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OQIF

AI-based Object-level Quantitative inversion for Zanthoxylum Rust Disease Index

For dataset construction, please refer to: Dataset_Construction_for_CoCo_format.ipynb CoCo_format_anno_viewer.ipynb

In order to train the object detection model, please refer to MMDetection:https://github.com/open-mmlab/mmdetection This project only provides paper-related parameters in the mmdet_config folder.

Training and validation Regression_Branch, please refer to the documentation: Train_Regression_Branch_ResNet_18.py Train_Regression_Branch_ResNet_34.py Train_Regression_Branch_ResNet_50.py Train_Regression_Branch_ResNet_101.py Test_Result_Train_Regression_Branch_ResNet.ipynb

For integrated object detection and image regression algorithms for holistic inference, please refer to: Full_Map_Predict.ipynb

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