multi-object-tracker
The project offers accessible implementations of diverse multi-object tracking algorithms in Python, including tools like CentroidTracker, IOUTracker, CentroidKF_Tracker, and SORT. It integrates with OpenCV-based detectors such as TF_SSDMobileNetV2, Caffe_SSDMobileNet, and YOLOv3. Installation is straightforward using pip or GitHub, with additional guidance provided for GPU use via CUDA-enabled OpenCV. The repository includes practical examples and pre-trained model weights for broader application.
