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import_export.py
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import_export.py
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############################################################################
# This work, "Plenoptic Data Rendering", is a derivative of "4D Light #
# Field Benchmark" by Katrin Honauer & Ole Johannsen used under #
# Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International #
# License (http://creativecommons.org/licenses/by-nc-sa/4.0/) #
# and #
# "Stanford PLY Format" by Bruce Merry & Campbell Barton used under #
# GNU General Public License version 3.0 (GPLv3) #
# (https://www.gnu.org/licenses/gpl-3.0.html) / Desaturated from original #
# #
# "Plenoptic Data Rendering" is licensed under GPLv3 #
# (https://www.gnu.org/licenses/gpl-3.0.html) by Daniel Albares Martin #
# #
############################################################################
############################################################################
# This file is part of the 4D Light Field Benchmark. #
# #
# This work is licensed under the Creative Commons #
# Attribution-NonCommercial-ShareAlike 4.0 International License. #
# To view a copy of this license, #
# visit http://creativecommons.org/licenses/by-nc-sa/4.0/. #
# #
# Authors: Katrin Honauer & Ole Johannsen #
# Contact: contact@lightfield-analysis.net #
# Website: www.lightfield-analysis.net #
# #
# This add-on is based upon work of Maximilian Diebold #
# #
# The 4D Light Field Benchmark was jointly created by the University of #
# Konstanz and the HCI at Heidelberg University. If you use any part of #
# the benchmark, please cite our paper "A dataset and evaluation #
# methodology for depth estimation on 4D light fields". Thanks! #
# #
# @inproceedings{honauer2016benchmark, #
# title={A dataset and evaluation methodology for depth estimation on #
# 4D light fields}, #
# author={Honauer, Katrin and Johannsen, Ole and Kondermann, Daniel #
# and Goldluecke, Bastian}, #
# booktitle={Asian Conference on Computer Vision}, #
# year={2016}, #
# organization={Springer} #
# } #
# #
############################################################################
import bpy
from bpy.props import *
import configparser
class OBJECT_OT_save_lightfield(bpy.types.Operator):
"""Save config file with camera setup"""
bl_idname = "scene.save_lightfield"
bl_label = """Save light field parameters"""
bl_options = {'REGISTER'}
def execute(self, context):
LF = bpy.context.scene.LF
parser = configparser.ConfigParser(delimiters="=")
section = "intrinsics"
parser.add_section(section)
parser.set(section, 'focal_length_mm', str(LF.focal_length))
parser.set(section, 'image_resolution_x_px', str(LF.x_res))
parser.set(section, 'image_resolution_y_px', str(LF.y_res))
parser.set(section, 'sensor_size_mm', str(LF.sensor_size))
parser.set(section, 'fstop', str(LF.fstop))
section = "extrinsics"
parser.add_section(section)
parser.set(section, 'num_cams_x', str(LF.num_cams_x))
parser.set(section, 'num_cams_y', str(LF.num_cams_y))
parser.set(section, 'baseline_mm', str(LF.baseline_mm))
parser.set(section, 'focus_distance_m', str(LF.focus_dist))
try:
lightfield = bpy.data.objects[LF.get_lightfield_name()]
LF.center_cam_x, LF.center_cam_y, LF.center_cam_z = lightfield.location
LF.center_cam_rot_x, LF.center_cam_rot_y, LF.center_cam_rot_z = lightfield.rotation_euler
parser.set(section, 'center_cam_x_m', str(LF.center_cam_x))
parser.set(section, 'center_cam_y_m', str(LF.center_cam_y))
parser.set(section, 'center_cam_z_m', str(LF.center_cam_z))
