semvec/pypi-packages huggingface dataset:
torchvision-tinyimagenet 0.2
Dataset class for PyTorch and the TinyImageNet dataset.
Requires Python: >=3.6
Keywords: TinyImageNet ImageNet Dataset PyTorch torch torchvision

# torchvision-tinyimagenet
Dataset class for PyTorch and the TinyImageNet dataset.


# How to use
````
    split ="train" # can also be "val" or "test". Note that "test" does not have labels
    dataset = TinyImageNet(Path("~/.torchvision/tinyimagenet/"),split=split)
    n = len(dataset)
    print(f"TinyImageNet, split {split}, has  {n} samples.")
    print("Showing some samples")
    for i in range(0,n,n//5):
        image,klass = dataset[i]
        print(f"Sample of class {klass:3d}, image {image}, words {dataset.idx_to_words[klass]}")
````
python-lambda-builder 0.1.1
A CLI application for building lambda python functions and dependencies
Requires Python: >=3.8,<4.0

# Python Lambda Builder
This library is a CLI tool to solve the problem of 
building together a python project and its dependencies for lambda 
deployment. This command with could be integrated into pipeline 
for deployment.

## Usage
For poetry (pyproject.toml):
```shell
python_lambda_builder --func-src src/ --build_dest dist/
```

For pip (requirements.txt):
```shell
python_lambda_builder --func-src src/ --build_dest dist/ --manager pip
```

Other arguments you can pass include:
- `pyproject_path`: (defaults to `./pyproject.toml`) This can be the relative or absolute 
path to the pyproject.toml file.
- `requirements_path`: (defaults to `./requirements.txt`) This can be the relative or absolute 
path to the requirements.txt file.