From d4d30efccd55c458ecbf0cda7c118d5493cdb4f4 Mon Sep 17 00:00:00 2001
From: Edmond Yoo <hj3yoo@uwaterloo.ca>
Date: Mon, 03 Sep 2018 23:41:13 +0000
Subject: [PATCH] scenario generations (except fanout), training data export
---
transform_data.py | 428 +++++++++++++++++++++++++++++++++++++++++++++++++----
1 files changed, 395 insertions(+), 33 deletions(-)
diff --git a/transform_data.py b/transform_data.py
index 3923cac..e08e258 100644
--- a/transform_data.py
+++ b/transform_data.py
@@ -1,45 +1,299 @@
+import random
+import math
+import cv2
+import numpy as np
+import imutils
+import pandas as pd
+import fetch_data
+import generate_data
+from shapely import geometry
+import pytesseract
+
+card_mask = cv2.imread('data/mask.png')
+
+
+def key_pts_to_yolo(key_pts, w_img, h_img):
+ """
+ Convert a list of keypoints into a yolo training format
+ :param key_pts: list of keypoints
+ :param w_img: width of the entire image
+ :param h_img: height of the entire image
+ :return: <x> <y> <width> <height>
+ """
+ x1 = min([pt[0] for pt in key_pts])
+ x2 = max([pt[0] for pt in key_pts])
+ y1 = min([pt[1] for pt in key_pts])
+ y2 = max([pt[1] for pt in key_pts])
+ x = (x2 + x1) / 2 / w_img
+ y = (y2 + y1) / 2 / h_img
+ width = (x2 - x1) / w_img
+ height = (y2 - y1) / h_img
+ return x, y, width, height
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 generate_horizontal_span(self):
+ def add_card(self, card, x=None, y=None, theta=0.0, scale=1.0):
+ """
+ Add a card to this generator scenario.
+ :param card: card to be added
+ :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
+ """
+ if x is None:
+ x = -len(card.img[0]) / 2
+ if y is None:
+ y = -len(card.img) / 2
+ self.cards.append(card)
+ card.x = x
+ card.y = y
+ card.theta = theta
+ card.scale = scale
+ pass
+
+ def display(self, debug=False):
+ """
+ Display the current state of the generator
+ :return: none
+ """
+ self.check_visibility()
+ img_result = cv2.resize(self.img_bg, (self.width, self.height))
+
+ for card in self.cards:
+ if card.x == 0.0 and card.y == 0.0 and card.theta == 0.0 and card.scale == 1.0:
+ continue
+ 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_result[0]) - card_x)
+ card_crop_y1 = max(0, card_h // 2 - card_y)
+ card_crop_y2 = min(card_h, card_h // 2 + len(img_result) - 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_result[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_result), int(card_y + (card_h / 2) + 0.5))
+ img_result_crop = img_result[bg_crop_y1:bg_crop_y2, bg_crop_x1:bg_crop_x2]
+
+ # Override the background with the current card
+ img_result_crop = np.where(img_card_crop, img_card_crop, img_result_crop)
+ img_result[bg_crop_y1:bg_crop_y2, bg_crop_x1:bg_crop_x2] = img_result_crop
+
+ if debug:
+ for ext_obj in card.objects:
+ if ext_obj.visible:
+ for pt in ext_obj.key_pts:
+ cv2.circle(img_result, card.coordinate_in_generator(pt[0], pt[1]), 2, (0, 0, 255), 2)
+ bounding_box = card.bb_in_generator(ext_obj.key_pts)
+ cv2.rectangle(img_result, bounding_box[0], bounding_box[2], (0, 255, 0), 2)
+
+ try:
+ text = pytesseract.image_to_string(img_result, output_type=pytesseract.Output.DICT)
+ print(text)
+ except pytesseract.pytesseract.TesseractError:
+ pass
+ img_result = cv2.GaussianBlur(img_result, (5, 5), 0)
+ cv2.imshow('Result', img_result)
+ cv2.waitKey(0)
+ self.img_result = img_result
+ pass
+
+ def generate_horizontal_span(self, gap=None, scale=None, shift=None, jitter=None):
"""
Generating the first scenario where the cards are laid out in a straight horizontal line
:return: none
"""
+ # Set scale of the cards, variance of shift & jitter to be applied if they're not given
+ card_size = (len(self.cards[0].img[0]), len(self.cards[0].img))
+ if scale is None:
+ # Scale the cards so that card takes about 50% of the image's height
+ coverage_ratio = 0.5
+ scale = self.height * coverage_ratio / card_size[1]
+ if shift is None:
+ # Plus minus 5% of the card's height
+ shift = [-card_size[1] * scale * 0.05, card_size[1] * scale * 0.05]
