Nov 30, 2020 · I have a card with multiple objects in one image and I want to crop the card using width and height or color of the card. I can crop using code below: import cv2 img = cv2.imread('/Users/akram/Down...

Jul 18, 2018 · One of many approaches is described in my answer, and you can find many more by looking for terms like "image segmentation" or "object detection". This solution is with respect to the image you have provided and the implementation is in OpenCV. Code: if cv2.contourArea(c) > 500: count+=1. cv2.drawContours(im2, [c], -1, (0, 255, 0), 2) Result:

I am trying to implement some image processing using OpenCV and Java to extract a card out of an image. Following is my approach: Convert to BGR image; Convert to GRAY image; Apply GaussianBlur; Apply Canny Edge detection; Dilate; Find contours; Find the largest contour; Find corners of the largest contour using approxPolyDP

Jun 2, 2024 · This article will guide you through building an image recognition application using Java and Python, leveraging their strengths to create a robust and efficient system. We will explore the...

PyImageJ provides a set of wrapper functions for integration between ImageJ2 and Python. It also supports the original ImageJ API and data structures.

Jan 13, 2020 · from PIL import Image, ImageDraw, ImageFont import os, sys """ This script creates a standard playing deck of cards(52). Tested on windows and linux - OS users will have to modify the font type and font location.

This repository contains software for image recognition of playing cards. The software is sophisticated enough to recognize even cases when multiple cards are in one image and when cards are partially covering each other.

May 18, 2022 · My input will be from a camera with poor to high quality, and the common case should be 1 card at a time (so I could automate the card sorting with a raspberry). Here’s what I though to do in the first place: Detection the card’s edition (if it has one) + detection and reading name to reduce matches. What would be the best approach ?

Oct 10, 2017 · However, figuring out how to 1) get the TensorFlow tools needed to train my own object detection RCNN network on my Windows PC, 2) train a network on labeled images of cards, 3) use my trained network, and 4) get the network to run on the Raspberry Pi has been anything but trivial.

Aug 9, 2020 · Here are 6 public repositories matching this topic... A playing card detection plugin for ImageJ. Add a description, image, and links to the playing-cards topic page so that developers can more easily learn about it. To associate your repository with the playing-cards topic, visit your repo's landing page and select "manage topics."