CLI image classification trainer with Gemini-driven hyperparameters and modern Keras backbones

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  • License: MIT License (MIT)
  • Author: You
  • Tags machine-learning , deep-learning , image-classification , tensorflow , cli , gemini
  • Requires: Python >=3.9
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Project description

classiloom

CLI trainer for image classification. Gemini proposes hyperparameters. Keras backbones (MobileNetV2, EfficientNetB0, ResNet50) or a compact CNN. No database. Artifacts and metrics saved under runs/.

Commands

  • classiloom set gemini_api <token>
  • classiloom set gemini_model <name>
  • classiloom scan <dataset_dir> --out runs
  • classiloom suggest <scan_json> --trials 8 --out runs
  • classiloom train <dataset_dir> <configs_json> --idx 0 --out runs [--mixed-precision] [--fine-tune]
  • classiloom predict <image_path> <model_dir>

Project details

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Avatar for thev1ndu from gravatar.com thev1ndu

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  • License: MIT License (MIT)
  • Author: You
  • Tags machine-learning , deep-learning , image-classification , tensorflow , cli , gemini
  • Requires: Python >=3.9
Classifiers

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