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read_augument.py
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read_augument.py
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import cv2
from PIL import Image
import os
from skimage.util import random_noise
from skimage.io import imsave, imread
import numpy as np
from matplotlib import pyplot as plt
from PIL import Image
import sys
import shutil
img = Image.open("graylight.jpg")
rootdir=r'data/'
# extensions=('.jpg','.png')
# dir_path=['data_top','data_gaussian','data_bright','data_blur']
def position_pic(path,path_top):
img2 = Image.open(path)
img2.save(path)
def adjust_gamma(image, gamma=1.0):
# build a lookup table mapping the pixel values [0, 255] to
# their adjusted gamma values
invGamma = 1.0 / gamma
table = np.array([((i / 255.0) ** invGamma) * 255
for i in np.arange(0, 256)]).astype("uint8")
# apply gamma correction using the lookup table
return cv2.LUT(image, table)
def gaussian_blur(image_RGB,path_blur,path,v_blur=2.0):
guassain_blur=cv2.GaussianBlur(image_RGB,(101,101),v_blur)
imsave(path_blur.replace('.jpg','')+'_blur.jpg', guassain_blur)
guassain_blur_img = Image.open(path_blur.replace('.jpg','')+'_blur.jpg')
guassain_blur_img.save(path.replace('.jpg','')+'_'+str(v_blur)+'_blur'+'.jpg')
def brightness(image_RGB,path_bright,path,v_bright=2.0):
adjusted = adjust_gamma(image_RGB, gamma=v_bright)
imsave(path_bright.replace('.jpg','')+'_bright.jpg',adjusted)
# global level_bright
# if v_bright == 0.5 :
# level_bright='dark'
# elif v_bright == 1 :
# level_bright ='normal'
# elif v_bright == 2 :
# level_bright = 'high'
bright_img = Image.open(path_bright.replace('.jpg','')+'_bright.jpg')
bright_img.save(path.replace('.jpg','')+'_'+str(v_bright)+'_bright'+'.jpg')
def gaussian_noise(image_RGB,path_gaussian,path):
gauss_noise = random_noise(image_RGB, mode='gaussian', seed=None, clip=True)
imsave(path_gaussian.replace('.jpg','')+'_gaussian.jpg', gauss_noise)
gauss_img = Image.open(path_gaussian.replace('.jpg','')+'_gaussian.jpg')
gauss_img.save(path.replace('.jpg','')+'_gaussian.jpg')
def rm_folder(dir_path):
for folder in dir_path:
try:
shutil.rmtree(folder)
except OSError as e:
print ("Error: %s - %s." % (e.filename, e.strerror))
def main_data(rootdir):
img = Image.open("graylight.jpg")
extensions=('.jpg','.png')
dir_path=['data_top','data_gaussian','data_bright','data_blur']
# v_blur=0.25
# v_bright=0.5
v_blur=1.0
v_bright=2.0
counter=1
for subdir,dirs,files in os.walk(rootdir):
for file in files:
ext=os.path.splitext(file)[-1].lower()
if ext in extensions:
path = os.path.join(subdir,file)
folder_path=os.path.dirname(path).replace('data','data_top')+'_top_floor'
path_top=os.path.join(folder_path,file)
folder_gaussian=os.path.dirname(path).replace('data','data_gaussian')+'_gaussian'
path_gaussian=os.path.join(folder_gaussian,file)
folder_blur=os.path.dirname(path).replace('data','data_blur')+'_blur'
path_blur=os.path.join(folder_blur,file)
folder_bright=os.path.dirname(path).replace('data','data_bright')+'_bright'
path_bright=os.path.join(folder_bright,file)
try:
if not os.path.exists(folder_path):
os.makedirs(folder_path)
except OSError:
print('Error: Creating dir of data')
try:
if not os.path.exists(folder_gaussian):
os.makedirs(folder_gaussian)
except OSError:
print('Error: Creating dir of data')
try:
if not os.path.exists(folder_blur):
os.makedirs(folder_blur)
except OSError:
print('Error: Creating dir of data')
try:
if not os.path.exists(folder_bright):
os.makedirs(folder_bright)
except OSError:
print('Error: Creating dir of data')
img_first=cv2.imread(path)
image_RGB=cv2.cvtColor(img_first,cv2.COLOR_BGR2RGB)
position_pic(path,path_top)
# gaussian_noise(image_RGB,path_gaussian,path)
gaussian_blur(image_RGB,path_blur,path,v_blur)#1.0
brightness(image_RGB,path_bright,path,v_bright) #0.5
v_bright =2
brightness(image_RGB,path_bright,path,v_bright)#2
v_bright=0.5 #0.5
# if counter == 1:
# print('counter',counter,'path',path)
# # position_pic(path,path_top)
# counter +=1
# elif counter==2:
# print('counter',counter,'path',path)
# gaussian_blur(image_RGB,path_blur,path,v_blur)#1.0
# v_blur *=float(2)
# gaussian_blur(image_RGB,path_blur,path,v_blur)#2.0
# v_blur = 1.0
# # if v_blur > 2:
# # v_blur = 0.25
# os.remove(path)
# counter +=1
# elif counter ==3:
# print('counter',counter,'path',path)
# gaussian_noise(image_RGB,path_gaussian,path)
# os.remove(path)
# counter +=1
# elif counter ==4:
# print('counter',counter,'path',path)
# brightness(image_RGB,path_bright,path,v_bright) #0.5
# v_bright *=float(2)
# brightness(image_RGB,path_bright,path,v_bright)# 1
# v_bright *=float(2)
# brightness(image_RGB,path_bright,path,v_bright)#2
# v_bright=0.5 #0.5
# os.remove(path)
# counter =1
else:
path = os.path.join(subdir,file)
os.remove(path)
print(path)
rm_folder(dir_path)