Python face recognition (GUI interface) -- Based on pyopencv

Daily sentence: Shine silently, and then amaze everyone!!! preface: This project was written by the author before the end of the summer vacation. Because of the opening of school and other problems, this project has been put aside. With the author's need to transform Java, there may not be many projects to write python in the future. This week ...

Posted on Tue, 07 Dec 2021 01:06:05 -0500 by robert.access

Basic image filter of computer vision

1. Image noise definition Image noise is a signal that interferes with random signals in the process of image acquisition or transmission, which hinders people's understanding, analysis and processing of images. produce The generation of image noise comes from the environmental conditions in image acquisition and the quality of sensing ...

Posted on Mon, 06 Dec 2021 17:25:42 -0500 by Trizen

Advanced face detection: faster 5-point face marker detector

Advanced face detection: faster 5-point face marker detector The goal here today is to introduce you to the new dlib facial marker detector, which is faster (8-10% higher), more efficient and smaller (10 times smaller) than the original version. In the first part of this blog post, we will discuss dlib's new, faster and smaller 5-point facial ...

Posted on Mon, 06 Dec 2021 16:07:35 -0500 by amthree

Human image segmentation based on image segmentation network HRNet

Human image segmentation based on image segmentation network HRNet Portrait segmentation is a very common application in the field of image segmentation. PaddleSeg launched a portrait segmentation PPSeg model trained on large-scale portrait data to meet the needs of a variety of use scenarios on the server, mobile and Web. This tutorial provid ...

Posted on Sat, 04 Dec 2021 22:02:59 -0500 by ExuLt4Nt

Identify coins and cell number + bar code detection (python+opencv)

1, Preparatory work Pictures used python version and opencv version python 3.8.12 opencv 3.4.11 2, Coin and cell number recognition principle Read the picture with opencv. After reading, grayscale and binarization are carried outAfter binarization, the values in the two-dimensional list of stored pictures are all 0 and 1. Exp ...

Posted on Sat, 04 Dec 2021 00:52:17 -0500 by said_r3000

ENCNet: enhance semantic segmentation results through context semantic coding

Project description This project implements the Paddle version of the paper "Context Encoding for Semantic Segmentation (CVPR2018)" by using PaddlePaddle and PaddleSeg suite, and achieves fairly good results. 1, Introduction This paper introduces the context encoding module to capture the global context information and highlight th ...

Posted on Fri, 03 Dec 2021 18:00:24 -0500 by ShadowBlade72

PaddleHub face key point detection: one click to generate crayon Xiaoxin's distant cousin

One click to find crayon Xiaoxin's distant cousin Crayon Xiaoxin should be one of the childhood memories of many little friends. No one doesn't like crayon Xiaoxin's signature thick eyebrows and round little face! No, no! Next, let's use brother Chen as a tool to restore crayon Xiaoxin's distant cousin - Crayon Xiaochen! Let's take a look at ...

Posted on Fri, 03 Dec 2021 17:32:18 -0500 by pitstop

Opencv note 3 image smoothing

1, Convolution definition and matrix form The commonly used smoothing algorithms are Gaussian filter and mean filter based on two-dimensional discrete convolution. And median filter based on statistical method. Suppose there are two matrices   Rotate K 180 degrees (I didn't figure out why)   Then, according to each element of I, f ...

Posted on Fri, 03 Dec 2021 16:17:55 -0500 by cinos11

OpenCV computer vision -- image threshold processing and adaptive threshold Otsu

Threshold processing refers to eliminating pixels in the image that are higher or lower than the threshold. Image threshold processing is mainly to set a threshold: greater than this number is given a value, less than a number is given another value, and the pixel value of the image is changed into the middle of two gray values to realize image ...

Posted on Fri, 03 Dec 2021 09:03:38 -0500 by JCBarry

DenseNet Paper Details and PyTorch Replication

DenseNet 1. ResNet and DenseNet ResNet (Deep Residual Network): By establishing a "short-circuit connection" between the front and back layers, this helps to reverse the propagation of gradients during training, resulting in a deeper CNN network. DenseNet: uses a dense join mechanism, where all layers are connected to each other, a ...

Posted on Wed, 01 Dec 2021 05:16:07 -0500 by rsasalm