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
python microsoft-cognitive
|
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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
python microsoft-cognitive
You can usetry
andexcept
– 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 addif 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
|
show 1 more comment
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
python microsoft-cognitive
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
python microsoft-cognitive
edited Nov 22 at 16:19
Miki
29.5k852134
29.5k852134
asked Nov 22 at 7:42
Akash Dixit
14
14
You can usetry
andexcept
– 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 addif 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
|
show 1 more comment
You can usetry
andexcept
– 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 addif 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
|
show 1 more comment
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You can use
try
andexcept
– 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