1085 Open source projects that are alternatives of or similar to Yolov5_ncnn

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

High level network definitions with pre-trained weights in TensorFlow

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

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

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

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

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

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Full implementation of YOLOv3 in PyTorch

yolo(all versions) implementation in keras and tensorflow 2.4

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

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

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

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

A Python wrapper on Darknet. Compatible with YOLO V3.

Compare FasterRCNN,Yolo,SSD model with the same dataset

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

YOLOv3 implementation in TensorFlow 2.3.1

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

People detection and optional tracking with Tensorflow backend.

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

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

A PyTorch implementation of the YOLO v3 object detection algorithm

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

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

A caffe implementation of MobileNet-YOLO detection network

Annotation tool for YOLO in opencv

Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask

YoloV3 Implemented in Tensorflow 2.0

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

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

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

yolo3 implement by tensorflow， including mobilenet_v1, mobilenet_v2

A mobilenet SSD based face detector, powered by tensorflow object detection api, trained by WIDERFACE dataset.

php ffi darknet

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

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.

Deep Learning Applied To Vehicle Registration Plate Detection and Recognition in PyTorch.

using yolox+deepsort for object-tracking

A Caffe2 implementation of the YOLO v3 object detection algorithm

Etiketai is an online tool designed to label images, useful for training AI models

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

A self automatically labeling tool

Go bindings for Darknet (YOLO v4 / v3)

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

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

Convert JSON annotations into YOLO format.

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.

ODAM - Object detection and Monitoring

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

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

MobileNetV2_YOLOV3 for ncnn framework

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.

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

YOLO Object detection with OpenCV and Python.

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

Single Shot MultiBox Detector in TensorFlow

Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection, CVPR2021