darknet_for_colab
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Darknet repository for training YOLOv4 on Google Colab with Custom Dataset
While started training ``` !./darknet detector train data/yolov4.data cfg/yolov4_custom_train.cfg yolov4.conv.137 -dont_show -map ``` I got this error. ``` CUDA status Error: file: ./src/dark_cuda.c : () : line: 454 : build...
 i want to save all th chart.png even i re-train my model thank you 
while training ``` !./darknet detector train data/yolov4.data cfg/yolov4_custom_train.cfg yolov4.conv.137 -dont_show -map``` I get this. Any thoughts on why this is happening? ``` CUDA allocate done! Loaded: 5.100706 seconds CUDA status...
How can I make the darknet_video.py produce higher quality video? What should I modify?
Support for 'compute_30' is removed from CUDA version 10.2. So it is unable to compile for this architecture.
Hi, I trained YOLOv4 with my custom dataset. Then I want to test it, and It creates the predictions.png file correctly with the box in every object but without label...
This solves the error while compiling #2 ...