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按照readme运行test.py文件,对mAP进行eval,得到的检测指标很低,如下图所示。且test.py文件不能选择--show,否则就会报错AttributeError: 'list' object has no attribute 'data',且运行融合图像生成代码,生成的彩色图像很奇怪。数据集用的readme中说的数据集,代码也未进行除数据/权重路径及保存路径外的更改。
可以请问一下是什么原因吗?
python ./tools/test.py --eval mAP 运行结果(检测精度低):
python ./tools/test.py --show --show_dir './results/' 运行结果:
File "./tools/test.py", line 229, in main
outputs = single_gpu_test(model, data_loader, args.show, args.show_dir,
File "D:\ProgramData\anaconda3\envs\python\lib\site-packages\mmdet\apis\test.py", line 36, in single_gpu_test
img_tensor = data['img'][0].data[0]
按照readme运行test.py文件,对mAP进行eval,得到的检测指标很低,如下图所示。且test.py文件不能选择--show,否则就会报错AttributeError: 'list' object has no attribute 'data',且运行融合图像生成代码,生成的彩色图像很奇怪。数据集用的readme中说的数据集,代码也未进行除数据/权重路径及保存路径外的更改。
可以请问一下是什么原因吗?
python ./tools/test.py --eval mAP 运行结果(检测精度低):
python ./tools/test.py --show --show_dir './results/' 运行结果:
File "./tools/test.py", line 229, in main
outputs = single_gpu_test(model, data_loader, args.show, args.show_dir,
File "D:\ProgramData\anaconda3\envs\python\lib\site-packages\mmdet\apis\test.py", line 36, in single_gpu_test
img_tensor = data['img'][0].data[0]
python ./tools/generation_fusion_image.py 运行得到的RGB2HSV空间图片:
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