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Sometimes it will start outputting a new line per progress bar update though, which causes many problems. This is especially prevalent (100% occurrence rate) when running in a Docker image after some time, or running a Docker image in detached mode:
YOLOv5 🚀 v6.1-25-gcaf7ad0 torch 1.11.0 CPU
# Run latest YOLOv5 Docker Imaget=ultralytics/yolov5:latest&&sudodockerpull $t&&sudodockerrun-it $t# inside Docker container start training YOLOv5 modelpythontrain.py
I've tried everything I can think of, including defining a format (shown above), defining a fixed terminal size, using the default settings, and this problem still occurs every time. Any ideas for how we can fix this?
The text was updated successfully, but these errors were encountered:
read the [known issues]
environment, where applicable:
We use tqdm extensively in YOLOv5 https://github.com/ultralytics/yolov5, and most of the time it works great!
Sometimes it will start outputting a new line per progress bar update though, which causes many problems. This is especially prevalent (100% occurrence rate) when running in a Docker image after some time, or running a Docker image in detached mode:
YOLOv5 🚀 v6.1-25-gcaf7ad0 torch 1.11.0 CPU
Our exact tqdm implementation is here:
https://github.com/ultralytics/yolov5/blob/caf7ad0500f8fc58567a7aa01ca91d5ee77691d6/train.py#L302-L308
I've tried everything I can think of, including defining a format (shown above), defining a fixed terminal size, using the default settings, and this problem still occurs every time. Any ideas for how we can fix this?
The text was updated successfully, but these errors were encountered: