模型分为indoor室内和outdoor室外这两套场景的,起初我是用opencv-dnn做推理,可是输出结果图是全黑的。 换做使用onnxruntime做推理,输出结果图是合理的。
onnx文件在百度云盘,链接:https://pan.baidu.com/s/10O6IQ7bEMIPrM4Mzt349cw 提取码:wwh4
训练源码在 https://github.com/YuZheng9/C2PNet 它是中了cvpr2023文章
This project forked from hpc203/c2pnet-onnxrun
使用onnxruntime部署C2PNet图像去雾,包含C++和Python两个版本的程序
模型分为indoor室内和outdoor室外这两套场景的,起初我是用opencv-dnn做推理,可是输出结果图是全黑的。 换做使用onnxruntime做推理,输出结果图是合理的。
onnx文件在百度云盘,链接:https://pan.baidu.com/s/10O6IQ7bEMIPrM4Mzt349cw 提取码:wwh4
训练源码在 https://github.com/YuZheng9/C2PNet 它是中了cvpr2023文章
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