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Hi @AlexeyAB,
Do you have any suggestions on how to modify yolov4-csp .cfg to train for small objects? I've been trying to use the modifications suggested for yolov4 but they don't seem to work fo…
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I train YOLOv4-csp with resolution `384x384`,the loss is still greater than 16 after 60000 iterations,while i can get good results in YOLOv4 with `384x384`。I update the latest version of darknet,and t…
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Hello Wong:
First of all, thank you for your help .
I get errors when running train.py
The command is worked.
【python train.py --device 0 **--batch-size 8** --data coco.yaml --cfg yolov4-csp.cfg -…
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Namespace(agnostic_nms=False, augment=False, cfg='models/yolov4-csp.cfg', classes=None, conf_thres=0.4, device='0', img_size=640, iou_thres=0.5, names='data/coco.names', output='inference/output', sav…
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I trained yolov4-csp on COCO2017 dataset. The training setting is exactly same as the instructions in the README.md of yolov4-csp branch. Firstly I tried multiple GPUs training, the final val mAP aft…
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I managed to get training yolov4-csp from the provided .weights working on the yolov4-csp branch https://github.com/WongKinYiu/ScaledYOLOv4/issues/125 but in the yolov4-large branch there is no load_…
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I train YOLOv4-csp with resolution `384x384`,the loss is still greater than 16 after 60000 iterations,while i can get good results in YOLOv4 with `384x384`。I update the latest version of darknet,and t…
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What's their difference?
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When I train the yolov4-csp-swish.cfg (default settings, except setting classes=1 and filters=18 for the previous layer), my loss quickly converges to almost zero. But for the test map calculation I g…
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![image](https://user-images.githubusercontent.com/73242627/110284161-b348c200-8024-11eb-885a-8495416e5d0c.png)
Hello,
As I see in the "yolov4-csp.yaml" file you set the anchors as the image above…