### Create virtual environment and install dependencies

Source: https://github.com/nvidia-maxine/nvidia-vfx-python-samples/blob/main/README.md

Set up a Python virtual environment and install the required dependencies from the requirements.txt file. This ensures the project has all necessary packages.

```bash
python -m venv .venv
source .venv/bin/activate        # Linux
# .venv\Scripts\Activate.ps1     # Windows PowerShell
pip install -r requirements.txt
```

--------------------------------

### Initialize Git LFS and pull assets

Source: https://github.com/nvidia-maxine/nvidia-vfx-python-samples/blob/main/README.md

Install Git Large File Storage (LFS) and pull sample video assets. Git LFS is required for downloading large media files used in the samples.

```bash
git lfs install
git lfs pull
```

--------------------------------

### Run Video Super Resolution sample (default)

Source: https://github.com/nvidia-maxine/nvidia-vfx-python-samples/blob/main/README.md

Execute the Video Super Resolution sample with default settings. This performs a 2x upscale with HIGH quality using the bundled sample video.

```bash
python video_super_resolution.py
```

--------------------------------

### Run Video Super Resolution with custom input/output

Source: https://github.com/nvidia-maxine/nvidia-vfx-python-samples/blob/main/README.md

Run the Video Super Resolution sample specifying custom input and output file paths. This allows processing of user-provided video files.

```bash
python video_super_resolution.py -i path/to/input.mp4 -o path/to/output.mp4
```

--------------------------------

### Run Video Super Resolution with 4x upscale and ULTRA quality

Source: https://github.com/nvidia-maxine/nvidia-vfx-python-samples/blob/main/README.md

Execute the Video Super Resolution sample with a 4x upscale factor and ULTRA quality setting. This maximizes detail enhancement but requires more GPU resources.

```bash
python video_super_resolution.py --scale 4 --quality ULTRA
```

--------------------------------

### Clone the repository

Source: https://github.com/nvidia-maxine/nvidia-vfx-python-samples/blob/main/README.md

Clone the NVIDIA VFX Python Samples repository using either SSH or HTTP. This step is necessary to obtain the project files.

```bash
git clone git@github.com:NVIDIA-Maxine/nvidia-vfx-python-samples.git        # Using SSH, or
# git clone https://github.com/NVIDIA-Maxine/nvidia-vfx-python-samples.git  # Using HTTP
cd nvidia-vfx-python-samples
```

--------------------------------

### Run Video Super Resolution for same-resolution denoise

Source: https://github.com/nvidia-maxine/nvidia-vfx-python-samples/blob/main/README.md

Run the Video Super Resolution sample with a scale factor of 1 to perform same-resolution denoise. This mode focuses on cleaning up noise and compression artifacts without upscaling.

```bash
python video_super_resolution.py --scale 1 --quality DENOISE_HIGH
```

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