Yolov5 train

[giantonti1801]

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Question

I am training a model with yolov5nu. When I finish training, I download it from pytorch. In my case, I want to use the model I trained in codeproject.ai with yolov5 2.6, but the problem is that it does not normally recognize it. I have trained a model in Google Colab with yolov5n pre-training and the yolov5 library and I have no problem, it recognizes it perfectly. What am I doing wrong?

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[glenn-jocher]

@giantonti1801 hello,

Thank you for reaching out and providing detailed information about your issue. It sounds like there might be a compatibility issue between the versions of YOLOv5 you're using.

Here are a few steps you can take to troubleshoot and resolve this issue:

1. Verify YOLOv5 Version Compatibility: Ensure that the version of YOLOv5 you used for training (yolov5nu) is compatible with the version you are using in CodeProject.AI (yolov5 2.6). Different versions of YOLOv5 may have changes in the model architecture or saved model format that could cause compatibility issues.

2. Check Model Conversion: If there are version mismatches, you might need to convert your trained model to a format that is compatible with the version you are using in CodeProject.AI. This can often be done by loading the model in the version it was trained on and then saving it in a compatible format.

3. Update Packages: Make sure you are using the latest versions of all relevant packages. Sometimes, issues are resolved in newer releases. You can update YOLOv5 in your environment by running:

   pip install --upgrade yolov5

4. Model Export: When exporting your model from Google Colab, ensure you are using the correct export commands. For example:

   model = torch.load('path/to/your/model.pt')
   torch.save(model, 'path/to/save/compatible_model.pt')

5. Ultralytics HUB: If you are using Ultralytics HUB for training, ensure that you are following the guidelines for exporting models. You can refer to the Ultralytics HUB documentation for detailed instructions.

If the issue persists, please provide additional details such as the specific error messages you are encountering. This will help us diagnose the problem more accurately.

Feel free to reach out if you have any further questions or need additional assistance. 😊

[giantonti1801]

Is there any possibility of using the yolov5s pretrained model to perform the training? Because with this model it works. I have already tried all kinds of training but none of them are working for me. Now, among the available options would be: 1: the possibility of using the dataset saved in ultralitycs hub in my repository to be able to connect it to google colab but that I can master the training in google colab, that is, I only tell google colab where the dataset is and the yaml necessary for the training. 2: the possibility that I can define that the pretrained model must be yolov5s.

El mié, 4 sept 2024 a las 2:14, Glenn Jocher @.***>) escribió:

@giantonti1801 https://github.com/giantonti1801 hello,

Thank you for reaching out and providing detailed information about your issue. It sounds like there might be a compatibility issue between the versions of YOLOv5 you're using.

Here are a few steps you can take to troubleshoot and resolve this issue:

1.

Verify YOLOv5 Version Compatibility: Ensure that the version of YOLOv5 you used for training (yolov5nu) is compatible with the version you are using in CodeProject.AI (yolov5 2.6). Different versions of YOLOv5 may have changes in the model architecture or saved model format that could cause compatibility issues. 2.

Check Model Conversion: If there are version mismatches, you might need to convert your trained model to a format that is compatible with the version you are using in CodeProject.AI. This can often be done by loading the model in the version it was trained on and then saving it in a compatible format. 3.

Update Packages: Make sure you are using the latest versions of all relevant packages. Sometimes, issues are resolved in newer releases. You can update YOLOv5 in your environment by running:

pip install --upgrade yolov5

4.

Model Export: When exporting your model from Google Colab, ensure you are using the correct export commands. For example:

model = torch.load('path/to/your/model.pt')torch.save(model, 'path/to/save/compatible_model.pt')

5.

Ultralytics HUB: If you are using Ultralytics HUB for training, ensure that you are following the guidelines for exporting models. You can refer to the Ultralytics HUB documentation https://docs.ultralytics.com/hub/ for detailed instructions.

If the issue persists, please provide additional details such as the specific error messages you are encountering. This will help us diagnose the problem more accurately.

Feel free to reach out if you have any further questions or need additional assistance. 😊

— Reply to this email directly, view it on GitHub https://github.com/ultralytics/hub/issues/822#issuecomment-2328003163, or unsubscribe https://github.com/notifications/unsubscribe-auth/AULZZOT7UJ7YQOPFPJ4DRCTZU2QODAVCNFSM6AAAAABNTNQYNWVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDGMRYGAYDGMJWGM . You are receiving this because you were mentioned.Message ID: @.***>

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[glenn-jocher]

Hello @giantonti1801,

Thank you for your question! Let's address your options:

1. Using Ultralytics HUB Dataset in Google Colab: You can indeed use a dataset stored in Ultralytics HUB for training in Google Colab. To do this, you can download the dataset from the HUB to your local machine and then upload it to Google Colab. Alternatively, if the dataset is accessible via a URL, you can use Python code in Colab to download it directly. Here's a simple example:

   !wget 'your_dataset_url' -O 'dataset.zip'
   !unzip -q 'dataset.zip'

   Ensure you have the correct path to your dataset and YAML file in your training script.

2. Using YOLOv5s Pretrained Model: You can specify the yolov5s pretrained model in your training script. In your Colab notebook, you can set the model path like this:

   !python train.py --img 640 --batch 16 --epochs 50 --data 'your_data.yaml' --weights yolov5s.pt

   This command tells YOLOv5 to use the yolov5s pretrained weights for training.

If you encounter any specific errors or need further assistance, feel free to share more details. We're here to help! 😊

[sergiuwaxmann]

@giantonti1801 You can train YOLOv5nu models instead of YOLOv5n using the latest ultralytics (YOLOv8). If you want to train a YOLOv5n model, you must use YOLOv5 instead of YOLOv8.

PS You can download your dataset from Ultralytics HUB and train your model locally using YOLOv5: https://docs.ultralytics.com/hub/datasets#download-dataset.

[sergiuwaxmann]

Closing this issue as it is duplicated by #825.