def verifyex():
logger.info('Calling compare api')
if 'img1' not in request.files:
return "Img1 param missing", 400
if 'img2' not in request.files:
return "Img2 param missing", 400
logger.info('Compare api validation: both images found')
logger.info('Initiate image helper object')
imageHelper = ih.ImageHelper(logger)
logger.info('End Initiate image helper object')
logger.info('Start reading images from request')
img1 = imageHelper.get_rgb_img_from_req_file(request.files['img1'])
img2 = imageHelper.get_rgb_img_from_req_file(request.files['img2'])
# Define face compare object
logger.info('Initiate face comapre object')
face_compare = FaceCompare(logger)
distance = face_compare.compare(img1, img2)
logger.info("End getting comapre result: {}".format(distance))
result = json.dumps({
'distance':
distance,
'matched':
distance < config.general['acceptance-compare-distance']
})
resp = Response(response=result, status=200, mimetype="application/json")
return resp
def reco2(img1, sql, arr, pcount):
logger.info('Reco method')
g = adabas.Adabas(config, logger)
count, data = g.getData(sql)
# Define face compare object
logger.info('Initiate face comapre & helper objects')
face_compare = FaceCompare(logger)
imageHelper = ih.ImageHelper(logger)
logger.info('Start scan records')
for row in data:
try:
logger.info("Start converting to image from base64")
img2 = imageHelper.get_rgb_img_from_base64(row[3])
logger.info('End converting get_rgb_img_from_base64')
distance = face_compare.compare(img1, img2)
logger.info("End getting comapre result: {}".format(distance))
pcount.value = pcount.value + 1
logger.info("Increment procssing records by 1")
if (distance < config.general['acceptance-compare-distance']):
arr.append({'cid': row[0], 'distance': distance})
logger.info("append matched record")
except:
e = sys.exc_info()[0]
logger.error(
"Error while proccessing data: {}, exception: {}".format(
row[0], e))
return arr
def recognize2():
logger.info('Calling recognize2 api')
if 'image' not in request.files and 'image' not in request.form:
return "image param missing, image must be sent either posted file or public image path", 400
imageHelper = ih.ImageHelper(logger)
if 'image' in request.files:
logger.info('Image sent as post file')
img1 = imageHelper.get_rgb_img_from_req_file(request.files['image'])
else:
logger.info('Image sent as public path')
img1 = imageHelper.get_rgb_img_from_url_path(request.form['image'])
filter = None
if 'filter' in request.form:
filter = request.form['filter']
logger.info("Filter: {}".format(filter))
split = -1
if 'split' in request.form:
split = int(request.form['split'])
logger.info("split: {}".format(split))
# connect to db and loop through all images to compare
gallery = adabas.Adabas(config, logger)
sqls = gallery.getSplitJobs("profiles", filter, split)
print(sqls)
with Manager() as manager:
matches = manager.list()
processes = []
pcount = Value('i', 0)
for s in sqls:
p = Process(target=reco2, args=(img1, s, matches, pcount))
p.start()
processes.append(p)
for p in processes:
p.join()
logger.info("data count: {}".format(len(matches)))
logger.info(matches)
logger.info("Count of processed rows: {}".format(pcount.value))
x = []
for i in matches:
x.append(i)
result = json.dumps(x)
resp = Response(response=result,
status=200,
mimetype="application/json")
return resp
def recognize():
logger.info('Calling recognize api')
if 'image' not in request.files and 'image' not in request.form:
return "image param missing, image must be sent either posted file or public image path", 400
imageHelper = ih.ImageHelper(logger)
if 'image' in request.files:
logger.info('Image sent as post file')
img1 = imageHelper.get_rgb_img_from_req_file(request.files['image'])
else:
logger.info('Image sent as public path')
img1 = imageHelper.get_rgb_img_from_url_path(request.form['image'])
filter = None
if 'filter' in request.form:
filter = request.form['filter']
logger.info("Filter: {}".format(filter))
page = -1
if 'page' in request.form:
page = int(request.form['page'])
logger.info("Page: {}".format(page))
# connect to db and loop through all images to compare
gallery = adabas.Adabas(config, logger)
sqls = gallery.getJobs("profiles", filter, page)
print(sqls)
matches = []
threads = []
pcount = 0
for s in sqls:
t = threading.Thread(target=reco, args=(img1, s, matches, pcount))
t.start()
threads.append(t)
for t in threads:
t.join()
logger.info("data count: {}".format(len(matches)))
logger.info(matches)
logger.info("Count of processed rows: {}".format(pcount))
result = json.dumps(matches)
resp = Response(response=result, status=200, mimetype="application/json")
return resp
def robot_recognize():
method = "robot_recognize"
logger.info("Calling {} api".format(method))
if 'image' not in request.files and 'image' not in request.form:
return "image param missing, image must be sent either posted file or public image path", 400
imageHelper = ih.ImageHelper(logger)
if 'image' in request.files:
logger.info('Image sent as post file')
img1 = imageHelper.get_rgb_img_from_req_file(request.files['image'])
else:
logger.info('Image sent as public path')
img1 = imageHelper.get_rgb_img_from_url_path(request.form['image'])
face_compare = FaceCompare(logger)
results = face_compare.infer(img1, True)
result = json.dumps(results)
resp = Response(response=result, status=200, mimetype="application/json")
return resp
def verify():
logger.info('Calling verify api')
if 'image' not in request.files and 'image' not in request.form:
return "image param missing", 400
if 'subject_id' not in request.form:
return "subject_id param missing", 400
logger.info('verify api validation: passed')
imageHelper = ih.ImageHelper(logger)
logger.info('Start reading images from request')
if 'image' in request.files:
img1 = imageHelper.get_rgb_img_from_req_file(request.files['image'])
else:
img1 = imageHelper.get_rgb_img_from_url_path(request.form['image'])
logger.info("End getting img1 from request")
users_gallery = users.Users(config, logger)
img2_path = users_gallery.get(request.form['subject_id'])['ImagePath']
img2 = imageHelper.get_rgb_img_from_url_path(img2_path)
logger.info('End getting img2 from request')
# Define face compare object
logger.info('Initiate face comapre object')
face_compare = FaceCompare(logger)
distance = face_compare.compare(img1, img2)
logger.info("End getting verify result: {}".format(distance))
result = json.dumps({
'distance':
distance,
'verified':
distance < config.general['acceptance-compare-distance']
})
logger.info("Response result: {}".format(result))
resp = Response(response=result, status=200, mimetype="application/json")
return resp