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[ModelZoo] Improve some sthv1 related models #1306

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Dec 7, 2021
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[ModelZoo] Improve some sthv1 related models #1306

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903a5b8
improve some sthv1 related models
dreamerlin Dec 3, 2021
1a107a5
update
dreamerlin Dec 5, 2021
cb409ae
update tpn
dreamerlin Dec 6, 2021
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2 changes: 1 addition & 1 deletion configs/recognition/slowfast/README.md
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Expand Up @@ -45,7 +45,7 @@ We present SlowFast networks for video recognition. Our model involves (i) a Slo

|config | resolution | gpus | backbone |pretrain| top1 acc| top5 acc | inference_time(video/s) | gpu_mem(M) | ckpt | log| json|
|:--|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|
|[slowfast_r50_16x8x1_22e_sthv1_rgb](/configs/recognition/slowfast/slowfast_r50_16x8x1_22e_sthv1_rgb.py)|height 100|8|ResNet50|Kinetics400|49.24|78.79|x|9293|[ckpt](https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_16x8x1_22e_sthv1_rgb/slowfast_r50_16x8x1_22e_sthv1_rgb_20210630-53355c16.pth)|[log](https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_16x8x1_22e_sthv1_rgb/20210606_225114.log)|[json](https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_16x8x1_22e_sthv1_rgb/20210606_225114.log.json)|
|[slowfast_r50_16x8x1_22e_sthv1_rgb](/configs/recognition/slowfast/slowfast_r50_16x8x1_22e_sthv1_rgb.py)|height 100|8|ResNet50|Kinetics400|49.67|79.00|x|9293|[ckpt](https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_16x8x1_22e_sthv1_rgb/slowfast_r50_16x8x1_22e_sthv1_rgb_20211202-aaaf9279.pth)|[log](https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_16x8x1_22e_sthv1_rgb/slowfast_r50_16x8x1_22e_sthv1_rgb.log)|[json](https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_16x8x1_22e_sthv1_rgb/slowfast_r50_16x8x1_22e_sthv1_rgb.json)|

:::{note}

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6 changes: 6 additions & 0 deletions configs/recognition/slowfast/README_zh-CN.md
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Expand Up @@ -30,6 +30,12 @@
|[slowfast_r101_8x8x1_256e_kinetics400_rgb](/configs/recognition/slowfast/slowfast_r101_8x8x1_256e_kinetics400_rgb.py) |短边256|8x4| ResNet101 |None|77.90|93.51||25994| [ckpt](https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r101_8x8x1_256e_kinetics400_rgb/slowfast_r101_8x8x1_256e_kinetics400_rgb_20210218-0dd54025.pth) | [log](https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r101_8x8x1_256e_kinetics400_rgb/20210218_121513.log)| [json](https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r101_8x8x1_256e_kinetics400_rgb/20210218_121513.log.json)|
|[slowfast_r152_r50_4x16x1_256e_kinetics400_rgb](/configs/recognition/slowfast/slowfast_r152_r50_4x16x1_256e_kinetics400_rgb.py) |短边256|8x1| ResNet152 + ResNet50 |None|77.13|93.20||10077| [ckpt](https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r152_4x16x1_256e_kinetics400_rgb/slowfast_r152_4x16x1_256e_kinetics400_rgb_20210122-bdeb6b87.pth) | [log](https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r152_4x16x1_256e_kinetics400_rgb/20210122_131321.log)| [json](https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r152_4x16x1_256e_kinetics400_rgb/20210122_131321.log.json)|

### Something-Something V1

|配置文件 | 分辨率 | GPU 数量 | 主干网络 |预训练| top1 准确率| top5 准确率 | 推理时间 (video/s) | GPU 显存占用 (M) | ckpt | log| json|
|:--|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|
|[slowfast_r50_16x8x1_22e_sthv1_rgb](/configs/recognition/slowfast/slowfast_r50_16x8x1_22e_sthv1_rgb.py)|高 100|8|ResNet50|Kinetics400|49.67|79.00|x|9293|[ckpt](https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_16x8x1_22e_sthv1_rgb/slowfast_r50_16x8x1_22e_sthv1_rgb_20211202-aaaf9279.pth)|[log](https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_16x8x1_22e_sthv1_rgb/slowfast_r50_16x8x1_22e_sthv1_rgb.log)|[json](https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_16x8x1_22e_sthv1_rgb/slowfast_r50_16x8x1_22e_sthv1_rgb.json)|

