bounding box for mana symbol - only tested for RTR set
| | |
| | | return df |
| | | |
| | | |
| | | def load_all_cards_text(csv_name): |
| | | df = pd.read_csv(csv_name, sep=';') |
| | | return df |
| | | |
| | | |
| | | # Pulled from Django framework (https://github.com/django/django/blob/master/django/utils/text.py) |
| | | def get_valid_filename(s): |
| | | """ |
| | |
| | | for ind, row in df.iterrows(): |
| | | png_url = row['image_uris'][size] |
| | | if out_dir == '': |
| | | out_dir = 'data/png/%s' % row['set'] |
| | | out_dir = 'data/%s/%s' % (size, row['set']) |
| | | if not os.path.exists(out_dir): |
| | | os.makedirs(out_dir) |
| | | img_name = '%s/%s_%s.png' % (out_dir, row['collector_number'], get_valid_filename(row['name'])) |
| | |
| | | def main(): |
| | | df = fetch_all_cards_text(url='https://api.scryfall.com/cards/search?q=layout:normal+set:rtr+lang:en', |
| | | csv_name='data/all_cards.csv') |
| | | fetch_cards_image(df) |
| | | #fetch_cards_image(df) |
| | | pass |
| | | |
| | | |
| | |
| | | import math |
| | | import random |
| | | import os |
| | | |
| | | import re |
| | | import cv2 |
| | | import fetch_data |
| | | import sys |
| | | import numpy as np |
| | | |
| | | # Referenced from geaxgx's playing-card-detection: https://github.com/geaxgx/playing-card-detection |
| | | class Backgrounds: |
| | |
| | | return bg_images |
| | | |
| | | |
| | | 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. |
| | | # 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 |
| | | if is_planeswalker: |
| | | y1 = 50 |
| | | else: |
| | | y1 = 67 |
| | | for i in reversed(range(len(mana_cost))): |
| | | is_hybrid = '/' in mana_cost[i] |
| | | if is_hybrid: |
| | | box = [(x2 - 47, y1 - 8), (x2 + 2, y1 + 43)] # (x1, y1), (x2, y2) |
| | | x2 -= 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]] |
| | | if display: |
| | | cv2.imshow('symbol', img_symbol) |
| | | cv2.waitKey(0) |
| | | |
| | | |
| | | def main(): |
| | | #bg_images = load_dtd() |
| | | bg = Backgrounds() |
| | | bg.get_random(display=True) |
| | | #bg = Backgrounds() |
| | | #bg.get_random(display=True) |
| | | df = fetch_data.load_all_cards_text('data/all_cards.csv') |
| | | #repeat = 'y' |
| | | while True: |
| | | rand_card = df.iloc[random.randint(0, df.shape[0] - 1)] |
| | | card_img = cv2.imread('data/png/%s/%s_%s.png' % (rand_card['set'], rand_card['collector_number'], |
| | | fetch_data.get_valid_filename(rand_card['name']))) |
| | | print(rand_card['name']) |
| | | sys.stdout.flush() |
| | | apply_bounding_box(card_img, rand_card, display=True) |
| | | #repeat = input('y to repeat, n to finish') |
| | | return |
| | | |
| | | |