def align_face_and_resize_frames():
# segement picture
img_index = -1
# read in reverse becasue the sequence of pictures is generated in the descending order
for f in os.listdir("pictures/"):
im = cv2.imread("pictures/" + f, cv2.IMREAD_COLOR)
print("processing " + f)
lip_frame = fa.gen_align_lip_from_video(im)
lip_frame = cv2.resize(lip_frame, (35, 35)) #resize
cv2.imwrite('result_lip/' + str(img_index) + '.jpg', lip_frame)
def align_face_and_resize_frames():
# segement picture
img_index = -1
# read in reverse becasue the sequence of pictures is generated in the descending order
for f in [
'30.jpg', '28.jpg', '26.jpg', '24.jpg', '22.jpg', '20.jpg',
'18.jpg', '16.jpg', '14.jpg', '12.jpg', '10.jpg', '8.jpg', '6.jpg',
'4.jpg', '2.jpg', '2.jpg'
]:
img_index += 1
im = cv2.imread("images/" + f, cv2.IMREAD_COLOR)
print("processing " + f)
lip_frame = fa.gen_align_lip_from_video(im)
lip_frame = cv2.resize(lip_frame, (35, 35)) #resize
cv2.imwrite('result_lip/' + str(img_index) + '.jpg', lip_frame)
def align_face_and_resize_frames():
# segement picture
img_index = -1
# read in reverse becasue the sequence of pictures is generated in the descending order
for f in [
'19.jpg', '18.jpg', '17.jpg', '16.jpg', '15.jpg', '14.jpg',
'13.jpg', '12.jpg', '11.jpg', '10.jpg', '9.jpg', '8.jpg', '7.jpg',
'6.jpg', '5.jpg', '4.jpg', '3.jpg', '2.jpg', '1.jpg', '0.jpg'
]:
img_index += 1
im = cv2.imread(r'D:\Thesis_App\pictures\\' + f, cv2.IMREAD_COLOR)
print("processing " + f)
lip_frame = fa.gen_align_lip_from_video(im)
lip_frame = cv2.resize(lip_frame, (50, 48)) #resize
cv2.imwrite(r'D:\Thesis_App\result_lip\\' + str(img_index) + '.jpg',
lip_frame)
image) in enumerate(frame_buffer): # Iterate on frame buffer
face_rects = face_detector(image, 1) # Detect face
if len(face_rects) < 1: # No face detected
print("No face detected: ", vid_path)
logfile.write(vid_path + " : No face detected \r\n")
break
if len(face_rects) > 1: # Too many face detected
print("Too many face: ", vid_path)
logfile.write(vid_path + " : Too many face detected \r\n")
break
rect = face_rects[0] # Proper number of face
# (x, y, w, h) = rect_to_bb(rect)
# faceAligned = fa.align(frame_buffer_color[i], image, rect)
try:
cropped = fas.gen_align_lip_from_video(
frame_buffer_color[i])
if cropped is None:
break
cropped = cv2.resize(
cropped, (RESIZE[0], RESIZE[1]),
interpolation=cv2.INTER_CUBIC) # Resize
# cropped_buffer.append(cropped)
# for (i, image) in enumerate(cropped_buffer):
cv2.imwrite(directory + "%d" % (i + 1) + ".jpg",
cropped) # Write lip image
except:
print("exception")
# cv2.imwrite("./pictures/" + "%d" % (i + 1) + ".jpg", crop)
# landmark = landmark_detector(faceAligned, rect) # Detect face landmarks
# landmark = shape_to_list(landmark)