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generate.py
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generate.py
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import cv2
import glob
import numpy
from helper import *
from constant import *
# ========================================
# Load data from Original directory
print("Loading data...")
original_image_list = []
for file_name in glob.glob(original_dir + '/*.jpg'):
image = cv2.imread(file_name)
original_image_list.append(image)
print("Done")
# ========================================
# ========================================
# Create directories
try:
os.mkdir(generated_image_dir)
"generated_image_dir created"
except FileExistsError:
"generated_image_dir already exists"
for image_dir in preprocess_image_dir:
try:
os.mkdir(generated_image_dir + '/' + image_dir)
"image_dir created"
except FileExistsError:
"image_dir already exists"
# ========================================
# ========================================
# First processing method: Reduce glare (RG)
print("\nExecuting first method: Reduce glare (RG)...")
for image, image_name in zip(original_image_list, original_image_name_list):
_image = reduce_glare(image)
local_name = first_method_dir + '/' + image_name
cv2.imwrite(local_name, _image)
print("Executed")
# ========================================
# ========================================
# Third processing method: Reduce glare + Enhance contrast (RG + EC)
print("\nExecuting third method: Reduce glare + Enhance contrast (RG + EC)...")
for image, image_name in zip(original_image_list, original_image_name_list):
_image = mix_filter(image)
local_name = third_method_dir + '/' + image_name
cv2.imwrite(local_name, _image)
print("Executed")
# ========================================
print("\nPre-processing image is done. Run show_case.py to get detail.")