Blaine Bateman
Blaine Bateman
I discovered this today as I found myself editing the wrong file, thought I was crazy, then figured out what was happening. In case it helps, here is a repro:...
Update--it appears saving the project and reopening fixes this.
> Did you solve this? I did not solve it, but I figured out how to do it without pyenv in Windows using Powershell.
I am seeing this as well, changing the thresholds in your api does impact this, but it appears you don't expose the paramters that pymatting is complaining about?
Perhaps a note can be added to the docs: This can be accommodated by exporting two env variables: export AWS_SHARED_CREDENTIALS_FILE=/mnt/c/Users//.aws/credentials export AWS_CONFIG_FILE=/mnt/c/Users//.aws/config these can be added into the .bashrc either...
I will organize a repo and update here when ready
> It seems that the statement that create this hang is [joblib/**init**.py:l.139] > I am actually not sure that this line is needed anymore as the package that was creating...
``` python segment/train.py --epochs 2 --workers 4 --device 0 --batch-size 1 --data data/my_segmentation.yaml --img-size 1024 --hyp data/hyps/hyp.scratch-high-custom.yaml --cfg models/segment/yolov7x.yaml --weights yolov7x-seg.pt --optimizer 'AdamW' --name 20240312_seg_01 Traceback (most recent call last):...
I had this problem and found it was solved by scaling the data using sklearn StandardScaler.
Here are the versions: ``` numba 0.57.0 shap 0.41.0 shapash 2.3.4 ```