Showing 21-31 of 31 projects
Real-time multi-person tracking using YOLO v3 and deep_sort with TensorFlow for computer vision applications.
This repository provides a model pruning technique for the YOLOv3 object detection model on the Oxford Hand dataset.
A C++ library that enables deploying the YOLOv5 object detection model on mobile devices using the NCNN framework.
A Python library for channel and layer pruning of YOLOv3 and YOLOv4 models, with support for knowledge distillation.
A C++ library for accelerating YOLO-based computer vision models using NVIDIA's TensorRT framework.
High-performance multiple object tracking for computer vision and edge computing applications.
A C++ library that provides optimized YOLO object detection models for deployment on NVIDIA Jetson platforms.
A Python library for converting JSON annotations into YOLO format for object detection.
A PyTorch-based library for running various YOLO object detection models using NVIDIA's TensorRT for improved performance.
A Python library that implements the YOLOv3 object detection algorithm using MobileNetV2 and ASFF.
High-level network definitions with pre-trained weights in TensorFlow for deep learning and computer vision tasks.
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