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I'm using this VBscript code to ping a list of computers in a notepad and store the ping results in a csv file.

All computers stored in a notepad file are now availables (cmd >>> ping servername), but the results in csv file are all DOWN.

I have tried also stored in notepad file one computer unavailable, but the results ping in a csv file are all DOWN...

Any suggestion?

My code below

This is a problem concerning stereo calibration and rectification using openCV (vers. 4.5.1.48) and Python (vers. 3.8.5).

I have two cameras placed on the same axis as shown on the image below:

The left (upper) camera is taking pictures with 640x480 resolution, while the right (lower) camera is taking pictures with 320x240 resolution. The goal is to find an object on the right image (320x240) and crop out the same object on the left image (640x480). In other words; To transfer the rectangle that makes up the object in the right image, to the left image. This idea is sketched below.

A red object is found on the right image and I need to transfer it's location to left image and crop it out. The objects is placed on a flat plane 30cm from the camera lenses. In other words; The distance (depth) from the two cameras lenses to the flat plane is constant (30cm).

This main question is about how transfer a location from one image to another, when two cameras are placed side by side, when the images are of different resolutions and when the depth is (fairly) constant. It's not a question about finding objects.

To solve this problem, as far as I know, stereo calibration must be used, and I have found the following articles/code, among other things:

• https://github.com/bvnayak/stereo_calibration/blob/master/camera_calibrate.py
• https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_calib3d/py_calibration/py_calibration.html
• https://python.plainenglish.io/the-depth-i-stereo-calibration-and-rectification-24da7b0fb1e0

Below are an example of a calibration pattern that I used:

I have 25 photos of the calibration pattern with the left and right camera. The pattern is 5x9 and the square sizes is 40x40 mm.

Based on my knowledge, I have written the following code:

I am trying to get rid of barrel and other distortive effects in images to apply specifically to coordinates. I am using openCV with the chessboard, I have managed to get accurate corners - however, when I apply these corners I find that they do not return what I expect.

image: the orginal image: calibrationImage.bmp

I am using a standard 640x480 webcam. I have done Camera calibration in OpenCV in Python 3. This the Code I am using. The code is working and giving me the Camera Matrix and Distortion Coefficients successfully. Now, How can I find how many millimeters are there in 640 pixels in my scene image. I have attached the webcam above a table horizontally and on the table, a Robotic arm is placed. Using the camera I am finding the centroid of an object. Using Camera Matrix my goal is to convert the location of that object (e.g. 300x200 pixels) to the millimeter units so that I can give the millimeters to the robotic arm to pick that object. I have searched but not find any relevant information. Please tell me that is there any equation or method for that. Thanks a lot!

In the image bellow, we see a defined world plane coordinate (X,Y,0) where Z=0. The camera as we can see is heading towards the defined world plane.

World reference point is located on the top left of the Grid (0,0,0). The distance between every two yellow point is 40 cm

I've calibrated my camera using the checkerboard and then used the built-in function cv2.solvePnP in order to estimate the rotation and translation vector of the camera with respect to my defined world coordinates. The results are as follows:

I got a HTA application that runs when the user log on..

The problem is sometimes the HTA file opens to quickly, before the internet is ready and fails to load some of the scripts that need internet connection..

So my plan is to add a ping test before I call the scripts and then pause calls until the internet connection is ready..

Update:

i'm working on a project where i need to calibrate my camera in order to get the camera matrix (Intrinsic) using the below code. it returns with the following error:`

The code:

I have followed the tutorial at https://docs.opencv.org/master/d7/d53/tutorial_py_pose.html based on calibration data obtained following the tutorial at https://docs.opencv.org/master/dc/dbb/tutorial_py_calibration.html.

The end objective is to obtain the pose of the checkerboard with respect to the camera, but first I am trying to draw the checkerboard's reference frame.

The input data is a set of 2 snapshots I have taken of my webcam feed pointed at a printed 10x7 checkerboard.

The calibration seems to succeed: But the output is totally wrong: Here is the patched-up code:

I used OpenCV's findChessboardCorners on a few checkerboard images (40~) and about 27 seemed to find the corners accurately. How does one proceed from here? Do I calculate the reprojection error over just the correctly identified images? Is this normal to expect?

Some of the correctly identified images -

Some of the incorrectly identified images -

How I'm calibrating my images -