def main():
features = []
for type in ['number', 'upper', 'lower']:
bw = gambar.to_bw(gambar.to_gray(gambar.read('ocr_train_{}.PNG'.format(type))))
features.extend([array.tolist() for array in ocr.get_features(bw)])
labels = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9',
'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z',
'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']
with open('ocr_train.json', 'w') as outfile:
json.dump({'features': features, 'labels': labels}, outfile)
def main(path):
img = gambar.read(path)
gray = gambar.to_gray(img)
bw = gambar.to_bw(gray)
tulang = zhangsuen.penulangan(bw)
with open('ocr_train.json') as infile:
train = json.load(infile)
results = []
objects = get_objects(bw)
for object in objects:
feature = get_feature(tulang[object[0]-1:object[1]+2, object[2]-1:object[3]+2])
results.append(classify(train, feature))
return ''.join(results)
def main():
features = []
path = 'train'
for type in ['number', 'upper', 'lower', 'other']:
for name in [f for f in listdir(join(path, type)) if isfile(join(path, type, f))]:
img = gambar.read(join(path, type, name))
img = gambar.asgray(img)
img = gambar.tobw(img)
img = gambar.koponging(img)
pixels = objek.getpixels(img)
center = objek.getcenter(pixels)
feature = objek.getfeature(img, pixels, center)
features.append({'label': splitext(name)[0], 'data': feature.tolist()})
with open('features.json', 'w') as outfile:
json.dump(features, outfile)
result = results[0]
for i in range(1, 8):
result[:] = np.maximum(result, results[i])
return normalize(result).round().astype(np.uint8)
if __name__ == '__main__':
# test = np.asarray([[255, 255, 255, 255, 255, 255, 255, 255],
# [255, 255, 255, 255, 255, 255, 255, 255],
# [255, 255, 0, 0, 0, 0, 255, 255],
# [255, 255, 0, 0, 0, 0, 255, 255],
# [255, 255, 0, 0, 0, 0, 255, 255],
# [255, 255, 0, 0, 0, 0, 255, 255],
# [255, 255, 255, 255, 255, 255, 255, 255],
# [255, 255, 255, 255, 255, 255, 255, 255]])
# sobel(test)
# img = gambar.read('D:\\Kuliah\\pola\\527C868C9284958A22F9E4D448BDDA12.JPG')
img = gambar.read('C:\\Users\\user all\\Downloads\\532fd38d-1.jpg')
gray = gambar.to_gray(img)
# gambar.show(gray)
result = derajat1(gray, 'prewitt')
gambar.show(result)
# kernel = [
# [1, 2, 1],
# [2, 4, 2],
# [1, 2, 1],
# ]
# gray = np.array(kernel)
# convolve(gray, kernel)
tulangr = tulang.copy()
codes = []
ujung, simpangan = get_identity(tulangr)
while len(ujung) > 0:
y, x = ujung[0]
if tulangr[y, x]:
code = chaincode.iterate_chaincode(tulangr, y, x)
if len(code) > 0:
codes.append(code)
ujung, simpangan = get_identity(tulangr)
codes.extend(chaincode.get_chaincode(tulangr))
return codes
if __name__ == ('__main__'):
img = gambar.read(sys.argv[1])
gray = gambar.to_gray(img)
bw = gambar.to_bw(gray)
tulang = penulangan(bw)
ujung, simpangan = get_identity(tulang)
json_data = {
'ujung': [list((int(y), int(x))) for y, x in ujung],
'simpangan': [list((int(y), int(x))) for y, x in simpangan],
}
print json.dumps(json_data)
# code = get_chaincode(tulang)
# belok = chaincode.get_kodebelok(code)
# print belok
def main():
method = sys.argv[1]
input = sys.argv[2]
id = sys.argv[3]
home = os.path.expanduser('~')+'\\.IF5181\\'
dir = home+id+'\\'
if not os.path.isdir(dir):
if os.path.isdir(home):
shutil.rmtree(home, ignore_errors=True)
if not os.path.isdir(home):
os.mkdir(home)
os.mkdir(dir)
os.chdir('py')
