Comments (5)
你可以把输入尺寸变小一点,比如416x416,320x320等等,这样你消耗的显存会变小,也许就不会出现这个错误了。
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非常感谢,我把输入尺寸调到320*320时,便可以运行了。但是新的问题出现了,物体检测的位置不正确。
我刚开始使用的是您的yolov3_darknet2caffe.py的代码,在看了#11 这个问题贴之后,我又用了这个帖子#1 中您给的代码 ,但是,还是不能得到正确的输出。请问我应该怎么办?非常感谢。
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I remember the reason of this problem is it has set the output size of 416*416 in yolo_layer.cpp.
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Thanks a lot. I have solved it.
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Thanks a lot. I have solved it.
have you done with the position problem?
I didn't understand your question. Could you tell me in detail, please?
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Related Issues (20)
- 请问如何进行批量测试
- Check failed: error == cudaSuccess (35 vs. 0) CUDA driver version is insufficient for CUDA runtime version HOT 1
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- image im = mat_to_image(mat);
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- 大佬,我的电脑上没有cuda如何将cmake里面的cuda去掉啊 HOT 5
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- How to convert Yolov4-tiny darknet to caffe?
- Segmentation fault (core dumped) HOT 1
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