Programmer Think

1, Introduction Image processing can be divided into two parts, spatial domain (time domain) and frequency domain. Spatial domain is the direct pixel processing of the image, which can be divided into two ways: gray transformation and filtering. Gray change is to adjust the gray value of a single pixel, and filtering is for the whole image. Le ...

7. Image outline 7.1 what is image contour Image outline is a curve of continuous points with the same color or gray scale Contour is very useful in shape analysis and object detection and recognition. Function of contour: For graphic analysisObject recognition and detection Note: In order to improve the accuracy of detection, it is neces ...

[OpenCV complete routine] 90 Frequency domain notch filter Welcome to pay attention "100 complete OpenCV routines" Series, continuously updating Welcome to pay attention "Python Xiaobai's OpenCV learning course" Series, continuously updating 5.2 Notch Filter Notch filter blocks or passes through the frequency in th ...

Alex's alexnet network structure model won the championship in Imagenet 2012 image classification challenge. When training alexnet, the author cycled the training set of 1.2 million images for 90 times, and spent five to six days on two NVIDIA GTX 580 3gb GPUs. Source paper: Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. "Imagenet cl ...

OpenCV3.4.6 installation package (including contrib): https://pan.baidu.com/s/1KBD-fAO63p0s5ANYa5XcEQ Extraction code: p7j0resources: https://pan.baidu.com/s/1nkQ6iVV7IeeP4gTXvM_DyQ Extraction code: ypvt Chapter1 reading pictures / videos / cameras Read picture from file modularfunctionimgcodecsImage file reading and writingimgprocI ...

Image operation Image addition The image can be added by the plus operator "+" or CV2 The add() function adds the image. The sum obtained is likely to exceed 255. The above two different addition operation methods have different processing methods for values exceeding 255. Plus operator "mod(a+b, 256)" means cal ...

Target level emotion analysis based on SKEP pre training model As we all know, human natural language contains rich emotional colors: expressing people's emotions (such as sadness and happiness), expressing people's mood (such as burnout and depression), expressing people's preferences (such as like and hate), expressing people's personality c ...

Introduction: This paper presents a simple and reliable algorithm to estimate the video background. For the video with fixed lens, which contains a small number of moving objects, the background image of the image can be obtained by median filtering. With the help of inter frame difference, the mask of moving objects in the image can be ob ...

paper code abstract The physical world presents visual images in a continuous manner, but computers store and display images in the form of discrete 2D pixel arrays. This paper studies the continuous representation of the image, uses the Local Implicit Image Function (LIIF) to take the image coordinates and the 2D depth features aro ...

VGG paper <Very Deep Convolutional Networks for Large-Scale Image Recognition> Thesis address: https://arxiv.org/abs/1409.1556 Network using duplicate elements (VGG) This paper briefly describes the VGG16 network by learning the harvest of VGG and the reproduction of VGG16. I Gain from learning VGG VGG network clearly points out and ...