1404 Open source projects that are alternatives of or similar to Map

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

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

Label images and video for Computer Vision applications

Most popular metrics used to evaluate object detection algorithms.

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

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

YOLO ROS: Real-Time Object Detection for ROS

Making custom object detector using Yolo (Java and Python)

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

php ffi darknet

Review on Object Detection Metrics: 14 object detection metrics including COCO's and PASCAL's metrics. Supporting different bounding box formats.

Self-hosted NVR with object detection

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

YOLOv3 implementation in TensorFlow 2.3.1

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

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

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

YOLOv2 in PyTorch

Free to use online tool for labelling photos. https://makesense.ai

In-Browser Object Detection using Tiny YOLO on Tensorflow.js

NVIDIA DeepStream SDK 5.1 configuration for YOLO models

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 Python wrapper on Darknet. Compatible with YOLO V3.

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.

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

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

Annotation tool for YOLO in opencv

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

YOLOv2 algorithm reimplementation with pytorch

Use the Intel D435 real-sensing camera to realize target detection based on the Yolov3 framework under the Opencv DNN framework, and realize the 3D positioning of the Objection according to the depth information. Real-time display of the coordinates in the camera coordinate system.ADD--Using Yolov5 By TensorRT model,AGX-Xavier,RealTime Object Detection

This easy-to-use library splits images and its bounding box annotations into tiles, both into specific sizes and into any arbitrary number of equal parts. It can also resize them, both by specific sizes and by a resizing/scaling factor.

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

High level network definitions with pre-trained weights in TensorFlow

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

A novel region proposal network for more general object detection ( including scene text detection ).

YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

Convert any classification model or architecture trained in keras to an object detection model

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

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.

R interface to fast.ai

How to run YOLO on Jetson TX2

PyTorch implementations of recent Computer Vision tricks

Realtime mobile visualize based Object Detection based on TensorFlow and YOLO model

YOLO V2 & V3 , YOLO Combined with RCNN and MaskRCNN

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

An open source tool to quantify the world

SynthDet - An end-to-end object detection pipeline using synthetic data

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

Rapid satellite imagery object detection

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch

Training and Detecting Objects with YOLO3

Deep Learning sample programs using PyTorch in C++

Darknet2ncnn converts the darknet model to the ncnn model

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

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