if method == 'histogram':
img = gambar.read(input)
hist = gambar.get_histogram(img)
json_save({
'r': list(gambar.get_histogram(img[:, :, 0])),
'g': list(gambar.get_histogram(img[:, :, 1])),
'b': list(gambar.get_histogram(img[:, :, 2])),
}, dir+'histogram.json')
elif method == 'equalize':
img = gambar.read(input)
gray = gambar.to_gray(img)
hist_gray = gambar.get_histogram(gray)
result, hist_result = gambar.equalize(gray, hist_gray)
gambar.save(gray, dir+'gray.jpg')
json_save(list(hist_gray), dir+'histogram_gray.json')
gambar.save(result, dir+'equalized.jpg')
json_save(list(hist_result), dir+'histogram_equalized.json')
elif method == 'otsu':
img = gambar.read(input)
gray = gambar.to_gray(img)
gambar.save(gray, dir+'gray.jpg')
bw = gambar.to_bw(gray)
gambar.save(bw, dir+'binary.jpg')
elif method == 'derajat0':
img = gambar.read(input)
gray = gambar.to_gray(img)
gambar.save(gray, dir+'gray.jpg')
average = konvolusi.derajat0(gray, 'average')
gambar.save(average, dir+'derajat0-average.jpg')
homogen = konvolusi.derajat0(gray, 'homogen')
gambar.save(homogen, dir+'derajat0-homogen.jpg')
difference = konvolusi.derajat0(gray, 'difference')
gambar.save(difference, dir+'derajat0-difference.jpg')
elif method == 'derajat1':
img = gambar.read(input)
gray = gambar.to_gray(img)
gambar.save(gray, dir+'gray.jpg')
sobel = konvolusi.derajat1(gray, 'sobel')
gambar.save(sobel, dir+'derajat1-sobel.jpg')
prewitt = konvolusi.derajat1(gray, 'prewitt')
gambar.save(prewitt, dir+'derajat1-prewitt.jpg')
elif method == 'derajat2':
img = gambar.read(input)
gray = gambar.to_gray(img)
gambar.save(gray, dir+'gray.jpg')
kirsch = konvolusi.derajat2(gray, 'kirsch')
gambar.save(kirsch, dir+'derajat2-kirsch.jpg')
prewitt = konvolusi.derajat2(gray, 'prewitt')
gambar.save(prewitt, dir+'derajat2-prewitt.jpg')
elif method == 'gauss':
img = gambar.read(input)
gambar.save(konvolusi.gaussian(img), dir+'gauss.jpg')
elif method == 'chaincode':
img = gambar.read(input)
gray = gambar.to_gray(img)
bw = gambar.to_bw(gray)
gambar.save(bw, dir+'binary.jpg')
kopong = gambar.koponging(bw)
gambar.save(kopong, dir+'kopong.jpg')
code = chaincode.get_chaincode(kopong)
belok = chaincode.get_kodebelok(code)
json_save(code, dir+'chaincode.json')
json_save(belok, dir+'kodebelok.json')
elif method == 'skeleton':
img = gambar.read(input)
gray = gambar.to_gray(img)
bw = gambar.to_bw(gray)
gambar.save(bw, dir+'binary.jpg')
tulang = zhangsuen.penulangan(bw)
gambar.save(tulang, dir+'tulang.jpg')
ujung, simpangan = zhangsuen.get_identity(tulang)
json_save({
'ujung': [[int(y), int(x)] for y, x in ujung],
'simpangan': [[int(y), int(x)] for y, x in simpangan],
}, dir+'tulang-identity.json')
code = zhangsuen.get_chaincode(tulang)
belok = chaincode.get_kodebelok(code)
json_save(code, dir+'tulang-chaincode.json')
json_save(belok, dir+'tulang-kodebelok.json')
elif method == 'ocr':
result = ocr.main(input)
json_save({
'result': result
}, dir+'ocr-result.json')
elif method == 'face-warna':
img = gambar.read(input)
masker = wajah.get_masker(img)
maskered = wajah.draw_masker(img, masker)
gambar.save(maskered, dir+'face-masker.jpg')
wajahs = wajah.get_wajahs(masker)
kotaked = wajah.draw_kotak(img, wajahs)
gambar.save(kotaked, dir+'face-kotak.jpg')
elif method == 'face-bentuk':
img = gambar.read(input)
wajah.limatitik(img)
wajah.titikobjek(img)
elif method == 'face-recognition':
facer.main(input)