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我将 Google Cloud Functions 与他们的 Vision API 和 Translate API 结合使用来从图像中提取文本，然后将提取的文本翻译成各种语言。输出将传递到 Pub/Sub 主题，然后存储在 Cloud Storage 存储分区中。所有组件似乎都工作正常，除了我的输出没有为语言正确编码，所以我得到的字符串是“Pâté Oeufs Mimosa”而不是“Pâté – Oeufs Mimosa”。

这是我正在使用的相关代码：

# [START functions_ocr_detect]
def detect_text(bucket, filename):
    print('Looking for text in image {}'.format(filename))

    futures = []

    text_detection_response = vision_client.text_detection({
        'source': {'image_uri': 'gs://{}/{}'.format(bucket, filename)}
    })
    annotations = text_detection_response.text_annotations
    if len(annotations) > 0:
        text = annotations[0].description
    else:
        text = ''
    print('Extracted text {} from image ({} chars).'.format(text, len(text)))

    detect_language_response = translate_client.detect_language(text)
    src_lang = detect_language_response['language']
    print('Detected language {} for text {}.'.format(src_lang, text))

    # Submit a message to the bus for each target language
    for target_lang in TO_LANG:
        topic_name = TRANSLATE_TOPIC
        if src_lang == target_lang or src_lang == 'und':
            topic_name = RESULT_TOPIC
        message = {
            'text': text,
            'filename': filename,
            'lang': target_lang,
            'src_lang': src_lang
        }
        message_data = json.dumps(message).encode('utf-8')
        topic_path = publisher.topic_path(project_id, topic_name)
        future = publisher.publish(topic_path, data=message_data)
        futures.append(future)
    for future in futures:
        future.result()
# [END functions_ocr_detect]


# [START message_validatation_helper]
def validate_message(message, param):
    var = message.get(param)
    if not var:
        raise ValueError('{} is not provided. Make sure you have \
                          property {} in the request'.format(param, param))
    return var
# [END message_validatation_helper]


# [START functions_ocr_process]
def process_image(file, context):
    """Cloud Function triggered by Cloud Storage when a file is changed.
    Args:
        file (dict): Metadata of the changed file, provided by the triggering
                                 Cloud Storage event.
        context (google.cloud.functions.Context): Metadata of triggering event.
    Returns:
        None; the output is written to stdout and Stackdriver Logging
    """
    bucket = validate_message(file, 'bucket')
    name = validate_message(file, 'name')

    detect_text(bucket, name)

    print('File {} processed.'.format(file['name']))
# [END functions_ocr_process]


# [START functions_ocr_translate]
def translate_text(event, context):
    if event.get('data'):
        message_data = base64.b64decode(event['data']).decode('utf-8')
        message = json.loads(message_data)
    else:
        raise ValueError('Data sector is missing in the Pub/Sub message.')

    text = validate_message(message, 'text')
    filename = validate_message(message, 'filename')
    target_lang = validate_message(message, 'lang')
    src_lang = validate_message(message, 'src_lang')

    print('Translating text into {}.'.format(target_lang))
    translated_text = translate_client.translate(text,
                                                 target_language=target_lang,
                                                 source_language=src_lang)
    topic_name = RESULT_TOPIC']
    message = {
        'text': translated_text['translatedText'],
        'filename': filename,
        'lang': target_lang,
    }
    message_data = json.dumps(message).encode('utf-8')
    topic_path = publisher.topic_path(project_id, topic_name)
    future = publisher.publish(topic_path, data=message_data)
    future.result()
# [END functions_ocr_translate]


# [START functions_ocr_save]
def save_result(event, context):
    if event.get('data'):
        message_data = base64.b64decode(event['data']).decode('utf-8')
        message = json.loads(message_data)
    else:
        raise ValueError('Data sector is missing in the Pub/Sub message.')

    text = validate_message(message, 'text')
    filename = validate_message(message, 'filename')
    lang = validate_message(message, 'lang')

    print('Received request to save file {}.'.format(filename))

    bucket_name = RESULT_BUCKET
    result_filename = '{}_{}.txt'.format(filename, lang)
    bucket = storage_client.get_bucket(bucket_name)
    blob = bucket.blob(result_filename)

    print('Saving result to {} in bucket {}.'.format(result_filename, bucket_name))
    blob.upload_from_string(text)

    print('File saved.')
# [END functions_ocr_save]
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1 回答 1

1

一个blob / 对象具有一个content_encoding,content_type和content_languageheader... 这可能应该是：content_type='text/plain'; charset='utf-8', content_encoding='utf-8', content_language='fr'.

于 2019-05-15T03:25:06.853 回答