2436 Open source projects that are alternatives of or similar to Easy Yolo

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

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.

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

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.

NVIDIA DeepStream SDK 5.1 configuration for YOLO models

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

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

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.

Custom Object Detection with TensorFlow

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

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

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

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

People detection and optional tracking with Tensorflow backend.

Node bindings for YOLO/Darknet image recognition library

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Single Shot MultiBox Detector in TensorFlow

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Computer vision based ML training data generation tool 🚀

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YOLOv3 implementation in TensorFlow 2.3.1

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Full implementation of YOLOv3 in PyTorch

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

Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.

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

Real-time Anchor-Free Instance Segmentation, in CVPR 2020

Real-time detection demo for Flutter tflite plugin

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The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

yolo(all versions) implementation in keras and tensorflow 2.4

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

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

convert between pytorch, caffe prototxt/weights and darknet cfg/weights

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

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

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A caffe implementation of MobileNet-YOLO detection network

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Real-time Detectron using webcam.