~speedprog/mtg/mtg_card_detector.git

			@@ -1,17 +1,71 @@
			import random
			import math
			import cv2
			import numpy as np
			import imutils
			import pandas as pd
			import fetch_data

			card_mask = cv2.imread('data/mask.png')


			class ImageGenerator:
			"""
			A template for generating a training image.
			"""
			def __init__(self, img_bg, cards):
			def __init__(self, img_bg, cards, width, height):
			"""
			:param img_bg: background (textile) image
			:param cards: list of Card objects
			:param width: width of the training image
			:param height: height of the training image
			"""
			self._img_bg = img_bg
			self._cards = cards
			self._img_result = None
			self.img_bg = img_bg
			self.cards = cards
			self.img_result = None
			self.width = width
			self.height = height
			pass

			def display(self):
			"""
			Display the current state of the generator
			:return: none
			"""
			img_bg = cv2.resize(self.img_bg, (self.width, self.height))

			for card in self.cards:
			card_x = int(card.x + 0.5)
			card_y = int(card.y + 0.5)
			print(card_x, card_y, card.theta, card.scale)
			# Scale & rotate card image
			img_card = cv2.resize(card.img, (int(len(card.img[0]) * card.scale), int(len(card.img) * card.scale)))
			mask_scale = cv2.resize(card_mask, (int(len(card_mask[0]) * card.scale), int(len(card_mask) * card.scale)))
			img_mask = cv2.bitwise_and(img_card, mask_scale)
			img_rotate = imutils.rotate_bound(img_mask, card.theta / math.pi * 180)

			# Calculate the position of the card image in relation to the background
			# Crop the card image if it's out of boundary
			card_w = len(img_rotate[0])
			card_h = len(img_rotate)
			card_crop_x1 = max(0, card_w // 2 - card_x)
			card_crop_x2 = min(card_w, card_w // 2 + len(img_bg[0]) - card_x)
			card_crop_y1 = max(0, card_h // 2 - card_y)
			card_crop_y2 = min(card_h, card_h // 2 + len(img_bg) - card_y)
			img_card_crop = img_rotate[card_crop_y1:card_crop_y2, card_crop_x1:card_crop_x2]

			# Calculate the position of the corresponding area in the background
			bg_crop_x1 = max(0, card_x - (card_w // 2))
			bg_crop_x2 = min(len(img_bg[0]), int(card_x + (card_w / 2) + 0.5))
			bg_crop_y1 = max(0, card_y - (card_h // 2))
			bg_crop_y2 = min(len(img_bg), int(card_y + (card_h / 2) + 0.5))
			img_bg_crop = img_bg[bg_crop_y1:bg_crop_y2, bg_crop_x1:bg_crop_x2]

			# Override the background with the current card
			img_bg_crop = np.where(img_card_crop, img_card_crop, img_bg_crop)
			img_bg[bg_crop_y1:bg_crop_y2, bg_crop_x1:bg_crop_x2] = img_bg_crop
			cv2.imshow('Result', img_bg)
			cv2.waitKey(0)
			pass

			def generate_horizontal_span(self):
			@@ -47,7 +101,7 @@
			"""
			A class for storing required information about a card in relation to the ImageGenerator
			"""
			def __init__(self, img, card_info, objects, generator=None, x=None, y=None, theta=None):
			def __init__(self, img, card_info, objects, generator=None, x=None, y=None, theta=None, scale=None):
			"""
			:param img: image of the card
			:param card_info: details like name, mana cost, type, set, etc
			@@ -56,42 +110,73 @@
			:param x: X-coordinate of the card's centre in relation to the generator
			:param y: Y-coordinate of the card's centre in relation to the generator
			:param theta: angle of rotation of the card in relation to the generator
			:param scale: scale of the card in the generator in relation to the original image
			"""
			self._img = img
			self._info = card_info
			self._objects = objects
			self._x = x
			self._y = y
			self._theta = theta
			self.img = img
			self.info = card_info
			self.objects = objects
			self.generator = generator
			self.x = x
			self.y = y
			self.theta = theta
			self.scale = scale
			pass

