Reputation: 393
I am trying to set up my detector for a face recognition project or a program, but I keep getting this error:
TypeError: an integer is required (got type tuple)
Also I tried with changing:
cv2.putText(img, str(id), (x, y + h), font, 255)
to
cv2.putText(img, name, (x, y + h), font, 2, (0, 255, 0), 2)
Here's my code:
import cv2
import numpy as np
faceDetect=cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
cam=cv2.VideoCapture(0)
rec = cv2.face.LBPHFaceRecognizer_create()
rec.read("trainer/training_data.yml")
id=0
font=(cv2.FONT_HERSHEY_SIMPLEX,1,1,0,1)
while(True):
ret,img=cam.read()
gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
faces=faceDetect.detectMultiScale(gray,1.3,5)
for(x,y,w,h) in faces:
cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
id,conf=rec.predict(gray[y:y+h,x:x+w])
cv2.putText(img,str(id),(x,y+h),font,255)
cv2.imshow("FACEDETECTIONPT1",img)
if(cv2.waitKey(1)==ord('q')):
break
cam.release()
cv2.destroyAllWindows
Upvotes: 15
Views: 39025
Reputation: 479
In my case, the PIL image had a mode of 'P' stands for palettised. I converted it into RGB & now the error is gone.
Upvotes: 0
Reputation: 31
I solved it by entering Thickness in int instead of float
For eg, I changed this
cv2.rectangle(frame, (int(bbox[0]), int(bbox[1])), (int(bbox[2]), int(bbox[3])), color, 0.6 )
to
cv2.rectangle(frame, (int(bbox[0]), int(bbox[1])), (int(bbox[2]), int(bbox[3])), color, 2 )
Upvotes: 1
Reputation: 367
I had the same issue but I resolved it. The message can arise from different types of errors but the content of the message is not what it says actually.
In my case, I read the image using PIL and tried to apply openCV operations on it which lead to this problem. You must have to use cv2.imread(image_path)
to draw rectangle using cv2.rectangle()
. Another reason to this error can be when your point coordinates are in float or double instead of integers.
Upvotes: 0
Reputation: 485
cv2.putText(img, name, (x, y + h), font, 2, color, 2)
and the color should be mentioned in RGB format
for example : (255,255,255)
i think this should help you
Upvotes: 0
Reputation: 1352
As others have discussed, this error is misleading. I received this error when I tried applying open cv functions on an image that was opened with PIL
For example:
from PIL import Image
import cv2
# error if we use PIL to read image and apply cv2 functions
image = Image.open(path)
cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)
# resolve error by reading image with cv2
image = cv2.imread(path)
cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)
Upvotes: 1
Reputation: 19065
Another possible reason for this misleading error message is if the img
is a view into np.ndarray
, not contiguous memory data. So e.g. if your code worked with img
, it will fail if you do something like img=np.flipud(img)
.
The solution is to make deep copy, like img=np.flipud(img).copy()
.
Upvotes: 9
Reputation: 371
In my experience the error statement was misleading. In my case, the coordinates (x, y) were in float
instead of int
and fixing that fixed this issue.
Upvotes: 27
Reputation: 393
removed the parameters from the font and edited my putText to cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
and this seems to have worked for me..
Upvotes: 1
Reputation: 8076
Looking at the putText
documentation, I see that your font
is a tuple, and you're trying to fill in multiple parameters for putText
: fontFace
, fontScale
, color
, thickness
, and lineType
.
Perhaps you can unpack that parameter to get what you need (with the * operator):
cv2.putText(img, name, (x, y + h), *font, 2, (0, 255, 0), 2)
Upvotes: 0