maxfrei750 / paddle Goto Github PK

Actually i have installed mamba in a linux system and I tried running the command
mamba env create --file environment.yaml
The packages were installed suceesfully (There were around 338 packages with a total storage of 2 GB) but I encountered the following error in the pip dependency resolution.

Could you please tell how can I test a custom .png file with this model?

While setting up the repository in Anaconda Prompt, the line
conda env create --file environment.yaml
initally shows Collecting package metadata which gets completed soon but the solving environment step takes a huge amount of time.

Could you please provide some help in setting it up and using this model?

How can I correctly upload images to retrain the model? The new mask images are binary 1 bit images, and they are all the same dimensions as the original training images, but when I try to use my new training/validation in the training demo, I get an index error saying: IndexError: index 2 is out of bounds for dimension 0 with size 2.

I have followed the structure for the image file paths and names, so I don't know why I am getting this error.

I have successfully created the conda environment and on runing the jupyter lab, I went inside the demos/03_analyze_dataset/analyze_dataset notebook. On running the first cell itself I encountered with the following error.

While executing the command jupyter lab, it throws an error DLL load failed while importing win32api: The specified procedure could not be found. I ahve tried installing conda install -c anaconda pywin32 but the same issue persists.
Could you please provide a reply to this issue?

I have tried running the notebook analyze_dataset.ipynb . While executing the cell

I get the following issue, the dataset seems to be private or remove by the owner.