added options to flip/rotate and specify different input resolutions also f...

Constantin Wenger

2022-02-03 b95bf33cb5b296efb70a0c4b1c82c0f62286f52a

 generate_data.py

@@ -1,16 +1,18 @@
from glob import glob
import matplotlib.pyplot as plt
import matplotlib.image as mpimage
import pickle
import math
import random
import os
import cv2
import fetch_data
from glob import glob
import math
import matplotlib.pyplot as plt
import matplotlib.image as mpimage
import numpy as np
import os
import pandas as pd
import pickle
import random
import transform_data

from config import Config


class Backgrounds:
    """
@@ -96,8 +98,8 @@
    #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 set_name in Config.all_set_list:
        df = fetch_data.load_all_cards_text('%s/csv/%s.csv' % (Config.data_dir, 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
@@ -119,8 +121,8 @@
    '''

    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']))
        img_name = '%s/card_img/png/%s/%s_%s.png' % (Config.data_dir, 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: