opencv training

OpenCV image matching algorithm-sift, opencv image sift //utils.h#ifndef _UTILS_H#define _UTILS_H#include //utils.cpp#include "stdafx.h"#include "utils.h"#include // Sift. cpp # include "stdafx. h "# include Use INFO sift_info;sift(path1,path2,sift_info,true);showInfo(sift_info);

Author: gnuhpcSource: http://www.cnblogs.com/gnuhpc/ I called Yu this morning. I didn't know anyone before. I recently read this book and found that I was really uncomfortable reading it. I didn't reply to any errors I submitted on the forum. Mr Yu is very kind. After all, everyone is a young man. He told me that the change will be fixed.I personally think that people who learn opencv through this book should pay attention to the following:1. For fun

Using static initialization method, you can stamp the link below to view the official document introductionhttp://docs.opencv.org/doc/tutorials/introduction/android_binary_package/dev_with_OCV_on_Android.html# Application-development-with-static-initializationIf the project does not contain a JNI part, the simpler approach is:1) write Off Opencvloader.initasync (Opencvloader.opencv_version_2_4_3, this, mloadercallback); Set the top of the statement directly to success.public void Onresume ()

Opencv learning notes 4 and opencv learning notes 4 Generally, more advanced morphological transformations, such as open and closed operations, morphological gradient, "Top Hat", and "Black Hat", can be combined with common corrosion expansion techniques to achieve the desired effect. 1. open operation:First corrosion and then expansion, used to eliminate small objects, separation objects at slender points,

#OpenImg. py From numpy Import * import cv2 win_name = ' mypicture ' #窗口名称 #cv2. Window_normal: The window can be resized manually Cv2.namedwindow (Win_name, Cv2. Window_normal) img = cv2.imread (' mypicture.jpg ', 1) # 0 Black-and-White Picture: 1 Color picture cv2.imshow (Win_name, img) #显示图片 Cv2.waitkey (0) cv2.destroyallwindows () #销毁创建的对象 Above for my Python code to open a picture with OpenCV Error is: Assertion failed There are two rea

The deeplearning feature is integrated in the Opencv3.3 version. It implements the reasoning of the two frameworks for Caffe and TensorFlow, but does not support training. This paper uses Caffe training files to detect targets. The whole idea is to read the video file first, then load the model file, and finally read each frame of the video to detect it. System: ubuntu16.04 python:2.7 Model file: MOBILENET-

[OpenCV] ry distortion correction and local enhancement, opencv ry distortion correction1. Principle During image acquisition, due to the non-linearity of the imaging system and the changes in the attitude of the aircraft, the image after imaging may be out of proportion or even distorted compared with the original image. This type of image degradation is known as geometric distortion (distortion ).This is

C ++ opencv code tutorial for converting a blue background photo into a white background photo, opencv codeC ++ opencv code tutorial for converting a blue background photo into a white background photo. # Include

Original works, reproduced please indicate the source In order to enhance the force lattice, decided to learn OpenCV, think if you can face recognition, fixed-point landing, let the plane fly with their own. It's a little bit exciting to think about it. This is just thinking, can learn not to know yet. Ha.. 1: Download first:http://sourceforge.net/projects/opencvlibrary/ can go down here, I'm under 2.4.10 version, window under. feel that the

Ycrcb Ycrcb is widely used in video compression and digital image processing. It is a color space based on human eyes. In opencv, the formula for converting from RGB space to ycrcb space is as follows: Note that the formula from RGB to ycrcb is not unique. Here, opencv only uses the formula in Intel IPP. The Delta value is as follows: Here we use 8-bit RGB channels as an example, that is, Delta tak

