Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.
Wei Zhou idealwei
HudsonHuang
/ Pytorch performance guide.md
Last active
March 25, 2020 02:43
Pytorch performance guide
- Using CUDA in correct way：
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确定性卷积：（把所有操作的seed=0，以便重现，会变慢） torch.backends.cudnn.deterministic https://oldpan.me/archives/pytorch-conmon-problem-in-training
添加torch.cuda.get_device_name和torch.cuda.get_device_capability实现如下功能。例：
torch.cuda.get_device_name(0) 'Quadro GP100' torch.cuda.get_device_capability(0) (6, 0)
jin-zhe
/ actionrecognitiondatasets.md
Last active
July 22, 2025 10:52
An overview of action recognition datasets and their detection classes
An overview of recent action recognition datasets and their detection classes
- Action: Atomic low-level movement such as standing up, sitting down, walking, talking etc.
- Activity/event: Higher level occurence then actions such as dining, playing, dancing
- Trimmed video: A short video clip containing event/action/activity of interest
- Untrimmed video: A video clip of arbitrary length potentially containing durations without activities of interest
- Localization: locating an instance of event/action/activity within a video at a spatial or temporal scale
- Spatial localization: Locating the region/area of an instance of action/activity within a video