Programming VIP

Unit 5: grating pretreatment 1 Introduction In this module, we will discuss the following concepts: Understand the types of data correction commonly used in remote sensing images.How to intuitively compare the spatial data of different preprocessing levels in the same dataset.How to perform cloud masking and cloud masking assessm ...

Completed today: [100 OpenCV routines] 100 Adaptive local noise reduction filter Celebration and change: Python white OpenCV learning class from scratch - 8 Frequency domain image filtering (I) Welcome to pay attention "100 routines" Series, continuously updating Welcome to pay attention "Python Xiaobai's OpenCV learning course ...

1, Overview 1,LAStools-v2.0.0 The library has been updated for some reason. Last updated on: January 7, 2022. Lastools version: 220107. Due to some requests, now start using git publishing. Lastools uses version control in the YYMMDD scheme. This is very common for most lasttools users, so keep this version number. In addition, we will fo ...

OpenGL learning notes I Refer to the official website Hello Triangle The purpose of this note is to refine the key content and better master the content of opengl in combination with your own understanding and translation 1, Render pipeline The division of Graphics Pipeline (mostly translated as pipeline, which actually refer ...

「 🍔 Customize training template 🍔」 Example of eliminating online game based on document shadow I believe you have the same confusion as me when writing projects with paste: The encapsulation of advanced APIs is too good, and it is difficult to add some functions when they need to be customized; The low-level API function is very single. ...

PASSL It includes image self-monitoring algorithms based on comparative learning such as SimCLR, MoCo v1/v2, BYOL, CLIP and PixPro Open source is not easy. Welcome to a little Star support! 🥰 Hi Guy, let's meet again. This time, let's get a self supervised job, Masked Autoencoders (MAE) This is another masterpiece of big brother he Kaim ...

1, HOG characteristics HOG(Histograms of Oriented Gradients) gradient direction histogram 2, HOG feature extraction process 1) Gray image conversion (the image is regarded as a three-dimensional image of X, y and Z (gray); 2) Gamma correction method is used to standardize (normalize) the color space of the input image; At the same time, th ...

Implementation of Opencv image enhancement algorithm (histogram equalization, Laplace, Log, Gamma) | Chuan · Yen 1, Introduction Image enhancement algorithm is a process of image distortion, which is to highlight some characteristics of the response and facilitate our processing of the region of interest. Generally, there are four meth ...

Medical imaging Medical image refers to the technology and processing process of obtaining internal tissue image of human body or part of human body in a non-invasive way for medical treatment or medical research. At present, the main processing methods include: X-ray imaging (X-ray), computed tomography (CT ...

Reference article: Baidu AI strategy: Taxi ticket identification_ Can I waste my blog - CSDN blog (complete python source code attached) entry case based on tensorflow and opencv_ Invoice identification I: positioning of key areas_ Xiaobai comes to move - CSDN blog_ python invoice identification Note: thanks to the teammates who completed the ...