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Scaled-YOLOv4: Scaling Cross Stage Partial Network - The best neural network for object detection (Top1 accuracy on MS COCO dataset)
Scaled YOLO v4 is the most accurate neural network (55.8% AP Mic…
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這幾天嘗試透過yolov4-csp的branch進行COCO 2017 dataset訓練,為了讓yolov4-tiny能過正常訓練,我在[parse_config.py](https://github.com/WongKinYiu/ScaledYOLOv4/blob/yolov4-csp/utils/parse_config.py)中的[supported](https://github.com…
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大神好,我想用自己訓練的yolov4-tiny 在 android-ncnn 檢測目標
以下是我的yolov4-tiny-opt.param
![螢幕快照 2021-01-22 下午7 16 01](https://user-images.githubusercontent.com/41318292/105494958-7f287480-5cf6-11eb-98fa-c077d247163b.…
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What's the difference in pre-trained weights(for example,yolov4-csp.conv.142 and yolov4-csp-swish.conv.164)?
Their model structure is approximate.
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Hi @AlexeyAB @WongKinYiu ,
When I was using yolov4-p5.cfg with yolov4-p5.conv.232 and yolov4-csp-x-swish.cfg with yolov4-csp-x-swish.conv.192 to train my network. The training is stopped after 4000…
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Hi, I converted my Scaled YOLOv4 csp pytorch model which trained on custom datasets to Darknet using this function (https://github.com/WongKinYiu/ScaledYOLOv4/blob/yolov4-csp/models/models.py#L647) f…
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Thank you for your contribution for community with this very good YOLO implementation.
I have converted yolov4-csp.weights file with yolov4-csp.cfg for COCO dataset you published to tensorflow and it…
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- [yolov4-csp-x-swish.cfg](https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/yolov4-csp-x-swish.cfg) - 640x640 - **69.9% mAP@0.5 (51.5% AP@0.5:0.95) - 23(R) FPS / 50(V) FPS** - 221 BFlops …
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Hi
I have a problem when converting my model to a .h5 file using the convert file. I had no problems converting from a model trained with yolov4 so I'm guessing there's some value that i need to cha…
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Hi, very thankful for the invention of yolov4 and this repository, I already trained with yolov4 and got a excellent result.
But this time when I trained with "yolov4-csp", I got a weird chart of m…