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OpenCV School | Summary of 2019 original technical articles

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Official account of Wechat: OpenCV School

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2019 has quietly left, looking back on the past year, OpenCV School shared a lot of original technical articles, especially thank the contributors for their hard work, thank the majority of readers for their support and love! The article is summarized as follows:

Month 01

In-depth study of AI Beauty Series-- implementation of Portrait dynamic sticker algorithm

Practical information | tensorflow model export and use in OpenCV DNN

Detailed explanation and use of OpenCV SIFT feature algorithm

Detailed interpretation of HOG Features and pedestrian Detection

Selective Search algorithm and demonstration

Tutorial | OpenCV scene text detection

Introduction and Code demonstration of OpenCV Kalman filter

OpenCV calls Faster-RCNN object to detect the network

Using DCGAN to realize Image Generation

Tutorial | OpenCV Grabcut object segmentation

February

Summary of original technical articles in 2018

Use of EAST scene text detection model

Catch bugs | find a BUG in OpenCV4.0

Depth optimization local Laplace pyramid filter.

Real-time inference using OpenVINO ToolKit

Two network models that can be run in real time on the mobile end

Detailed explanation of NMS algorithm in object Detection Network

March

How does OpenCV4.0 run YOLOv3 object Detection Model

Colorization of OpenCV4.0 grayscale image

OpenCV realizes Age and Sex Prediction

Practical information | OpenCV implements edge template matching algorithm

Face recognition based on OpenCV4.0

Two common problems in training VOC datasets with tensorflow object detection framework

April 2004

Series | OpenVINO visual acceleration library uses one

Series | OpenVINO visual acceleration library uses two

Series | OpenVINO visual acceleration library uses three

Series | OpenVINO visual acceleration library uses four

Series | OpenVINO visual acceleration library uses five

Release | OpenCV 4.1.0 is coming!

Series | OpenVINO visual acceleration library uses six

Surface defect detection network of second kill DeepLabv3+ and UNet

Edge processing and anchoring output of OpenCV convolution filter

Series | OpenVINO visual acceleration library uses seven

May 2005

Linear convolution integral and its Application in Image Enhancement and Special effects

Detailed explanation of OpenVINO license plate recognition network

Image saliency detection algorithm based on global contrast

Visualization training of Keras

Summary of OpenVINO development series articles

LADN | Local anti-unwrapping network-a deep learning model for facial makeup transfer and anti-migration

Using conditional GAN to realize Image-to-Image Translation

The Enlightenment of the Open letter from the President of Hayes to the Technical staff

Background extraction and foreground extraction of OpenCV video analysis

Here comes the source code | kill the defect detection network of DeepLabV3+ and Unet

CVPR2019- instance split Mask Scoring R-CNN

Case selection of binary image analysis

Summary and comparison of common methods for color image to grayscale conversion

June 2006

Restoration of out-of-focus blurred image by OpenCV

Skills of saving images with different depths in OpenCV

Call HED edge detection algorithm in OpenCV4

Anti-blurring of moving Image by OpenCV

The eighth part of OpenVINO Development tutorial-Road Segmentation

Development of CVPR2019- Target Detection and Segmentation Technology

Demonstration of Watershed Segmentation algorithm based on label Control in OpenCV

Scene text detection model PixelLink detailed explanation and use. .

Text detection and recognition in OpenVINO scene

Playbook | Tesseract5+VS2017+win10 source code compilation

Algorithm | Rapid implementation of median fuzziness with small radius

Real-time style transfer and Super-Resolution Reconstruction based on Perceptual loss

July 2007

Efficient pixel traversal method in OpenCV to write project-level pixel traversal code

Here comes the source code | Nvidia open source pedestrian generation / re-identification code

