Alexey

@toplinuxsir Did you try to train with `new_coords=0` for each [yolo] layer? Does it help? Or did you try to train with `optimized_memory=0` ? Does it help?

@toplinuxsir I did some fixes. Try to download the latest Darknet version. And use for each [yolo] layer ``` [yolo] new_coords=1 scale_x_y = 2.0 ```

@toplinuxsir * For `yolov4-csp.cfg` use (140 MB): https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v4_pre/yolov4-csp.conv.142 * For `yolov4x-mish.cfg` use (264 MB): https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v4_pre/yolov4x-mish.conv.166 All these files are in the assets at the bottom: https://github.com/AlexeyAB/darknet/releases/tag/darknet_yolo_v4_pre ---- > 2. which...

@toplinuxsir * I fixed an issue with letter_box for `yolov4x-mish.cfg` and `yolov4csp.cfg`, TTry to download the latest Darknet version, recompile and check the mAP by using `./darknet detector map ......

@toplinuxsir > What width= and height= do you use in cfg-file? And what resolution of your images? (width=640 height=640 , image resuolution: 5496x3672) Just be sure that you can see...

@toplinuxsir * mAP is 0% for 1000% iterations, and is 5% for 2000 iterations. * But it seems that training with `new_coords=0` is better than with `new_coords=1` yolov4-csp.cfg (320x320) b=32...

@mwindowshz Hi, About output explain: https://timebutt.github.io/static/understanding-yolov2-training-output/ > Also wanted to ask, Can I use images that have several classes in them, in your case an image with a bird and...

Hi, > Is there a way to set number of iterations per class? From running the code I found that the images are passed in random order, for better training....

@ivanevgenyev You should have empty .txt-file for these images.

* Check your training dataset using this tool: https://github.com/AlexeyAB/Yolo_mark * You should use `yolo-voc.2.0.cfg` instead of `yolo-voc.cfg` if you use this repo: https://github.com/AlexeyAB/darknet * Do you use this https://github.com/AlexeyAB/darknet repo...