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#!/usr/bin/python #encoding:utf-8
import torch
import pickle
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
import cv2
import os
import face_alignment
from skimage import io, transform
fa = face_alignment.FaceAlignment(face_alignment.LandmarksType._2D,device='cuda:0', flip_input=False)
Nums = 0
FilePath = '../TestData/RealVgg/Imgs'
SavePath = '../TestData/RealVgg/Imgs/Landmarks'
if not os.path.exists(SavePath):
os.mkdir(SavePath)
ImgNames = os.listdir(FilePath)
ImgNames.sort()
for i,name in enumerate(ImgNames):
print((i,name))
imgs = io.imread(os.path.join(FilePath,name))
imgO = imgs
try:
PredsAll = fa.get_landmarks(imgO)
except:
print('#########No face')
continue
if PredsAll is None:
print('#########No face2')
continue
if len(PredsAll)!=1:
print('#########too many face')
continue
preds = PredsAll[-1]
AddLength = np.sqrt(np.sum(np.power(preds[27][0:2]-preds[33][0:2],2)))
SaveName = name+'.txt'
np.savetxt(os.path.join(SavePath,SaveName),preds[:,0:2],fmt='%.3f')
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