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[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["難以理解","hardToUnderstand","thumb-down"],["資訊或程式碼範例有誤","incorrectInformationOrSampleCode","thumb-down"],["缺少我需要的資訊/範例","missingTheInformationSamplesINeed","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],[],[],[],null,["# Web detection\n\nPerform web detection on a file, URL, or Cloud Storage URI.\n\nExplore further\n---------------\n\n\nFor detailed documentation that includes this code sample, see the following:\n\n- [Web detection tutorial](/vision/docs/internet-detection)\n\nCode sample\n-----------\n\n### Python\n\n\nBefore trying this sample, follow the Python setup instructions in the\n[Vision quickstart using\nclient libraries](/vision/docs/quickstart-client-libraries).\n\n\nFor more information, see the\n[Vision Python API\nreference documentation](/python/docs/reference/vision/latest).\n\n\nTo authenticate to Vision, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for a local development environment](/docs/authentication/set-up-adc-local-dev-environment).\n\n import argparse\n\n from google.cloud import vision\n\n\n\n def annotate(path: str) -\u003e vision.WebDetection:\n \"\"\"Returns web annotations given the path to an image.\n\n Args:\n path: path to the input image.\n\n Returns:\n An WebDetection object with relevant information of the\n image from the internet (i.e., the annotations).\n \"\"\"\n client = vision.https://cloud.google.com/python/docs/reference/vision/latest/google.cloud.vision_v1.services.image_annotator.ImageAnnotatorClient.html()\n\n if path.startswith(\"http\") or path.startswith(\"gs:\"):\n image = vision.https://cloud.google.com/python/docs/reference/vision/latest/google.cloud.vision_v1.types.Image.html()\n image.source.image_uri = path\n\n else:\n with open(path, \"rb\") as image_file:\n content = image_file.read()\n\n image = vision.https://cloud.google.com/python/docs/reference/vision/latest/google.cloud.vision_v1.types.Image.html(content=content)\n\n web_detection = client.web_detection(image=image).web_detection\n\n return web_detection\n\n\n def report(annotations: vision.WebDetection) -\u003e None:\n \"\"\"Prints detected features in the provided web annotations.\n\n Args:\n annotations: The web annotations (WebDetection object) from which\n the features should be parsed and printed.\n \"\"\"\n if annotations.pages_with_matching_images:\n print(\n f\"\\n{len(annotations.pages_with_matching_images)} Pages with matching images retrieved\"\n )\n\n for page in annotations.pages_with_matching_images:\n print(f\"Url : {page.url}\")\n\n if annotations.full_matching_images:\n print(f\"\\n{len(annotations.full_matching_images)} Full Matches found: \")\n\n for image in annotations.full_matching_images:\n print(f\"Url : {image.url}\")\n\n if annotations.partial_matching_images:\n print(f\"\\n{len(annotations.partial_matching_images)} Partial Matches found: \")\n\n for image in annotations.partial_matching_images:\n print(f\"Url : {image.url}\")\n\n if annotations.web_entities:\n print(f\"\\n{len(annotations.web_entities)} Web entities found: \")\n\n for entity in annotations.web_entities:\n print(f\"Score : {entity.score}\")\n print(f\"Description: {entity.description}\")\n\n\n if __name__ == \"__main__\":\n parser = argparse.ArgumentParser(\n description=__doc__,\n formatter_class=argparse.RawDescriptionHelpFormatter,\n )\n path_help = str(\n \"The image to detect, can be web URI, \"\n \"Google Cloud Storage, or path to local file.\"\n )\n parser.add_argument(\"image_url\", help=path_help)\n args = parser.parse_args()\n\n report(annotate(args.image_url))\n\nWhat's next\n-----------\n\n\nTo search and filter code samples for other Google Cloud products, see the\n[Google Cloud sample browser](/docs/samples?product=vision)."]]