Read all images from folder and detect faces, crop and save to new folder
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I'm trying to build a model in which it will read all the images from a given folder and detects the face, crop and save cropped face to a new folder!
Can anyone help me with code as I am receiving an error:
cv2.imshow(str(img) , img)
TypeError: mat is not a numpy array, neither a scalar
code:
import glob
import cv2
import sys
while 1 :
filename = input("Enter the file name in which images are present =")
for img in glob.glob(filename+'/*.*'):
#try :
var_img = cv2.imread(img)
cv2.imshow(str(img) , var_img)
def detect_face(img):
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
face_cascade = cv2.CascadeClassifier('opencv-files/lbpcascade_frontalface.xml')
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=5);
if (len(faces) == 0):
return None, None
(x, y, w, h) = faces[0]
return gray[y:y+w, x:x+h], faces[0]
cv2.imshow(str(img) , img)
cv2.waitKey(0)
cv2.destroyAllWindows()
python opencv image-processing mat
edited Jan 4 at 4:36
Dale Burrell
3,47952655
asked Jan 3 at 10:25
Eswar kumar EshuEswar kumar Eshu
21
add a comment |
I'm trying to build a model in which it will read all the images from a given folder and detects the face, crop and save cropped face to a new folder!
Can anyone help me with code as I am receiving an error:
cv2.imshow(str(img) , img)
TypeError: mat is not a numpy array, neither a scalar
code:
import glob
import cv2
import sys
while 1 :
filename = input("Enter the file name in which images are present =")
for img in glob.glob(filename+'/*.*'):
#try :
var_img = cv2.imread(img)
cv2.imshow(str(img) , var_img)
def detect_face(img):
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
face_cascade = cv2.CascadeClassifier('opencv-files/lbpcascade_frontalface.xml')
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=5);
if (len(faces) == 0):
return None, None
(x, y, w, h) = faces[0]
return gray[y:y+w, x:x+h], faces[0]
cv2.imshow(str(img) , img)
cv2.waitKey(0)
cv2.destroyAllWindows()
python opencv image-processing mat
edited Jan 4 at 4:36
Dale Burrell
3,47952655
asked Jan 3 at 10:25
Eswar kumar EshuEswar kumar Eshu
21
add a comment |
I'm trying to build a model in which it will read all the images from a given folder and detects the face, crop and save cropped face to a new folder!
Can anyone help me with code as I am receiving an error:
cv2.imshow(str(img) , img)
TypeError: mat is not a numpy array, neither a scalar
code:
import glob
import cv2
import sys
while 1 :
filename = input("Enter the file name in which images are present =")
for img in glob.glob(filename+'/*.*'):
#try :
var_img = cv2.imread(img)
cv2.imshow(str(img) , var_img)
def detect_face(img):
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
face_cascade = cv2.CascadeClassifier('opencv-files/lbpcascade_frontalface.xml')
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=5);
if (len(faces) == 0):
return None, None
(x, y, w, h) = faces[0]
return gray[y:y+w, x:x+h], faces[0]
cv2.imshow(str(img) , img)
cv2.waitKey(0)
cv2.destroyAllWindows()
python opencv image-processing mat
edited Jan 4 at 4:36
Dale Burrell
3,47952655
asked Jan 3 at 10:25
Eswar kumar EshuEswar kumar Eshu
21
I'm trying to build a model in which it will read all the images from a given folder and detects the face, crop and save cropped face to a new folder!
Can anyone help me with code as I am receiving an error:
cv2.imshow(str(img) , img)
TypeError: mat is not a numpy array, neither a scalar
code:
import glob
import cv2
import sys
while 1 :
filename = input("Enter the file name in which images are present =")
for img in glob.glob(filename+'/*.*'):
#try :
var_img = cv2.imread(img)
cv2.imshow(str(img) , var_img)
def detect_face(img):
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
face_cascade = cv2.CascadeClassifier('opencv-files/lbpcascade_frontalface.xml')
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=5);
if (len(faces) == 0):
return None, None
(x, y, w, h) = faces[0]
return gray[y:y+w, x:x+h], faces[0]
cv2.imshow(str(img) , img)
cv2.waitKey(0)
cv2.destroyAllWindows()
python opencv image-processing mat
python opencv image-processing mat
edited Jan 4 at 4:36
Dale Burrell
3,47952655
asked Jan 3 at 10:25
Eswar kumar EshuEswar kumar Eshu
21
edited Jan 4 at 4:36
Dale Burrell
3,47952655
asked Jan 3 at 10:25
Eswar kumar EshuEswar kumar Eshu
21
edited Jan 4 at 4:36
Dale Burrell
3,47952655
edited Jan 4 at 4:36
Dale Burrell
3,47952655
edited Jan 4 at 4:36
Dale Burrell
3,47952655
3,47952655
asked Jan 3 at 10:25
Eswar kumar EshuEswar kumar Eshu
21
asked Jan 3 at 10:25
Eswar kumar EshuEswar kumar Eshu
21
asked Jan 3 at 10:25
Eswar kumar EshuEswar kumar Eshu
21
21
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
It looks like you're trying to imshow the filename instead of the actual array. glob.glob returns a list of filenames so your img that you're trying to imshow is just a string. You need to read in the image first before you imshow it. You did that in this line: var_img = cv2.imread(img) so that means your array is var_img. But later you tried to imshow again using just img. You can only imshow var_img which is an array and not img which is a string.
