From 0dab894a5be9f7d10d85e89dea91d02c71bae84d Mon Sep 17 00:00:00 2001
From: Edmond Yoo <hj3yoo@uwaterloo.ca>
Date: Sun, 16 Sep 2018 03:24:45 +0000
Subject: [PATCH] Moving files from MTGCardDetector repo

---
 generate_data.py |  167 ++++++++++++++++++++++++++++++++++++++++++++++++++++++-
 1 files changed, 164 insertions(+), 3 deletions(-)

diff --git a/generate_data.py b/generate_data.py
index a6f1f26..7a2ce87 100644
--- a/generate_data.py
+++ b/generate_data.py
@@ -5,7 +5,13 @@
 import math
 import random
 import os
-
+import re
+import cv2
+import fetch_data
+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:
@@ -57,10 +63,165 @@
     return bg_images
 
 
+def apply_bounding_box(img, card_info, display=False):
+    # 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
+    if has_mana_cost:
+        mana_cost = re.findall('\{(.*?)\}', card_info['mana_cost'])
+        x_anchor = 683
+        y_anchor = 65
+
+        # Cards with specific type or from old sets have their symbol at a different position
+        if card_info['set'] in ['8ed', 'mrd', 'dst', '5dn']:
+            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:
+                x1 = x_anchor - 47
+                x2 = x_anchor + 2
+                y1 = y_anchor - 8
+                y2 = y_anchor + 43
+                x_anchor -= 45
+            else:
+                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)
+    #bg = Backgrounds()
+    #bg.get_random(display=True)
+
+    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, 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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