def execute(outputsize):
faces_dir_path = "data/train_set/48_48_faces_web_augmented"
bkgs_dir_path = "data/train_set/48_48_nonfaces_aflw"
target_path = "data/train_set/13"
faces_dir=join(target_path,"faces")
nonfaces_dir = join(target_path,"nonfaces")
os.makedirs(nonfaces_dir)
os.makedirs(faces_dir)
img_faces = [ f for f in listdir(faces_dir_path) if isfile(join(faces_dir_path,f)) and f.endswith("png") ]
img_bkgs = [ f for f in listdir(bkgs_dir_path) if isfile(join(bkgs_dir_path,f)) and f.endswith("jpg") ]
for i, img_name in enumerate(img_faces):
img_path = join(faces_dir_path,img_name)
img = imread(img_path)
resized_img = resize(img,outputsize)
ubyte_img = img_as_ubyte(resized_img)
imsave(join(faces_dir,img_name), ubyte_img)
print "processed "+ img_path
for i, img_name in enumerate(img_bkgs):
img_path = join(bkgs_dir_path,img_name)
img = imread(img_path)
gray_img = rgb2gray(img)
resized_img = resize(gray_img,outputsize)
ubyte_img = img_as_ubyte(resized_img)
imsave(join(nonfaces_dir,img_name), ubyte_img)
print "processed "+ img_path
def convert_to_gray():
bkgs_dir_path = "data/train_set/13/nonfaces"
target_path = "data/train_set/13/nonfaces_gray"
os.makedirs(target_path)
img_bkgs = [ f for f in listdir(bkgs_dir_path) if isfile(join(bkgs_dir_path,f)) and f.endswith("jpg") ]
for i, img_name in enumerate(img_bkgs):
img_path = join(bkgs_dir_path,img_name)
img = imread(img_path)
gray_img = rgb2gray(img)
imsave(join(target_path,img_name), gray_img)
def convert_to_gray():
bkgs_dir_path = "data/train_set/13/nonfaces"
target_path = "data/train_set/13/nonfaces_gray"
os.makedirs(target_path)
img_bkgs = [
f for f in listdir(bkgs_dir_path)
if isfile(join(bkgs_dir_path, f)) and f.endswith("jpg")
]
for i, img_name in enumerate(img_bkgs):
img_path = join(bkgs_dir_path, img_name)
img = imread(img_path)
gray_img = rgb2gray(img)
imsave(join(target_path, img_name), gray_img)
def resize_imgs_in_dir(outputsize):
img_dir_path = "data/newnonfaces/48_48_non_faces_aflw"
target_path = "data/newnonfaces/13/nonfaces"
os.makedirs(target_path)
img_faces = [ f for f in listdir(img_dir_path) if isfile(join(img_dir_path,f)) and f.endswith("jpg") ]
for i, img_name in enumerate(img_faces):
img_path = join(img_dir_path,img_name)
img = imread(img_path)
resized_img = resize(img,outputsize)
ubyte_img = img_as_ubyte(resized_img)
imsave(join(target_path,img_name), ubyte_img)
print "processed "+ img_path
def resize_imgs_in_dir(outputsize):
img_dir_path = "data/newnonfaces/48_48_non_faces_aflw"
target_path = "data/newnonfaces/13/nonfaces"
os.makedirs(target_path)
img_faces = [
f for f in listdir(img_dir_path)
if isfile(join(img_dir_path, f)) and f.endswith("jpg")
]
for i, img_name in enumerate(img_faces):
img_path = join(img_dir_path, img_name)
img = imread(img_path)
resized_img = resize(img, outputsize)
ubyte_img = img_as_ubyte(resized_img)
imsave(join(target_path, img_name), ubyte_img)
print "processed " + img_path
def execute(outputsize):
faces_dir_path = "data/train_set/48_48_faces_web_augmented"
bkgs_dir_path = "data/train_set/48_48_nonfaces_aflw"
target_path = "data/train_set/13"
faces_dir = join(target_path, "faces")
nonfaces_dir = join(target_path, "nonfaces")
os.makedirs(nonfaces_dir)
os.makedirs(faces_dir)
img_faces = [
f for f in listdir(faces_dir_path)
if isfile(join(faces_dir_path, f)) and f.endswith("png")
]
img_bkgs = [
f for f in listdir(bkgs_dir_path)
if isfile(join(bkgs_dir_path, f)) and f.endswith("jpg")
]
for i, img_name in enumerate(img_faces):
img_path = join(faces_dir_path, img_name)
img = imread(img_path)
resized_img = resize(img, outputsize)
ubyte_img = img_as_ubyte(resized_img)
imsave(join(faces_dir, img_name), ubyte_img)
print "processed " + img_path
for i, img_name in enumerate(img_bkgs):
img_path = join(bkgs_dir_path, img_name)
img = imread(img_path)
gray_img = rgb2gray(img)
resized_img = resize(gray_img, outputsize)
ubyte_img = img_as_ubyte(resized_img)
imsave(join(nonfaces_dir, img_name), ubyte_img)
print "processed " + img_path