+ pass
+ if jitter is None:
+ jitter = [-math.pi / 18, math.pi / 18] # Plus minus 10 degrees
+ if gap is None:
+ # 25% of the card's width - set symbol and 1-2 mana symbols will be visible on each card
+ gap = card_size[0] * scale * 0.25
+
+ # Determine the location of the first card
+ # The cards will cover (width of a card + (# of cards - 1) * gap) pixels wide and (height of a card) pixels high
+ x_anchor = int(self.width / 2 + (len(self.cards) - 1) * gap / 2)
+ y_anchor = self.height // 2
+ for card in self.cards:
+ card.scale = scale
+ card.x = x_anchor
+ card.y = y_anchor
+ card.theta = 0
+ card.shift(shift, shift)
+ card.rotate(jitter)
+ x_anchor -= gap
pass
- def generate_vertical_span(self):
+ def generate_vertical_span(self, gap=None, scale=None, shift=None, jitter=None):
"""
Generating the second scenario where the cards are laid out in a straight vertical line
:return: none
"""
+ # Set scale of the cards, variance of shift & jitter to be applied if they're not given
+ card_size = (len(self.cards[0].img[0]), len(self.cards[0].img))
+ if scale is None:
+ # Scale the cards so that card takes about 50% of the image's height
+ coverage_ratio = 0.5
+ scale = self.height * coverage_ratio / card_size[1]
+ if shift is None:
+ # Plus minus 5% of the card's height
+ shift = [-card_size[1] * scale * 0.05, card_size[1] * scale * 0.05]
+ pass
+ if jitter is None:
+ # Plus minus 5 degrees
+ jitter = [-math.pi / 36, math.pi / 36]
+ if gap is None:
+ # 15% of the card's height - the title bar (with mana symbols) will be visible
+ gap = card_size[1] * scale * 0.15
+
+ # Determine the location of the first card
+ # The cards will cover (width of a card) pixels wide and (height of a card + (# of cards - 1) * gap) pixels high
+ x_anchor = self.width // 2
+ y_anchor = int(self.height / 2 - (len(self.cards) - 1) * gap / 2)
+ for card in self.cards:
+ card.scale = scale
+ card.x = x_anchor
+ card.y = y_anchor
+ card.theta = 0
+ card.shift(shift, shift)
+ card.rotate(jitter)
+ y_anchor += gap
pass
- def generate_fan_out(self):
+ pass
+
+ def generate_fan_out(self, centre, theta_between_cards=None, scale=None, shift=None, jitter=None):
"""
Generating the third scenario where the cards are laid out in a fan shape
:return: none
"""
pass
- def export_training_data(self, out_dir):
+ def generate_non_obstructive(self, tolerance=0.85, scale=None):
+ """
+ Generating the fourth scenario where the cards are laid in arbitrary position that doesn't obstruct other cards
+ :param tolerance: minimum level of visibility for each cards
+ :return:
+ """
+ card_size = (len(self.cards[0].img[0]), len(self.cards[0].img))
+ if scale is None:
+ # Total area of the cards should cover about 25-40% of the entire image, depending on the number of cards
+ scale = math.sqrt(self.width * self.height * min(0.25 + 0.02 * len(self.cards), 0.4)
+ / (card_size[0] * card_size[1] * len(self.cards)))
+ # Position each card at random location that doesn't obstruct other cards
+ for i in range(len(self.cards)):
+ card = self.cards[i]
+ card.scale = scale
+ while True:
+ card.x = random.uniform(card_size[1] * scale / 2, self.width - card_size[1] * scale)
+ card.y = random.uniform(card_size[1] * scale / 2, self.height - card_size[1] * scale)
+ card.theta = random.uniform(-math.pi, math.pi)
+ self.check_visibility(self.cards[:i + 1], visibility=tolerance)
+ # This position is not obstructive if all of the cards are visible
+ is_visible = [other_card.objects[0].visible for other_card in self.cards[:i + 1]]
+ non_obstructive = all(is_visible)
+ if non_obstructive:
+ break
+
+ def check_visibility(self, cards=None, i_check=None, visibility=0.5):
+ """
+ Check whether if extracted objects in each card are visible in the current scenario, and update their status
+ :param cards: list of cards (in a correct order)
+ :param i_check: indices of cards that needs to be checked. Cards that aren't in this list will only be used
+ to check visibility of other cards. All cards are checked by default.
