def search():
if request.method == 'POST':
results_arr = []
img_path = request.form.get('img')
try:
import cv2
d = Descriptor((8, 12, 3))
query = cv2.imread('static/images/' + img_path)
features = d.describe(query)
searcher = Searcher('index.csv')
results = searcher.search(features)
for (score, id) in results:
results_arr.append({'image': str(id), 'score': str(score)})
return jsonify(results=(results_arr[::-1][:5]))
except:
return jsonify(
{'sorry': 'Sorry, something went wrong! Please try again.'})
default=20,
type=int)
# analizer related options
analizer = parser.add_argument_group('analizer')
analizer.add_argument("-k",
"--keyword",
dest="keyword",
required=True,
help="Sentence to search on the web")
analizer.add_argument("-e",
"--engine",
dest="engine",
type=str,
help="Engine to use for searching."
" Defaults to google ",
default="google")
analizer.add_argument("-l",
"--num-links",
dest="number_of_links",
help="Number of links to return. "
"Defaults to 20",
default=20,
type=int)
args = parser.parse_args()
g = Searcher(args.keyword,
engine=args.engine,
number_of_links=args.number_of_links)
print args
links = g.get_links()
