def __init__(self, master=None):
super().__init__(master)
self.master = master
self.source_image = None
self.selected_letter = None
self.selected_letter_snake = None
# GUI setup
self.pack()
self.create_widgets()
# Controls
self.bind_keyboard_events()
if '-d' in sys.argv:
self.debug = True
else:
self.debug = False
if self.debug:
print('DEBUG MODE IS ON')
source_image = get_image_from_file('resources/test_text.tif')
charactar_image = get_image_from_file('resources/beit-test.tif')
self.set_source_image(source_image)
contoured_image = get_letter_contours(charactar_image)
self.add_selectable_letter_image(contoured_image)
def output(ff, frame):
num = entry.get()
n = str(num)
image = n + '.png'
imgbytes = image_helpers.get_image_from_file(image)
rekesp = client.detect_faces(Image={'Bytes': imgbytes}, Attributes=['ALL'])
how_many = len(rekesp['FaceDetails'])
ff.tkraise()
text = "사람 수는 총 " + how_many + "명입니다."
l = Label(ff, text=text)
l.place(x=150, y=100)
l.img = PhotoImage(file=image)
l.config(font=(44))
l.config(image=l.img, compound='bottom')
l.pack()
Button(ff, text='RESTART', command=lambda: raise_frame(f1)).place(x=100,
y=410)
Button(ff, text='Quit', command=lambda: root.destroy()).place(x=170, y=410)
def output(ff3, ff4):
num = entry.get() #엔트리값 받아오기
image = num + '.png'
imgbytes = image_helpers.get_image_from_file(image)
rekesp = client.detect_faces(Image={'Bytes': imgbytes}, Attributes=['ALL'])
how_many = len(rekesp['FaceDetails'])
ff3.tkraise() #프레임f3로 이동
label1 = Label(ff3) # 라벨 생성
label1.place(x=150, y=100) # 위치
label1.img = PhotoImage(file='result.png') # 이미지
label1.config(image=label1.img, compound='bottom') # 이미지추가
label1.pack() # 배치
#사람 수
te = Label(ff3, text=how_many)
te.place(x=170, y=90) #위치
te.config(font=(44)) #글자크기 수정
#+버튼
bu1 = Button(ff3, command=lambda: raise_frame(ff4)) #프레임4로 이동
bu1.place(x=130, y=170)
logo = PhotoImage(file='+.png') #이미지
bu1.img = logo.subsample(5, 5)
bu1.config(image=bu1.img, compound=LEFT, bd=0)
#quit버튼
bu2 = Button(ff3, command=lambda: root.destroy()) #클릭시 종료
bu2.place(x=170, y=170)
logo1 = PhotoImage(file='quit.png') #이미지
bu2.img = logo1.subsample(5, 5)
bu2.config(image=bu2.img, compound=LEFT, bd=0)
#4번째 프레임
l = Label(ff4) #사진출력
l.place(x=150, y=100) #위치
l.img = PhotoImage(file=image)
l.config(image=l.img, compound='bottom')
l.pack()
import boto3
from pprint import pprint
import image_helpers
COLLECTION = "myCollection"
image_id = COLLECTION
client = boto3.client('rekognition')
#client.create_collection(CollectionId=COLLECTION)
imgurl = 'https://www.parrots.org/images/uploads/dreamstime_C_47716185.jpg'
imgurl = 'http://www.idothat.us/images/idothat-img/features/pool-patio-lanai/ft-pool-patio-lanai-2.jpg'
imgurl = 'http://docs.aws.amazon.com/rekognition/latest/dg/images/text.png'
# grab the image from online
imgbytes = image_helpers.get_image_from_url(imgurl)
imgfile = 'text-image.png'
imgbytes = image_helpers.get_image_from_file(imgfile)
rekresp = client.index_faces(Image={'Bytes': imgbytes},
CollectionId=COLLECTION,
ExternalImageId=image_id,
DetectionAttributes=['ALL'])
pprint(rekresp)
import boto3
from pprint import pprint
import image_helpers as ih
client = boto3.client('rekognition')
img_path = 'images/socket-background.jpg'
img_bytes = ih.get_image_from_file(img_path)
rek_resp = client.detect_labels(Image={'Bytes': img_bytes})
pprint(rek_resp)
print('Here is what I see in the image:\n')
for label in rek_resp['Labels']:
print(label['Name'])
#imgbytes = image_helpers.get_image_from_url(imgurl)
#filename = '/home/jf/Downloads/invoice-test/invoice4.png'
parser = argparse.ArgumentParser(description='Recive a Path of a Folder')
parser.add_argument('directory', type=str, help='A folder path')
args = parser.parse_args()
folder = args.directory + '/'
filenames = os.listdir(folder)
print(filenames)
list_imgbytes = []
for filename in filenames:
list_imgbytes.append(
image_helpers.get_image_from_file(folder + filename))
#response=client.detect_text(Image={'S3Object':{'Bucket':bucket,'Name':photo}})
list_response = []
for imgbytes in list_imgbytes:
list_response.append(client.detect_text(Image={'Bytes': imgbytes}))
list_textDetections = []
for response in list_response:
list_textDetections.append(response['TextDetections'])
print(response)
#Json file
with open('data.json', 'a') as outfile:
json.dump(response,
outfile,
sort_keys=True,
#imgurl = 'https://i.imgur.com/1FwHQja.png'
#imgbytes = image_helpers.get_image_from_url(imgurl)
#filename = '/home/jf/Downloads/invoice-test/invoice4.png'
parser = argparse.ArgumentParser(description='Recive a Path of a Folder')
parser.add_argument('directory', type=str, help='A folder path')
args = parser.parse_args()
folder = args.directory + '/y'
filenames = os.listdir(folder)
print(filenames)
list_imgbytes = []
for filename in filenames:
list_imgbytes.append(image_helpers.get_image_from_file(folder + filename))
#response=client.detect_text(Image={'S3Object':{'Bucket':bucket,'Name':photo}})
list_response = []
for imgbytes in list_imgbytes:
list_response.append(client.detect_text(Image={'Bytes': imgbytes}))
list_textDetections=[]
for response in list_response:
list_textDetections.append(response['TextDetections'])
print(response)
#Json file
with open('data.json', 'a') as outfile:
json.dump(response, outfile, sort_keys = True, indent = 4,
ensure_ascii = False)