LIU42/FlowerClassify
基于 ResNet 的花卉分类识别系统。
Implements end-to-end training and inference pipelines using PyTorch with ResNet18 backbone, exports models to ONNX format for optimized inference via ONNX Runtime, and provides containerized Flask-based REST API deployment with configurable precision (fp32/fp16) and execution providers. Trained on cleaned, multi-source Kaggle flower datasets using transfer learning from pretrained weights.
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Aug 26, 2025
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