I read all pictures from my pic directory and then convert them each to gray-scale with canny edge detections before writing it all to a video. But, when I use
I want to build an OpenCV library with Qt support from the source with CMake and Visual Studio 2019. Here are steps I did: Downloaded both opencv-4.5.5 and open
I have a TfLite model that takes a standardized float32 image as an input, the pixel range should convert from the [0~255] to [-1~1] I wrote a demo function but
I built my program with wxWidgets Library and OpenCV. I set up my project by first including wxWidgets property file as follows: Property manager where property
This question is an extension to my previous question asking about how to detect a pool table's corners. I have found the outline of a pool table, and I have ma
I would like to know how I can print the tracking coordinate rectangle onto the video. I want the coordinate of the center point of the rectangle and, of course
I'm using OpenCV's haar cascade(haar-classifier) to detect faces in the image and storing those faces(cropped from the image) in one folder. I've around 10000+
Hello i am trying to get this canny edge detection in this but what I achieve is how to remove noise from the background like the example one and only show th
I have a depth camera (Intel Realsense L515) and I do like to record a video of the depth. I have seen this answer which is using FFMPEG, but I didn't know how
Mat m = Mat(4, 4, CV_8UC3); IplImage * iplImage = cvIplImage(m); error: cannot convert ‘_IplImage’ to ‘IplImage*’ {aka ‘_IplImage
I have a collection of images from tissue sections which contain a specific area of interest. Given this is biology, each image is slightly different (position
I have a folder comprising 20 images (.jpg format). I am trying to obtain the histogram of each of the images and store it as a Pandas data frame. My code is sh
I am creating an Android library that uses OpenCV via NDK. It doesn't require any Java parts of OpenCV, native parts only, so I decided not to use OpenCV for An
I am trying to identify the checkboxes in the image The top 4 are identified but the bottom 2 are not. At the same time I would like to be able to get rid of th
I was trying to read the 600th frame of a video using cv2.VideoCapture. However, I found that the following two methods both successfully read an image but the
I am trying to denoise images using Fast Fourier Transformation (FFT) in python using the reference from this site. Unfortunately my output image is becoming c
I discovered the other day that my camera lens or perhaps tilted sensor is causing an object centered in front of the camera to appear off center in the capture
I tried to test Picam with the code below with Raspberry Pie. import cv2 def main(): camera = cv2.VideoCapture(-1) camera.set(3,640) camera.set(4,4
I'm trying to read images from an IDS GV-5240CP camera plugged to my laptop via ethernet using Python and OpenCV. This is what I am supposed to get : A 1280x102
Input Trying to import these libraries and cv2 is throwing an error: import argparse import cv2 from datetime import datetime import keyboard as key import imut