+ :param visibility: minimum ratio of the object's area that aren't covered by another card to be visible
+ :return: none
+ """
+ if cards is None:
+ cards = self.cards
+ if i_check is None:
+ i_check = range(len(cards))
+ card_poly_list = [geometry.Polygon([card.coordinate_in_generator(0, 0),
+ card.coordinate_in_generator(0, len(card.img)),
+ card.coordinate_in_generator(len(card.img[0]), len(card.img)),
+ card.coordinate_in_generator(len(card.img[0]), 0)]) for card in self.cards]
+ template_poly = geometry.Polygon([(0, 0), (self.width, 0), (self.width, self.height), (0, self.height)])
+
+ # First card in the list is overlaid on the bottom of the card pile
+ for i in i_check:
+ card = cards[i]
+ for ext_obj in card.objects:
+ obj_poly = geometry.Polygon([card.coordinate_in_generator(pt[0], pt[1]) for pt in ext_obj.key_pts])
+ obj_area = obj_poly.area
+ # Check if the other cards are blocking this object or if it's out of the template
+ for card_poly in card_poly_list[i + 1:]:
+ obj_poly = obj_poly.difference(card_poly)
+ obj_poly = obj_poly.intersection(template_poly)
+ visible_area = obj_poly.area
+ #print(visible_area, obj_area, len(card.img[0]) * len(card.img) * card.scale * card.scale)
+ #print("%s: %.1f visible" % (ext_obj.label, visible_area / obj_area * 100))
+ ext_obj.visible = obj_area * visibility <= visible_area
+
+ def export_training_data(self, out_name):
"""
Export the generated training image along with the txt file for all bounding boxes
:return: none
"""
+ cv2.imwrite(out_name + '.jpg', self.img_result)
+ out_txt = open(out_name+ '.txt', 'w')
+ for card in self.cards:
+ for ext_obj in card.objects:
+ if not ext_obj.visible:
+ continue
+ coords_in_gen = [card.coordinate_in_generator(key_pt[0], key_pt[1]) for key_pt in ext_obj.key_pts]
+ obj_yolo_info = key_pts_to_yolo(coords_in_gen, self.width, self.height)
+ if ext_obj.label == 'card':
+ out_txt.write('0 %.6f %.6f %.6f %.6f\n' % obj_yolo_info)
+ pass
+ elif ext_obj.label[:ext_obj.label.find[':']] == 'mana_symbol':
+ # TODO
+ pass
+ elif ext_obj.label[:ext_obj.label.find[':']] == 'set_symbol':
+ # TODO
+ pass
+ out_txt.close()
pass
@@ -47,7 +301,7 @@
"""
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, 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
@@ -56,57 +310,165 @@
: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.x = x
+ self.y = y
+ self.theta = theta
+ self.scale = scale
pass
- def bind_to_generator(self, generator, x=0, y=0, theta=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
- :return: none
- """
- 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):
+ def rotate(self, theta, centre=(0, 0)):
"""
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 theta: amount of rotation in radian (clockwise). If a range is given, rotate by a random amount within
+ :param centre: coordinate of the centre of the rotation in relation to the centre of this card
+ that range
:return: none
"""
+ if isinstance(theta, tuple) or (isinstance(theta, list) and len(theta) == 2):
+ theta = random.uniform(theta[0], theta[1])
+
