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Check failed: error == cudaSuccess (2 vs. 0) out of memory #97
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Hi, Have you solved this problem? |
hi have you solved this problem ? |
hi, did you solve this problem? |
@maoyj1998 |
I use this code to extract feature from VG datasets, and I found it was caused by some images with big difference in aspect ratio, for example 281 * 500, faster rcnn will resize the image based on the shorter edge, so making the larger edge too large. |
Have you solved this problem? I will also encounter this problem when running demo.ipynb |
I run demo to extract bounding box features on GTX 2080Ti, but I received this error.
Looking forward to anyone's help
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