Home Backend Development Python Tutorial Python connects to Alibaba Cloud interface to realize real-time video monitoring function

Python connects to Alibaba Cloud interface to realize real-time video monitoring function

Jul 05, 2023 pm 12:06 PM
python Ali Cloud Real-time video surveillance

Python connects to Alibaba Cloud interface to realize real-time video monitoring function

In modern society, video monitoring has become an important security method. With the development of technology, more and more people are paying attention to the realization of real-time video surveillance functions. Alibaba Cloud, as a world-leading cloud computing service provider, provides powerful cloud interfaces and convenient data transmission and storage services for developers. Next, we will use the Python programming language and combine it with Alibaba Cloud's interface to implement the real-time video monitoring function.

First, create an account in the Alibaba Cloud console, and then create an OSS (Object Storage Service) instance. In the OSS instance, create a bucket to store video files. Next, we need to install the Alibaba Cloud SDK, using the following command:

pip install aliyun-python-sdk-core
pip install aliyun-python-sdk-oss
pip install aliyun-python-sdk-vod
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Then, we need to introduce the corresponding library into the code:

import oss2
import json
import time
from aliyunsdkcore.client import AcsClient
from aliyunsdkvod.request.v20170321 import CreateUploadVideoRequest,RefreshUploadVideoRequest
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Next, we need to set some necessary parameters:

accessKeyId = '<AccessKeyId>'
accessKeySecret = '<AccessKeySecret>'
bucketName = '<BucketName>'
endPoint = '<EndPoint>'
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Then, we need to implement a function to upload the video and obtain the video URL:

def upload_video(video_file):
    auth = oss2.Auth(accessKeyId, accessKeySecret)
    bucket = oss2.Bucket(auth, endPoint, bucketName)
    video_name = f'{int(time.time())}.mp4'
    bucket.put_object_from_file(video_name, video_file)
    return video_name

def get_video_url(video_name):
    auth = oss2.Auth(accessKeyId, accessKeySecret)
    bucket = oss2.Bucket(auth, endPoint, bucketName)
    return bucket.sign_url('GET', video_name, 60)
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Now, let us implement a function to call the Alibaba Cloud interface for video monitoring:

def video_monitoring(video_file):
    video_name = upload_video(video_file)
    client = AcsClient(accessKeyId, accessKeySecret, '<RegionId>')
    request = CreateUploadVideoRequest.CreateUploadVideoRequest()
    request.set_Title("实时监控")
    request.set_FileName(video_name)
    request.set_FileSize(video_file.getbuffer().nbytes)
    response = client.do_action_with_exception(request)
    response = json.loads(response)
    video_id = response['VideoId']
    while True:
        request = RefreshUploadVideoRequest.RefreshUploadVideoRequest()
        request.set_VideoId(video_id)
        response = client.do_action_with_exception(request)
        response = json.loads(response)
        if response['Status'] == 'Success':
            break
        time.sleep(1)
    video_url = get_video_url(video_name)
    print("实时监控视频URL:", video_url)
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Finally, we only need to call the video_monitoring function and pass in the video file to start real-time video monitoring:

if __name__ == "__main__":
    video_file = open("video.mp4", "rb")
    video_monitoring(video_file)
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Through the above code examples, we can see that with the help of Alibaba Cloud's interface and Python programming language, we can easily implement real-time video surveillance functions. This provides more possibilities for applications in the field of video surveillance and also contributes to ensuring public safety.

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