Python中的Google Cloud Video Intelligence API-无法对文件夹中的多个视频运行对象跟踪

如何解决Python中的Google Cloud Video Intelligence API-无法对文件夹中的多个视频运行对象跟踪

我正在尝试在包含多个视频的文件夹上运行对象跟踪。我的存储桶中有5个视频,根据此处的文档,它建议使用通配符(*)。但是,当我运行整个脚本时,只有1个视频被注释,而不是包含5个视频的整个文件夹。另外,在我的GCS存储桶中没有将response2.json创建为output_uri。

要标识多个视频,视频URI可能在对象ID中包含通配符。支持的通配符:'*'匹配0个或多个字符; ‘?’以匹配1个字符。 https://googleapis.dev/python/videointelligence/latest/gapic/v1/types.html

这是我在input_uri代码中所做的:

gcs_uri = 'gs://video_intel/*'

如果您查看屏幕截图,它应该是存储区ID名称,并在同一文件夹中显示多个视频。

enter image description here

任何人都可以帮助解决这个问题。谢谢。

完整脚本:

import os
os.environ['GOOGLE_APPLICATION_CREDENTIALS']='poc-video-intelligence-da5d4d52cb97.json'
"""Object tracking in a video stored on GCS."""
from google.cloud import videointelligence

video_client = videointelligence.VideoIntelligenceServiceClient()
features = [videointelligence.enums.Feature.OBJECT_TRACKING]
gcs_uri = 'gs://video_intel/*'
output_uri = 'gs://video_intel/response2.json'

operation = video_client.annotate_video(input_uri=gcs_uri,features=features,output_uri=output_uri)
print("\nProcessing video for object annotations.")

result = operation.result(timeout=300)
print("\nFinished processing.\n")

# The first result is retrieved because a single video was processed.
object_annotations = result.annotation_results[0].object_annotations

for object_annotation in object_annotations:
    print("Entity description: {}".format(object_annotation.entity.description))
    if object_annotation.entity.entity_id:
        print("Entity id: {}".format(object_annotation.entity.entity_id))

    print(
        "Segment: {}s to {}s".format(
            object_annotation.segment.start_time_offset.seconds
            + object_annotation.segment.start_time_offset.nanos / 1e9,object_annotation.segment.end_time_offset.seconds
            + object_annotation.segment.end_time_offset.nanos / 1e9,)
    )

    print("Confidence: {}".format(object_annotation.confidence))

    # Here we print only the bounding box of the first frame in the segment
    frame = object_annotation.frames[0]
    box = frame.normalized_bounding_box
    print(
        "Time offset of the first frame: {}s".format(
            frame.time_offset.seconds + frame.time_offset.nanos / 1e9
        )
    )
    print("Bounding box position:")
    print("\tleft  : {}".format(box.left))
    print("\ttop   : {}".format(box.top))
    print("\tright : {}".format(box.right))
    print("\tbottom: {}".format(box.bottom))
    print("\n")

解决方法

请修改'gcs_uri ='gs:// video_intel / ''到gcs_uri ='gs:// video_intel / 。*'

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