使用Google Cloud Vision检测物体的Raspberry Pi3网络摄像机

Question

我想将USB网络摄像机与Raspberry Pi3相集成，并将拍摄的图像发送到Google Cloud Vision以检测物体。任何Python 3库的做法都一样吗？

我已经成功地使用"Motion"

任何类似丕相机库我的网络摄像头和能够通过URL的视频流，或者可以让我在上面提到的动态库前进。会有很大的帮助。

Answer 1

做:)

import pygame 
import pygame.camera 
import time 
import base64 

from googleapiclient import discovery 
from oauth2client.client import GoogleCredentials 


pygame.camera.init() 
pygame.camera.list_cameras() 
cam = pygame.camera.Camera("/dev/video0", (640, 480)) 
cam.start() 
time.sleep(0.1) 
img = cam.get_image() 
if file: 
    pygame.image.save(img, file) 
else: 
    pygame.image.save(img, "img_captured.jpg") 
cam.stop() 

credentials = GoogleCredentials.get_application_default() 
service = discovery.build('vision', 'v1', credentials=credentials) 

with open('img_captured.jpg', 'rb') as image: 
    image_content = base64.b64encode(image.read()) 
    service_request = service.images().annotate(body={ 
     'requests': [{ 
      'image': { 
       'content': image_content.decode('UTF-8') 
      }, 
      'features': [{ 
       'type': 'LOGO_DETECTION', 
       'maxResults': 1 
      }] 
     }] 
    }) 
    response = service_request.execute() 

    try: 
     label = response['responses'][0]['logoAnnotations'][0]['description'] 
    except: 
     label = "No response." 

    print("Detected -->" + label)