Question

我正在尝试使用Boto3从kinesis获取视频流，然后使用OpenCV显示Feed并同时将其保存到文件中。

获取签名URL然后获取Getmedia请求的过程似乎完美无缺，就在我尝试使用OpenCV渲染它时，它似乎无法正常工作。

数据肯定会转到流

import boto3
import numpy as np
import cv2

kinesis_client = boto3.client('kinesisvideo',
                              region_name='eu-west-1',
                              aws_access_key_id='ACC',
                              aws_secret_access_key='KEY'
                              )

response = kinesis_client.get_data_endpoint(
    StreamARN='ARN',
    APIName='GET_MEDIA'
)
video_client = boto3.client('kinesis-video-media',
                            endpoint_url=response['DataEndpoint']
                            )
stream = video_client.get_media(
    StreamARN='ARN',
    StartSelector={'StartSelectorType': 'NOW'}
)
# print(stream)


datafeed = stream['Payload'].read()
fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter('output.avi',fourcc, 20.0, (640,480))

while(True):
        ret, frame = stream['Payload'].read()


        out.write(frame)

        cv2.imshow('frame',frame)
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break
        else:
            break
cap.release()
out.release()
cv2.destroyAllWindows()

Answer 1

最后要回答这个问题，我找到了一种使用kineses视频流提供的HLS Output的基本解决方案。已于2018年7月上市

博客文章：https://aws.amazon.com/blogs/aws/amazon-kinesis-video-streams-adds-support-for-hls-output-streams/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+AmazonWebServicesBlog+%28Amazon+Web+Services+Blog%29

我在下面粘贴了我的代码的工作版本。

我使用AWS ENV变量进行BOTO3身份验证。

import boto3
import cv2

STREAM_NAME = "test-stream"
kvs = boto3.client("kinesisvideo")
# Grab the endpoint from GetDataEndpoint
endpoint = kvs.get_data_endpoint(
    APIName="GET_HLS_STREAMING_SESSION_URL",
    StreamName=STREAM_NAME
)['DataEndpoint']

print(endpoint)

# # Grab the HLS Stream URL from the endpoint
kvam = boto3.client("kinesis-video-archived-media", endpoint_url=endpoint)
url = kvam.get_hls_streaming_session_url(
    StreamName=STREAM_NAME,
    PlaybackMode="LIVE"
)['HLSStreamingSessionURL']


vcap = cv2.VideoCapture(url)

while(True):
    # Capture frame-by-frame
    ret, frame = vcap.read()

    if frame is not None:
        # Display the resulting frame
        cv2.imshow('frame',frame)

        # Press q to close the video windows before it ends if you want
        if cv2.waitKey(22) & 0xFF == ord('q'):
            break
    else:
        print("Frame is None")
        break

# When everything done, release the capture
vcap.release()
cv2.destroyAllWindows()
print("Video stop")

Boto3 Kinesis视频GetMedia和OpenCV

1 个答案: