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Cleaned up example file.

This commit is contained in:
Varun Chatterji 2017-09-19 23:08:54 +08:00
parent 5f26972551
commit 7e94daad4d
1 changed files with 7 additions and 12 deletions
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19
python_examples/face_alignment.py
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@ -27,31 +27,26 @@
# Or downloaded from http://opencv.org/releases.html
import sys
import os
import dlib
import glob
import cv2
import numpy as np
if len(sys.argv) != 4:
if len(sys.argv) != 3:
print(
"Call this program like this:\n"
" ./face_alignment.py shape_predictor_5_face_landmarks.dat dlib_face_recognition_resnet_model_v1.dat ../examples/faces/bald_guys.jpg\n"
"You can download a trained facial shape predictor and recognition model from:\n"
" http://dlib.net/files/shape_predictor_5_face_landmarks.dat.bz2\n"
" http://dlib.net/files/dlib_face_recognition_resnet_model_v1.dat.bz2")
" ./face_alignment.py shape_predictor_5_face_landmarks.dat ../examples/faces/bald_guys.jpg\n"
"You can download a trained facial shape predictor from:\n"
" http://dlib.net/files/shape_predictor_5_face_landmarks.dat.bz2\n")
exit()
predictor_path = sys.argv[1]
face_rec_model_path = sys.argv[2]
face_file_path = sys.argv[3]
face_file_path = sys.argv[2]
# Load all the models we need: a detector to find the faces, a shape predictor
# to find face landmarks so we can precisely localize the face, and finally the
# face recognition model.
# to find face landmarks so we can precisely localize the face
detector = dlib.get_frontal_face_detector()
sp = dlib.shape_predictor(predictor_path)
facerec = dlib.face_recognition_model_v1(face_rec_model_path)
# Load the image using OpenCV
bgr_img = cv2.imread(face_file_path)