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Cant start training: TypeError: Descriptors cannot not be created directly. #8012
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👋 Hello @UnglvKitDe, 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 screenshots and minimum viable code to reproduce your issue, otherwise we can not help you. If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available. For business inquiries or professional support requests please visit https://ultralytics.com or email support@ultralytics.com. RequirementsPython>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started: git clone https://github.com/ultralytics/yolov5 # clone
cd yolov5
pip install -r requirements.txt # install EnvironmentsYOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
StatusIf this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training (train.py), validation (val.py), inference (detect.py) and export (export.py) on macOS, Windows, and Ubuntu every 24 hours and on every commit. |
hello, thanks for great work.but, i try to train my code,there some error is coming,
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Hi, i have same problem like [yichanshiwoa]. Detection is working but train not. I'am using Windows 10. Same error when start
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@UnglvKitDe @ar2di2-75 @yichanshiwoa good news 😃! Your original issue may now be fixed ✅ in PR #8017. To receive this update:
Thank you for spotting this issue and informing us of the problem. Please let us know if this update resolves the issue for you, and feel free to inform us of any other issues you discover or feature requests that come to mind. Happy trainings with YOLOv5 🚀! |
Thanks @glenn-jocher, now is working. |
i have solve this problem by using following way: |
pip uninstall protobuf |
Seems like this is broken again due to the dependabot updating protobuf's version in #8346 |
@kwassholm thanks for confirming, I was wondering about this. Looks like we need to revert the dependabot PR #8346 |
Thanks @glenn-jocher, pip uninstall protobuf Everything work well |
@kwassholm @The-Quantum good news 😃! Your original issue may now be fixed ✅ in PR #8741. This update reverts dependabot changes and sets protobuf<=3.20.1 in requirements.txt. To receive this update:
Thank you for spotting this issue and informing us of the problem. Please let us know if this update resolves the issue for you, and feel free to inform us of any other issues you discover or feature requests that come to mind. Happy trainings with YOLOv5 🚀! |
I am still running into this issue even with protobuf version 3.20.1. Verified that I have the latest code pulled from the repo. |
@vishwakaria can you send us your EnvironmentsYOLOv5 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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Resolve ultralytics#8012 (again)
Search before asking
YOLOv5 Component
No response
Bug
Hi,
first of all: Thx for your great work! This repo looks really interesting. But unfortunately I can not start the training.
I use RedHat 4 with conda. I created the conda env and then installed the packages with pip install -r requirements.txt.
python3 train.py --img 640 --batch 16 --data coco128.yaml --weights yolov5m6.pt
Environment
YOLOv5 + pytorch 1.11 cuda 11.6
OS: Red Hat 4
python 3.8
Minimal Reproducible Example
python3 train.py --img 640 --batch 16 --data coco128.yaml --weights yolov5m6.pt
Additional
No response
Are you willing to submit a PR?
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