Various types of Mat data reading in OpenCV

Ten most commonly used depth learning image / video data annotation tools

Three common bi-cube interpolation algorithms for image processing

How to read URL Image File in OpenCV

Re-recognition of pedestrians from scratch

[AI knows people] 10 pedestrian attributes you need to know

Image frequency domain filtering in OpenCV

How to use Mask RCNN Network in OpenCV4

Series | pedestrian attribute identification used by OpenVINO

2019 | object detection network summary of Anchor-free

Month 2008

How to compile and generate OpenCV-Python SDK package from OpenCV source code

Minimalist course of Python PIL Image processing Development

Implementation of Mask-RCNN Model Custom object (UAV) Detection

CSP object Detection Network with SOTA performance

Introduction to scikit-image Image processing

Detailed explanation of PASCAL VOC2012 dataset

Image Classification and depth feature extraction based on Opencv+TF-Slim

Detailed explanation of MS COCO dataset

Some small improvements of automatic color levels, contrast, histogram equalization and other algorithms

Detailed explanation of the steps of compiling Opencv4.0 and opencv_contribute modules under Ubuntu

How to compile OpenCV4.1.0 support OpenVINO inference engine acceleration support

Summary | detailed description of the benchmark dataset of image semantic segmentation in deep learning

Practical information | Intel neural network computing rods to achieve accelerated reasoning for object detection

Don't believe me, 100 lines of code will show you the basic API of OpenCV-Python.

September 2009

Progress | Detection and counting of dense population distribution

Realization of multiple Image stitching with OpenCV

Ten questions that beginners often ask me when learning OpenCV

Case study selection of OpenCV binary Image | Phase II

Practical skills | demonstration of OpenCV algorithm program exporting DLL and calling

Essential skills for OpenCV practical application | Module tailoring

The image in OpenCV shows programming skills that you don't know.

Hand tearing | acceleration and optimization of convolution layer calculation of deep neural network

Tutorial | handwritten digit recognition based on LSTM

Practical information | Mathematical process of cyclic neural network LSTM

Calibration and distortion Correction of OpenCV camera

The correct way to open the National Day, teach you to use OpenCV-Python to easily generate Wechat National Day version avatar

October

Application and interpretation of the most Common GAN Model in Deep Learning

DIS Optical flow algorithm and its Application in OpenCV4

Upgrade to tensorflow2.0, I am a bad person.

Practical information | use FFT transform to automatically remove serious screen patterns in the image

A fast, simple and excellent nonlinear color enhancement algorithm based on global curve adjustment and local information (multi-image depth analysis and exploration)

OpenCV4 | how to achieve the top-level skill of 30x acceleration in traditional image processing

10 minutes to learn OpenCV CUDA programming

OpenCV4 + QT5 integration and code testing in five minutes

SDK demonstration of the latest version of the network model quantification and reasoning acceleration framework OpenVINO

November

OpenCV acceleration and optimization to make code execution speed fly

CPU up-run deep learning model, FPS can also reach 100 frames

OpenCV4 | how to handle SSD model reasoning and result parsing with one line of code

God damn it! Face detection on OpenCV4.1.2 CPU can reach 700 + FPS.

Practical Information | principle and Fast implementation of Noise Reduction algorithm in GIMP

Tutorial | Real-time and efficient QR code recognition module in OpenCV4.1.2

Qt practical skills: use the OpenCV library to operate camera photography, adjust parameters and video recording

Qt practical skills: video players using OpenCV library (support player operations, such as pause, resume, stop, time, progress bar drag, etc.)

Tutorial | Caffe is installed and configured on Windows10 system

December

Using ImageAI to quickly build common object detection applications

Believe it, you can run mnist dataset training and testing without writing code on caffe.

Tutorial | all kinds of OpenCV environment building and source code compilation can be solved after reading it.

Detailed explanation of anchor-free object Detection Network CornerNet

CenterNet of object Detection New trend anchor-free Model

Detailed explanation of several key points in calling Image binarization function in OpenCV

Detailed explanation of Common Evaluation Indexes of Deep Learning Image semantic Segmentation

How to extract irregular ROI regions from OpenCV

Practical information | simple and rough two-classification segmentation method Riddler-Calvard detailed explanation!

OpenCV4.2 version of the DNN module uses CUDA to accelerate the tutorial VS2017 Window10

OpenCV practice | Hessian Matrix and its Application in Vascular Enhancement

In 2020, we will continue to work hard to share more technical information articles. You are welcome to join us to spread OpenCV development technology, publish original technical articles, and achieve yourself and others. Everything in the past is a preface; what the heart wishes, the sun and the moon can be expected! We won't break up at 2020!

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