import random
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import math
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import cv2
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import numpy as np
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import imutils
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import pandas as pd
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import fetch_data
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card_mask = cv2.imread('data/mask.png')
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class ImageGenerator:
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"""
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A template for generating a training image.
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"""
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def __init__(self, img_bg, cards, width, height):
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"""
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:param img_bg: background (textile) image
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:param cards: list of Card objects
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:param width: width of the training image
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:param height: height of the training image
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"""
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self.img_bg = img_bg
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self.cards = cards
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self.img_result = None
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self.width = width
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self.height = height
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pass
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def display(self):
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"""
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Display the current state of the generator
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:return: none
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"""
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img_bg = cv2.resize(self.img_bg, (self.width, self.height))
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for card in self.cards:
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card_x = int(card.x + 0.5)
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card_y = int(card.y + 0.5)
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print(card_x, card_y, card.theta, card.scale)
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# Scale & rotate card image
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img_card = cv2.resize(card.img, (int(len(card.img[0]) * card.scale), int(len(card.img) * card.scale)))
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mask_scale = cv2.resize(card_mask, (int(len(card_mask[0]) * card.scale), int(len(card_mask) * card.scale)))
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img_mask = cv2.bitwise_and(img_card, mask_scale)
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img_rotate = imutils.rotate_bound(img_mask, card.theta / math.pi * 180)
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# Calculate the position of the card image in relation to the background
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# Crop the card image if it's out of boundary
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card_w = len(img_rotate[0])
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card_h = len(img_rotate)
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card_crop_x1 = max(0, card_w // 2 - card_x)
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card_crop_x2 = min(card_w, card_w // 2 + len(img_bg[0]) - card_x)
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card_crop_y1 = max(0, card_h // 2 - card_y)
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card_crop_y2 = min(card_h, card_h // 2 + len(img_bg) - card_y)
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img_card_crop = img_rotate[card_crop_y1:card_crop_y2, card_crop_x1:card_crop_x2]
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# Calculate the position of the corresponding area in the background
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bg_crop_x1 = max(0, card_x - (card_w // 2))
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bg_crop_x2 = min(len(img_bg[0]), int(card_x + (card_w / 2) + 0.5))
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bg_crop_y1 = max(0, card_y - (card_h // 2))
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bg_crop_y2 = min(len(img_bg), int(card_y + (card_h / 2) + 0.5))
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img_bg_crop = img_bg[bg_crop_y1:bg_crop_y2, bg_crop_x1:bg_crop_x2]
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# Override the background with the current card
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img_bg_crop = np.where(img_card_crop, img_card_crop, img_bg_crop)
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img_bg[bg_crop_y1:bg_crop_y2, bg_crop_x1:bg_crop_x2] = img_bg_crop
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cv2.imshow('Result', img_bg)
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cv2.waitKey(0)
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pass
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def generate_horizontal_span(self):
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"""
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Generating the first scenario where the cards are laid out in a straight horizontal line
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:return: none
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"""
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pass
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def generate_vertical_span(self):
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"""
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Generating the second scenario where the cards are laid out in a straight vertical line
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:return: none
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"""
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pass
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def generate_fan_out(self):
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"""
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Generating the third scenario where the cards are laid out in a fan shape
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:return: none
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"""
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pass
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def export_training_data(self, out_dir):
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"""
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Export the generated training image along with the txt file for all bounding boxes
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:return: none
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"""
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pass
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class Card:
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"""
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A class for storing required information about a card in relation to the ImageGenerator
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"""
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def __init__(self, img, card_info, objects, generator=None, x=None, y=None, theta=None, scale=None):
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"""
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:param img: image of the card
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:param card_info: details like name, mana cost, type, set, etc
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:param objects: list of ExtractedObjects like mana & set symbol, etc
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:param generator: ImageGenerator object that the card is bound to
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:param x: X-coordinate of the card's centre in relation to the generator
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:param y: Y-coordinate of the card's centre in relation to the generator
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:param theta: angle of rotation of the card in relation to the generator
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:param scale: scale of the card in the generator in relation to the original image
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"""
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self.img = img
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self.info = card_info
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self.objects = objects
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self.generator = generator
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self.x = x
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self.y = y
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self.theta = theta
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self.scale = scale
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pass
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def bind_to_generator(self, generator, x=0, y=0, theta=0.0, scale=1.0):
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"""
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Bind this card to an ImageGenerator object.
