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| title: bread-or-dog | |
| app_file: app.py | |
| sdk: gradio | |
| sdk_version: 4.19.0 | |
| # Fine-Tuning VGG16 to detect bread or dog | |
| See <>. | |
| ## Prerequisites | |
| ```powershell | |
| conda env create -f environment.yml | |
| conda activate fine-tuning-vgg16-bread-or-dog | |
| Invoke-WebRequest -Uri https://raw.githubusercontent.com/anishathalye/imagenet-simple-labels/master/imagenet-simple-labels.json -OutFile ./data/imagenet-simple-labels.json | |
| ``` | |
| ## Demo | |
| ```powershell | |
| # Before Fine-Tuning | |
| python vgg16.py | |
| # After Fine-Tunin | |
| python app.py | |
| ``` | |
| ## Deploy | |
| ```powershell | |
| gradio deploy | |
| ``` | |
| ## References | |
| - [PyTorchの学習済みモデルで画像分類(VGG, ResNetなど) | note.nkmk.me](https://note.nkmk.me/python-pytorch-pretrained-models-image-classification/) | |
| - [PyTorchによるファインチューニングの実装 - 機械学習ともろもろ](https://venoda.hatenablog.com/entry/2020/10/18/014516) | |