How can i handle “list index out of range” error when no face found in image for Face and emotion...











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I am using Microsoft cognitive services for face and emotion Recognition using API.
Now when i run my code camera started capturing and sending image for processing and when face found in the image it gives output as an array and if no face is found in the image, the code gives the error and it will stop code execution how to handle this error in code.i want when no face found in image it bypass the image and go for another image



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.rectangle(img,(x,y),(x+w,y+h),(0,255,0),3)
cv2.waitKey(10)

success, img_data = cv2.imencode('.jpg', img)
img_data = img_data.tobytes()


result = a[0]['faceId']
r = requests.post(api_url,
params=params,
headers=header,
data=img_data)
try:
conn =httplib.HTTPSConnection('centralindia.api.cognitive.microsoft.com')
conn.request("POST", "/face/v1.0/identify?%s" % params1, str(body), header1)
response = conn.getresponse()
data = response.read()
responseObject = json.loads(data)
print(data)
print(responseObject)
x = responseObject[0]['candidates'][0]['personId']
#x is the personId
print (x)
print [str(x)]
if x=="3a2861ff-5b0c-4056-9c6c-f917e0523342":
name="AKASH DIXIT"
print("AKASH DIXIT")
cv2.putText(img, name, (10, 120), font, 1, (0, 0, 255), 2, cv2.LINE_AA)
cv2.putText(img, c, (10, 180), font, 1, (0, 0, 255), 2, cv2.LINE_AA)
cv2.imshow("Face", img)
conn.close()
except Exception as e:
print(e)

IndexError: list index out of range


Here is the image of the error










share|improve this question
























  • You can use try and except
    – omri_saadon
    Nov 22 at 7:44






  • 1




    Clearly, a is an empty list (or array, or tuple - we cannot tell because you never showed us your code). Please read about how to ask and edit your question.
    – DYZ
    Nov 22 at 7:45












  • the code is updated please have a look
    – Akash Dixit
    Nov 22 at 7:52










  • where did you declare "a"?
    – yapws87
    Nov 22 at 12:01












  • You should add if len(responseObject)>0:. Though, in all honesty, you should consider skipping the call to the Face API if OpenCV didn't detect a face.
    – cthrash
    Nov 22 at 17:50















up vote
-2
down vote

favorite












I am using Microsoft cognitive services for face and emotion Recognition using API.
Now when i run my code camera started capturing and sending image for processing and when face found in the image it gives output as an array and if no face is found in the image, the code gives the error and it will stop code execution how to handle this error in code.i want when no face found in image it bypass the image and go for another image



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.rectangle(img,(x,y),(x+w,y+h),(0,255,0),3)
cv2.waitKey(10)

success, img_data = cv2.imencode('.jpg', img)
img_data = img_data.tobytes()


result = a[0]['faceId']
r = requests.post(api_url,
params=params,
headers=header,
data=img_data)
try:
conn =httplib.HTTPSConnection('centralindia.api.cognitive.microsoft.com')
conn.request("POST", "/face/v1.0/identify?%s" % params1, str(body), header1)
response = conn.getresponse()
data = response.read()
responseObject = json.loads(data)
print(data)
print(responseObject)
x = responseObject[0]['candidates'][0]['personId']
#x is the personId
print (x)
print [str(x)]
if x=="3a2861ff-5b0c-4056-9c6c-f917e0523342":
name="AKASH DIXIT"
print("AKASH DIXIT")
cv2.putText(img, name, (10, 120), font, 1, (0, 0, 255), 2, cv2.LINE_AA)
cv2.putText(img, c, (10, 180), font, 1, (0, 0, 255), 2, cv2.LINE_AA)
cv2.imshow("Face", img)
conn.close()
except Exception as e:
print(e)

IndexError: list index out of range


Here is the image of the error










share|improve this question
























  • You can use try and except
    – omri_saadon
    Nov 22 at 7:44






  • 1




    Clearly, a is an empty list (or array, or tuple - we cannot tell because you never showed us your code). Please read about how to ask and edit your question.
    – DYZ
    Nov 22 at 7:45












  • the code is updated please have a look
    – Akash Dixit
    Nov 22 at 7:52










  • where did you declare "a"?
    – yapws87
    Nov 22 at 12:01












  • You should add if len(responseObject)>0:. Though, in all honesty, you should consider skipping the call to the Face API if OpenCV didn't detect a face.
    – cthrash
    Nov 22 at 17:50













up vote
-2
down vote

favorite









up vote
-2
down vote

favorite











I am using Microsoft cognitive services for face and emotion Recognition using API.
Now when i run my code camera started capturing and sending image for processing and when face found in the image it gives output as an array and if no face is found in the image, the code gives the error and it will stop code execution how to handle this error in code.i want when no face found in image it bypass the image and go for another image



