Upload folder using huggingface_hub
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- README.md +9 -3
.gitignore
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!input/
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toConvert/
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comparisons/
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!input/
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toConvert/
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comparisons/
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TRAINING_PIPELINE.md
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README.md
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## Install
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```bash
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pip install -r requirements.txt
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```
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Default layers per model: VGG16 `relu4_3`, VGG19 `relu4_4`, ResNet50 `layer4_2`, AlexNet `relu5`, GoogLeNet `inception3b/4c/4d`. Override with `--layers layer1 layer2 ...` as needed.
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##
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```bash
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pip install huggingface_hub
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## Install
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Bring your own env (conda/uv/venv/none) as you prefer:
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```bash
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# using uv (optional)
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uv pip install -r requirements.txt
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# or plain pip
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pip install -r requirements.txt
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```
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Default layers per model: VGG16 `relu4_3`, VGG19 `relu4_4`, ResNet50 `layer4_2`, AlexNet `relu5`, GoogLeNet `inception3b/4c/4d`. Override with `--layers layer1 layer2 ...` as needed.
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## Weights (local + optional Hugging Face)
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Core `.npz` weights live in this repo via LFS. If you want a fresh copy or a variant, optionally pull from Hugging Face:
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```bash
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pip install huggingface_hub
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