forked from LeenkxTeam/LNXSDK
		
	
		
			
				
	
	
		
			486 lines
		
	
	
		
			17 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			486 lines
		
	
	
		
			17 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
from contextlib import contextmanager
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import math
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import multiprocessing
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import os
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import re
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import subprocess
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import time
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import bpy
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import lnx.assets as assets
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import lnx.log as log
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import lnx.utils
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if lnx.is_reload(__name__):
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    import lnx
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    assets = lnx.reload_module(assets)
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    log = lnx.reload_module(log)
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    lnx.utils = lnx.reload_module(lnx.utils)
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else:
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    lnx.enable_reload(__name__)
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# The format used for rendering the environment. Choose HDR or JPEG.
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ENVMAP_FORMAT = 'JPEG'
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ENVMAP_EXT = 'hdr' if ENVMAP_FORMAT == 'HDR' else 'jpg'
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__cmft_start_time_seconds = 0.0
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__cmft_end_time_seconds = 0.0
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def add_irr_assets(output_file_irr):
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    assets.add(output_file_irr + '.lnx')
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def add_rad_assets(output_file_rad, rad_format, num_mips):
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    assets.add(output_file_rad + '.' + rad_format)
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    for i in range(0, num_mips):
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        assets.add(output_file_rad + '_' + str(i) + '.' + rad_format)
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@contextmanager
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def setup_envmap_render():
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    """Creates a background scene for rendering environment textures.
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    Use it as a context manager to automatically clean up on errors.
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    """
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    rpdat = lnx.utils.get_rp()
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    radiance_size = int(rpdat.lnx_radiance_size)
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    # Render worlds in a different scene so that there are no other
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    # objects. The actual scene might be called differently if the name
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    # is already taken
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    scene = bpy.data.scenes.new("_lnx_envmap_render")
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    scene.render.engine = "CYCLES"
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    scene.render.image_settings.file_format = ENVMAP_FORMAT
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    if ENVMAP_FORMAT == 'HDR':
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        scene.render.image_settings.color_depth = '32'
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    # Export in linear space and with default color management settings
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    if bpy.app.version < (4, 1, 0):
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        scene.display_settings.display_device = "None"
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    else:
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        scene.display_settings.display_device = "sRGB"
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    scene.view_settings.view_transform = "Standard"
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    scene.view_settings.look = "None"
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    scene.view_settings.exposure = 0
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    scene.view_settings.gamma = 1
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    scene.render.image_settings.quality = 100
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    scene.render.resolution_x = radiance_size
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    scene.render.resolution_y = radiance_size // 2
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    # Set GPU as rendering device if the user enabled it
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    if bpy.context.preferences.addons["cycles"].preferences.compute_device_type != "NONE":
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        scene.cycles.device = "GPU"
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    else:
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        log.info('Using CPU for environment render (might be slow). If possible, configure GPU rendering in Blender preferences (System > Cycles Render Devices).')
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    # Those settings are sufficient for rendering only the world background
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    scene.cycles.samples = 1
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    scene.cycles.max_bounces = 1
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    scene.cycles.diffuse_bounces = 1
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    scene.cycles.glossy_bounces = 1
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    scene.cycles.transmission_bounces = 1
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    scene.cycles.volume_bounces = 1
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    scene.cycles.transparent_max_bounces = 1
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    scene.cycles.caustics_reflective = False
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    scene.cycles.caustics_refractive = False
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    scene.cycles.use_denoising = False
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    # Setup scene
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    cam = bpy.data.cameras.new("_lnx_cam_envmap_render")
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    cam_obj = bpy.data.objects.new("_lnx_cam_envmap_render", cam)
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    scene.collection.objects.link(cam_obj)
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    scene.camera = cam_obj
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    cam_obj.location = [0.0, 0.0, 0.0]
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    cam.type = "PANO"
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    if bpy.app.version < (4, 1, 0):
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        cam.cycles.panorama_type = "EQUIRECTANGULAR"
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    else:
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        cam.panorama_type = "EQUIRECTANGULAR"
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    cam_obj.rotation_euler = [math.radians(90), 0, math.radians(-90)]
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    try:
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        yield
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    finally:
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        bpy.data.objects.remove(cam_obj)
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        bpy.data.cameras.remove(cam)
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        bpy.data.scenes.remove(scene)
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def render_envmap(target_dir: str, world: bpy.types.World) -> str:
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    """Render an environment texture for the given world into the
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    target_dir and return the filename of the rendered image. Use in
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    combination with setup_envmap_render().
