1. 出现错误:
RuntimeError: CUDA error: no kernel image is available for execution on the device
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
可能是由于安装mmcv时算力选择版本不匹配:
2. 出现错误:
mmdet - ERROR - The testing results of the whole dataset is empty.
可能是由于rpn_head的strides没有对应设置,与FPN和网络的结构有关。
版权声明:本文为CSDN博主「羽羊poi」的原创文章,遵循CC 4.0 BY-SA版权协议,转载请附上原文出处链接及本声明。
原文链接:https://blog.csdn.net/weixin_43869938/article/details/122608025
暂无评论