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2020_algorithm_intern_information

2020年的算法实习岗位/校招公司信息表，和常见深度学习基础知识笔记、算法岗面试题答案，及暑期计算机视觉实习面经和总结。

cosine_metric_learning

Deep Cosine Metric Learning for Person Re-identification

cvpr2020-paper-code-interpretation

cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理

data_mining_competition

我的数据挖掘比赛打怪之路

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

detr

End-to-End Object Detection with Transformers

dla

Code for the CVPR Paper "Deep Layer Aggregation"

ds

cpp deep_sort: C++ implementation of Simple Online Realtime Tracking with a Deep Association Metric

fairmot

A simple baseline for one-shot multi-object tracking

fast-reid

SOTA Re-identification Methods and Toolbox

fire-detect-by-yolov5

火灾检测，浓烟检测，吸烟检测，持续更新中~欢迎star与提出指导~~请查看原文：https://blog.csdn.net/qq_46098574/article/details/107334954

fire-detect-yolov4

fire-smoke-detection-dataset and fire-detection-yolov4-5 (with xml annotations)，火灾检测，烟雾检测

gesture

基于opencv和paddlex的手势识别demo

interview-notes

包含机器学习、深度学习、图像处理、c++等视觉算法岗面试必备基础知识

labelimg2

labelImg2 with rotated box and extra label support

mcmot

Real time one-stage multi-class & multi-object tracking based on anchor-free detection and re-id

memory-efficient-convolution-for-deep-neural-network

multi-camera-live-object-tracking

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

multi-class_yolov5_deepsort_pytorch

ncnn-android-yolov5

The YOLOv5 object detection android example

object-detection-and-tracking

YOLO & RCNN Object Detection and Multi-Object Tracking

paddledetection

Object detection and instance segmentation toolkit based on PaddlePaddle.

pyqt5_yolov5_deepsort

This is a PyQt5 GUI program, which is based on YoloV5 and DeepSort to track person, and give a warning when someone comes to the "dangerous area".

pytorch_classification

基于pytorch框架的classification万用模板

reid-strong-baseline

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

repvgg

RepVGG: Making VGG-style ConvNets Great Again

tensorflow-serving-yolov3

本项目主要对原tensorflow-yolov3版本做了许多细节上的改进,增加了TensorFlow-Serving工程部署,训练了多个数据集，包括Visdrone2019, 安全帽等, 安全帽mAP在98%左右, 推理速度1080上608的尺寸大概25fps.

the-first

项目描述

tracklite

Using Tensort to speed up yolov3 with deepsort for MOT

unet-pytorch

这是一个unet-pytorch的源码，可以训练自己的模型