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    """
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    scene = bpy.data.scenes['_lnx_envmap_render']
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    scene.world = world
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    world_name = lnx.utils.asset_name(world) if world.library else world.name
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    image_name = f'env_{lnx.utils.safesrc(world_name)}.{ENVMAP_EXT}'
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    render_path = os.path.join(target_dir, image_name)
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    scene.render.filepath = render_path
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    bpy.ops.render.render(write_still=True, scene=scene.name)
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    return image_name
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def write_probes(image_filepath: str, disable_hdr: bool, from_srgb: bool, cached_num_mips: int, lnx_radiance=True) -> int:
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    """Generate probes from environment map and return the mipmap count."""
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    envpath = lnx.utils.get_fp_build() + '/compiled/Assets/envmaps'
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    if not os.path.exists(envpath):
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        os.makedirs(envpath)
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    base_name = lnx.utils.extract_filename(image_filepath).rsplit('.', 1)[0]
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    # Assets to be generated
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    output_file_irr = envpath + '/' + base_name + '_irradiance'
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    output_file_rad = envpath + '/' + base_name + '_radiance'
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    rad_format = 'jpg' if disable_hdr else 'hdr'
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    # Radiance & irradiance exists, keep cache
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    basep = envpath + '/' + base_name
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    if os.path.exists(basep + '_irradiance.lnx'):
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        if not lnx_radiance or os.path.exists(basep + '_radiance_0.' + rad_format):
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            add_irr_assets(output_file_irr)
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            if lnx_radiance:
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                add_rad_assets(output_file_rad, rad_format, cached_num_mips)
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            return cached_num_mips
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    # Get paths
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    sdk_path = lnx.utils.get_sdk_path()
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    kha_path = lnx.utils.get_kha_path()
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    if lnx.utils.get_os() == 'win':
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        cmft_path = sdk_path + '/lib/leenkx_tools/cmft/cmft.exe'
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        kraffiti_path = kha_path + '/Kinc/Tools/windows_x64/kraffiti.exe'
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    elif lnx.utils.get_os() == 'mac':
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        cmft_path = '"' + sdk_path + '/lib/leenkx_tools/cmft/cmft-osx"'
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        kraffiti_path = '"' + kha_path + '/Kinc/Tools/macos/kraffiti"'
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    else:
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        cmft_path = '"' + sdk_path + '/lib/leenkx_tools/cmft/cmft-linux64"'
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        kraffiti_path = '"' + kha_path + '/Kinc/Tools/linux_x64/kraffiti"'
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    input_file = lnx.utils.asset_path(image_filepath)
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    # Scale map, ensure 2:1 ratio (required by cmft)
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    rpdat = lnx.utils.get_rp()
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    target_w = int(rpdat.lnx_radiance_size)
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    target_h = int(target_w / 2)
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    scaled_file = output_file_rad + '.' + rad_format
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    if lnx.utils.get_os() == 'win':
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        subprocess.check_output([
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            kraffiti_path,
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            'from=' + input_file,
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            'to=' + scaled_file,
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            'format=' + rad_format,
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            'width=' + str(target_w),
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            'height=' + str(target_h)])
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    else:
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        subprocess.check_output([
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            kraffiti_path
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            + ' from="' + input_file + '"'
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            + ' to="' + scaled_file + '"'
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            + ' format=' + rad_format
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            + ' width=' + str(target_w)
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            + ' height=' + str(target_h)], shell=True)
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    # Convert sRGB colors into linear color space first (approximately)
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    input_gamma_numerator = '2.2' if from_srgb else '1.0'
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    # Irradiance spherical harmonics
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    if lnx.utils.get_os() == 'win':
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        subprocess.call([
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            cmft_path,
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            '--input', scaled_file,
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            '--filter', 'shcoeffs',
