我正在使用Microsoft认知服务,使用python语言进行人脸和情绪识别。现在,首先我使用opencv从网络摄像机捕捉图像,并将该图像保存在文件夹中,在API后请求中,我传递图像地址进行处理,然后我得到所需的输出。现在我想节省处理时间,想从相机上捕捉图像并直接发送进行处理而不保存。我如何使用python来做到这一点?请帮帮我,我是编程领域的新手。
这是我的代码:
while(True):
ret,img=cam.read()
faces=faceDetect.detectMultiScale(img,1.3,5)
for(x,y,w,h) in faces:
sampleNumber=sampleNumber+1
cv2.imwrite("dataSet/User."+str(id)+"."+str(sampleNumber)+".jpg",img)
cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),3)
cv2.waitKey(10)
cv2.imshow("Face",img)
img_filename = "C:/Users/Robot 2/Desktop/codes_msc/dataSet/User."+str(id)+"."+str(sampleNumber)+".jpg"
with open(img_filename, 'rb') as f:
img_data = f.read()
header =
{
# Request headers for detection
'Content-Type': 'application/octet-stream',
'Ocp-Apim-Subscription-Key': subscription_key
}
r = requests.post(api_url,
params=params,
headers=header,
data=img_data)
#Here i don't want to pass img_data as an address i just want to pass image captured
您可以使用cv.imencode
对内存中的图像进行编码,并将其发送到API。它看起来如下:
ret,buf = cv.imencode('.jpg', img)
headers = {
'Content-Type':'application/octet-stream',
'Ocp-Apim-Subscription-Key':subscription_key }
api_url = 'https://westus.api.cognitive.microsoft.com/face/v1.0/detect'
params = {
'returnFaceLandmarks':True,
'returnFaceAttributes':'emotion,age,gender' }
r = requests.post(api_url,
params=params,
headers=headers,
data=buf.tobytes())