zh/tasks/detect/ #9845
Replies: 10 comments 16 replies
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Traceback (most recent call last): |
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Does the YOLOv8 pre trained model for object detection support training its own dataset (the dataset format is converted from polygon annotated JSON format to YOLO format) |
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The results of the training are not available, metrics/mAP50(B), metrics/mAP50-95(B),always too small |
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对视频进行检测时,设定参数save=Ture,但是保存的时一个0字节的avi格式视频,我怎样才能顺利的保存视频,而且我能不能用参数指定保存的视频格式? |
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如果我要修改训练时iou的值,我该如何修改呢?我查了好久都查不到正确的修改路径? |
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Can the weight file be converted from .pt format to .pth format? How should it be converted?please teach me.Thank you! |
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Hello, I would like to ask how to use YOLOv8 as the object detector in a top-down paradigm for pose estimation tasks. For example, how can I combine the YOLOv8 network with the HRNet keypoint detection network? How should this be implemented? Thank you. |
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Hello, I am using YOLO11 for multi-class object detection (around 40 categories). Currently, the detection boxes perform well, but the classification accuracy is relatively poor. I would like to ask, what aspects of the network should be improved in order to enhance its classification performance? Thank you. |
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YOLO是否实现了将预测结果导出为x-anylabeling可用的json格式接口? |
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Hello, I would like to use the weight file obtained after modifying the YOLO11 model to provide a checkbox for the top-down pose estimation algorithm. Why can it only run normally under the official weight file(yolo11.pt)? When using the weight of the YOLO11 structure improved by myself, the following error message appears. Please ask what should be done to use the weight file trained by myself. During handling of the above exception, another exception occurred: Traceback (most recent call last): |
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zh/tasks/detect/
YOLOv8 的官方文档,由Ultralytics 提供。了解如何以各种格式训练、验证、预测和导出模型。包括详细的性能统计。
https://docs.ultralytics.com/zh/tasks/detect/
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