Closed georgekasa closed 1 year ago
👋 Hello @georgekasa, 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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Python>=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
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@georgekasa hi there,
To unfreeze the last 3 layers for better training on your custom dataset, you can modify the yolov5s.yaml
file in the models
directory, setting nc: 1
for one class and commenting out the pretrained: true
line. Then you can train using the --weights
parameter with your custom model weights to begin training from there.
Feel free to refer to our documentation for more details on custom training. If you have any further questions or need assistance, don't hesitate to ask.
Good luck with your custom dataset training!
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Question
Hello, I want to train this model based on my custom data set ( to detect lanes in a road), I saw your example with mushrooms, but i Have 2 questions in your example with training your model on your custom dataset all layers are frozen? if I want to unfreeze the last e.g. 3 layers ( to train better for my dataset) how I can do that?
thank you in advance
Additional
no