Category "computer-vision"

How to determine between inner and outer contour with Python OpenCV?

I want to have a polygon region of interest and would like to perform an object detection algorithm within this area. For example, the user gives some points an

SIFT match computer vision

I need to determine the location of yogurts in the supermarket. Source photo looks like With template: I using SIFT to extract key points of template: img1 =

Compute Fundamental Matrix of 2 Calibrated Cameras

I have 2 calibrated cameras: (R1, T1, K1) and (R2, T2, K2) in which R:3x3 rotation matrix to world coordinate, T:3x1 translation matrix to world coordinate, K:

Calculating the rotation and translation (external parameters) of multiple cameras relative to a single camera?

Given a set of 5 cameras positioned as shown in the image below which capture the top, front, rear, left and right views of an object placed in the center. Als

Possible solutions to process two images into one [closed]

Hi Im new to computing vision and I am currently stuck at this problem. I have 2shots of component(One is classing RGB and other is IR) and I

How to crop and extract stamp from an image with OpenCV?

I am new to OpenCV. I have a "simple" image of a stamp that I have already processed a bit, as you can see in the code below. Now I have the problem of cropping

Texture transformation

I am working on eigen transformation - texture to detect object from an image. This work was published in ACCV 2006 page number 71. Full pdf is available on cha

Epipolar line using essential matrix for calibrated camera is wrong

I wanted to get the essential or fundamental matrix for calibrated cameras (R, T, Ks are given). There are two cameras. Is this step correct to get the essentia

How To Detect There Is A Piece On A Chess Board

I'm Tring To Convert A Chess Board Image Into A Matrix With The Pieces On The Board. like so: [ [P, P, P, P, P, P, P, P,] [P, P, P, P, P, P, P, P,] [-, -, -,

Another approach to create and form Tfrecord for training and testing data

I am currently using this command to create a train.record file !py generate_tfrecord.py -x C:/Users/Desktop/dataset/Workspace/images/train -l C:/User/Desktop/d

Another approach to create and form Tfrecord for training and testing data

I am currently using this command to create a train.record file !py generate_tfrecord.py -x C:/Users/Desktop/dataset/Workspace/images/train -l C:/User/Desktop/d

Realsense LiDAR - What exactly does the infrared stream depict and what is it's exploitation value?

TLDR: Since RS L515 is not a multi-spectral camera, what is the reason of providing an infrared stream, and what can it be used for? I have just purchased a Re

How to calculate 2d X-ray image projection given camera orientation (theta, phi, distance) and 3d object coordinates

I'm trying to recreate an X-ray projection I have 3D coordinates of an object of shape (100,3), spherical coordinates of the camera (theta, phi, distance), dist

Yolov5s on Openvino

I have trained a model using yolov5 and it is working just fine: My ultimate goal is to use a model that I have trained on custom data (to detect the hook and

How can I determine validation loss for faster RCNN (PyTorch)?

I followed this tutorial for object detection: https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html and their GitHub repository that contains th

Predict Image loose saturation compare to the original after training

I am trying super-resolution of RGB images. I have an input image and output image I run the model and when I predict the output the image loses saturation com

Raspberry Pi Training model using Google Coral

Is it possible to train EfficientDet lite model using TPU Google Coral accelerator on Raspberry Pi 4 (64 bit os bullseye)?

How many dimensions is a RGB image?

I first thought it would be 3 dimensions (one for R, one for G, one for B). However what about the width and height? More a physics/image processing question I

How to remove the background from an image

I want to remove the background, and draw the outline of the box shown in the image(there are multiple such images with a similar background) . I tried multipl

Deeplabv3 validation loss is nan

I had around 360 images splitted %25 as validation data. I could train Deeplabv3 with those images without any issue. Later on I have added around 40 images wi