			def bind_to_generator(self, generator, x=0, y=0, theta=0):
			def bind_to_generator(self, generator, x=0, y=0, theta=0.0, scale=1.0):
			"""
			Bind this card to an ImageGenerator object.
			:param generator: generator to be bound with
			:param x: new X-coordinate for the centre of the card
			:param y: new Y-coordinate for the centre of the card
			:param theta: new angle for the card
			:param scale: new scale for the card
			:return: none
			"""
			self.generator = generator
			self.x = x
			self.y = y
			self.theta = theta
			self.scale = scale
			generator.cards.append(self)
			pass

			def shift(self, x=None, y=None):
			def shift(self, x, y):
			"""
			Apply a X/Y translation on this image
			:param x: amount of X-translation. If range is given, translate by a random amount within that range
			:param y: amount of Y-translation. Refer to x when a range is given.
			:return: none
			"""
			if isinstance(x, tuple) or (isinstance(x, list) and len(x) == 2):
			self.x += random.uniform(x[0], x[1])
			else:
			self.x += x
			if isinstance(y, tuple) or (isinstance(y, list) and len(y) == 2):
			self.y += random.uniform(y[0], y[1])
			else:
			self.y += y
			pass

			def rotate(self, centre, theta=None):
			"""
			Apply a rotation on this image with a centre
			:param centre: coordinate of the centre of the rotation in relation to the centre of this card (self._x, self._y)
			:param theta: amount of rotation in radian. If a range is given, rotate by a random amount within that range
			:param centre: coordinate of the centre of the rotation in relation to the centre of this card
			:param theta: amount of rotation in radian (clockwise). If a range is given, rotate by a random amount within
			that range
			:return: none
			"""
			if isinstance(theta, tuple) or (isinstance(theta, list) and len(theta) == 2):
			theta = random.uniform(theta[0], theta[1])

			# Rotation math
			self.x -= -centre[1] * math.sin(theta) + centre[0] * math.cos(theta)
			self.y -= centre[1] * math.cos(theta) + centre[0] * math.sin(theta)

			# Offset for the coordinate translation
			self.x += centre[0]
			self.y += centre[1]

			self.theta += theta
			pass


			@@ -100,13 +185,44 @@
			Simple struct to hold information about an extracted object
			"""
			def __init__(self, label, key_pts):
			self._label = label
			self._key_pts = key_pts
			self.label = label
			self.key_pts = key_pts


			def main():
			random.seed()

			img_bg = cv2.imread('data/frilly_0007.jpg')
			#img = cv2.imread('data/c16-143-burgeoning.png')

			generator = ImageGenerator(img_bg, [], 1440, 960)
			card_pool = pd.DataFrame()
			for set_name in fetch_data.all_set_list:
			df = fetch_data.load_all_cards_text('data/csv/%s.csv' % set_name)
			card_info = df.iloc[random.randint(0, df.shape[0] - 1)]
			# Currently ignoring planeswalker cards due to their different card layout
			is_planeswalker = 'Planeswalker' in card_info['type_line']
			if not is_planeswalker:
			card_pool = card_pool.append(card_info)

			for i in [random.randrange(0, card_pool.shape[0] - 1, 1) for _ in range(10)]:
			card_info = card_pool.iloc[i]
			img_name = '../usb/data/png/%s/%s_%s.png' % (card_info['set'], card_info['collector_number'],
			fetch_data.get_valid_filename(card_info['name']))
			print(img_name)
			card_img = cv2.imread(img_name)
			if card_img is None:
			fetch_data.fetch_card_image(card_info, out_dir='../usb/data/png/%s' % card_info['set'])
			card_img = cv2.imread(img_name)
			card = Card(card_img, card_info, None)

			card.bind_to_generator(generator, x=random.uniform(0, generator.width), y=random.uniform(0, generator.height),
			theta=0, scale=0.5)
			card.shift([-100, 100], [-100, 100])
			card.rotate((0, 0), [-math.pi, math.pi])
			generator.display()
			pass


			if __name__ == '__main__':
			main()
			main()