Comments (1)
@ghost hello,
Thank you for your enthusiasm, but it appears that your comment is unrelated to the YOLOv5 project. This repository is dedicated to the development and support of the YOLOv5 object detection model, and we focus on issues, feature requests, and discussions pertinent to that scope.
If you have any questions or need assistance related to YOLOv5, please feel free to provide more details, and we'll be happy to help. For any other topics, we recommend reaching out to the appropriate forums or communities.
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Related Issues (20)
- A Problem Concerning the Custom Dataset for Object Detection Using YOLOv5 HOT 7
- The necessity of improving the visual images of the detect results HOT 10
- 运行 python detect.py --source ./data/images/ --weights weights/yolov5s.pt 报错 HOT 3
- what's going on yolo v5? HOT 4
- Model distillation for yolov5 HOT 20
- 'list' object has no attribute 'shape' HOT 3
- Train in colab and detect in my computer HOT 3
- YOLOv5 receptive range size HOT 8
- Yolov5s versus Yolov5s-cls HOT 4
- Edition!!**$950 Free Cash App Money Generator 2024 No Human Verification HOT 2
- Edition!!**FREE Xbox Gift Card Codes [Updated] 50+ New Redeem Code 2024✔How to get Xbox Gift Cards FOR FREE HOT 1
- How can I test/evaluate my custom model and custom dataset when my model is loaded via torch.hub? HOT 5
- how to convert pt to onnx to trt HOT 7
- I observe that the validation phase is much slower than the training phase on large validation sets and multi-GPU machines HOT 6
- neck HOT 4
- How to increase FPS camera capture inside the Raspberry Pi 4B 8GB with best.onnx model HOT 13
- Mosaic HOT 5
- how to get mIoU and mPA in yolov5_seg? HOT 5
- combining two or more weights into one HOT 5
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