scripts/images/classifier.py

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2023-03-08 13:41:14 +03:00
import os
import shutil
import numpy as np
from PIL import Image
from pathlib import Path
from tkinter.filedialog import askdirectory
from tkinter import Tk
def test_color_distribution(file):
img = Image.open(file)
img.thumbnail((200, 200), Image.ANTIALIAS)
w, h = img.size
return sum(
x[0]
for x in sorted(
img.convert("RGB").getcolors(w * h), key=lambda x: x[0], reverse=True
)[:10]
) / float((w * h))
def test_sharp_edge_detection(file):
img = Image.open(file).convert("L")
values = abs(np.fft.fft2(np.asarray(img.convert("L")))).flatten().tolist()
high_values = [x for x in values if x > 10000]
high_values_ratio = 100 * (float(len(high_values)) / len(values))
return high_values_ratio
def test_file(file):
image = 0
real = 0
color = test_color_distribution(file)
edges = test_sharp_edge_detection(file)
if color > 0.28:
image += (color - 0.28) * 10
else:
real += (0.28 - color) * 10
if edges > 13:
image += edges - 13
else:
real += 13 - edges
return image > real
Tk().withdraw()
# Dialog box for selecting a folder.
file_path = askdirectory(title="Select a folder")
list_of_files = os.walk(file_path)
if not os.path.exists(os.path.join(file_path, "sorted")):
os.makedirs(os.path.join(file_path, "sorted"))
if not os.path.exists(os.path.join(file_path, "sorted/image_real")):
os.makedirs(os.path.join(file_path, 'sorted/image_real'))
real = os.path.join(file_path, 'sorted/image_real')
if not os.path.exists(os.path.join(file_path, "sorted/drawn")):
os.makedirs(os.path.join(file_path, 'sorted/drawn'))
drawn = os.path.join(file_path, 'sorted/drawn')
for root, folders, files in list_of_files:
for file in files:
file_path = Path(os.path.join(root, file))
is_drawn = test_file(file_path)
if is_drawn:
shutil.move(file_path, os.path.join(drawn, str(file_path).split("/")[-1]))
else:
shutil.move(file_path, os.path.join(real, str(file_path).split("/")[-1]))