Andrea andrea137

## pytorch_image_folder_with_file_paths.py
import torch
from torchvision import datasets

class ImageFolderWithPaths(datasets.ImageFolder):
    """Custom dataset that includes image file paths. Extends
    torchvision.datasets.ImageFolder
    """

    # override the __getitem__ method. this is the method that dataloader calls
    def __getitem__(self, index):

## export_conda_envs.sh
#!/usr/bin/env bash
. $HOME/miniconda3/etc/profile.d/conda.sh
mkdir conda_env_backups
cd conda_env_backups
conda info --envs | awk 'NR>2 {print $1}' > tmp_env_names
while read in; do
  conda activate "$in"
  conda env export > $in.yml
  conda deactivate
done < tmp_env_names
	import torch
	from torchvision import datasets

	class ImageFolderWithPaths(datasets.ImageFolder):
	"""Custom dataset that includes image file paths. Extends
	torchvision.datasets.ImageFolder
	"""

	# override the __getitem__ method. this is the method that dataloader calls
	def __getitem__(self, index):
	#!/usr/bin/env bash
	. $HOME/miniconda3/etc/profile.d/conda.sh
	mkdir conda_env_backups
	cd conda_env_backups
	conda info --envs \| awk 'NR>2 {print $1}' > tmp_env_names
	while read in; do
	conda activate "$in"
	conda env export > $in.yml
	conda deactivate
	done < tmp_env_names