A Python package to generate heatmaps from deep learning models.
Project description
自动提取神经网络的中间层特征 并生成热力图 支持 GPU 加速（可选） 支持 .mat 格式（用于进一步分析） 支持 .png 输出（用于可视化） 可直接 import 在 Python 代码或 Jupyter Notebook 里使用
pip install heatmap_generator
快速开始 from heatmap_generator import HeatmapGenerator
初始化热力图生成器（加载模型）
heatmap_gen = HeatmapGenerator(model_name="rpcanetma9",model_path="/Users/yourname/My_mission/API/RPCANet_Code/heatmap_package/heatmap_generator/result/20240519T07-24-39_rpcanetma9_nudt/best.pkl", use_cuda=True)
生成热力图，保存为 .mat 和 .png
heatmap = heatmap_gen.generate_heatmap( img_path="/Users/yourname/My_mission/API/RPCANet_Code/datasets/NUDT-SIRST/test/images/001101.png", data_name="NUDT-SIRST_test_images_001101", output_mat="/Users/yourname/My_mission/API/RPCANet_Code/heatmap_test_2.20/mat", output_png="/Users/yourname/My_mission/API/RPCANet_Code/heatmap_test_2.20/png" )
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