注：

1. 这里的 **GPU 数量** 指的是得到模型权重文件对应的 GPU 个数。默认地，MMAction2 所提供的配置文件对应使用 8 块 GPU 进行训练的情况。
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10 changes: 5 additions & 5 deletions configs/recognition/slowfast/metafile.yml
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Expand Up @@ -206,9 +206,9 @@ Models:
Results:
- Dataset: SthV1
Metrics:
Top 1 Accuracy: 49.24
Top 5 Accuracy: 78.79
Top 1 Accuracy: 49.67
Top 5 Accuracy: 79.00
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
Weights: https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_16x8x1_22e_sthv1_rgb/slowfast_r50_16x8x1_22e_sthv1_rgb_20210630-53355c16.pth
Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_16x8x1_22e_sthv1_rgb/slowfast_r50_16x8x1_22e_sthv1_rgb.json
Training Log: https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_16x8x1_22e_sthv1_rgb/slowfast_r50_16x8x1_22e_sthv1_rgb.log
Weights: https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_16x8x1_22e_sthv1_rgb/slowfast_r50_16x8x1_22e_sthv1_rgb_20211202-aaaf9279.pth
2 changes: 1 addition & 1 deletion configs/recognition/slowonly/README.md
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Expand Up @@ -106,7 +106,7 @@ In data benchmark, we compare two different data preprocessing methods: (1) Resi

|config | gpus | backbone | pretrain | top1 acc| top5 acc | gpu_mem(M) | ckpt | log| json|
|:--|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|
|[slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb](/configs/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb.py)|8|ResNet50|ImageNet|46.63|77.19|7759|[ckpt](https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb/slowonly_r50_8x4x1_64e_sthv1_rgb-34901d23.pth)|[log](https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb/slowonly_r50_8x4x1_64e_sthv1_rgb.log)|[json](https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb/slowonly_r50_8x4x1_64e_sthv1_rgb.json)|
|[slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb](/configs/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb.py)|8|ResNet50|ImageNet|47.76|77.49|7759|[ckpt](https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb_20211202-d034ff12.pth)|[log](https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb.log)|[json](https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb.json)|

:::{note}

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2 changes: 1 addition & 1 deletion configs/recognition/slowonly/README_zh-CN.md
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Expand Up @@ -95,7 +95,7 @@

|配置文件 | GPU 数量 | 主干网络 | 预训练 | top1 准确率| top5 准确率 | GPU 显存占用 (M) | ckpt | log| json|
|:--|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|
|[slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb](/configs/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb.py)|8|ResNet50|ImageNet|46.63|77.19|7759|[ckpt](https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb/slowonly_r50_8x4x1_64e_sthv1_rgb-34901d23.pth)|[log](https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb/slowonly_r50_8x4x1_64e_sthv1_rgb.log)|[json](https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb/slowonly_r50_8x4x1_64e_sthv1_rgb.json)|
|[slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb](/configs/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb.py)|8|ResNet50|ImageNet|47.76|77.49|7759|[ckpt](https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb_20211202-d034ff12.pth)|[log](https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb.log)|[json](https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb.json)|

注：

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10 changes: 5 additions & 5 deletions configs/recognition/slowonly/metafile.yml
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Expand Up @@ -542,9 +542,9 @@ Models:
Results:
- Dataset: SthV1
Metrics:
Top 1 Accuracy: 46.63
Top 5 Accuracy: 77.19
Top 1 Accuracy: 47.76
Top 5 Accuracy: 77.49
Task: Action Recognition
Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb/slowonly_r50_8x4x1_64e_sthv1_rgb.json
Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb/slowonly_r50_8x4x1_64e_sthv1_rgb.log
Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb/slowonly_r50_8x4x1_64e_sthv1_rgb-34901d23.pth
Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb.json
Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb.log
Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb_20211202-d034ff12.pth
4 changes: 2 additions & 2 deletions configs/recognition/tanet/README.md
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Expand Up @@ -36,8 +36,8 @@ Video data is with complex temporal dynamics due to various factors such as came

