不多说了，直接代码吧：
生成AFLW_ann.txt的代码，其中包含图像名称 和 图像中人脸的位置（x,y,w,h）;
** AFLW中含有aflw.aqlite文件。
importsqlite3
list_annotation = list()
# Format for saving: path x y w h
ann_format ="{}/{} {} {} {} {}"
conn = sqlite3.connect('aflw.sqlite')
fidQuery ='SELECT face_id FROM Faces'
faceIDs = conn.execute(fidQuery)
foridxinfaceIDs:
fidQuery ='SELECT file_id FROM Faces WHERE face_id = {}'.format(idx[0])
imgID = conn.execute(fidQuery)
imgID = [idforidinimgID]
imgDataQuery ="SELECT db_id,filepath,width,height FROM FaceImages WHERE file_id = '{}'".format(imgID[0][0])
fileID = conn.execute(imgDataQuery)
fileID = [idforidinfileID]
db_id = fileID[0][0]
filepath = fileID[0][1]
faceRectQuery ='SELECT x,y,w,h FROM FaceRect WHERE face_id = {}'.format(idx[0])
faceRect = conn.execute(faceRectQuery)
faceRect = [idforidinfaceRect]
iflen(faceRect)==0:
continue
x,y,w,h = faceRect[0]
list_annotation.append(ann_format.format(db_id,filepath,x,y,w,h))
with open("AFLW_ann.txt",'w') as f:
f.writelines("%s\n"% lineforlineinlist_annotation)
AFLW图片都整理到flickr文件下（含0,1,2三个文件），生成人脸的程序（并且对人脸进行了左右镜像）：
importos
fromPILimportImage
fromPILimportImageFile
# ImageFile.LOAD_TRUNCATED_IMAGES = True
importcv2
importnumpy as np
with open('AFLW_ann.txt','r') as f:
lines = f.readlines()
save_dir1 ='data_prepare/net_positive'
save_dir2 ='data_prepare/net_positive_flip'
ifos.path.exists(save_dir1)==False:
os.makedirs(save_dir1)
ifos.path.exists(save_dir2)==False:
os.makedirs(save_dir2)
foridx, lineinenumerate(lines):
s1 = line.strip().split(' ')
image_path = s1[0]
x = int(s1[1])
y = int(s1[2])
w = int(s1[3])
h = int(s1[4])
print(image_path)
# image = Image.open(image_path)
image = cv2.imread(image_path)
ifimageisNone:
continue
ifx<=0andy<=0andw<=0andh<=0:
continue
box = (x, y, x+w, y+h)
# patch = image.crop(box)
patch = image[box[1]:box[3], box[0]:box[2], :]
ifpatchisNone:
continue
patch1 = patch#.resize((51, 51))
# patch2 = patch1.transpose(Image.FLIP_LEFT_RIGHT)
h = patch.shape[0]
w = patch.shape[1]
iLR = patch.copy()
foriinrange(h):
forjinrange(w):
iLR[i,w-1-j] = patch[i,j]
patch2 = iLR
s2 = image_path.split('/')
image_name = s2[-1]
save_path1 = save_dir1+'/'+str(idx)+image_name +'.jpg'
save_path2 = save_dir2+'/'+'l'+str(idx)+image_name +'.jpg'
#patch1.save(save_path1, 'jpeg')
#patch2.save(save_path2, 'jpeg')
cv2.imwrite(save_path1, np.array(patch1))
cv2.imwrite(save_path2, np.array(patch2))
print(idx)