Basic image processing use of ImageDraw module
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catalogue
๐ Previous review
๐ preface
๐ Basic function application
๐ Application example I
๐ Application example II
๐ Previous review
Basic image processing (I)(1 message) basic ima ...
Added by wilded1 on Wed, 26 Jan 2022 23:56:06 +0200
OPenCV contour discovery
Introduction to contour discovery
Definition of profile
An outline represents a series of points (pixels), which form an ordered point set, so an outline can be understood as an ordered point set.
Contour discovery definition
Contour discovery is a method to find object contour based on image edge extraction. Therefore, the threshold se ...
Added by advoor on Wed, 26 Jan 2022 21:36:19 +0200
OpenCV starts with beginners - object detection, frame the object outline, and design the interactive interface
reference resources:
Use Opencv and Python to build your own object detection software.
According to the content in the reference video, you can build it by yourself. However, because the video is in English and the subtitles turned out by the machine are not accurate, the steps and code notes are made into notes, and the complete projec ...
Added by googlit on Tue, 25 Jan 2022 17:04:52 +0200
Gesture tracking based on Opencv+Mediapipe
Relevant introduction
OpenCV is based on Apache 2 Cross platform for 0 licensed (open source) distribution computer vision and machine learning Software library, which can run in Linux,Windows,Android and Mac OS On the operating system. It is lightweight and efficient - it is composed of a series of C functions and a small number of C + + cla ...
Added by FraXTC on Tue, 25 Jan 2022 11:23:25 +0200
Introduction to image processing - morphological operation
Morphological operation
1. Connectivity
In the image, the smallest unit is the pixel. There are 8 adjacent pixels around each pixel. There are three common adjacent relationships: 4 adjacent, 8 adjacent and D adjacent. As shown in the figure below: 4 adjacency: the 4 neighborhood of pixel p(x,y) is: (x+1,y); (x-1,y)๏ผ (x,y+1)๏ผ (x,y-1)
D ad ...
Added by Ward on Mon, 24 Jan 2022 21:41:51 +0200
Introduction to computer vision based on Paddle -- Lecture 9: detailed explanation of MobilenetV3 network
Station B tutorial address
https://www.bilibili.com/video/BV18b4y1J7a6/
introduce
Mobilenet is a network series created by Google. It has been released to V3. Each version update is an optimization modification on the previous network. Mobilenet focuses on lightweight networks, which means less network parameters, faster execution speed and ...
Added by schandhok on Mon, 24 Jan 2022 17:01:31 +0200
Image graying and binarization
Image graying
What is image graying?
Image graying is not to turn a simple image into gray, but to integrate the BGR channels of the image with a certain law to make the image display bit gray. The rules are as follows:
Manual graying
First, we use manual graying: The idea is: First create a blank picture with the same length and width as ...
Added by peDey on Sun, 23 Jan 2022 03:12:27 +0200
When deformable attention mechanism is introduced into Vision Transformer
[GiantPandaCV introduction] by introducing the variability ability of Deformable CNN on the basis of Transformer, we can reduce the amount of model parameters and improve the ability to obtain large receptive fields. Code interpretation is attached.
introduction
Transformer has stronger model representation ability because of its larger recepti ...
Added by Daveg on Sat, 22 Jan 2022 20:41:46 +0200
Nvidia Deepstream ultimate details: 3 Deepstream Python RTSP video output display
Nvidia Deepstream ultimate details: 3 Deepstream Python RTSP video output display
This chapter will detail the official case: deepstream_test_1_rtsp_out.py for interpretation. deepstream_ test_ 1_ rtsp_ out. The main function of Py is to input RTSP format video stream. When we successfully run the Python file, we won't see the video on the scr ...
Added by amazinggrace1983 on Sat, 22 Jan 2022 03:20:10 +0200
Color space of OpenCV (cv2.cvtColor)
This blog will introduce three color spaces (RGB, HSV, Lab) in OpenCV and their conversion, and discuss the key role of lighting conditions and color space in computer vision applications.
The key point is to always consider lighting conditions before writing code! In general, it is easier to control lighting conditions than to write code ...
Added by shibobo12 on Sat, 22 Jan 2022 01:35:10 +0200