Closed zldrobit closed 6 years ago
I found the answer in CTPN's repository: "You need a GPU. If you use CUDNN, about 1.5GB free memory is required. If you don't use CUDNN, you will need about 5GB free memory, and the testing time will slightly increase. Therefore, we strongly recommend to use CUDNN." Therefore, I close this issue.
When I ran python demo.py with 1755.jpg, the program terminated and printed: F1201 16:53:36.329907 8940 syncedmem.cpp:58] Check failed: error == cudaSuccess (2 vs. 0) out of memory After searching on the net, the problem seems to be lacking of GPU memory. PS: My video card is 1050 Ti with 4GB RAM.