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Darknet repository for training YOLOv4 on Google Colab with Custom Dataset

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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...

![003871e0-7462-47c3-ae11-d0993ebbfa54](https://user-images.githubusercontent.com/63666782/132604379-66046af4-496a-4e0b-ad4d-dc3c397a4d1d.png) i want to save all th chart.png even i re-train my model thank you ![chart](https://user-images.githubusercontent.com/63666782/132604360-2af674d9-9111-4180-9448-d470fde8790f.png)

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 ...