Detection failed and got errors

[zlt1991]

Hi, it is a wonderful work!. I'm freshman to the yolo detector, and I encountered some problems while simply using this yolo c++ wrapper.

I complied the source code and no error occurred. Then put my custom data near the darknet, which included *.cfg, *weights, *.name, *.data. However, when I run following command:
./darknet detector test cfg_zlt/zlt.data cfg_zlt/yolo-zlt.cfg backup/yolo-zlt_900.weights data/nfpa/pos-123.jpg

No detection result outputted. It seemed the darknet didn't detect anything. But in fact, I got a correct detection results when used the darcknet compiled from original code.

In addition, I tried to train my custom dataset using your darknet, and got strange outputs like this:

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Region Avg IOU: 0.171883, Class: 1.000000, Obj: 0.001114, No Obj: 0.003235, Avg Recall: 0.250000, count: 8

It crashed after several epochs and the error message was given:
CUDA Error: invalid configuration argument
darknet: /home/zlt/packages/yolo_cpp/src/cuda.cpp:36: void check_error(cudaError_t): Assertion `0' failed.
Aborted (core dumped)

Any suggestions?

[achalshah20]

I am also facing the same issue. Any update?

[wangjhit]

The same error occurred when I trained my dataset. Is there a solution now?