Instructions to use codeShare/comic-panel-extract with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use codeShare/comic-panel-extract with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://codeShare/comic-panel-extract") - Notebooks
- Google Colab
- Kaggle
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README.md
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## 📂 Related Resources
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- **GitHub Repository**
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→ *Coming soon* (will be linked here once published)
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- **Google Colab Notebook** (ready-to-run version with your `comics.zip`):
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[Open in Colab](https://colab.research.google.com/) *(paste the full notebook code from our previous conversation)*
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- **Dataset used for training**: Custom comic panel dataset (Western + Manga)
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## 📂 Related Resources
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- **GitHub Repository** [full training + inference code + dataset scripts):
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→ *Coming soon* (will be linked here once published)](https://github.com/pedrovgs/DeepPanel)
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- **Google Colab Notebook** (ready-to-run version with your `comics.zip`):
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[Open in Colab](https://colab.research.google.com/) *(paste the full notebook code from our previous conversation)*
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- **Dataset used for training**: Custom comic panel dataset (Western + Manga)
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