Programmer Think

12. Image smoothing 12.1 objectives Learn: - blur images with various low-pass filters - apply custom filters to images (2D convolution) 12.2 # 2D convolution (image filtering) Like the one-dimensional signal, various low-pass filters (LPF) and high pass filters (HPF) can also be used to filter the image. LPF helps to eliminate noise and blu ...

[OpenCV complete routine] 86 Application of frequency domain filtering: fingerprint image processing Welcome to pay attention "100 complete OpenCV routines" Series, continuously updating Welcome to pay attention "Python Xiaobai's OpenCV learning course" Series, continuously updating 4. High pass filter in frequency ...

1 Overview This document is mainly composed of Two classes, Darknet yolayer,Several functions create_modules，get_yolo_layers，load_darknet_weights，save_weights，convert，attempt_download form Darknet's constructor first calls parse_model_cfg，create_modules，get_yolo_layers are three functions, so let's start with them and then further ...

Opencv Python Fourier transform 1, Image Fourier transform Principle of two-dimensional Fourier transform Gray image is composed of two-dimensional discrete points. Two dimensional discrete Fourier transform (2ddft) is often used in image processing. The spectrum of an image is obtained after Fourier transform. The frequency level in the spe ...

preface Mu Shen's code has been watched for a long time, and the video on station B has been brushed many times. He lamented that his foundation is not very solid. The bottom code of the anchor box is almost rolled over line by line. Therefore, make a summary of the whole learning part, and first put Mu Shen's station B and electronic teac ...

Recent projects need to use some effects of beauty, so I began to contact opencv computer vision library. I found a simple and free introductory video "opencv 4 # quick start video 30 lectures" in Tencent class. After watching the video, I initially had a clear concept and basic usage of OpenCV #. The next step is to start some prelim ...

1, Introduction to handwritten numeral recognition technology 1 case background Handwritten numeral recognition is a branch of image recognition. It is one of the important applications in the field of image processing and pattern recognition. Due to the great randomness of handwritten digits, such as stroke thickness, font size, tilt angle an ...

Recently, I was training my data set with yolov5. During this period, I took many detours and was ruthlessly diss by my senior brother. Therefore, I want to record this process. For the first time, if there is infringement, contact me to delete it. If there is anything wrong, please exchange and correct it in the comment area. Thank you! 1. Do ...

Hello, everyone, this is OAK China. I'm assistant Jun. The content shared in this issue comes from a column written by the CEO of OpenCV, which was first published in oakchina Official website. This is the first article in the OAK intelligent depth camera programming column. Both OAK-D and OAK-D-Lite are 3D Artificial Intelligence cameras. ...

[OpenCV complete routine] 83 Frequency domain low-pass filtering case: printed text character repair Welcome to pay attention "100 complete OpenCV routines" Series, continuously updating Welcome to pay attention "Python Xiaobai's OpenCV learning course" Series, continuously updating 3.5 low pass filtering in frequen ...