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* feat: update * feat: update * feat: update * feat: update * feat: update * feat: update * feat: update * chore: refactor * chore: refactor * chore: refactor * fix: video cropping * chore: refactor * chore: remove timm * merge: animal support (#258) * feat: update * feat: update * feat: update * feat: update * feat: update * feat: update * feat: update * feat: update * feat: update * feat: update * feat: update --------- Co-authored-by: zhangdingyun <zhangdingyun@kuaishou.com> feat: update feat: update chore: stage * chore: stage * chore: refactor * chore: refactor * doc: update readme * doc: update readme * doc: update readme * chore: refactor * doc: update * doc: update * doc: update * doc: update * chore: rename * doc: update * doc: update * chore: refactor * doc: update * chore: refactor * chore: refactor * doc: update * chore: update clip feature * chore: add landmark option * doc: update * doc: update * doc: update * doc: update * doc: update * doc: update * doc: update * doc: update * doc: update * doc: update * doc: update * doc: update --------- Co-authored-by: zhangdingyun <zhangdingyun@kuaishou.com> Co-authored-by: zzzweakman <1819489045@qq.com>
14 lines
903 B
Markdown
14 lines
903 B
Markdown
### Speed
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Below are the results of inferring one frame on an RTX 4090 GPU using the native PyTorch framework with `torch.compile`:
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| Model | Parameters(M) | Model Size(MB) | Inference(ms) |
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|-----------------------------------|:-------------:|:--------------:|:-------------:|
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| Appearance Feature Extractor | 0.84 | 3.3 | 0.82 |
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| Motion Extractor | 28.12 | 108 | 0.84 |
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| Spade Generator | 55.37 | 212 | 7.59 |
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| Warping Module | 45.53 | 174 | 5.21 |
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| Stitching and Retargeting Modules | 0.23 | 2.3 | 0.31 |
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*Note: The values for the Stitching and Retargeting Modules represent the combined parameter counts and total inference time of three sequential MLP networks.*
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