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基于AWS的数据科学实践
book

基于AWS的数据科学实践

by Chris Fregly, Antje Barth
September 2022
Intermediate to advanced
549 pages
11h 27m
Chinese
China Electric Power Press Ltd.
Content preview from 基于AWS的数据科学实践
数据科学的应用场景
|
47
|userId| recommendations|
+------+--------------------+
| 12|[[46, 6.146928], ...|
| 1|[[46, 4.963598], ...|
| 6|[[25, 4.5243497],...|
+------+--------------------+
2.3
使用
Amazon Rekognition
检测不当视频
计算机视觉在很多不同使用场景下都很有用,包括对于用户生成内容的审核,用于
安全登录的数字身份验证,以及用于无人驾驶汽车的危害识别。
Amazon Rekognition
是一个用于识别物体的高级
AI
服务,能够识别包括人、文本
和从图像和视频中发现的活动。
Amazon Rekognition
使用
AutoML
训练定制模型来
识别适用于我们应用场景和商业领域的物体。
让我们使用
Amazon Rekognition
来识别应用程序用户上传的视频中的暴力内容。例
如,我们想要通过
Amazon Rekognition
的内容审核
API
来拒绝包含武器的视频,代
码如下:
startModerationLabelDetection = rekognition.start_content_moderation(
Video={
'S3Object': {
'Bucket': bucket,
'Name': videoName,
}
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Publisher Resources

ISBN: 9787519869663