### Defining Python Project Dependencies

Source: https://github.com/s0md3v/roop/blob/main/requirements-headless.txt

This snippet specifies the Python packages and their exact versions required for the project. These dependencies are typically installed using pip from a `requirements.txt` file, ensuring all necessary libraries are available and compatible.

```Python
numpy==1.24.3
opencv-python==4.8.0.74
onnx==1.14.0
insightface==0.7.3
psutil==5.9.5
tk==0.1.0
customtkinter==5.2.0
tkinterdnd2==0.3.0
onnxruntime==1.15.0
tensorflow==2.13.0
opennsfw2==0.10.2
protobuf==4.23.4
tqdm==4.65.0
```

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

### Roop Project Python Package Requirements

Source: https://github.com/s0md3v/roop/blob/main/requirements.txt

This snippet defines the complete set of Python package dependencies for the Roop project. It includes specific version pinning for stability, an extra index URL for PyTorch wheels, and conditional installations for `tkinterdnd2` and `onnxruntime` to support various operating systems (macOS, Windows, Linux) and architectures (ARM64, x86_64).

```Python
--extra-index-url https://download.pytorch.org/whl/cu118

numpy==1.24.3
opencv-python==4.8.0.74
onnx==1.14.0
insightface==0.7.3
psutil==5.9.5
tk==0.1.0
customtkinter==5.2.0
tkinterdnd2==0.3.0; sys_platform != 'darwin' and platform_machine != 'arm64'
tkinterdnd2-universal==1.7.3; sys_platform == 'darwin' and platform_machine == 'arm64'
pillow==10.0.0
onnxruntime==1.15.1; python_version != '3.9' and sys_platform == 'darwin' and platform_machine != 'arm64'
onnxruntime-coreml==1.13.1; python_version == '3.9' and sys_platform == 'darwin' and platform_machine != 'arm64'
onnxruntime-silicon==1.13.1; sys_platform == 'darwin' and platform_machine == 'arm64'
onnxruntime-gpu==1.15.1; sys_platform != 'darwin'
tensorflow==2.13.0
opennsfw2==0.10.2
protobuf==4.23.4
tqdm==4.65.0
gfpgan==1.3.8
```

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

### Running Roop with Command-Line Arguments (Python)

Source: https://github.com/s0md3v/roop/blob/main/README.md

This snippet demonstrates how to execute the Roop program from the command line, specifying various options for source and target media, output paths, frame processing, and performance settings. It outlines the available arguments to control the face-swapping process.

```Bash
python run.py [options]

-h, --help                                                                 show this help message and exit
-s SOURCE_PATH, --source SOURCE_PATH                                       select an source image
-t TARGET_PATH, --target TARGET_PATH                                       select an target image or video
-o OUTPUT_PATH, --output OUTPUT_PATH                                       select output file or directory
--frame-processor FRAME_PROCESSOR [FRAME_PROCESSOR ...]                    frame processors (choices: face_swapper, face_enhancer, ...)
--keep-fps                                                                 keep target fps
--keep-frames                                                              keep temporary frames
--skip-audio                                                               skip target audio
--many-faces                                                               process every face
--reference-face-position REFERENCE_FACE_POSITION                          position of the reference face
--reference-frame-number REFERENCE_FRAME_NUMBER                            number of the reference frame
--similar-face-distance SIMILAR_FACE_DISTANCE                              face distance used for recognition
--temp-frame-format {jpg,png}                                              image format used for frame extraction
--temp-frame-quality [0-100]                                               image quality used for frame extraction
--output-video-encoder {libx264,libx265,libvpx-vp9,h264_nvenc,hevc_nvenc}  encoder used for the output video
--output-video-quality [0-100]                                             quality used for the output video
--max-memory MAX_MEMORY                                                    maximum amount of RAM in GB
--execution-provider {cpu} [{cpu} ...]                                     available execution provider (choices: cpu, ...)
--execution-threads EXECUTION_THREADS                                      number of execution threads
-v, --version                                                              show program's version number and exit
```