def label_image(img, confidence=50):
'''
Creates and returns a copy of the image, with labels from Rekognition displayed on it
:param img: a string that is either the URL or filename for the image
:param confidence: the confidence level (defaults to 50)
:return: a copy of the image, with labels from Rekognition displayed on it
'''
# replace pass below with your implementation
labelList = get_labels(img,confidence) #get the labels for a given confidence
labelListStr = ' , '.join(labelList) #join the list with a comma after each value
#convert the image to a pillow image
imgbytes = get_image(img)
img = get_pillow_img(imgbytes)
#create a new image with the text added
img2ElectricBogaloo = add_text_to_img(img, labelListStr,
font=ImageFont.truetype('Impact.ttf', 28),
bgcolor=(255, 255, 255, 100))
return img2ElectricBogaloo
def label_image(img, confidence=50):
'''
Creates and returns a copy of the image, with labels from Rekognition displayed on it
:param img: a string that is either the URL or filename for the image
:param confidence: the confidence level (defaults to 50)
:return: a copy of the image, with labels from Rekognition displayed on it
'''
# replace pass below with your implementation
client = boto3.client('rekognition')
imgbytes = image_helpers.get_image(img)
pimg = get_pillow_img(imgbytes)
rekresp = client.detect_labels(Image={'Bytes': imgbytes}, MinConfidence=50)
label_list = []
for label in rekresp['Labels']:
print(label['Name'], label['Confidence'])
label_list.append(label['Name'])
print(label_list)
if 'Food' in label_list:
if 'Hot Dog' in label_list:
img1 = add_text_to_img(pimg,
"Hot Dog",
pos=(0, 0),
color=(0, 220, 0))
return img1
else:
img1 = add_text_to_img(pimg,
"Not Hot Dog",
pos=(0, 0),
color=(220, 0, 0))
return img1
else:
img1 = add_text_to_img(pimg, "Not Food", pos=(0, 0), color=(0, 0, 220))
return img1
def label_image(img, confidence=50):
'''
Creates and returns a copy of the image, with labels from Rekognition displayed on it
:param img: a string that is either the URL or filename for the image
:param confidence: the confidence level (defaults to 50)
:return: a copy of the image, with labels from Rekognition displayed on it
'''
# replace pass below with your implementation
imgbytes = image_helpers.get_image(img)
imgpillow = get_pillow_img(imgbytes)
nametext = []
name = get_labels(img, confidence)
for label in name:
nametext.append(label['Name'])
text = ', '.join(nametext)
pprint(text)
hour = datetime.datetime.now().time().hour
if hour <= 10:
texttpspeech = "Good Morning. "
elif hour > 10 and hour <= 16:
texttpspeech = "Good Afternoon. "
else:
texttpspeech = "Good Evening. "
texttpspeech = texttpspeech + "The image contains : " + text + ". "
text_on_image = text_image.textImage(imgbytes)
if text_on_image == "" or text_on_image == " ":
texttpspeech = texttpspeech
else:
texttpspeech = texttpspeech + " The text written on image is " + text_on_image + ". "
myList = [
'Human', 'People', 'Person', 'Female', 'Male', 'Girl', 'Boy', 'Woman',
'Man', 'Face', 'Laughing', 'Smile', 'Blonde', 'Crowd'
]
flag = 0
celebrity = []
for i in myList:
if flag == 0 and texttpspeech.__contains__(i):
flag = 1
#pprint("Text found "+i)
texttpspeech = texttpspeech + (str)(
face_detect.describe_faces(imgbytes))
celebrity = celebs.celeb(imgbytes)
if not celebrity:
foundFaces = searchFacesInCollection.search_faces(imgbytes)
if foundFaces == "":
texttpspeech = texttpspeech
else:
foundFaces = foundFaces.replace("_", " ")
texttpspeech = texttpspeech + "I can recognize the personal as " + foundFaces + ". "
face_detect_draw.acceptImagebytes(imgbytes)
else:
texttpspeech = texttpspeech + "I can recognize the personal as : " + ', '.join(
celebrity) + '. '
text = ', '.join(celebrity)
break
apptext.text_to_speech(texttpspeech, 'Amy')
return add_text_to_img(imgpillow, text)
def label_image(img):
'''
Creates and returns a copy of the image, with labels from Rekognition displayed on it
:param img: a string that is either the URL or filename for the image
:return: a copy of the image, with labels from Rekognition displayed on it
'''
# replace pass below with your implementation
## Getting Labels
label=get_labels(img)
message=""
for i in label:
if i == label[len(label)-1]:
message=message+i['Name']
else:
message=message+i['Name']+", "
## Getting Image bytes
imgbytes=image_helpers.get_image(img)
images=get_pillow_img(imgbytes)
return add_text_to_img(images, message)
def get_labels(img, confidence=50):
"""
Gets the labels from AWS Rekognition for the given image
:param img: either the image bytes or a string that is the URL or filename for an image
:param confidence: the confidence level (defaults to 50)
>>> get_labels('http://www.idothat.us/images/idothat-img/features/pool-patio-lanai/ft-pool-patio-lanai-2.jpg')
[{'Name': 'Pool', 'Confidence': 96.66264343261719}, {'Name': 'Water', 'Confidence': 96.66264343261719}, {'Name': 'Resort', 'Confidence': 76.01207733154297}, {'Name': 'Swimming Pool', 'Confidence': 76.01207733154297}, {'Name': 'Balcony', 'Confidence': 66.56996154785156}, {'Name': 'Patio', 'Confidence': 62.89345169067383}, {'Name': 'Flagstone', 'Confidence': 59.46694564819336}, {'Name': 'Backyard', 'Confidence': 56.5162467956543}, {'Name': 'Yard', 'Confidence': 56.5162467956543}, {'Name': 'Path', 'Confidence': 52.408050537109375}, {'Name': 'Sidewalk', 'Confidence': 52.408050537109375}, {'Name': 'Walkway', 'Confidence': 52.408050537109375}, {'Name': 'Alley', 'Confidence': 50.79618835449219}, {'Name': 'Alleyway', 'Confidence': 50.79618835449219}, {'Name': 'Road', 'Confidence': 50.79618835449219}, {'Name': 'Street', 'Confidence': 50.79618835449219}, {'Name': 'Town', 'Confidence': 50.79618835449219}, {'Name': 'Plant', 'Confidence': 50.6763801574707}]
>>> get_labels('http://www.idothat.us/images/idothat-img/features/pool-patio-lanai/ft-pool-patio-lanai-2.jpg', 90)
[{'Name': 'Pool', 'Confidence': 96.66264343261719}, {'Name': 'Water', 'Confidence': 96.66264343261719}]
"""
# replace pass below with your implementation
client = boto3.client('rekognition')
imgbytes = image_helpers.get_image(img)
rekresp = client.detect_labels(Image={'Bytes': imgbytes},
MinConfidence=confidence)
name = []
for label in rekresp['Labels']:
name.append({'Name': label['Name'], 'Confidence': label['Confidence']})
print(name)
return name