|config | resolution | gpus | backbone| pretrain | top1 acc (efficient/accurate)| top5 acc (efficient/accurate)| gpu_mem(M) | ckpt | log| json|
|:--|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|
|[tanet_r50_1x1x8_50e_sthv1_rgb](/configs/recognition/tanet/tanet_r50_1x1x8_50e_sthv1_rgb.py)|height 100|8|TANet|ImageNet|47.45/49.69|76.00/77.62|7127|[ckpt](https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x8_50e_sthv1_rgb/tanet_r50_1x1x8_50e_sthv1_rgb_20210630-f4a48609.pth)|[log](https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x8_50e_sthv1_rgb/20210606_205006.log)|[ckpt](https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x8_50e_sthv1_rgb/20210606_205006.log.json)|
|[tanet_r50_1x1x16_50e_sthv1_rgb](/configs/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb.py)|height 100|8|TANet|ImageNet|47.73/50.41|77.31/78.47|7127|[ckpt](https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb/tanet_r50_1x1x16_50e_sthv1_rgb_20210630-7c19303c.pth)|[log](https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb/20210607_155335.log)|[ckpt](https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb/20210607_155335.log.json)|
|[tanet_r50_1x1x8_50e_sthv1_rgb](/configs/recognition/tanet/tanet_r50_1x1x8_50e_sthv1_rgb.py)|height 100|8|TANet|ImageNet|47.34/49.58|75.72/77.31|7127|[ckpt](https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x8_50e_sthv1_rgb/tanet_r50_1x1x8_50e_sthv1_rgb_20210630-f4a48609.pth)|[log](https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x8_50e_sthv1_rgb/20210606_205006.log)|[ckpt](https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x8_50e_sthv1_rgb/20210606_205006.log.json)|
|[tanet_r50_1x1x16_50e_sthv1_rgb](/configs/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb.py)|height 100|8|TANet|ImageNet|49.05/50.91|77.90/79.13|7127|[ckpt](https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb/tanet_r50_1x1x16_50e_sthv1_rgb_20211202-370c2128.pth)|[log](https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb/tanet_r50_1x1x16_50e_sthv1_rgb.log)|[ckpt](https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb/tanet_r50_1x1x16_50e_sthv1_rgb.json)|

:::{note}

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4 changes: 2 additions & 2 deletions configs/recognition/tanet/README_zh-CN.md
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Expand Up @@ -25,8 +25,8 @@

|配置文件 | 分辨率 | GPU 数量 | 主干网络 | 预训练 | top1 准确率 (efficient/accurate) | top5 准确率 (efficient/accurate) | GPU 显存占用 (M)| ckpt | log| json|
|:--|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|
|[tanet_r50_1x1x8_50e_sthv1_rgb](/configs/recognition/tanet/tanet_r50_1x1x8_50e_sthv1_rgb.py)|高 100|8|TANet|ImageNet|47.45/49.69|76.00/77.62|7127|[ckpt](https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x8_50e_sthv1_rgb/tanet_r50_1x1x8_50e_sthv1_rgb_20210630-f4a48609.pth)|[log](https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x8_50e_sthv1_rgb/20210606_205006.log)|[ckpt](https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x8_50e_sthv1_rgb/20210606_205006.log.json)|
|[tanet_r50_1x1x16_50e_sthv1_rgb](/configs/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb.py)|高 100|8|TANet|ImageNet|47.73/50.41|77.31/78.47|7127|[ckpt](https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb/tanet_r50_1x1x16_50e_sthv1_rgb_20210630-7c19303c.pth)|[log](https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb/20210607_155335.log)|[ckpt](https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb/20210607_155335.log.json)|
|[tanet_r50_1x1x8_50e_sthv1_rgb](/configs/recognition/tanet/tanet_r50_1x1x8_50e_sthv1_rgb.py)|高 100|8|TANet|ImageNet|47.34/49.58|75.72/77.31|7127|[ckpt](https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x8_50e_sthv1_rgb/tanet_r50_1x1x8_50e_sthv1_rgb_20210630-f4a48609.pth)|[log](https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x8_50e_sthv1_rgb/20210606_205006.log)|[ckpt](https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x8_50e_sthv1_rgb/20210606_205006.log.json)|
|[tanet_r50_1x1x16_50e_sthv1_rgb](/configs/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb.py)|高 100|8|TANet|ImageNet|49.05/50.91|77.90/79.13|7127|[ckpt](https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb/tanet_r50_1x1x16_50e_sthv1_rgb_20211202-370c2128.pth)|[log](https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb/tanet_r50_1x1x16_50e_sthv1_rgb.log)|[ckpt](https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb/tanet_r50_1x1x16_50e_sthv1_rgb.json)|

注：

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22 changes: 11 additions & 11 deletions configs/recognition/tanet/metafile.yml
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Expand Up @@ -45,10 +45,10 @@ Models:
Results:
- Dataset: SthV1
Metrics:
Top 1 Accuracy: 49.69
Top 1 Accuracy (efficient): 47.45
Top 5 Accuracy: 77.62
Top 5 Accuracy (efficient): 76.0
Top 1 Accuracy: 49.58
Top 1 Accuracy (efficient): 47.34
Top 5 Accuracy: 77.31
Top 5 Accuracy (efficient): 75.72
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
Expand All @@ -70,11 +70,11 @@ Models:
Results:
- Dataset: SthV1
Metrics:
Top 1 Accuracy: 50.41
Top 1 Accuracy (efficient): 47.73
Top 5 Accuracy: 78.47
Top 5 Accuracy (efficient): 77.31
Top 1 Accuracy: 50.91
Top 1 Accuracy (efficient): 49.05
Top 5 Accuracy: 79.13
Top 5 Accuracy (efficient): 77.90
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
Weights: https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb/tanet_r50_1x1x16_50e_sthv1_rgb_20210630-7c19303c.pth
Training Json Log: https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb/tanet_r50_1x1x16_50e_sthv1_rgb.json
Training Log: https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb/tanet_r50_1x1x16_50e_sthv1_rgb.log
Weights: https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb/tanet_r50_1x1x16_50e_sthv1_rgb_20211202-370c2128.pth
2 changes: 1 addition & 1 deletion configs/recognition/tpn/README.md
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Expand Up @@ -37,7 +37,7 @@ Visual tempo characterizes the dynamics and the temporal scale of an action. Mod

