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bbb2e33599
* 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>
903 B
903 B
Speed
Below are the results of inferring one frame on an RTX 4090 GPU using the native PyTorch framework with torch.compile
:
Model | Parameters(M) | Model Size(MB) | Inference(ms) |
---|---|---|---|
Appearance Feature Extractor | 0.84 | 3.3 | 0.82 |
Motion Extractor | 28.12 | 108 | 0.84 |
Spade Generator | 55.37 | 212 | 7.59 |
Warping Module | 45.53 | 174 | 5.21 |
Stitching and Retargeting Modules | 0.23 | 2.3 | 0.31 |
Note: The values for the Stitching and Retargeting Modules represent the combined parameter counts and total inference time of three sequential MLP networks.