5384 Open source projects that are alternatives of or similar to Viseron

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

🐛 🐛 Opencv视频流传输到网页浏览器并做目标检测 🐛 🐛

php ffi darknet

pnn is Darknet compatible neural nets inference engine implemented in Rust.

TensorFlow implementation of the YOLO (You Only Look Once)

State of the art object detection in real-time using YOLOV3 algorithm. Augmented with a process that allows easy training of the classifier as a plug & play solution . Provides alert if an item in an alert list is detected.

ffcnn is a cnn neural network inference framework, written in 600 lines C language.

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

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

Lane depertaure and Yolo objection detection C++ Linux

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.

YOLO Object detection with OpenCV and Python.

person detect based on yolov3 with several Python scripts

YOLOv3 implementation in TensorFlow 2.3.1

YOLO for object detection tasks

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

YOLO ModelCompression MultidatasetTraining

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

Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.

Computer vision based ML training data generation tool 🚀

Raspberry Pi surveillance

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

Color tracking with OpenCV

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

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

Real-time object detection on Android using the YOLO network with TensorFlow

🏀🤖🏀 AI web app and API to analyze basketball shots and shooting pose.

YOLO/YOLOv2 inspired deep network for object detection on satellite images (Tensorflow, Numpy, Pandas).

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

Convert https://pjreddie.com/darknet/yolo/ into pytorch

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

A photo OCR project aims to output DMS messages contained in sign structure images.

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

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

A TensorFlow 2.0 implementation of YOLOv4: Optimal Speed and Accuracy of Object Detection

Darknet2ncnn converts the darknet model to the ncnn model

This repository walks you through how to Build and Run YOLOv4 Object Detections with Darknet in the Cloud with Google Colab.

PyTorch implementations of recent Computer Vision tricks

How to run YOLO on Jetson TX2

Implemented the YOLO algorithm for scene text detection in keras-tensorflow (No object detection API used) The code can be tweaked to train for a different object detection task using YOLO.

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Training and Detecting Objects with YOLO3

A caffe implementation of MobileNet-YOLO detection network

Rapid satellite imagery object detection

YOLO object detector for Movidius Neural Compute Stick (NCS)

Market leading Android SDK with encoding, streaming & playback functionality

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

Simple python wrapper for YOLO.

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

image (semantic segmentation) instance segmentation by darknet or yolo

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

A binary library for very fast face detection using compact CNNs.

Open source face recognition on Raspberry Pi. SharpAI is open source stack for machine learning engineering with private deployment and AutoML for edge computing. DeepCamera is application of SharpAI designed for connecting computer vision model to surveillance camera. Developers can run same code on Raspberry Pi/Android/PC/AWS to boost your AI production development.

Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask

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

YoloV3 Implemented in Tensorflow 2.0

Sort CSS declarations fast and automatically in a certain order.

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

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