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:param generator: generator to be bound with
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:param x: new X-coordinate for the centre of the card
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:param y: new Y-coordinate for the centre of the card
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:param theta: new angle for the card
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:param scale: new scale for the card
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:return: none
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"""
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self.generator = generator
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self.x = x
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self.y = y
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self.theta = theta
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self.scale = scale
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generator.cards.append(self)
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pass
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def shift(self, x, y):
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"""
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Apply a X/Y translation on this image
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:param x: amount of X-translation. If range is given, translate by a random amount within that range
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:param y: amount of Y-translation. Refer to x when a range is given.
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:return: none
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"""
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if isinstance(x, tuple) or (isinstance(x, list) and len(x) == 2):
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self.x += random.uniform(x[0], x[1])
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else:
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self.x += x
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if isinstance(y, tuple) or (isinstance(y, list) and len(y) == 2):
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self.y += random.uniform(y[0], y[1])
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else:
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self.y += y
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pass
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def rotate(self, centre, theta=None):
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"""
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Apply a rotation on this image with a centre
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:param centre: coordinate of the centre of the rotation in relation to the centre of this card
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:param theta: amount of rotation in radian (clockwise). If a range is given, rotate by a random amount within
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that range
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:return: none
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"""
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if isinstance(theta, tuple) or (isinstance(theta, list) and len(theta) == 2):
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theta = random.uniform(theta[0], theta[1])
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# Rotation math
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self.x -= -centre[1] * math.sin(theta) + centre[0] * math.cos(theta)
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self.y -= centre[1] * math.cos(theta) + centre[0] * math.sin(theta)
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# Offset for the coordinate translation
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self.x += centre[0]
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self.y += centre[1]
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self.theta += theta
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pass
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class ExtractedObject:
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"""
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Simple struct to hold information about an extracted object
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"""
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def __init__(self, label, key_pts):
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self.label = label
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self.key_pts = key_pts
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def main():
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random.seed()
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img_bg = cv2.imread('data/frilly_0007.jpg')
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#img = cv2.imread('data/c16-143-burgeoning.png')
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generator = ImageGenerator(img_bg, [], 1440, 960)
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card_pool = pd.DataFrame()
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for set_name in fetch_data.all_set_list:
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df = fetch_data.load_all_cards_text('data/csv/%s.csv' % set_name)
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card_info = df.iloc[random.randint(0, df.shape[0] - 1)]
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# Currently ignoring planeswalker cards due to their different card layout
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is_planeswalker = 'Planeswalker' in card_info['type_line']
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if not is_planeswalker:
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card_pool = card_pool.append(card_info)
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for i in [random.randrange(0, card_pool.shape[0] - 1, 1) for _ in range(10)]:
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card_info = card_pool.iloc[i]
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img_name = '../usb/data/png/%s/%s_%s.png' % (card_info['set'], card_info['collector_number'],
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fetch_data.get_valid_filename(card_info['name']))
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print(img_name)
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card_img = cv2.imread(img_name)
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if card_img is None:
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fetch_data.fetch_card_image(card_info, out_dir='../usb/data/png/%s' % card_info['set'])
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card_img = cv2.imread(img_name)
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card = Card(card_img, card_info, None)
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card.bind_to_generator(generator, x=random.uniform(0, generator.width), y=random.uniform(0, generator.height),
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theta=0, scale=0.5)
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card.shift([-100, 100], [-100, 100])
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card.rotate((0, 0), [-math.pi, math.pi])
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generator.display()
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pass
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if __name__ == '__main__':
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main()
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