Open slwgsc opened 1 month ago
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Ensure that you are using the latest ultralytics
package with all requirements met in a Python>=3.8 environment with PyTorch>=1.8:
pip install -U ultralytics
You can also explore YOLO on various verified environments with preinstalled dependencies:
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This is an automated response; an Ultralytics engineer will further assist you soon. 😊
The training dataset is shuffled each epoch. So there's no particular order.
After you finish training, you can access the train dataloader at model.trainer.train_loader
>>> for i in model.trainer.train_loader:
... print(i["im_file"])
... break ...
['/datasets/coco128/images/train2017/000000000536.jpg', '/datasets/coco128/images/train2017/000000000542.jpg', '/datasets/coco128/images/train2017/000000000071.jpg', '/datasets/coco128/images/train2017/000000000562.jpg']
It's going to be different each time.
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Question
How to print out the order in which the model loads the images of the dataset to verify that the model is trained and reasoned in the order given in the dataset, and can you give the specific modification code for this?
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