answered Jan 3 at 22:11
makaylamakayla
11
add a comment |
try this
import glob
import cv2
import sys
import os
def detect_face(img):
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
face_cascade = cv2.CascadeClassifier('opencvfiles/lbpcascade_frontalface.xmlv')
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=5)
return faces
filename = input("Enter the file name in which images are present =")
for img in glob.glob(filename+'/*.*'):
var_img = cv2.imread(img)
face = detect_face(var_img)
print(face)
if (len(face) == 0):
continue
for(ex, ey, ew, eh) in face:
crop_image = var_img[ey:ey+eh, ex:ex+ew]
cv2.imshow("cropped", crop_image)
cv2.waitKey(0)
cv2.imwrite(os.path.join("outputs/",str(img)),crop_image)
answered Jan 4 at 8:25
gkslsahingkslsahin
627
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
It looks like you're trying to imshow the filename instead of the actual array. glob.glob returns a list of filenames so your img that you're trying to imshow is just a string. You need to read in the image first before you imshow it. You did that in this line: var_img = cv2.imread(img) so that means your array is var_img. But later you tried to imshow again using just img. You can only imshow var_img which is an array and not img which is a string.
answered Jan 3 at 22:11
makaylamakayla
11
add a comment |
It looks like you're trying to imshow the filename instead of the actual array. glob.glob returns a list of filenames so your img that you're trying to imshow is just a string. You need to read in the image first before you imshow it. You did that in this line: var_img = cv2.imread(img) so that means your array is var_img. But later you tried to imshow again using just img. You can only imshow var_img which is an array and not img which is a string.
answered Jan 3 at 22:11
makaylamakayla
11
add a comment |
It looks like you're trying to imshow the filename instead of the actual array. glob.glob returns a list of filenames so your img that you're trying to imshow is just a string. You need to read in the image first before you imshow it. You did that in this line: var_img = cv2.imread(img) so that means your array is var_img. But later you tried to imshow again using just img. You can only imshow var_img which is an array and not img which is a string.
answered Jan 3 at 22:11
makaylamakayla
11
It looks like you're trying to imshow the filename instead of the actual array. glob.glob returns a list of filenames so your img that you're trying to imshow is just a string. You need to read in the image first before you imshow it. You did that in this line: var_img = cv2.imread(img) so that means your array is var_img. But later you tried to imshow again using just img. You can only imshow var_img which is an array and not img which is a string.
answered Jan 3 at 22:11
makaylamakayla
11
answered Jan 3 at 22:11
makaylamakayla
11
answered Jan 3 at 22:11
makaylamakayla
11
answered Jan 3 at 22:11
makaylamakayla
11
11
add a comment |
add a comment |
try this
import glob
import cv2
import sys
import os
def detect_face(img):
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
face_cascade = cv2.CascadeClassifier('opencvfiles/lbpcascade_frontalface.xmlv')
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=5)
return faces
filename = input("Enter the file name in which images are present =")
for img in glob.glob(filename+'/*.*'):
var_img = cv2.imread(img)
face = detect_face(var_img)
print(face)
if (len(face) == 0):
continue
for(ex, ey, ew, eh) in face:
crop_image = var_img[ey:ey+eh, ex:ex+ew]
cv2.imshow("cropped", crop_image)
cv2.waitKey(0)
cv2.imwrite(os.path.join("outputs/",str(img)),crop_image)
answered Jan 4 at 8:25
gkslsahingkslsahin
627
add a comment |
try this
import glob
import cv2
import sys
import os
def detect_face(img):
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
face_cascade = cv2.CascadeClassifier('opencvfiles/lbpcascade_frontalface.xmlv')
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=5)
return faces
filename = input("Enter the file name in which images are present =")
for img in glob.glob(filename+'/*.*'):
var_img = cv2.imread(img)
face = detect_face(var_img)
print(face)
if (len(face) == 0):
continue
for(ex, ey, ew, eh) in face:
crop_image = var_img[ey:ey+eh, ex:ex+ew]
cv2.imshow("cropped", crop_image)
cv2.waitKey(0)
cv2.imwrite(os.path.join("outputs/",str(img)),crop_image)
answered Jan 4 at 8:25
gkslsahingkslsahin
627
add a comment |
try this
import glob
import cv2
import sys
import os
def detect_face(img):
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
face_cascade = cv2.CascadeClassifier('opencvfiles/lbpcascade_frontalface.xmlv')
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=5)
return faces
filename = input("Enter the file name in which images are present =")
for img in glob.glob(filename+'/*.*'):
var_img = cv2.imread(img)
face = detect_face(var_img)
print(face)
if (len(face) == 0):
continue
for(ex, ey, ew, eh) in face:
crop_image = var_img[ey:ey+eh, ex:ex+ew]
cv2.imshow("cropped", crop_image)
cv2.waitKey(0)
cv2.imwrite(os.path.join("outputs/",str(img)),crop_image)
answered Jan 4 at 8:25
gkslsahingkslsahin
627
try this
import glob
import cv2
import sys
import os
def detect_face(img):
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
face_cascade = cv2.CascadeClassifier('opencvfiles/lbpcascade_frontalface.xmlv')
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=5)
return faces
filename = input("Enter the file name in which images are present =")
for img in glob.glob(filename+'/*.*'):
var_img = cv2.imread(img)
face = detect_face(var_img)
print(face)
if (len(face) == 0):
continue
for(ex, ey, ew, eh) in face:
crop_image = var_img[ey:ey+eh, ex:ex+ew]
cv2.imshow("cropped", crop_image)
cv2.waitKey(0)
cv2.imwrite(os.path.join("outputs/",str(img)),crop_image)
answered Jan 4 at 8:25
gkslsahingkslsahin
627
answered Jan 4 at 8:25
gkslsahingkslsahin
627
answered Jan 4 at 8:25
gkslsahingkslsahin
627
answered Jan 4 at 8:25
gkslsahingkslsahin
627
627
add a comment |
add a comment |
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