Stinky-Tofu / Stronger Yolo

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥

High level network definitions with pre-trained weights in TensorFlow

A Python wrapper on Darknet. Compatible with YOLO V3.

Pytorch implementation of YOLOX、PPYOLO、PPYOLOv2、FCOS an so on.

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

Train a state-of-the-art yolov3 object detector from scratch!

Target detection and multi target tracking platform based on Yolo DeepSort and Flask.

A PyTorch implementation of the YOLO v3 object detection algorithm

Go bindings for Darknet (YOLO v4 / v3)

C# Yolo Darknet Wrapper (real-time object detection)

YOLOv3 implementation in TensorFlow 2.3.1

People detection and optional tracking with Tensorflow backend.

To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

yolo3 implement by tensorflow， including mobilenet_v1, mobilenet_v2

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

yolov3 with mobilenetv2 and efficientnet

🔥 (yolov3 yolov4 yolov5 unet ...)A mini pytorch inference framework which inspired from darknet.

Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.

A real-time object detection app based on lightDenseYOLO Our lightDenseYOLO is the combination of two components: lightDenseNet as the CNN feature extractor and YOLO v2 as the detection module