Edmond Yoo
2018-08-28 d6d65c65cc3b4a063cb3b632437359f64974518c
generate_data.py
@@ -10,6 +10,7 @@
import fetch_data
import sys
import numpy as np
import pandas as pd
# Referenced from geaxgx's playing-card-detection: https://github.com/geaxgx/playing-card-detection
class Backgrounds:
@@ -69,11 +70,16 @@
    if has_mana_cost:
        mana_cost = re.findall('\{(.*?)\}', card_info['mana_cost'])
        x2 = 683
        if is_planeswalker:
            y1 = 50
        else:
            y1 = 67
        # 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
        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)
@@ -81,7 +87,6 @@
            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)
@@ -92,15 +97,19 @@
    #bg_images = load_dtd()
    #bg = Backgrounds()
    #bg.get_random(display=True)
    df = fetch_data.load_all_cards_text('data/all_cards.csv')
    df = fetch_data.load_all_cards_text('data/csv/dgm.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'])
        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'])))
        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, rand_card, display=True)
        apply_bounding_box(card_img, card_info, display=True)
        #repeat = input('y to repeat, n to finish')
    return