+ # If the centre given is the centre of this card, the whole math simplifies a bit
+ # (This still works without the if statement, but let's not do useless trigs if we know the answer already)
+ if centre is not (0, 0):
+ # 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
+ def coordinate_in_generator(self, x, y):
+ """
+ Converting coordinate within the card into the coordinate in the generator it is associated with
+ :param x: x coordinate within the card
+ :param y: y coordinate within the card
+ :return: (x, y) coordinate in the generator
+ """
+ # Relative distance in X & Y axis, if the centre of the card is at the origin (0, 0)
+ rel_x = x - len(self.img[0]) // 2
+ rel_y = y - len(self.img) // 2
+
+ # Scaling
+ rel_x *= self.scale
+ rel_y *= self.scale
+
+ # Rotation
+ rot_x = rel_x - rel_y * math.sin(self.theta) + rel_x * math.cos(self.theta)
+ rot_y = rel_y + rel_y * math.cos(self.theta) + rel_x * math.sin(self.theta)
+
+ # Negate offset
+ rot_x -= rel_x
+ rot_y -= rel_y
+
+ # Shift
+ gen_x = rot_x + self.x
+ gen_y = rot_y + self.y
+
+ return int(gen_x), int(gen_y)
+
+ def bb_in_generator(self, key_pts):
+ """
+ Convert a keypoints of bounding box in card into the coordinate in the generator
+ :param key_pts: keypoints of the bounding box
+ :return: bounding box represented by 4 points in the generator
+ """
+ coords_in_gen = [self.coordinate_in_generator(key_pt[0], key_pt[1]) for key_pt in key_pts]
+ x1 = min([pt[0] for pt in coords_in_gen])
+ x2 = max([pt[0] for pt in coords_in_gen])
+ y1 = min([pt[1] for pt in coords_in_gen])
+ y2 = max([pt[1] for pt in coords_in_gen])
+ '''
+ x1 = -math.inf
+ x2 = math.inf
+ y1 = -math.inf
+ y2 = math.inf
+ for key_pt in key_pts:
+ coord_in_gen = self.coordinate_in_generator(key_pt[0], key_pt[1])
+ x1 = max(x1, coord_in_gen[0])
+ x2 = min(x2, coord_in_gen[0])
+ y1 = max(y1, coord_in_gen[1])
+ y2 = min(y2, coord_in_gen[1])
+ '''
+ return [(x1, y1), (x2, y1), (x2, y2), (x1, y2)]
+
class ExtractedObject:
"""
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
+ self.visible = False
def main():
+ random.seed()
+ img_bg = cv2.imread('data/frilly_0007.jpg')
+ 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(4)]:
+ 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)
+ detected_object_list = generate_data.apply_bounding_box(card_img, card_info)
+ card = Card(card_img, card_info, detected_object_list)
+
+ generator.add_card(card)
+ #generator.add_card(card, x=random.uniform(200, generator.width - 200),
+ # y=random.uniform(200, generator.height - 200), theta=random.uniform(-math.pi, math.pi), scale=0.5)
+ #card.shift([-100, 100], [-100, 100])
+ #card.rotate((0, 0), [-math.pi / 4, math.pi / 4])
+ import time
+
+ for i in range(100):
+ generator.generate_vertical_span()
+ generator.display(debug=False)
+ generator.export_training_data(out_name='data/test')
+ #generator.generate_horizontal_span()
+ #generator.display(debug=True)
+ #generator.generate_vertical_span()
+ #generator.display(debug=True)
pass
if __name__ == '__main__':
- main()
\ No newline at end of file
+ main()
--
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