#!/usr/bin/env python # Copyright 2017 Google Inc. All Rights Reserved. # # 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. """Demonstrates web detection using the Google Cloud Vision API. Example usage: python web_detect.py https://goo.gl/X4qcB6 python web_detect.py ../detect/resources/landmark.jpg python web_detect.py gs://your-bucket/image.png """ # [START full_tutorial] # [START imports] import argparse import io from google.cloud import vision from google.cloud.vision import types # [END imports] def annotate(path): """Returns web annotations given the path to an image.""" # [START get_annotations] client = vision.ImageAnnotatorClient() if path.startswith('http') or path.startswith('gs:'): image = types.Image() image.source.image_uri = path else: with io.open(path, 'rb') as image_file: content = image_file.read() image = types.Image(content=content) web_detection = client.web_detection(image=image).web_detection # [END get_annotations] return web_detection def report(annotations): """Prints detected features in the provided web annotations.""" # [START print_annotations] if annotations.pages_with_matching_images: print('\n{} Pages with matching images retrieved'.format( len(annotations.pages_with_matching_images))) for page in annotations.pages_with_matching_images: print('Url : {}'.format(page.url)) if annotations.full_matching_images: print ('\n{} Full Matches found: '.format( len(annotations.full_matching_images))) for image in annotations.full_matching_images: print('Url : {}'.format(image.url)) if annotations.partial_matching_images: print ('\n{} Partial Matches found: '.format( len(annotations.partial_matching_images))) for image in annotations.partial_matching_images: print('Url : {}'.format(image.url)) if annotations.web_entities: print ('\n{} Web entities found: '.format( len(annotations.web_entities))) for entity in annotations.web_entities: print('Score : {}'.format(entity.score)) print('Description: {}'.format(entity.description)) # [END print_annotations] if __name__ == '__main__': # [START run_web] parser = argparse.ArgumentParser( description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter) path_help = str('The image to detect, can be web URI, ' 'Google Cloud Storage, or path to local file.') parser.add_argument('image_url', help=path_help) args = parser.parse_args() report(annotate(args.image_url)) # [END run_web] # [END full_tutorial]