7381 Open source projects that are alternatives of or similar to Trainyourownyolo

Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask

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

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

YoloV3 Implemented in Tensorflow 2.0

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

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

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

Annotation tool for YOLO in opencv

Trial on kaggle imagenet object localization by yolo v3 in google cloud

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

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

yolo(all versions) implementation in keras and tensorflow 2.4

This is a repository for an object detection inference API using the Tensorflow framework.

YOLOv3 implementation in TensorFlow 2.3.1

🙄 Difficult algorithm, Simple code.

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.

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

A Python wrapper on Darknet. Compatible with YOLO V3.

An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

A PyTorch implementation of the YOLO v3 object detection algorithm

High level network definitions with pre-trained weights in TensorFlow

Port of Single Shot MultiBox Detector to Keras

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

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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.

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

People detection and optional tracking with Tensorflow backend.

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

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

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

YOLO object detector for Movidius Neural Compute Stick (NCS)

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

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

Single Shot MultiBox Detector in 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.

Object classification with CIFAR-10 using transfer learning

Full implementation of YOLOv3 in PyTorch

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

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

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

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

Address book for computer vision models.

Scaled-YOLOv4: Scaling Cross Stage Partial Network

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

Convert JSON annotations into YOLO format.

using yolox+deepsort for object-tracking

Implementatoin of object detection using Tensorflow 2.1.0 | this can be use in a car for object detection

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

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

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

Go bindings for Darknet (YOLO v4 / v3)

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.

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

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

automated social distancing monitoring system

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

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.