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.rectangle(img,(x,y),(x+w,y+h),(0,255,0),3)
cv2.waitKey(10)

success, img_data = cv2.imencode('.jpg', img)
img_data = img_data.tobytes()


result = a[0]['faceId']
r = requests.post(api_url,
params=params,
headers=header,
data=img_data)
try:
conn =httplib.HTTPSConnection('centralindia.api.cognitive.microsoft.com')
conn.request("POST", "/face/v1.0/identify?%s" % params1, str(body), header1)
response = conn.getresponse()
data = response.read()
responseObject = json.loads(data)
print(data)
print(responseObject)
x = responseObject[0]['candidates'][0]['personId']
#x is the personId
print (x)
print [str(x)]
if x=="3a2861ff-5b0c-4056-9c6c-f917e0523342":
name="AKASH DIXIT"
print("AKASH DIXIT")
cv2.putText(img, name, (10, 120), font, 1, (0, 0, 255), 2, cv2.LINE_AA)
cv2.putText(img, c, (10, 180), font, 1, (0, 0, 255), 2, cv2.LINE_AA)
cv2.imshow("Face", img)
conn.close()
except Exception as e:
print(e)

IndexError: list index out of range


Here is the image of the error










share|improve this question















I am using Microsoft cognitive services for face and emotion Recognition using API.
Now when i run my code camera started capturing and sending image for processing and when face found in the image it gives output as an array and if no face is found in the image, the code gives the error and it will stop code execution how to handle this error in code.i want when no face found in image it bypass the image and go for another image



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.rectangle(img,(x,y),(x+w,y+h),(0,255,0),3)
cv2.waitKey(10)

success, img_data = cv2.imencode('.jpg', img)
img_data = img_data.tobytes()


result = a[0]['faceId']
r = requests.post(api_url,
params=params,
headers=header,
data=img_data)
try:
conn =httplib.HTTPSConnection('centralindia.api.cognitive.microsoft.com')
conn.request("POST", "/face/v1.0/identify?%s" % params1, str(body), header1)
response = conn.getresponse()
data = response.read()
responseObject = json.loads(data)
print(data)
print(responseObject)
x = responseObject[0]['candidates'][0]['personId']
#x is the personId
print (x)
print [str(x)]
if x=="3a2861ff-5b0c-4056-9c6c-f917e0523342":
name="AKASH DIXIT"
print("AKASH DIXIT")
cv2.putText(img, name, (10, 120), font, 1, (0, 0, 255), 2, cv2.LINE_AA)
cv2.putText(img, c, (10, 180), font, 1, (0, 0, 255), 2, cv2.LINE_AA)
cv2.imshow("Face", img)
conn.close()
except Exception as e:
print(e)

IndexError: list index out of range


Here is the image of the error







python microsoft-cognitive






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 22 at 16:19









Miki

29.5k852134




29.5k852134










asked Nov 22 at 7:42









Akash Dixit

14




14












  • You can use try and except
    – omri_saadon
    Nov 22 at 7:44






  • 1




    Clearly, a is an empty list (or array, or tuple - we cannot tell because you never showed us your code). Please read about how to ask and edit your question.
    – DYZ
    Nov 22 at 7:45












  • the code is updated please have a look
    – Akash Dixit
    Nov 22 at 7:52










  • where did you declare "a"?
    – yapws87
    Nov 22 at 12:01












  • You should add if len(responseObject)>0:. Though, in all honesty, you should consider skipping the call to the Face API if OpenCV didn't detect a face.
    – cthrash
    Nov 22 at 17:50


















  • You can use try and except
    – omri_saadon
    Nov 22 at 7:44






  • 1




    Clearly, a is an empty list (or array, or tuple - we cannot tell because you never showed us your code). Please read about how to ask and edit your question.
    – DYZ
    Nov 22 at 7:45












  • the code is updated please have a look
    – Akash Dixit
    Nov 22 at 7:52










  • where did you declare "a"?
    – yapws87
    Nov 22 at 12:01












  • You should add if len(responseObject)>0:. Though, in all honesty, you should consider skipping the call to the Face API if OpenCV didn't detect a face.
    – cthrash
    Nov 22 at 17:50
















You can use try and except
– omri_saadon
Nov 22 at 7:44




You can use try and except
– omri_saadon
Nov 22 at 7:44




1




1




Clearly, a is an empty list (or array, or tuple - we cannot tell because you never showed us your code). Please read about how to ask and edit your question.
– DYZ
Nov 22 at 7:45






Clearly, a is an empty list (or array, or tuple - we cannot tell because you never showed us your code). Please read about how to ask and edit your question.
– DYZ
Nov 22 at 7:45














the code is updated please have a look
– Akash Dixit
Nov 22 at 7:52




the code is updated please have a look
– Akash Dixit
Nov 22 at 7:52












where did you declare "a"?
– yapws87
Nov 22 at 12:01






where did you declare "a"?
– yapws87
Nov 22 at 12:01














You should add if len(responseObject)>0:. Though, in all honesty, you should consider skipping the call to the Face API if OpenCV didn't detect a face.
– cthrash
Nov 22 at 17:50




You should add if len(responseObject)>0:. Though, in all honesty, you should consider skipping the call to the Face API if OpenCV didn't detect a face.
– cthrash
Nov 22 at 17:50

















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