cat_detection_image.py

#!/usr/bin/env python3
# Copyright 2017 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Modified Object detection library demo from chadwallacehart.
Original file:
    https://github.com/google/aiyprojects-raspbian/blob/aiyprojects/src/examples/vision/object_detection.py

 - Takes an input image and tries to detect person or cat.
 - Draws bounding boxes around detected objects.
 - Saves an image with bounding boxes around detected objects.
"""
import argparse
import io
import sys
from PIL import Image
from PIL import ImageDraw

from aiy.vision.inference import ImageInference
# from aiy.vision.models import object_detection
# Use my modified file instead
import aiy_cat_detection


def _crop_center(image):
    width, height = image.size
    size = min(width, height)
    x, y = (width - size) / 2, (height - size) / 2
    return image.crop((x, y, x + size, y + size)), (x, y)


def main():
    parser = argparse.ArgumentParser()
    parser.add_argument('--input', '-i', dest='input', required=True)
    parser.add_argument('--output', '-o', dest='output')
    args = parser.parse_args()

    with ImageInference(aiy_cat_detection.model()) as inference:
        image = Image.open(
            io.BytesIO(sys.stdin.buffer.read())
            if args.input == '-' else args.input)
        image_center, offset = _crop_center(image)
        draw = ImageDraw.Draw(image)
        result = inference.run(image_center)
        for i, obj in enumerate(aiy_cat_detection.get_objects(result, 0.3, offset)):
            print('Object #%d: %s' % (i, str(obj)))
            x, y, width, height = obj.bounding_box
            draw.rectangle((x, y, x + width, y + height), outline='red')
        if args.output:
            image.save(args.output)


if __name__ == '__main__':
    main()