def apply_effect_swap(models, frame, effect):
image2 = effect['image2']
if image2 is not None:
params = effect['params']
out1, out2 = swap_faces(models, frame, image2=image2, params=params)
return out1
return frame
import cv2
from face_swap import swap_faces
from image_utils import concatenate_images
imgPath = "assets/img3.jpg"
# Read images
img = cv2.imread(imgPath)
# Swap faces
img_changed_face = swap_faces(img)
# Concatenate images horizontally
result = concatenate_images((img, img_changed_face), axis='h', border=5)
# Show final result and process
cv2.imshow("result", result)
cv2.waitKey(0)
# Save Results
cv2.imwrite('results/result81_1img.png', result)
import imutils
ap=ArgumentParser()
ap.add_argument("-i","--input1",type=str,required=True)
ap.add_argument("-m","--input2",type=str,default="")
ap.add_argument("-o","--output",type=str,default="")
args=vars(ap.parse_args())
detector=dlib.get_frontal_face_detector()
predictor=dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")
image=cv2.imread(args["input1"])
cap=cv2.VideoCapture(args["input2"])
while True:
(access,frame)=cap.read()
frame=imutils.resize(frame,width=900)
if not access:
break
result=swap_faces(image,frame,detector,predictor)
cv2.imshow("frame",result)
key=cv2.waitKey(1) & 0xFF
if key==ord("q"):
break
import cv2
from face_swap import swap_faces
from image_utils import resize_and_border_image, concatenate_images
imgPath = "assets/img1.jpg"
imgPath2 = "assets/img2.jpg"
# Read images
img = cv2.imread(imgPath)
img2 = cv2.imread(imgPath2)
# Resize and border image, so both images have same dimensions
img, img2 = resize_and_border_image(img, img2)
# Swap faces
img_changed_face, img2_changed_face = swap_faces(img, img2)
# Concatenate results
result = concatenate_images(
(concatenate_images((img, img_changed_face), axis='h', border=5),
concatenate_images((img2, img2_changed_face), axis='h', border=5)),
axis='v',
border=0)
# Resize results so they fit in the screen
result = cv2.resize(result,
(int(result.shape[1] / 3), int(result.shape[0] / 3)))
# Show results
cv2.imshow("result", result)
cv2.waitKey(0)
import cv2
from argparse import ArgumentParser
import dlib
from face_swap import swap_faces
ap=ArgumentParser()
ap.add_argument("-i","--input1",type=str,required=True)
ap.add_argument("-m","--input2",type=str,required=True)
ap.add_argument("-o","--output",type=str,default="")
args=vars(ap.parse_args())
image1=cv2.imread(args["input1"])
image2=cv2.imread(args["input2"])
detector=dlib.get_frontal_face_detector()
predictor=dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")
result=swap_faces(image1,image2,detector,predictor)
if args["output"]!="":
cv2.imwrite(args["output"],result)
cv2.imshow("frame",result)
cv2.waitKey(0)
cv2.destroyAllWindows()