black rose cards yugioh ArtStation Board Games & Card Games

4 Dragonite: Expedition (Holo Rare) $299.48 A Cute Standout While this Dragonite artwork leans heavily into a cartoonish, lighthearted style, this card's value is no joke, as some of the best copies sell for almost $300 if you're lucky enough to find one

Rest assured, it is our every intention to rectify one of these things. Yu-Gi-Oh would not be the global success it is without Kazuki Takahashis iconic designs, the statement continued, to say nothing of the countless other works of card art that have since materialized from thin air and consequently cannot be credited

Shipping available on this item USPS First Class

Creature - Druid Phyrexian Elesh Norn Vigilance Whenever a source an opponent controls deals damage to you or a permanent you control, that source's controller loses 2 life unless they pay

This is the card This is what i do: Read the card and convert it to grayscale import cv2 import numpy as np import pytesseract from PIL import Image frame = cv2.imread(" ") imgray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) Get the outer contour and resize the image edged = cv2.Canny(imgray, 30, 200) contours, hierarchy = cv2.findContours(edged, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) if len(contours) != 0: # find the biggest countour (c) by the area c = max(contours, key=cv2.contourArea) x, y, w, h = cv2.boundingRect(c) # draw the biggest contour (c) in green # cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2) crop_frame = frame[y: y + h, x: x + w] crop_frame = cv2.resize(crop_frame, (450, 600), interpolation=cv2.INTER_AREA) Cut the bottom right corner height, width, channels = crop_frame.shape bottom_right_corner = crop_frame[560: 600, 300: 450] Read the bottom corner text with pytesseract ocr gray = cv2.cvtColor(bottom_right_corner, cv2.COLOR_BGR2GRAY) image_ = Image.fromarray(gray) text = pytesseract.image_to_string(image_) Final code import cv2 import numpy as np import pytesseract from PIL import Image frame = cv2.imread(" ") imgray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) edged = cv2.Canny(imgray, 30, 200) contours, hierarchy = cv2.findContours(edged, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) if len(contours) != 0: # find the biggest countour (c) by the area c = max(contours, key=cv2.contourArea) x, y, w, h = cv2.boundingRect(c) # draw the biggest contour (c) in green # cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2) crop_frame = frame[y: y + h, x: x + w] crop_frame = cv2.resize(crop_frame, (450, 600), interpolation=cv2.INTER_AREA) height, width, channels = crop_frame.shape bottom_right_corner = crop_frame[560: 600, 300: 450] gray = cv2.cvtColor(bottom_right_corner, cv2.COLOR_BGR2GRAY) cv2.imshow("gray", gray) cv2.waitKey(0) image_ = Image.fromarray(gray) text = pytesseract.image_to_string(image_) print("Text: ", text)