forked from LeenkxTeam/LNXSDK
485 lines
17 KiB
Python
485 lines
17 KiB
Python
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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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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:
|
||
|
|
subprocess.call([
|
||
|
|
kraffiti_path
|
||
|
|
+ ' from="' + f + '.hdr"'
|
||
|
|
+ ' to="' + f + '.jpg"'
|
||
|
|
+ ' format=jpg'], shell=True)
|
||
|
|
os.remove(f + '.hdr')
|
||
|
|
|
||
|
|
# Scale from (4x2 to 1x1>
|
||
|
|
for i in range(0, 2):
|
||
|
|
last = generated_files[-1]
|
||
|
|
out = output_file_rad + '_' + str(mip_count + i)
|
||
|
|
if lnx.utils.get_os() == 'win':
|
||
|
|
subprocess.call([
|
||
|
|
kraffiti_path,
|
||
|
|
'from=' + last + '.' + rad_format,
|
||
|
|
'to=' + out + '.' + rad_format,
|
||
|
|
'scale=0.5',
|
||
|
|
'format=' + rad_format], shell=True)
|
||
|
|
else:
|
||
|
|
subprocess.call([
|
||
|
|
kraffiti_path
|
||
|
|
+ ' from=' + '"' + last + '.' + rad_format + '"'
|
||
|
|
+ ' to=' + '"' + out + '.' + rad_format + '"'
|
||
|
|
+ ' scale=0.5'
|
||
|
|
+ ' format=' + rad_format], shell=True)
|
||
|
|
generated_files.append(out)
|
||
|
|
|
||
|
|
mip_count += 2
|
||
|
|
|
||
|
|
add_rad_assets(output_file_rad, rad_format, mip_count)
|
||
|
|
|
||
|
|
return mip_count
|
||
|
|
|
||
|
|
|
||
|
|
def sh_to_json(sh_file):
|
||
|
|
"""Parse sh coefs produced by cmft into json array"""
|
||
|
|
with open(sh_file + '.c') as f:
|
||
|
|
sh_lines = f.read().splitlines()
|
||
|
|
band0_line = sh_lines[5]
|
||
|
|
band1_line = sh_lines[6]
|
||
|
|
band2_line = sh_lines[7]
|
||
|
|
|
||
|
|
irradiance_floats = []
|
||
|
|
parse_band_floats(irradiance_floats, band0_line)
|
||
|
|
parse_band_floats(irradiance_floats, band1_line)
|
||
|
|
parse_band_floats(irradiance_floats, band2_line)
|
||
|
|
|
||
|
|
# Lower exposure to adjust to Eevee and Cycles
|
||
|
|
for i in range(0, len(irradiance_floats)):
|
||
|
|
irradiance_floats[i] /= 2
|
||
|
|
|
||
|
|
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
|