How can i pass capture image directly as a binary data for processing in API calling (Microsoft Cognitive...












0















I am using Microsoft cognitive services for face and emotion recognition with python language.
Now first i am capturing a image from the webcam using opencv and saving that image in a folder and in API post request i am passing image address for processing then i am getting the desired output.
Now i want to save time of processing and want to capture the image from camera and send directly for processing without saving it. How can i do this using python ?
Please help me i an newbie in field of programming.



Here's my code:



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









share|improve this question



























    0















    I am using Microsoft cognitive services for face and emotion recognition with python language.
    Now first i am capturing a image from the webcam using opencv and saving that image in a folder and in API post request i am passing image address for processing then i am getting the desired output.
    Now i want to save time of processing and want to capture the image from camera and send directly for processing without saving it. How can i do this using python ?
    Please help me i an newbie in field of programming.



    Here's my code:



    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









    share|improve this question

























      0












      0








      0


      1






      I am using Microsoft cognitive services for face and emotion recognition with python language.
      Now first i am capturing a image from the webcam using opencv and saving that image in a folder and in API post request i am passing image address for processing then i am getting the desired output.
      Now i want to save time of processing and want to capture the image from camera and send directly for processing without saving it. How can i do this using python ?
      Please help me i an newbie in field of programming.



      Here's my code:



      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









      share|improve this question














      I am using Microsoft cognitive services for face and emotion recognition with python language.
      Now first i am capturing a image from the webcam using opencv and saving that image in a folder and in API post request i am passing image address for processing then i am getting the desired output.
      Now i want to save time of processing and want to capture the image from camera and send directly for processing without saving it. How can i do this using python ?
      Please help me i an newbie in field of programming.



      Here's my code:



      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






      python opencv computer-vision microsoft-cognitive






      share|improve this question













      share|improve this question











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      share|improve this question










      asked Nov 15 '18 at 10:47









      Akash DixitAkash Dixit

      115




      115
























          1 Answer
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          0














          You can encode the image in memory with cv.imencode, and send that to the API. It would look something like the following:



          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())





          share|improve this answer
























          • its worked out for me success, img_data = cv2.imencode('.jpg', img) img_data = img_data.tobytes()

            – Akash Dixit
            Nov 22 '18 at 7:24











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          active

          oldest

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          0














          You can encode the image in memory with cv.imencode, and send that to the API. It would look something like the following:



          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())





          share|improve this answer
























          • its worked out for me success, img_data = cv2.imencode('.jpg', img) img_data = img_data.tobytes()

            – Akash Dixit
            Nov 22 '18 at 7:24
















          0














          You can encode the image in memory with cv.imencode, and send that to the API. It would look something like the following:



          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())





          share|improve this answer
























          • its worked out for me success, img_data = cv2.imencode('.jpg', img) img_data = img_data.tobytes()

            – Akash Dixit
            Nov 22 '18 at 7:24














          0












          0








          0







          You can encode the image in memory with cv.imencode, and send that to the API. It would look something like the following:



          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())





          share|improve this answer













          You can encode the image in memory with cv.imencode, and send that to the API. It would look something like the following:



          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())






          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 20 '18 at 1:39









          cthrashcthrash

          2,4652610




          2,4652610













          • its worked out for me success, img_data = cv2.imencode('.jpg', img) img_data = img_data.tobytes()

            – Akash Dixit
            Nov 22 '18 at 7:24



















          • its worked out for me success, img_data = cv2.imencode('.jpg', img) img_data = img_data.tobytes()

            – Akash Dixit
            Nov 22 '18 at 7:24

















          its worked out for me success, img_data = cv2.imencode('.jpg', img) img_data = img_data.tobytes()

          – Akash Dixit
          Nov 22 '18 at 7:24





          its worked out for me success, img_data = cv2.imencode('.jpg', img) img_data = img_data.tobytes()

          – Akash Dixit
          Nov 22 '18 at 7:24




















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