def analyze_img():
#print("-------------REQUESTED ANALYZE IMAGE --------------------")
# Set image_url to the URL of an image that you want to analyze.
# img_url = image name
if request.args.get('img_url'):
image_url = app.config['IMG_FOLDER'] + request.args.get('img_url')
else:
return json.dumps({"Error": "Img_url is missing"})
headers = {
'Ocp-Apim-Subscription-Key': subscription_key_cv,
'Content-Type': 'application/octet-stream'
}
params = {'visualFeatures': 'Objects'}
image_data = open(image_url, "rb").read()
# data = {'url': image_url}
response = requests.post(analyze_url,
headers=headers,
params=params,
data=image_data)
response.raise_for_status()
# The 'analysis' object contains various fields that describe the image. The most
# relevant caption for the image is obtained from the 'description' property.
analysis = response.json()
object_list = []
for object in analysis['objects']:
obj_h = object['rectangle']['h']
desc = object['object']
if desc in OBJECTS_HEIGHT.keys():
real_height = OBJECTS_HEIGHT[desc.lower()]
else:
real_height = 15
obj = Object(obj_h, real_height, desc, object['rectangle'])
obj.calculate_distance()
object_list.append(obj)
object_list = sorted(object_list, key=lambda k: k.distance)
response_json = []
for obj in object_list:
#print(str(obj))
d = {
'img_height': obj.img_height,
'real_height': obj.real_height,
'desc': obj.desc,
'distance': obj.distance,
'direction': get_directions(obj, image_url),
'position': obj.position
}
response_json.append(d)
#print(response_json)
return json.dumps(response_json)