Allocate and release image space Allocate image space:Iplimage * cvcreateimage (cvsize size, int depth, int channels );Size: cvsize (width, height );Depth: ipl_depth_8u, ipl_depth_8s, ipl_depth_16u,Ipl_depth_16s, ipl_depth_32s, ipl_depth_32f, ipl_depth_64fChannels: 1, 2, 3 or 4.Note that the data is cross-access. The color image data is arranged as B0 G0 R0 B1 G1 R1...Example:// Allocate a single-channel byte ImageIplimage * img1 = cvcreateimage (cvsize (640,480), ipl_depth_8u, 1 );// Allocat

Opencv experiences (1) The second chapter of learning opencv mainly introduces some common and interesting functions and data types, so that students at the beginning are more interested in image processing, although I do not understand the internal experiment of the function and the meaning of some defined constants, I am still very happy after learning Chapter 2. At least I know some basics of image proce

5 VideoGoal? Learn to read video files, display videos, save video files? Learn to get and display video from the camera? You will learn these functions: Cv2. Videocapture (), Cv2. Videowrite ()5.1 Capturing video with the cameraWe often need to use the camera to capture live images. The OpenCV provides this application with aA very simple interface. Let's use the camera to capture a video and convert it into grayscale videoShow up. Let's start with t

First of all, interest-related, I am the founder and lecturer of training institutions, but this does not prevent me from expressing my views on this. Let's see what kind of people are suitable for training institutions first. To answer this question, you need to change the angle first. The angle is, what is your motivation for learning a language? 99% of the respondents were: get a job. Whether this is the

This article mainly introduced the TensorFlow realizes the random training and the batch training method, now shares to everybody, also gives everybody to make a reference. Come and see it together. TensorFlow Update model variables. It can manipulate one data point at a time, or it can manipulate large amounts of data at once. An operation on a training example

/hard_neg.txt-C hog/hard/hist.txt-M 0-T 0 -- no_nonmax 1 -- avsize 0 -- margin 0 -- scaleratio 1.2-l n-W 64,128-C 8 8-n-B 9-G 8-S 0 -- wtscale 2 -- maxvalue0.2 --Epsilon 1 -- fullcirc 0-V 3 -- proc rgb_sqrt -- norm l2hys--------False +/-The classification result will be written into hog/hard/hard_neg.txt7. Add hard to neg and calculate the rhog feature again.. /Bin // dump_rhog-W 64,128-C 8, 8-N 2, 2-B 9-G 8-S 0 -- wtscale 2 -- maxvalue 0.2 -- Epsilon 1 -- fullcirc 0-V 3 -- proc rgb_sqrt -- norm

1.OpenCV Download and installation configurationOPENCV: http://opencv.org/downloads.htmlLatest Version: opencv3.0.0Note: The supported visual studio2013We can download stable version: opencv2.4.11Install: Double-click opencv-2.4.11 to extract to a directoryConfiguration: In the System environment variable path, add the appropriate path.32-bit add: C:\opencv\openc

Use Product thinking for training and product thinking trainingThe IT industry seems to be just one step away from entrepreneurship. Every day, the story shows the story of a certain ox leaving the big organization to start his own business. If you analyze their motivations, you will find that they are often inseparable from pain points, trial and error, fast iteration, and excellent user experience. Then another group of big cows used their Internet

interface and common menu introductionNineth Lesson: Cabling ConsiderationsTenth lesson: Common circuit Board design shortcut key Introduction11th Lesson: Advanced Layout Guide12th Lesson: Introduction of Multilayer printed circuit board designLesson 13th: Analysis of typical design examples14th: Electromagnetic compatibility (EMC) Introduction, EMC Design PCB level IntroductionThe 15th lesson: design Example Proofing, small product production, commissioning;16th Lesson: Layout Design SummaryAr

don't know how to use the reserve function to open up. This statement runs for about 100 ms. Let's look at this code again today and find that I am too stupid. Why should we use vector Mat test1 = mat _ The result only takes 0.2 ms !!! Comrades, STL seems so powerless in front of mat! I decided to spend a few days reading the core of the reference to thoroughly understand the opencv data structure. We also feel that mat is compatible with STL, an