Auxiliary Tools

This page documents the Python tools available for the ToF evaluation kits.

Version 5.0.0 or Newer

Requirements: Python 3.10 (64-bit)

Execute the setup batch file from the TOF evaluation package.

Use Python virtual environment with pip package management:

python3 -m venv tof_env
source tof_env/bin/activate
pip install -r requirements.txt

Demonstrates retrieving a single camera frame with network or USB connectivity.

python first_frame.py

Streams and visualizes depth frames using PyGame engine.

python depth-image-animation-pygame.py

Enables skeletal tracking capabilities using TensorFlow Lite.

python skeletal_tracking.py

Parses the raw data of a frame and extracts the depth, AB, confidence and point cloud data. Outputs are saved as PNG and PLY files.

python rawparser.py --input data_output_0.bin --mode lr-native

Saves camera configuration files locally from connected devices.

python saveCCBToFile.py --ip 10.43.0.1 --output camera_config.ccb

Important

These utilities were removed starting with version 5.0.0.

Miniconda environment with Python 3.9 virtual setup.

Processed raw capture files to generate depth and point cloud outputs.

This functionality is now integrated into the main pipeline.

Extracted video stream data from FSF format files supporting AB, depth, and XYZ information.

This format is no longer used in newer versions.