def image():
if request.method == 'GET':
response = make_response(
render_template('upload.html')
)
return response
if request.method == 'POST':
if request.form.get('_auth_token') != auth_token:
response = make_response(
json.dumps("Token is not valid"), 401
)
response.headers['Content-Type'] = 'application/json'
return response
image_file = request.files.get('justimage', None)
if image_file and allowed_file(image_file.filename):
filename = secure_filename(image_file.filename)
image_file_path = os.path.join(IMAGE_FOLDER, filename)
image_file.save(image_file_path)
temperature_file = request.files.get('temperature', None)
if temperature_file and allowed_file(temperature_file.filename):
filename = secure_filename(temperature_file.filename)
temperature_path = os.path.join(TRAIN_FOLDER, filename)
image_file.save(temperature_path)
rate = request.form.get('rate')
if not rate:
rate = 2.5
upload_result = {
"result": "success",
"rate": int(rate),
"image_file": image_file.filename if image_file else None,
"temperature_file": temperature_file.filename if temperature_file else None,
"result": None
}
if image_file or temperature_file:
res = fr.face_recognizer(image_file_path, int(rate))
if not res:
upload_result['result'] = {"predicted_rate": "no face found"}
else:
predicted_rate =lr.linear_regressor(res, int(rate))
upload_result['result'] = {"predicted_rate": predicted_rate}
return jsonify(upload_result)
def image():
if request.method == 'GET':
response = make_response(
render_template('upload.html')
)
return response
if request.method == 'POST':
if request.form.get('_auth_token') != auth_token:
response = make_response(
json.dumps("Token is not valid"), 401
)
response.headers['Content-Type'] = 'application/json'
return response
image_file_url = request.form.get('justimage', None)
image_file_path = None
if image_file_url and allowed_file(image_file_url):
h = httplib2.Http('.cache')
response, content = h.request(image_file_url, "GET")
ext = image_file_url.rsplit('.', 1)[1]
if response.status == '200' or '304':
filename="image." + ext
# filename = secure_filename(image_file.filename)
image_file_path = os.path.join(IMAGE_FOLDER, filename)
with open(image_file_path, 'wb') as f:
f.write(content)
#image_file.save(image_file_path)
temp_file_url = request.form.get('temperature', None)
if temp_file_url and allowed_file(temp_file_url):
h = httplib2.Http('.cache')
response, content = h.request(temp_file_url, "GET")
filename = "temp.bin"
temperature_path = os.path.join(TRAIN_FOLDER, filename)
with open(temperature_path, 'wb') as f:
f.write(content)
rate = request.form.get('rate')
if rate:
has_user_rate = True
else:
has_user_rate = False
rate = 2.5
upload_result = {
"result": "success",
"rate": rate,
"image_file": image_file_url if image_file_url else None,
"temperature_file": temp_file_url if temp_file_url else None,
"result": dict()
}
if image_file_url or temp_file_url:
try:
result, res = fr.face_recognizer(image_file_path, int(rate))
if result:
predicted_rate =lr.linear_regressor(res, int(rate))
upload_result['result'] = {"how_other_user_say": predicted_rate}
else:
upload_result['result'] = {"how_other_user_say": "no face found"}
except:
pass
if image_file_path:
thermal_rate = tg.thermal_grader(image_file_path, ext)
upload_result['result']['thermal_rate'] = thermal_rate if thermal_rate else 2.5
upload_result['result']['images'] = {
"orig": '/pic/image.'+ext,
"base": '/pic/base.'+ext,
"point1": '/pic/point1.'+ext,
"point2": '/pic/point2.'+ext
}
print upload_result
else:
upload_result['result']['error'] = "Can not get image from link"
print "Error"
return jsonify(upload_result)
