OpenLabeling

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Image augmentation for machine learning experiments.

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Most popular metrics used to evaluate object detection algorithms.

? Highly Optimized 2D / 3D Graphics Math (glm) for C

YOLO ROS: Real-Time Object Detection for ROS

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2