Files
PYAS/Engine/Model/convert.py
T
2025-12-25 18:53:53 +08:00

69 lines
2.8 KiB
Python

from PIL import Image
import numpy, pefile, os
####################################################################################################
def preprocess_image(file_data, size, channels=1):
width, height = size
wah = int(numpy.ceil(numpy.sqrt(len(file_data) / channels)))
arr = numpy.frombuffer(file_data, dtype=numpy.uint8)
img = numpy.zeros(wah*wah*channels, dtype=numpy.uint8)
img[:len(file_data)] = arr
image = Image.fromarray(img.reshape((wah, wah)), 'L')
return image.resize((width, height), Image.Resampling.NEAREST)
####################################################################################################
def is_text_file(content, sample_size=1024):
raw = content[:sample_size]
if not raw:
return False
text_char = set(range(32, 127)) | {9, 10, 13}
nontext = sum(b not in text_char for b in raw)
return nontext / len(raw) < 0.15
def get_type(file_path):
suffix = {".com", ".dll", ".drv", ".exe", ".ocx", ".scr", ".sys", ".mui", ".cpl"}
match_data = {}
if not os.path.splitext(file_path)[-1].lower() in suffix:
return match_data
try:
with pefile.PE(file_path, fast_load=True) as pe:
for section in pe.sections:
name = section.Name.rstrip(b'\x00').decode('latin1').lower()
data = section.get_data()
if data:
match_data[name] = section.get_data()
except pefile.PEFormatError:
with open(file_path, 'rb') as f:
file_content = f.read()
if is_text_file(file_content):
match_data[os.path.splitext(file_path)[-1].lower()] = file_content
return match_data
####################################################################################################
def file_to_images(input_dir, output_dir):
for root, dirs, files in os.walk(input_dir):
for file in files:
try:
file_path = os.path.join(root, file)
for name, data in get_type(file_path).items():
print(name, file_path)
relative_path = os.path.relpath(root, input_dir)
output_path_dir = os.path.join(output_dir, relative_path)
if not os.path.exists(output_path_dir):
os.makedirs(output_path_dir)
image = preprocess_image(data, (224, 224))
image.save(os.path.join(output_path_dir, f"{name}_{file}.png"))
except Exception as e:
print(e)
####################################################################################################
input_directory = input('Enter the folder path: ')
output_directory = "./Image_Output"
file_to_images(input_directory, output_directory)
input('Conversion Complete')