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为什么val.py计算出的mAP50和pycocotools.coco计算出的AP50相差非常大 #13511

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lqh964165950 opened this issue Feb 13, 2025 · 1 comment
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detect Object Detection issues, PR's question Further information is requested

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@lqh964165950 lqh964165950 added the question Further information is requested label Feb 13, 2025
@glenn-jocher glenn-jocher added the detect Object Detection issues, PR's label Feb 13, 2025
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👋 Hello @lqh964165950, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

If this is a 🐛 Bug Report, please provide a minimum reproducible example (MRE) to help us debug it. This should include:

  1. The exact code, commands, and data used to produce the results.
  2. A clear description of the issue and the expected behavior.
  3. Any relevant screenshots, logs, or error messages.

If this is a ❓ Question, please provide as much information as possible, including dataset examples, training logs, and details about how you are performing the evaluation (e.g., parameters, metrics, etc.), so we can better understand the discrepancy you are observing.

Requirements

Python>=3.8.0 with all requirements.txt installed including PyTorch>=1.8. To get started:

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):

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YOLOv5 CI

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training, validation, inference, export, and benchmarks on macOS, Windows, and Ubuntu every 24 hours and on every commit.

An Ultralytics engineer will review your issue soon and provide additional assistance. Thank you for your patience! 😊

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