upscaler-gallery / scripts /generate-icat-comparison-projects.py
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import os
import re
import sys
import json
import uuid
import struct
from collections import defaultdict
def get_png_dimensions(file_path):
"""
Returns the (width, height) of a PNG image by reading the file's metadata.
"""
with open(file_path, 'rb') as f:
# PNG files start with an 8-byte signature
signature = f.read(8)
# Check if the file is a valid PNG by checking the signature
if signature != b'\x89PNG\r\n\x1a\n':
raise ValueError("Not a valid PNG file")
# The IHDR chunk starts after the 8-byte signature and 4-byte length field
f.read(4) # Skip the length of the IHDR chunk
# Ensure we're reading the IHDR chunk
ihdr_chunk = f.read(4)
if ihdr_chunk != b'IHDR':
raise ValueError("Invalid PNG IHDR chunk")
# Read width and height from the IHDR chunk (8 bytes total)
width, height = struct.unpack('>II', f.read(8))
return width, height
def get_jpeg_dimensions(file_path):
"""
Returns the (width, height) of a JPG image by reading the file's metadata.
"""
with open(file_path, 'rb') as f:
f.seek(0)
data = f.read(24)
# Check if file is JPEG
if data[0:2] == b'\xff\xd8': # JPEG files start with 0xFFD8
while True:
f.seek(2, 1) # Skip marker
marker = f.read(2)
if marker[0] == 0xFF and marker[1] == 0xC0: # Start of Frame marker
f.seek(3, 1) # Skip precision byte
height = int.from_bytes(f.read(2), 'big')
width = int.from_bytes(f.read(2), 'big')
return width, height
else:
size = int.from_bytes(f.read(2), 'big')
f.seek(size - 2, 1) # Skip to the next block
else:
raise ValueError("Not a JPEG file")
def get_image_dimensions(file_path):
extension = os.path.splitext(file_path)[-1].lower()
if extension == '.jpg' or extension == '.jpeg':
return get_jpeg_dimensions(file_path)
elif extension == '.png':
return get_png_dimensions(file_path)
else:
raise ValueError("Unsupported file format")
# Get the directory of the current script
script_dir = os.path.dirname(os.path.abspath(__file__))
# Construct the full path to the target directory
base_dir = os.path.join(script_dir, '..', 'result', 'flux-dev')
output_dir = os.path.join(script_dir, '..', 'output/icat_projects')
if not os.path.exists(base_dir):
print(f"The path {base_dir} does not exist!")
sys.exit(1) # Exit the program with a non-zero status to indicate an error
else:
print(f"Searching for images in {base_dir}.")
os.makedirs(output_dir, exist_ok=True)
# Regular expression to match the five-digit number in the file names
pattern = re.compile(r'\d{5}')
# Dictionary to store file groups
file_groups = defaultdict(list)
# Walk through all subdirectories and files
for root, dirs, files in os.walk(base_dir):
for file in files:
# Search for the five-digit number in the file name
match = pattern.search(file)
if match:
# Get the five-digit number
number = match.group()
# Add the file (with its full path) to the corresponding group
file_groups[number].append(os.path.join(root, file))
# Fill JSON structure with grouped files
for number, group in file_groups.items():
media_files = []
media_order = []
# JSON structure template
json_structure = {
"uiVisibility": {
"antiAliasSelect": True,
"fullscreenButton": True,
"gridSelect": True,
"helpButton": True,
"layersButton": True,
"layoutTabs": True,
"loopButton": True,
"mediaInfo": True,
"pixelDataButton": False,
"progressBar": True,
"setSelect": False,
"speedSelect": True,
"startEndTime": True,
"timeDisplay": True,
"titleBar": True,
"videoControls": True,
"zoomSelect": True,
"contentSidebar": True,
"timeline": True,
"controlBar": True,
"addFilterBtn": True,
"addLogoBtn": True,
"inOutSlider": True,
"timelineInOutSlider": False,
"appSettingsBtn": True
},
"sets": []
}
for file_path in group:
file_name = os.path.basename(file_path)
base_name = file_name.rsplit('.', 1)[0]
hex_id = uuid.uuid4().hex # Generate a unique hex ID for each file
cleaned_path = os.path.abspath(file_path).replace('\\', '%5C').replace(':', '%3A')
width, height = get_image_dimensions(file_path)
# Example media entry
media_entry = {
"id": hex_id,
"created": int(os.path.getctime(file_path) * 1000),
"codec": "PNG",
"bitrate": 0,
"width": width,
"height": height,
"type": "image",
"fps": 0,
"duration": 0,
"size": os.path.getsize(file_path),
"modified": int(os.path.getmtime(file_path) * 1000),
"hasAudio": False,
"timestamps": [],
"path": os.path.abspath(file_path).replace("/", "\\"),
"name": file_name,
"base": base_name,
"originalBase": base_name,
"extension": file_name.split('.')[-1],
"format": "PNG",
"x": 0,
"y": 0,
"z": 100,
"startTime": 0,
"thumbnails": [],
"labelVisibility": {
"codec": False,
"bitrate": False,
"dimensions": False,
"format": False,
"fps": False,
"duration": False,
"startTime": False
},
"muted": True,
"visible": True,
"shaderId": "",
"shaderInputs": [],
"shaderSettings": {},
"shaderSource": "",
"showShader": True,
"src": f"icat://localhost/?src={cleaned_path}",
"mediaOverlay": "",
"frameImages": [],
"showFrameImages": True,
"infoTexts": [],
"showInfoText": False
}
media_files.append(media_entry)
media_order.append(hex_id)
# Add the set entry to JSON structure
set_id = str(uuid.uuid4().hex)
json_structure["activeSet"] = set_id
json_structure["sets"].append({
"id": set_id,
"created": 1724539610545,
"label": f"Einstellen {len(json_structure['sets']) + 1}",
"antiAlias": False,
"endTime": 1e+29,
"grid": 0,
"layout": "split",
"overlayOrder": [],
"looping": True,
"boomerang": False,
"mediaOrder": media_order,
"x": 2170.7728827197748,
"y": 0,
"z": 30.340576171875,
"speed": 1,
"splitposition": 0.5,
"startTime": 0,
"time": 0,
"viewport": {
"top": 93.17708587646484,
"left": 0,
"paneWidth": 2560,
"paneHeight": 932.0625,
"height": 932.0625,
"width": 2560,
"minZoom": 30.340576171875,
"fitScale": 0.30340576171875,
"fitWidth": 4096,
"fitHeight": 3072,
"fitPaneWidth": 4096,
"fitPaneHeight": 3072,
"contentWidth": 4096,
"contentHeight": 3072
},
"gamma": 1,
"exposure": 1,
"media": media_files,
"overlays": []
})
json_filename = os.path.join(output_dir, f"image_comparison_{number}.json")
with open(json_filename, 'w') as json_file:
json.dump(json_structure, json_file, indent=4)
print(f"JSON-Datei für Gruppe {number} wurde geschrieben: {json_filename}")