MakeData/saveData.py at ForSegmentation · Team-BoonMoSa/MakeData · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
import os
import shutil

import csv
import numpy as np
import pandas as pd

from tqdm import tqdm
import cv2


def initializeData(DataStoreName):
    tmp = os.getcwd()
    if DataStoreName in os.listdir():
        shutil.rmtree(DataStoreName)
    os.mkdir(DataStoreName)
    os.chdir(DataStoreName)
    os.mkdir('images')
    os.chdir('images')
    os.mkdir('train')
    os.mkdir('val')
    os.mkdir('test')
    os.chdir('..')
    os.mkdir('labels')
    os.chdir('labels')
    os.mkdir('train')
    os.mkdir('val')
    os.mkdir('test')
    os.chdir(tmp)

def makePoly(relMask):
    tmp = cv2.imread(relMask)
    mh, mw, _ = tmp.shape
    tmp = cv2.cvtColor(tmp, cv2.COLOR_BGR2GRAY)
    contours, _ = cv2.findContours(tmp, cv2.RETR_LIST, cv2.CHAIN_APPROX_NONE)
    tmp = np.array(contours[0]/[mw, mh])
    poly = tmp.reshape(len(contours[0])*2)
    return poly

def saveData(target, relImg):
    targetDirImg = DataStoreDir + '/images/' + target
    targetDirLab = DataStoreDir + '/labels/' + target
    imgName = relImg[-13:]
    # Make Target Data: IMG
    shutil.copy(relImg, targetDirImg + '/' + imgName)
    # Make Target Data: Poly (GT)
    gt = relImg.replace('.png', '.gt_data.txt')
    gt = pd.read_csv(gt, sep=' ', header=None)
    with open(targetDirLab + '/' + imgName.replace('.png', '.txt'), 'a', encoding='utf-8') as f:
        wr = csv.writer(f, delimiter=' ')
        for i in range(len(gt)):
            mask = gt.iloc[i, 6]
            relMask = relImg.replace('.png', '.' + mask + '.png')
            poly = makePoly(relMask)
            wr.writerow([0, *poly])

if __name__ == "__main__":
    DataStoreName = "LogoRec"
    os.chdir('..')
    initializeData(DataStoreName)

    datasets = os.getcwd()
    DataStoreDir = datasets + '/' + DataStoreName

    candidate = []

    tmp = "train/filelist-logosonly"
    file = open("FlickrLogos_47/" + tmp + ".txt", "r")
    while True:
        line = file.readline()
        if not line:
            break
        candidate.append('./FlickrLogos_47/train' + line.strip()[1:])

    tmp = "test/filelist"
    file = open("FlickrLogos_47/" + tmp + ".txt", "r")
    while True:
        line = file.readline()
        if not line:
            break
        candidate.append('./FlickrLogos_47/test' + line.strip()[1:])

    cnt = 0
    for c in tqdm(candidate):
        if cnt % 12 == 0:
            saveData('val', c)
        elif cnt % 12 == 1:
            saveData('test', c)
        else:
            saveData('train', c)
        cnt += 1

    print('=' * 30)
    print('No. Total Data: ', cnt)
    print('=' * 30)

    os.chdir(DataStoreDir + '/images/train')
    tin = len(os.listdir())
    print('Training Data: No. Images', tin)

    os.chdir(DataStoreDir + '/labels/train')
    ttn = len(os.listdir())
    print('Training Data: No. GT', ttn)

    os.chdir(DataStoreDir + '/images/val')
    vin = len(os.listdir())
    print('Validation Data: No. Images', vin)

    os.chdir(DataStoreDir + '/labels/val')
    vtn = len(os.listdir())
    print('Validation Data: No. GT', vtn)

    os.chdir(DataStoreDir + '/images/test')
    ttin = len(os.listdir())
    print('Test Data: No. Images', ttin)

    os.chdir(DataStoreDir + '/labels/test')
    tttn = len(os.listdir())
    print('Test Data: No. GT', tttn)

    print('=' * 30)
    print('No. Total Image Data: ', tin + vin + ttin)
    print('No. Total GT Data: ', ttn + vtn + tttn)
    print('=' * 30)

    os.chdir(datasets + '/MakeData')