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new_mugshot.py
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new_mugshot.py
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#!/usr/bin/env python
# encoding: utf-8
#
# The MIT License (MIT)
#
# Copyright (c) 2015 CNRS
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
#
# AUTHORS
# Hervé BREDIN -- http://herve.niderb.fr/
"""
MediaEval mugshot
Usage:
new_mugshot [options] <person_name.png>
Options:
-h --help Show this screen.
--version Show version.
--debug Show debug information.
--url=URL Submission server URL
[default: http://api.mediaeval.niderb.fr]
--password=P45sw0Rd Password
--size=N Mugshot size in pixel [default: 100].
"""
from common import RobotCamomile
from docopt import docopt
import os
import cv2
from base64 import b64encode
arguments = docopt(__doc__, version='0.1')
size = int(arguments['--size'])
url = arguments['--url']
password = arguments['--password']
robot = RobotCamomile(
url, 'robot_evidence', password=password)
# test corpus
test = robot.getCorpusByName('mediaeval.test')
# mugshot layer
mugshotLayer = robot.getLayerByName(
test, 'mediaeval.groundtruth.evidence.mugshot')
path = arguments['<person_name.png>']
basename = os.path.basename(path)
person_name, _ = os.path.splitext(basename)
mugshot = cv2.resize(cv2.imread(path), (size, size))
# extract base64 PNG dump
_, stream = cv2.imencode('.png', mugshot)
png = b64encode(stream)
# get existing annotations for this person
# (there should be at most one)
annotations = robot.getAnnotations(layer=mugshotLayer,
fragment=person_name)
# if there is one, get its data content and update
# 'png' fields
if annotations:
data = annotations[0].data
data.png = png
data.PNG = png
# if not, create it from scratch
else:
data = {'png': png, 'PNG': png}
# create new annotation (don't update as it might lead
# to very heavy history)
# this is a hack
medium = robot.getMedia(test, returns_id=True)[0]
_ = robot.createAnnotation(mugshotLayer, medium=medium,
fragment=person_name, data=data,
returns_id=True)
# delete old annotation(s)
for annotation in annotations:
robot.deleteAnnotation(annotation._id)