# Getting eyes images with dlib [closed]

Hello, once again my question resumes to the following: I got the landmarks, and after that I want to get and save only the images of the eyes (separately) Im using the following scrip:

import sys
import os
import dlib
import glob
from skimage import io

if len(sys.argv) != 3:
print(
"Give the path to the trained shape predictor model as the first "
"argument and then the directory containing the facial images.\n"
"For example, if you are in the python_examples folder then "
"execute this program by running:\n"
"    ./face_landmark_detection.py shape_predictor_68_face_landmarks.dat ../examples/faces\n"
"    http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2")
exit()

predictor_path = sys.argv[1]
faces_folder_path = sys.argv[2]

detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor(predictor_path)
win = dlib.image_window()

for f in glob.glob(os.path.join(faces_folder_path, "*.jpg")):
print("Processing file: {}".format(f))

win.clear_overlay()
win.set_image(img)

# Ask the detector to find the bounding boxes of each face. The 1 in the
# second argument indicates that we should upsample the image 1 time. This
# will make everything bigger and allow us to detect more faces.
dets = detector(img, 1)
print("Number of faces detected: {}".format(len(dets)))
for k, d in enumerate(dets):
print("Detection {}: Left: {} Top: {} Right: {} Bottom: {}".format(
k, d.left(), d.top(), d.right(), d.bottom()))
# Get the landmarks/parts for the face in box d.
shape = predictor(img, d)
print("Part 0: {}, Part 1: {} ...".format(shape.part(0),
shape.part(1)))
# Draw the face landmarks on the screen.

dlib.hit_enter_to_continue()


I tried all sort of things but I cant get the eyes images, does any1 know how to do so?

edit retag reopen merge delete