git clone https://github.com/ultralytics/yolov5 # clone cd yolov5 pip install -r requirements.txt # install Environments YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled): Notebooks with fr...
If all you say is "the other two losses are updated slightly in YOLOv5" and that the obj loss (objectness loss) is equal to CIoU then how will others know what the slight update is for YOLOv5 without any paper on it? I have been reading the papers actually but that only tells me ...
我用YOLOX训练自己的数据集的时候一直显示loss_cls: 0.0000, loss_bbox: 0.0000,然后测试的时候会有ERROR The testing results of the whole dataset is empty 请问可能是什么原因?
Based on the information you have provided, it seems that YOLOv8 freezes during the training process. It is important to note that YOLOv8 and YOLOv5 are separate repositories, and we are focused on addressing issues specific to YOLOv8. ...
Hello, I trained YOLOv5_5.0and YOLOv5_6.1 version, there is only one class, why is its class loss 0? Additional No response fyy378 added the question label Nov 23, 2023 Contributor github-actions bot commented Nov 23, 2023 👋 Hello @fyy378, thank you for your interest in YOLOv5 ...
Search before asking I have searched the YOLOv5 issues and discussions and found no similar questions. Question I have question regarding the loss shown in figure below, increasing losses indicates overfitting. However, my classification...
YOLOv5 Component Training Bug When I set the batch size to 16 and tried to generate results.png by calling plot_results() in plots.py, something wrong happened. As the image shows below, there are disorders on the Y-axis of val/box_loss, val/obj_loss and val/cls_loss. And matplotlib...
In YOLOv5, we could use the--single-clsoption to do only object detection. How is this done in YOLOv8? I tried usingsingle_cls, however in my logs, I see loads of warnings saying... ignoring corrupt image/label: Label class 5 exceeds dataset class count 1. Possible class labels are...