parser.set(section, 'center_cam_rx_rad', str(LF.center_cam_rot_x))
parser.set(section, 'center_cam_ry_rad', str(LF.center_cam_rot_y))
parser.set(section, 'center_cam_rz_rad', str(LF.center_cam_rot_z))
except:
pass
parser.set(section, 'offset', str(self.get_offset(LF)))
section = "meta"
parser.add_section(section)
parser.set(section, 'scene', str(LF.scene))
parser.set(section, 'category', str(LF.category))
parser.set(section, 'date', str(LF.date))
parser.set(section, 'version', str(LF.version))
parser.set(section, 'authors', str(LF.authors))
parser.set(section, 'contact', str(LF.contact))
parser.set(section, 'cycles_seed', str(LF.cycles_seed))
parser.set(section, 'disp_min', str(round(LF.min_disp, 1)))
parser.set(section, 'disp_max', str(round(LF.max_disp, 1)))
parser.set(section, 'frustum_disp_min', str(LF.frustum_min_disp))
parser.set(section, 'frustum_disp_max', str(LF.frustum_max_disp))
parser.set(section, 'depth_map_scale', str(LF.depth_map_scale))
with open(bpy.path.abspath(LF.path_config_file), "w") as f:
parser.write(f)
return {'FINISHED'}
def get_offset(self, LF):
if LF.focus_dist > 0:
offset = LF.baseline_mm * LF.focal_length / LF.focus_dist / 1000. / LF.sensor_size * max(LF.x_res, LF.y_res)
else:
offset = 0
return offset
class OBJECT_OT_load_lightfield(bpy.types.Operator):
"""Load config file with camera setup"""
bl_idname = "scene.load_lightfield"
bl_label = """Load and initialize light field parameters"""
bl_options = {'REGISTER'}
def execute(self, context):
LF = bpy.context.scene.LF
parser = configparser.ConfigParser(delimiters="=")
parser.read(bpy.path.abspath(LF.path_config_file))
section = "intrinsics"
LF.focal_length = float(parser.get(section, 'focal_length_mm'))
LF.x_res = int(parser.get(section, 'image_resolution_x_px'))
LF.y_res = int(parser.get(section, 'image_resolution_y_px'))
LF.sensor_size = float(parser.get(section, 'sensor_size_mm'))
LF.fstop = float(parser.get(section, 'fstop'))
section = "meta"
LF.scene = parser.get(section, 'scene')
LF.category = parser.get(section, 'category')
LF.date = parser.get(section, 'date')
LF.version = parser.get(section, 'version')
LF.authors = parser.get(section, 'authors')
LF.contact = parser.get(section, 'contact')
LF.frustum_min_disp = float(parser.get(section, 'frustum_disp_min'))
LF.frustum_max_disp = float(parser.get(section, 'frustum_disp_max'))
LF.min_disp = float(parser.get(section, 'disp_min'))
LF.max_disp = float(parser.get(section, 'disp_max'))
LF.depth_map_scale = float(parser.get(section, 'depth_map_scale'))
LF.cycles_seed = float(parser.get(section, 'cycles_seed'))
section = "extrinsics"
LF.num_cams_x = int(parser.get(section, 'num_cams_x'))
LF.num_cams_y = int(parser.get(section, 'num_cams_y'))
LF.baseline_mm = float(parser.get(section, 'baseline_mm'))
LF.focus_dist = float(parser.get(section, 'focus_distance_m'))
LF.center_cam_x = float(parser.get(section, 'center_cam_x_m'))
LF.center_cam_y = float(parser.get(section, 'center_cam_y_m'))
LF.center_cam_z = float(parser.get(section, 'center_cam_z_m'))
LF.center_cam_rot_x = float(parser.get(section, 'center_cam_rx_rad'))
LF.center_cam_rot_y = float(parser.get(section, 'center_cam_ry_rad'))
LF.center_cam_rot_z = float(parser.get(section, 'center_cam_rz_rad'))
bpy.ops.scene.create_lightfield('EXEC_DEFAULT')
return {'FINISHED'}
classes = (
OBJECT_OT_save_lightfield,
OBJECT_OT_load_lightfield,
)
def register():
from bpy.utils import register_class
for cls in classes:
register_class(cls)
def unregister():
from bpy.utils import unregister_class
for cls in reversed(classes):
unregister_class(cls)
if __name__ == "__main__":
register()