile.yml @@ -15,12 +15,12 @@ Models: Results: - Dataset: Kinetics-400 Metrics: - top1 acc: 19.7 - top1 acc [w. RGB]: 71.5 - top1 acc delta [w. RGB]: 0.39 - top5 acc: 35.75 - top5 acc [w. RGB]: 90.18 - top5 acc delta [w. RGB]: 0.14 + top1 accuracy: 19.7 + top1 accuracy [w. RGB]: 71.5 + top1 accuracy delta [w. RGB]: 0.39 + top5 accuracy: 35.75 + top5 accuracy [w. RGB]: 90.18 + top5 accuracy delta [w. RGB]: 0.14 Task: Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/recognition/audio_recognition/tsn_r18_64x1x1_100e_kinetics400_audio_feature/20201010_144630.log.json Training Log: https://download.openmmlab.com/mmaction/recognition/audio_recognition/tsn_r18_64x1x1_100e_kinetics400_audio_feature/20201010_144630.log diff --git a/configs/skeleton/posec3d/metafile.yml b/configs/skeleton/posec3d/metafile.yml index 24c6e30c70..d2c784d00b 100644 --- a/configs/skeleton/posec3d/metafile.yml +++ b/configs/skeleton/posec3d/metafile.yml @@ -16,7 +16,7 @@ Models: Results: - Dataset: FineGYM Metrics: - - Mean Top-1: 93.7 + mean top1 accuracy: 93.7 Task: Skeleton-based Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/skeleton/posec3d/slowonly_r50_u48_240e_gym_keypoint/slowonly_r50_u48_240e_gym_keypoint.json Training Log: https://download.openmmlab.com/mmaction/skeleton/posec3d/slowonly_r50_u48_240e_gym_keypoint/slowonly_r50_u48_240e_gym_keypoint.log @@ -35,7 +35,7 @@ Models: Results: - Dataset: FineGYM Metrics: - - Mean Top-1: 94.0 + mean top1 accuracy: 94.0 Task: Skeleton-based Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/skeleton/posec3d/slowonly_r50_u48_240e_gym_limb/slowonly_r50_u48_240e_gym_limb.json Training Log: https://download.openmmlab.com/mmaction/skeleton/posec3d/slowonly_r50_u48_240e_gym_limb/slowonly_r50_u48_240e_gym_limb.log @@ -54,7 +54,7 @@ Models: Results: - Dataset: NTU60-XSub Metrics: - - Top-1: 93.7 + top1 accuracy: 93.7 Task: Skeleton-based Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/skeleton/posec3d/slowonly_r50_u48_240e_ntu60_xsub_keypoint/slowonly_r50_u48_240e_ntu60_xsub_keypoint.json Training Log: https://download.openmmlab.com/mmaction/skeleton/posec3d/slowonly_r50_u48_240e_ntu60_xsub_keypoint/slowonly_r50_u48_240e_ntu60_xsub_keypoint.log @@ -73,7 +73,7 @@ Models: Results: - Dataset: NTU60-XSub Metrics: - - Top-1: 93.4 + top1 accuracy: 93.4 Task: Skeleton-based Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/skeleton/posec3d/slowonly_r50_u48_240e_ntu60_xsub_limb/slowonly_r50_u48_240e_ntu60_xsub_limb.json Training Log: https://download.openmmlab.com/mmaction/skeleton/posec3d/slowonly_r50_u48_240e_ntu60_xsub_limb/slowonly_r50_u48_240e_ntu60_xsub_limb.log @@ -92,7 +92,7 @@ Models: Results: - Dataset: NTU120-XSub Metrics: - - Top-1: 86.3 + top1 accuracy: 86.3 Task: Skeleton-based Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/skeleton/posec3d/slowonly_r50_u48_240e_ntu120_xsub_keypoint/slowonly_r50_u48_240e_ntu120_xsub_keypoint.json Training Log: https://download.openmmlab.com/mmaction/skeleton/posec3d/slowonly_r50_u48_240e_ntu120_xsub_keypoint/slowonly_r50_u48_240e_ntu120_xsub_keypoint.log @@ -111,7 +111,7 @@ Models: Results: - Dataset: NTU120-XSub Metrics: - - Top-1: 85.7 + top1 accuracy: 85.7 Task: Skeleton-based Action Recognition Training Json Log: https://download.openmmlab.com/mmaction/skeleton/posec3d/slowonly_r50_u48_240e_ntu120_xsub_limb/slowonly_r50_u48_240e_ntu120_xsub_limb.json Training Log: https://download.openmmlab.com/mmaction/skeleton/posec3d/slowonly_r50_u48_240e_ntu120_xsub_limb/slowonly_r50_u48_240e_ntu120_xsub_limb.log