Category "computer-vision"

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

Fast and Robust Image Stitching Algorithm for many images in Python?

I have a stationary camera which takes photos rapidly of the continuosly moving product but in a fixed position just of the same angle (translation perspective)

Image segementation dataset format

I'm following this tutorial: Tensorflow Image Segmentation I want to make my own dataset. Ideally, following the same format as the Oxford pet dataset used in

ImageDataBunch function is not defined-FastAI windows

I am trying to install fastai in my windows 10. My laptop has no GPU, I am using pip in cmd to install fastai. In pip page, they mentioned to install pytroch be

Pytorch RuntimeError: CUDA out of memory with a huge amount of free memory

While training the model, I encountered the following problem: RuntimeError: CUDA out of memory. Tried to allocate 304.00 MiB (GPU 0; 8.00 GiB total capacity; 1

import pyzbar.pyzbar - Unable to find zbar shared library

I want to make a script for detecting and reading QR codes from photos. I would like to use PyZbar for that, but I have a problem with some errors. I'm working

Opencv for Unity - Camera position inaccurate by factor of ~2

I am having an issue getting accurate aruco pose estimation. The transform of the AR object relative to camera is a factor ~2 smaller than it should be. In the

Improve edge detection using opencv

so I am working on a project to scan analog photos. The program should detect the edges and crop it automatically. For that I am using Python and OpenCV. My pro