From e0976bcb30fa50e6e33c701fc057a4e93935bccf Mon Sep 17 00:00:00 2001
From: Edmond Yoo <hj3yoo@uwaterloo.ca>
Date: Sat, 13 Oct 2018 06:17:09 +0000
Subject: [PATCH] Update README
---
generate_data.py | 161 +++++++++++++++++++++++++++++++++++++++++++++--------
1 files changed, 136 insertions(+), 25 deletions(-)
diff --git a/generate_data.py b/generate_data.py
index dafb40e..7a2ce87 100644
--- a/generate_data.py
+++ b/generate_data.py
@@ -11,6 +11,7 @@
import sys
import numpy as np
import pandas as pd
+import transform_data
# Referenced from geaxgx's playing-card-detection: https://github.com/geaxgx/playing-card-detection
class Backgrounds:
@@ -63,54 +64,164 @@
def apply_bounding_box(img, card_info, display=False):
- # Mana symbol - They are located on the top right side of the card, next to the name.
+ # List of detected objects to be fed into the neural net
+ # The first object is the entire card
+ detected_object_list = [transform_data.ExtractedObject('card', [(0, 0), (len(img[0]), 0), (len(img[0]), len(img)), (0, len(img))])]
+ '''
+ # Mana symbol - They are located on the top right side of the card, next to the name
# Their position is stationary, and is right-aligned.
has_mana_cost = isinstance(card_info['mana_cost'], str) # Cards with no mana cost will have nan
- is_planeswalker = 'Planeswalker' in card_info['type_line']
if has_mana_cost:
mana_cost = re.findall('\{(.*?)\}', card_info['mana_cost'])
- x2 = 683
- y1 = 67
+ x_anchor = 683
+ y_anchor = 65
# Cards with specific type or from old sets have their symbol at a different position
- if is_planeswalker:
- y1 -= 17
if card_info['set'] in ['8ed', 'mrd', 'dst', '5dn']:
- y1 -= 2
+ y_anchor -= 2
for i in reversed(range(len(mana_cost))):
# Hybrid mana symbol are larger than a normal symbol
is_hybrid = '/' in mana_cost[i]
if is_hybrid:
- box = [(x2 - 47, y1 - 8), (x2 + 2, y1 + 43)] # (x1, y1), (x2, y2)
- x2 -= 45
+ x1 = x_anchor - 47
+ x2 = x_anchor + 2
+ y1 = y_anchor - 8
+ y2 = y_anchor + 43
+ x_anchor -= 45
else:
- box = [(x2 - 39, y1), (x2, y1 + 41)] # (x1, y1), (x2, y2)
- x2 -= 37
- img_symbol = img[box[0][1]:box[1][1], box[0][0]:box[1][0]]
+ x1 = x_anchor - 39
+ x2 = x_anchor
+ y1 = y_anchor
+ y2 = y_anchor + 43
+ x_anchor -= 37
+ # Append them to the list of bounding box with the appropriate label
+ symbol_name = 'mana_symbol:' + mana_cost[i]
+ key_pts = [(x1, y1), (x2, y1), (x2, y2), (x1, y2)]
+ detected_object_list.append(transform_data.ExtractedObject(symbol_name, key_pts))
+
if display:
+ img_symbol = img[y1:y2, x1:x2]
cv2.imshow('symbol', img_symbol)
cv2.waitKey(0)
+ # Set symbol - located on the right side of the type box in the centre of the card, next to the card type
+ # Only one symbol exists, and its colour varies by rarity.
+ if card_info['set'] in ['8ed']:
+ x1 = 622
+ x2 = 670
+ elif card_info['set'] in ['mrd', 'm10', 'm11', 'm12', 'm13', 'm14']:
+ x1 = 602
+ x2 = 684
+ elif card_info['set'] in ['dst']:
+ x1 = 636
+ x2 = 673
+ elif card_info['set'] in ['5dn']:
+ x1 = 630
+ x2 = 675
+ elif card_info['set'] in ['bok', 'rtr']:
+ x1 = 633
+ x2 = 683
+ elif card_info['set'] in ['sok', 'mbs']:
+ x1 = 638
+ x2 = 683
+ elif card_info['set'] in ['rav']:
+ x1 = 640
+ x2 = 678
+ elif card_info['set'] in ['csp']:
+ x1 = 650
+ x2 = 683
+ elif card_info['set'] in ['tsp', 'lrw', 'zen', 'wwk', 'ths']:
+ x1 = 640
+ x2 = 683
+ elif card_info['set'] in ['plc', 'fut', 'shm', 'eve']:
+ x1 = 625
+ x2 = 685
+ elif card_info['set'] in ['10e']:
+ x1 = 623
+ x2 = 680
+ elif card_info['set'] in ['mor', 'roe', 'bng']:
+ x1 = 637
+ x2 = 687
+ elif card_info['set'] in ['ala', 'arb']:
+ x1 = 635
+ x2 = 680
+ elif card_info['set'] in ['nph']:
+ x1 = 642
+ x2 = 678
+ elif card_info['set'] in ['gtc']:
+ x1 = 610
+ x2 = 683
+ elif card_info['set'] in ['dgm']:
+ x1 = 618
+ x2 = 678
+ else:
+ x1 = 630
+ x2 = 683
+ y1 = 589
+ y2 = 636
+ # Append them to the list of bounding box with the appropriate label
+ symbol_name = 'set_symbol:' + card_info['set']
+ key_pts = [(x1, y1), (x2, y1), (x2, y2), (x1, y2)]
+ detected_object_list.append(transform_data.ExtractedObject(symbol_name, key_pts))
+
+ if display:
+ img_symbol = img[y1:y2, x1:x2]
+ cv2.imshow('symbol', img_symbol)
+ cv2.waitKey(0)
+
+ # Name box - The long bar on the top with card name and mana symbols
+ # TODO
+
+ # Type box - The long bar on the middle with card type and set symbols
+ # TODO
+
+ # Image box - the large image on the top half of the card
+ # TODO
+ '''
+ return detected_object_list
+
def main():
+ random.seed()
#bg_images = load_dtd()
#bg = Backgrounds()
#bg.get_random(display=True)
- df = fetch_data.load_all_cards_text('data/csv/dgm.csv')
- #repeat = 'y'
- while True:
- card_info = df.iloc[random.randint(0, df.shape[0] - 1)]
- print(card_info['name'])
- card_img = cv2.imread('data/png/%s/%s_%s.png' % (card_info['set'], card_info['collector_number'],
- fetch_data.get_valid_filename(card_info['name'])))
+
+ 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)
+ #for _ in range(3):
+ # 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)
+ card_pool = card_pool.append(df)
+ '''
+ print(card_pool)
+ mana_symbol_set = set()
+ for _, card_info in card_pool.iterrows():
+ has_mana_cost = isinstance(card_info['mana_cost'], str)
+ if has_mana_cost:
+ mana_cost = re.findall('\{(.*?)\}', card_info['mana_cost'])
+ for symbol in mana_cost:
+ mana_symbol_set.add(symbol)
+
+ print(mana_symbol_set)
+ '''
+
+ for _, card_info in card_pool.iterrows():
+ 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)
- card_img = cv2.imread('data/png/%s/%s_%s.png' % (card_info['set'], card_info['collector_number'],
- fetch_data.get_valid_filename(card_info['name'])))
- sys.stdout.flush()
- apply_bounding_box(card_img, card_info, display=True)
- #repeat = input('y to repeat, n to finish')
+ 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 = apply_bounding_box(card_img, card_info, display=True)
+ print(detected_object_list)
+
return
--
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