368 Open source projects that are alternatives of or similar to Deep_sort_pytorch

Categorize, sort, and filter a responsive grid of items

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PHP Formatter is a PHP developer friendly set of tools

A set of tool which would make your life easier with Tensorrt and Onnxruntime. This Repo is designed for YoloV3

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

A project for counting vehicles using YOLOv4 + DeepSORT + Flask + Ngrok + TF2

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

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Build an Android App for deploying YOLO V3 source code on mobile phone directly.

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Reorderable drag-and-drop lists for modern browsers and touch devices. No jQuery or framework required.

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person detect based on yolov3 with several Python scripts

Implement YOLOv3 with TensorFlow

The library is MJPEG stream decoder based on libcurl and OpenCV, and written in C/C++.

Fast and powerful array sorting. Sort an array of objects by one or more properties. Any number of nested properties or custom comparison functions may be used.

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

Basic data structures, sorting algorithms, algorithms learning tools. 基本数据结构，排序算法，算法学习工具

A Computer Vision based Traffic Signal Violation Detection System from video footage using YOLOv3 & Tkinter. (GUI Included)

🔥Improve yolo with latest paper

加入关键点的darknet训练框架，轻量级的人脸检测，支持ncnn推理

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.

Faster R-CNN / R-FCN 💡 C++ version based on Caffe

Sorts JSON object alphabetically. It supports nested objects, arrays and collections. Works offline and beautifies JSON object too.

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Compare six baseline deep learning models on TrecQA

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 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.

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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.

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

combine state of art deep neural network based detectors with most efficient trackers to solve motion based multiple objects tracking problems

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

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PostCSS plugin for combine and sort CSS media queries with mobile first or desktop first methods.

Compare FasterRCNN,Yolo,SSD model with the same dataset

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a cli tool to sort files in your machine 🗃

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Sorts awesome lists by number of stars in each GitHub repository

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Using yolov3 & yolov4 weights objects are being detected from live video frame along with the measurement of the object from the camera without the support of any extra hardware device.

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

IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 review dataset.

Hayate-Shiki is an improved merge sort algorithm with the goal of "faster than quick sort".

A caffe implementation of MobileNet-YOLO detection network

PyTorch ,ONNX and TensorRT implementation of YOLOv4

Neural Network to predict face touch on live feed and warn you, "don't touch the face".