823 Open source projects that are alternatives of or similar to Keras Yolov3 Mobilenet

High level network definitions with pre-trained weights in TensorFlow

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

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

A PyTorch implementation of the YOLO v3 object detection algorithm

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

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

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

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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

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

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.

A Python wrapper on Darknet. Compatible with YOLO V3.

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

YoloV3 Implemented in Tensorflow 2.0

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

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

A caffe implementation of MobileNet-YOLO detection network

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

People detection and optional tracking with Tensorflow backend.

Full implementation of YOLOv3 in PyTorch

yolo(all versions) implementation in keras and tensorflow 2.4

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

Annotation tool for YOLO in opencv

🙄 Difficult algorithm, Simple code.

Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask

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

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

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

YOLO: You only look once real-time object detector

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

TensorFlow implementation of the YOLO (You Only Look Once)

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

A collaborative tool for labeling image data for yolo

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

🔥Improve yolo with latest paper

Deep learning codes and projects using Python

php ffi darknet

YOLO v3 and Tiny YOLO v1, v2, v3 with Tensorflow.js

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

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

Convert JSON annotations into YOLO format.

using yolox+deepsort for object-tracking

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

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

Go bindings for Darknet (YOLO v4 / v3)

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

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.

Self-hosted NVR with object detection

The back-end for the YOLOv3 object detector running as a webapp

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

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

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YOLO Object detection with OpenCV and Python.

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

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

Implement YOLOv3 with TensorFlow

YOLO for object detection tasks