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            '--outputNum', '1',
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            '--output0', output_file_irr,
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            '--inputGammaNumerator', input_gamma_numerator,
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            '--inputGammaDenominator', '1.0',
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            '--outputGammaNumerator', '1.0',
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            '--outputGammaDenominator', '1.0'
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        ])
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    else:
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        subprocess.call([
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            cmft_path
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            + ' --input ' + '"' + scaled_file + '"'
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            + ' --filter shcoeffs'
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            + ' --outputNum 1'
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            + ' --output0 ' + '"' + output_file_irr + '"'
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            + ' --inputGammaNumerator' + input_gamma_numerator
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            + ' --inputGammaDenominator' + '1.0'
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            + ' --outputGammaNumerator' + '1.0'
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            + ' --outputGammaDenominator' + '1.0'
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        ], shell=True)
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    sh_to_json(output_file_irr)
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    add_irr_assets(output_file_irr)
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    # Mip-mapped radiance
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    if not lnx_radiance:
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        return cached_num_mips
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    # 4096 = 256 face
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    # 2048 = 128 face
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    # 1024 = 64 face
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    face_size = target_w / 8
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    if target_w == 2048:
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        mip_count = 9
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    elif target_w == 1024:
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        mip_count = 8
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    else:
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        mip_count = 7
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    wrd = bpy.data.worlds['Lnx']
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    use_opencl = 'true' if lnx.utils.get_pref_or_default("cmft_use_opencl", True) else 'false'
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    # cmft doesn't work correctly when passing the number of logical
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    # CPUs if there are more logical than physical CPUs on a machine
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    cpu_count = lnx.utils.cpu_count(physical_only=True)
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    # CMFT might hang with OpenCl enabled, output warning in that case.
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    # See https://github.com/leenkx3d/leenkx/issues/2760 for details.
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    global __cmft_start_time_seconds, __cmft_end_time_seconds
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    __cmft_start_time_seconds = time.time()
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    try:
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        if lnx.utils.get_os() == 'win':
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            cmd = [
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                cmft_path,
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                '--input', scaled_file,
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                '--filter', 'radiance',
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                '--dstFaceSize', str(face_size),
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                '--srcFaceSize', str(face_size),
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                '--excludeBase', 'false',
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                # '--mipCount', str(mip_count),
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                '--glossScale', '8',
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                '--glossBias', '3',
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                '--lightingModel', 'blinnbrdf',
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                '--edgeFixup', 'none',
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                '--numCpuProcessingThreads', str(cpu_count),
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                '--useOpenCL', use_opencl,
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                '--clVendor', 'anyGpuVendor',
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                '--deviceType', 'gpu',
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                '--deviceIndex', '0',
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                '--generateMipChain', 'true',
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                '--inputGammaNumerator', input_gamma_numerator,
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                '--inputGammaDenominator', '1.0',
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                '--outputGammaNumerator', '1.0',
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                '--outputGammaDenominator', '1.0',
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                '--outputNum', '1',
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                '--output0', output_file_rad,
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                '--output0params', 'hdr,rgbe,latlong'
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            ]
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            if not wrd.lnx_verbose_output:
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                cmd.append('--silent')
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            print(cmd)
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            subprocess.call(cmd)
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        else:
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            cmd = cmft_path + \
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                ' --input "' + scaled_file + '"' + \
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                ' --filter radiance' + \
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                ' --dstFaceSize ' + str(face_size) + \
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                ' --srcFaceSize ' + str(face_size) + \
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                ' --excludeBase false' + \
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                ' --glossScale 8' + \
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                ' --glossBias 3' + \
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                ' --lightingModel blinnbrdf' + \
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                ' --edgeFixup none' + \
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                ' --numCpuProcessingThreads ' + str(cpu_count) + \
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                ' --useOpenCL ' + use_opencl + \
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                ' --clVendor anyGpuVendor' + \
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                ' --deviceType gpu' + \
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                ' --deviceIndex 0' + \
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                ' --generateMipChain true' + \
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                ' --inputGammaNumerator ' + input_gamma_numerator + \
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                ' --inputGammaDenominator 1.0' + \
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                ' --outputGammaNumerator 1.0' + \
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                ' --outputGammaDenominator 1.0' + \
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                ' --outputNum 1' + \
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                ' --output0 "' + output_file_rad + '"' + \
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                ' --output0params hdr,rgbe,latlong'
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            if not wrd.lnx_verbose_output:
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                cmd += ' --silent'
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            print(cmd)
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            subprocess.call([cmd], shell=True)
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    except KeyboardInterrupt as e:
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        __cmft_end_time_seconds = time.time()
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        check_last_cmft_time()
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        raise e
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    __cmft_end_time_seconds = time.time()
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    # Remove size extensions in file name
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    mip_w = int(face_size * 4)
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    mip_base = output_file_rad + '_'
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    mip_num = 0
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    while mip_w >= 4:
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        mip_name = mip_base + str(mip_num)
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        os.rename(
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            mip_name + '_' + str(mip_w) + 'x' + str(int(mip_w / 2)) + '.hdr',
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            mip_name + '.hdr')
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        mip_w = int(mip_w / 2)
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        mip_num += 1
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    # Append mips
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    generated_files = []
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    for i in range(0, mip_count):
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        generated_files.append(output_file_rad + '_' + str(i))
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    # Convert to jpgs
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    if disable_hdr is True:
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        for f in generated_files:
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            if lnx.utils.get_os() == 'win':
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                subprocess.call([
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                    kraffiti_path,
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                    'from=' + f + '.hdr',
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                    'to=' + f + '.jpg',
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                    'format=jpg'])
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            else:
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                subprocess.call([
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                    kraffiti_path
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                    + ' from="' + f + '.hdr"'
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                    + ' to="' + f + '.jpg"'
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                    + ' format=jpg'], shell=True)
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            os.remove(f + '.hdr')
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    # Scale from (4x2 to 1x1>
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    for i in range(0, 2):
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        last = generated_files[-1]
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        out = output_file_rad + '_' + str(mip_count + i)
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        if lnx.utils.get_os() == 'win':
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            subprocess.call([
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                kraffiti_path,
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                'from=' + last + '.' + rad_format,
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                'to=' + out + '.' + rad_format,
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                'scale=0.5',
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                'format=' + rad_format], shell=True)
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        else:
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            subprocess.call([
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                kraffiti_path
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                + ' from=' + '"' + last + '.' + rad_format + '"'
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                + ' to=' + '"' + out + '.' + rad_format + '"'
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                + ' scale=0.5'
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                + ' format=' + rad_format], shell=True)
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        generated_files.append(out)
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    mip_count += 2
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    add_rad_assets(output_file_rad, rad_format, mip_count)
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    return mip_count
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def sh_to_json(sh_file):
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    """Parse sh coefs produced by cmft into json array"""
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    with open(sh_file + '.c') as f:
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        sh_lines = f.read().splitlines()
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    band0_line = sh_lines[5]
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    band1_line = sh_lines[6]
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    band2_line = sh_lines[7]
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    irradiance_floats = []
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    parse_band_floats(irradiance_floats, band0_line)
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    parse_band_floats(irradiance_floats, band1_line)
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    parse_band_floats(irradiance_floats, band2_line)
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    # Lower exposure to adjust to Eevee and Cycles
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    for i in range(0, len(irradiance_floats)):
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        irradiance_floats[i] /= 2
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    sh_json = {'irradiance': irradiance_floats}
 | 
						|
    ext = '.lnx' if bpy.data.worlds['Lnx'].lnx_minimize else ''
 | 
						|
    lnx.utils.write_lnx(sh_file + ext, sh_json)
 | 
						|
 | 
						|
    # Clean up .c
 | 
						|
    os.remove(sh_file + '.c')
 | 
						|
 | 
						|
 | 
						|
def parse_band_floats(irradiance_floats, band_line):
 | 
						|
    string_floats = re.findall(r'[-+]?\d*\.\d+|\d+', band_line)
 | 
						|
    string_floats = string_floats[1:]  # Remove 'Band 0/1/2' number
 | 
						|
    for s in string_floats:
 | 
						|
        irradiance_floats.append(float(s))
 | 
						|
 | 
						|
 | 
						|
def write_sky_irradiance(base_name):
 | 
						|
    # Hosek spherical harmonics
 | 
						|
    irradiance_floats = [
 | 
						|
        1.5519331988822218, 2.3352207154503266, 2.997277451988076,
 | 
						|
        0.2673894962434794, 0.4305630474135794, 0.11331825259716752,
 | 
						|
        -0.04453633521758638, -0.038753175134160295, -0.021302768541875794,
 | 
						|
        0.00055858020486499, 0.000371654770334503, 0.000126606145406403,
 | 
						|
        -0.000135708721978705, -0.000787399554583089, -0.001550090690860059,
 | 
						|
        0.021947399048903773, 0.05453650591711572, 0.08783641266630278,
 | 
						|
        0.17053593578630663, 0.14734127083304463, 0.07775404698816404,
 | 
						|
        -2.6924363189795e-05, -7.9350169701934e-05, -7.559914435231e-05,
 | 
						|
        0.27035455385870993, 0.23122918445556914, 0.12158817295211832]
 | 
						|
    for i in range(0, len(irradiance_floats)):
 | 
						|
        irradiance_floats[i] /= 2
 | 
						|
 | 
						|
    envpath = os.path.join(lnx.utils.get_fp_build(), 'compiled', 'Assets', 'envmaps')
 | 
						|
    if not os.path.exists(envpath):
 | 
						|
        os.makedirs(envpath)
 | 
						|
 | 
						|
    output_file = os.path.join(envpath, base_name + '_irradiance')
 | 
						|
 | 
						|
    sh_json = {'irradiance': irradiance_floats}
 | 
						|
    lnx.utils.write_lnx(output_file + '.lnx', sh_json)
 | 
						|
 | 
						|
    assets.add(output_file + '.lnx')
 | 
						|
 | 
						|
 | 
						|
def write_color_irradiance(base_name, col):
 | 
						|
    """Constant color irradiance"""
 | 
						|
    # Adjust to Cycles
 | 
						|
    irradiance_floats = [col[0] * 1.13, col[1] * 1.13, col[2] * 1.13]
 | 
						|
    for i in range(0, 24):
 | 
						|
        irradiance_floats.append(0.0)
 | 
						|
 | 
						|
    envpath = os.path.join(lnx.utils.get_fp_build(), 'compiled', 'Assets', 'envmaps')
 | 
						|
    if not os.path.exists(envpath):
 | 
						|
        os.makedirs(envpath)
 | 
						|
 | 
						|
    output_file = os.path.join(envpath, base_name + '_irradiance')
 | 
						|
 | 
						|
    sh_json = {'irradiance': irradiance_floats}
 | 
						|
    lnx.utils.write_lnx(output_file + '.lnx', sh_json)
 | 
						|
 | 
						|
    assets.add(output_file + '.lnx')
 | 
						|
 | 
						|
 | 
						|
def check_last_cmft_time():
 | 
						|
    global __cmft_start_time_seconds, __cmft_end_time_seconds
 | 
						|
 | 
						|
    if __cmft_start_time_seconds <= 0.0:
 | 
						|
        # CMFT was not called
 | 
						|
        return
 | 
						|
 | 
						|
    if __cmft_end_time_seconds <= 0.0:
 | 
						|
        # Build was aborted and CMFT didn't finish
 | 
						|
        __cmft_end_time_seconds = time.time()
 | 
						|
 | 
						|
    cmft_duration_seconds = __cmft_end_time_seconds - __cmft_start_time_seconds
 | 
						|
 | 
						|
    # We could also check here if the user already disabled OpenCL and
 | 
						|
    # then don't show the warning, but this might trick users into
 | 
						|
    # thinking they have fixed their issue even in the case that the
 | 
						|
    # slow runtime isn't caused by using OpenCL
 | 
						|
    if cmft_duration_seconds > 20:
 | 
						|
        log.warn(
 | 
						|
            "Generating the radiance map with CMFT took an unusual amount"
 | 
						|
            f" of time ({cmft_duration_seconds:.2f} s). If the issue persists,"
 | 
						|
            " try disabling \"CMFT: Use OpenCL\" in the Leenkx add-on preferences."
 | 
						|
            " For more information see https://github.com/leenkx3d/leenkx/issues/2760."
 | 
						|
        )
 | 
						|
 | 
						|
    __cmft_start_time_seconds = 0.0
 | 
						|
    __cmft_end_time_seconds = 0.0
 |