how i can see the progress of a train execution in jupyter notebook?

amperesz commented 1 year ago

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Question

I have to train a model, and when I run train.py in Google Colab, I can see the training progress. However, when I run the jupyter notebook in an Anaconda environment, the progress is not visible. My code has been running for over an hour and hasn't printed anything. What could be wrong?

i expect something like this:

Additional

I have already installed the requirements.txt file.

the command i run is:

!python yolov5/train.py --img 640 --batch 16 --epochs 100 --data yolov5/data.yaml --cfg yolov5/models/yolov5s.yaml --weights yolov5/yolov5s.pt --cache

github-actions[bot] commented 1 year ago

👋 Hello @amperesz, 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.

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Requirements

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

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glenn-jocher commented 1 year ago

@amperesz in order to see the progress of a train execution in a Jupyter Notebook, you can enable the logging feature in YOLOv5. By default, the logging level is set to "info", but you can increase the verbosity to get more detailed progress updates.

To do so, modify your code as follows:

import logging
logging.basicConfig(level=logging.DEBUG)  # Add this line before running yolov5/train.py

By adding the logging.basicConfig(level=logging.DEBUG) line of code before running yolov5/train.py, you will enable the debug level logging, which will print more detailed progress updates during the training process.

Please give this a try and let us know if you have any further questions.

amperesz commented 1 year ago

hi @glenn-jocher it has been running for 15 minutes and there is no difference

glenn-jocher commented 1 year ago

Hi there @amperesz! Thank you for reaching out.

It looks like the training process has been running for 15 minutes without any noticeable progress. There could be a few reasons for this.

First, please check the size of your dataset. If you have a large dataset, it may take some time to process and train the model. Also, make sure that your training parameters such as batch size, number of epochs, and learning rate are set appropriately for your dataset and model.

Additionally, please ensure that your hardware, such as the CPU or GPU, is properly configured and has sufficient resources to handle the training workload. Sometimes, insufficient resources can cause delays in the training process.

If you've reviewed these aspects and are still experiencing issues, please provide more details about your dataset, training parameters, and hardware configuration so that we can better assist you.

github-actions[bot] commented 1 year ago

👋 Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help.

For additional resources and information, please see the links below:

Docs: https://docs.ultralytics.com
HUB: https://hub.ultralytics.com
Community: https://community.ultralytics.com

Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!

Thank you for your contributions to YOLO 🚀 and Vision AI ⭐

github-actions[bot] commented 11 months ago

👋 Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help.

For additional resources and information, please see the links below:

Docs: https://docs.ultralytics.com
HUB: https://hub.ultralytics.com
Community: https://community.ultralytics.com

Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!

Thank you for your contributions to YOLO 🚀 and Vision AI ⭐

ultralytics / yolov5