969 Open source projects that are alternatives of or similar to Yolov3_tensorflow

YOLO3 动漫人脸检测 (Based on keras and tensorflow) 2019-1-19

High-performance multiple object tracking based on YOLO, Deep SORT, and optical flow

Faster R-CNN / R-FCN 💡 C++ version based on Caffe

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

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

👷 👷👷 YOLO V3(Tensorflow 1.x) 安全帽 识别 | 提供数据集下载和与预训练模型

This is a repository for an nocode object detection inference API using the Yolov4 and Yolov3 Opencv.

convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.

Implement YOLOv3 with TensorFlow

I transfer the backend of yolov3 into Mobilenetv1，VGG16，ResNet101 and ResNeXt101

yolo(all versions) implementation in keras and tensorflow 2.4

Yolo (Real time object detection) model training tutorial with deep learning neural networks

在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）

This repository provides you with a easy to use labeling tool for State-of-the-art Deep Learning training purposes.

Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask

Object detection with ssd_mobilenet and tiny-yolo (Add: YOLOv3, tflite)

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

JavaScript object detection lightweight library for augmented reality (WebXR demos included). It uses convolutional neural networks running on the GPU with WebGL.

This project implements a real-time image and video object detection classifier using pretrained yolov3 models.

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

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.

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

Full implementation of YOLOv3 in PyTorch

Run 3 scripts to (1) Synthesize images (by putting few template images onto backgrounds), (2) Train YOLOv3, and (3) Detect objects for: one image, images, video, webcam, or ROS topic.

High level network definitions with pre-trained weights in TensorFlow

🙄 Difficult algorithm, Simple code.

yolov3 by pytorch

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2 https://github.com/AlexeyAB/darknet, https://github.com/pjreddie/darknet

A highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.

YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)

Research platform for 3D object detection in PyTorch.

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

YoloV3 Implemented in Tensorflow 2.0

reproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5，YOLOv3, etc.

A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.

Plug and Play Real-Time Object Detection App with Tensorflow and OpenCV. No Bugs No Worries. Enjoy!

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.

A PyTorch implementation of the YOLO v3 object detection algorithm

People detection and optional tracking with Tensorflow backend.

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

A Python wrapper on Darknet. Compatible with YOLO V3.

YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO

🍅 Deploy NCNN on mobile phones. Support Android and iOS. 移动端NCNN部署，支持Android与iOS。

Multi-object trackers in Python

Real-time Anchor-Free Instance Segmentation, in CVPR 2020

Keras implementation of yolo v3 object detection.

Annotation tool for YOLO in opencv

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

This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

Real-time Detectron using webcam.

Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

A two stage multi-modal loss model along with rigid body transformations to regress 3D bounding boxes

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite