解决方法：

以下是使用AWS SDK for Python（boto3）的示例代码，演示如何使用AWS Kinesis视频流（KVS）实现多点对点视频流。

1. 安装AWS SDK for Python（boto3）：

   pip install boto3
   

2. 创建AWS Kinesis视频流（KVS）：

   import boto3
   
   client = boto3.client('kinesisvideo')
   
   response = client.create_stream(
       StreamName='my-stream',
       DataRetentionInHours=48
   )
   
   # 获取stream ARN
   stream_arn = response['StreamARN']
   

3. 获取AWS Kinesis视频流（KVS）数据端点：

   response = client.get_data_endpoint(
       StreamName='my-stream',
       APIName='GET_MEDIA'
   )
   
   # 获取数据端点
   data_endpoint = response['DataEndpoint']
   

4. 创建KVS Producer：

   import boto3
   
   client = boto3.client('kinesis-video-media', endpoint_url=data_endpoint)
   
   response = client.create_signaling_channel(
       ChannelName='my-signaling-channel'
   )
   
   # 获取信令通道ARN
   channel_arn = response['ChannelARN']
   
   response = client.get_signaling_channel_endpoint(
       ChannelARN=channel_arn,
       SingleMasterChannelEndpointConfiguration={
           'Protocols': ['HTTPS']
       }
   )
   
   # 获取信令通道端点
   channel_endpoint = response['ResourceEndpointList'][0]['ResourceEndpoint']
   

5. 创建KVS Consumer：

   import boto3
   
   client = boto3.client('kinesis-video-media', endpoint_url=data_endpoint)
   
   response = client.create_signaling_channel(
       ChannelName='my-signaling-channel'
   )
   
   # 获取信令通道ARN
   channel_arn = response['ChannelARN']
   
   response = client.get_signaling_channel_endpoint(
       ChannelARN=channel_arn,
       SingleMasterChannelEndpointConfiguration={
           'Protocols': ['HTTPS']
       }
   )
   
   # 获取信令通道端点
   channel_endpoint = response['ResourceEndpointList'][0]['ResourceEndpoint']
   

6. 发送视频流到AWS Kinesis视频流（KVS）：

   import cv2
   import time
   import threading
   import boto3
   
   client = boto3.client('kinesis-video-media', endpoint_url=data_endpoint)
   
   # 视频捕捉
   cap = cv2.VideoCapture(0)
   
   def send_video_stream():
       while True:
           ret, frame = cap.read()
           if not ret:
               break
           
           # 转换图像为bytes
           _, frame_encoded = cv2.imencode('.jpeg', frame)
           frame_bytes = frame_encoded.tobytes()
           
           # 发送视频帧到KVS
           response = client.put_media(
               StreamName='my-stream',
               FragmentTimecodeType='ABSOLUTE',
               Media=data_bytes,
               ProducerStartTimestamp=int(time.time() * 1000)
           )
           
           time.sleep(0.1)
   
   # 启动视频发送线程
   threading.Thread(target=send_video_stream).start()
   

7. 接收AWS Kinesis视频流（KVS）中的视频流：

   import cv2
   import boto3
   
   client = boto3.client('kinesis-video-media', endpoint_url=data_endpoint)
   
   response = client.get_media(
       StreamName='my-stream',
       StartSelector={
           'StartSelectorType': 'EARLIEST'
       }
   )
   
   stream = response['Payload'].iter_chunks()
   
   # 视频显示
   for chunk in stream:
       frame = cv2.imdecode(np.frombuffer(chunk, dtype=np.uint8), cv2.IMREAD_COLOR)
       cv2.imshow('Video Stream', frame)
   
       if cv2.waitKey(1) & 0xFF == ord('q'):
           break
   
   cv2.destroyAllWindows()
   

以上代码示例演示了如何使用AWS SDK for Python（boto3）创建AWS Kinesis视频流（KVS）、创建KVS Producer 和KVS Consumer、发送视频流到KVS以及接收KVS中的视频流。您可以根据您的需求进行修改和扩展。请确保您已经正确配置了AWS凭证。