From bb34d4e13da0f4753fbdefee837f54b16149d3ef Mon Sep 17 00:00:00 2001
From: Edmond Yoo <hj3yoo@uwaterloo.ca>
Date: Thu, 30 Aug 2018 00:45:21 +0000
Subject: [PATCH] Skeleton adjustment, partial implementiation of image display for generator
---
transform_data.py | 196 ++++++++++++++++++++++++++++++++++++++++++++----
1 files changed, 178 insertions(+), 18 deletions(-)
diff --git a/transform_data.py b/transform_data.py
index 3923cac..88d693e 100644
--- a/transform_data.py
+++ b/transform_data.py
@@ -1,17 +1,93 @@
+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:
+ 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)
+ print(len(img_rotate[0]), len(img_rotate))
+
+ # 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 = min(0, card_w // 2 - card.x)
+ #card_crop_x2 = min(card_w, card_w // 2 + len(img_bg[0]) - card.x)
+ #card_crop_y1 = min(0, card_h // 2 - card.y)
+ #card_crop_y2 = min(card_h, card_h // 2 + len(img_bg) - card.y)
+ card_crop_x1 = card_w // 2 - card.x
+ card_crop_x2 = card_w // 2 + len(img_bg[0]) - card.x
+ card_crop_y1 = card_h // 2 - card.y
+ card_crop_y2 = card_h // 2 + len(img_bg) - card.y
+
+ img_card_crop = img_rotate[max(0, card_crop_y1):min(card_h, card_crop_y2),
+ max(0, card_crop_x1):min(card_w, card_crop_x2)]
+ #print(card_crop_x1, card_crop_x2, card_crop_y1, card_crop_y2)
+ print(len(img_card_crop[0]), len(img_card_crop))
+
+ # 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]
+ #bg_crop_x1 = card.x - (card_w // 2)
+ #bg_crop_x2 = int(card.x + card_w / 2 + 0.5)
+ #bg_crop_y1 = card.y - (card_h // 2)
+ #bg_crop_y2 = int(card.y + card_h / 2 + 0.5)
+ #img_bg_crop = img_bg[max(0, bg_crop_y1):min(len(img_bg), bg_crop_y2),
+ # max(0, bg_crop_x1):min(len(img_bg[0]), bg_crop_x2)]
+ #print(bg_crop_x1, bg_crop_x2, bg_crop_y1, bg_crop_y2)
+ print(len(img_bg_crop[0]), len(img_bg_crop))
+
+ #cv2.circle(img_bg, (card.x, card.y), 2, (0, 0, 255), 3)
+ #cv2.rectangle(img_bg, (0, 0), (len(img_rotate[0]), len(img_rotate)), (0, 255, 0), 3)
+ #cv2.rectangle(img_bg, (bg_crop_x1, bg_crop_y1), (bg_crop_x2, bg_crop_y2), (255, 0, 0), 3)
+ #cv2.imshow('test', img_bg)
+ #cv2.waitKey(0)
+
+ mask1 = img_card_crop[:, :, 1]
+ a_mask1 = np.stack([mask1] * 3, -1)
+ img_bg_crop = np.where(a_mask1, img_card_crop[:, :, 0:3], 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 +123,7 @@
"""
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 +132,78 @@
: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])
+ x = self.x.copy()
+ y = self.y.copy()
+
+ # Translate the coordinate to make the centre of rotation be at (0, 0)
+ x -= centre[0]
+ y -= centre[1]
+
+ # Do the rotation math
+ x_rotate = y * math.sin(theta) + x * math.cos(theta)
+ y_rotate = y * math.cos(theta) - x * math.sin(theta)
+
+ # Negate the initial offset
+ self.x = x_rotate + centre[0]
+ self.y = y_rotate + centre[1]
+ self.theta += theta
pass
@@ -100,13 +212,61 @@
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.randint(0, generator.width), y=random.randint(0, generator.height),
+ theta=random.uniform(0, math.pi / 2), scale=0.5)
+ generator.display()
+
+ '''
+ img_mask = cv2.bitwise_and(img, mask)
+ img_rotate = imutils.rotate_bound(img_mask, 45)
+
+ #cv2.imshow('rotated', img_rotate)
+ #cv2.waitKey(0)
+
+ mask1 = img_rotate[:, :, 1]
+ cv2.imshow('mask', mask1)
+ a_mask1 = np.stack([mask1] * 3, -1)
+ cv2.imshow('a_mask', a_mask1)
+
+ img_bg = cv2.resize(img_bg, (len(img_rotate[0]), len(img_rotate)))
+ final = np.where(a_mask1, img_rotate[:, :, 0:3], img_bg)
+ final = cv2.resize(final, (len(final[0]) // 2, len(final) // 2))
+ cv2.imshow('final', final)
+ cv2.waitKey(0)
+ '''
pass
if __name__ == '__main__':
- main()
\ No newline at end of file
+ main()
--
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