|config | resolution | gpus | backbone| pretrain | top1 acc| top5 acc | gpu_mem(M) | ckpt | log| json|
|:--|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|
|[tpn_tsm_r50_1x1x8_150e_sthv1_rgb](/configs/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb.py)|height 100|8x6| ResNet50 | TSM | 50.80 | 79.05 | 8828 |[ckpt](https://download.openmmlab.com/mmaction/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb/tpn_tsm_r50_1x1x8_150e_sthv1_rgb_20210311-28de4cd5.pth) |[log](https://download.openmmlab.com/mmaction/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb/20210311_162636.log)|[json](https://download.openmmlab.com/mmaction/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb/20210311_162636.log.json)|
|[tpn_tsm_r50_1x1x8_150e_sthv1_rgb](/configs/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb.py)|height 100|8x6| ResNet50 | TSM | 51.50 | 79.15 | 8828 |[ckpt](https://download.openmmlab.com/mmaction/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb/tpn_tsm_r50_1x1x8_150e_sthv1_rgb_20211202-c28ed83f.pth) |[log](https://download.openmmlab.com/mmaction/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb/tpn_tsm_r50_1x1x8_150e_sthv1_rgb.log)|[json](https://download.openmmlab.com/mmaction/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb/tpn_tsm_r50_1x1x8_150e_sthv1_rgb.json)|

:::{note}

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2 changes: 1 addition & 1 deletion configs/recognition/tpn/README_zh-CN.md
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Expand Up @@ -26,7 +26,7 @@

|配置文件 | GPU 数量 | 主干网络 | 预训练 | top1 准确率| top5 准确率 | GPU 显存占用 (M) | ckpt | log| json|
|:--|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|
|[tpn_tsm_r50_1x1x8_150e_sthv1_rgb](/configs/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb.py)|height 100|8x6| ResNet50 | TSM | 50.80 | 79.05 | 8828 |[ckpt](https://download.openmmlab.com/mmaction/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb/tpn_tsm_r50_1x1x8_150e_sthv1_rgb_20210311-28de4cd5.pth) |[log](https://download.openmmlab.com/mmaction/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb/20210311_162636.log)|[json](https://download.openmmlab.com/mmaction/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb/20210311_162636.log.json)|
|[tpn_tsm_r50_1x1x8_150e_sthv1_rgb](/configs/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb.py)|height 100|8x6| ResNet50 | TSM | 51.50 | 79.15 | 8828 |[ckpt](https://download.openmmlab.com/mmaction/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb/tpn_tsm_r50_1x1x8_150e_sthv1_rgb_20211202-c28ed83f.pth) |[log](https://download.openmmlab.com/mmaction/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb/tpn_tsm_r50_1x1x8_150e_sthv1_rgb.log)|[json](https://download.openmmlab.com/mmaction/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb/tpn_tsm_r50_1x1x8_150e_sthv1_rgb.json)|

注：

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10 changes: 5 additions & 5 deletions configs/recognition/tpn/metafile.yml
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Expand Up @@ -68,9 +68,9 @@ Models:
Results:
- Dataset: SthV1
Metrics:
Top 1 Accuracy: 50.8
Top 5 Accuracy: 79.05
Top 1 Accuracy: 51.50
Top 5 Accuracy: 79.15
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
Weights: https://download.openmmlab.com/mmaction/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb/tpn_tsm_r50_1x1x8_150e_sthv1_rgb_20210311-28de4cd5.pth
Training Json Log: https://download.openmmlab.com/mmaction/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb/tpn_tsm_r50_1x1x8_150e_sthv1_rgb.json
Training Log: https://download.openmmlab.com/mmaction/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb/tpn_tsm_r50_1x1x8_150e_sthv1_rgb.log
Weights: https://download.openmmlab.com/mmaction/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb/tpn_tsm_r50_1x1x8_150e_sthv1_rgb_20211202-c28ed83f.pth
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