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PIL library basic operation quick start PIL (pilot) -- image processing library of python 1. How to read in a picture? PIL(python Imaging Library, python Image processing library) provides Image processing functions, including Image scaling, acquisition, selection, reading and writing, among which the most important module is Image. Next, l ...

This article is excerpted from Blob Detection Using OpenCV ( Python, C++ ) The summary of image block detection methods is used for later learning and engineering application.   § 00 preamble This article is excerpted from Blob Detection Using OpenCV ( Python, C++ ) The summary of image block detection methods is u ...

Introduction to machine learning for programmers (XI) - object recognition YOLO - recognition of face position and whether to wear a mask This article will introduce the most popular object recognition model YOLO. YOLO is characterized by fast recognition speed 🤗， However, the accuracy is only a little worse than that of fast RCNN (after YOL ...

·For related learning of CornerNet, please refer to my other articles~ This article is more detailed. Zero basic Xiaobai can also run out of the program through this article. The author is just getting started. If there are deficiencies, please point out more! 1, Foreword 1. Relevant references The key to this tutorial is to re ...

Ox tail sweeps the shadow and tiger head opens the blind box. Three volume online disc competition, ranking evaluation 0.59168 Baidu online AI competition: document image shadow elimination, and the prize pool is a mysterious gift package. The prize pool is a blind box. I'm a little curious. 1, Document image shadow elimination In life, whe ...

opencv-python image high-pass filter and low-pass filter 1. High-pass filter Principle of high-pass filter High-pass filtering means that the parts with high frequencies pass through and are derived from the image. Generally speaking, the pixels of a picture have high frequencies in the outline and low frequencies in other parts. For Fourie ...

https://opencv.org/how-to-speed-up-deep-learning-inference-using-openvino-toolkit-2/ Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs https://arxiv.org/pdf/1907.06724.pdf https://github.com/thepowerfuldeez/facemesh.pytorch Introduction to face cloud extraction (facesh) In 2019, there was a paper on real-time 3D point c ...

MNIST dataset MNIST dataset is already a "chewed" dataset. Many tutorials will "start" on it and almost become a "model" However, some people may not know it very well. Let's introduce it MNIST datasets are available in http://yann.lecun.com/exdb/mnist/ Get, which consists of four parts: Training set images: ...

Personal data, for learning purposes only Modification time - January 28, 2022 06:36:26 Course of study: OpenCV4 C + + quick start video 30 lectures Video Teacher: Jia Zhigang Case 30: face detection opencv knowledge points: Create and operate integrated artificial neural network - dnn::Net classRead the network model stored in TensorFlow ...

Purpose of convolution: Convolution is mainly used for noise reduction, which is a way of noise reduction; Two dimensional discrete convolution includes Gaussian filtering, smoothing filtering, median filtering, bilateral filtering and guided filtering algorithms that can ensure the edge of the image; 1, Understand the source and classific ...