deblur-e-nerf / bpy_render_views.py
wengflow's picture
Initial dataset release
bd13c8d verified
"""
Adapted from `360_view.py` & `360_view_test.py` in the original NeRF synthetic
Blender dataset blend-files.
"""
import argparse
import os
import json
from math import radians
import bpy
import numpy as np
COLOR_SPACES = [ "display", "linear" ]
DEVICES = [ "cpu", "cuda", "optix" ]
CIRCLE_FIXED_START = ( 0, 0, 0 )
CIRCLE_FIXED_END = ( .7, 0, 0 )
def listify_matrix(matrix):
matrix_list = []
for row in matrix:
matrix_list.append(list(row))
return matrix_list
def parent_obj_to_camera(b_camera):
origin = (0, 0, 0)
b_empty = bpy.data.objects.new("Empty", None)
b_empty.location = origin
b_camera.parent = b_empty # setup parenting
scn = bpy.context.scene
scn.collection.objects.link(b_empty)
bpy.context.view_layer.objects.active = b_empty
return b_empty
def main(args):
# open the scene blend-file
bpy.ops.wm.open_mainfile(filepath=args.blend_path)
# initialize render settings
scene = bpy.data.scenes["Scene"]
scene.render.engine = "CYCLES"
scene.render.use_persistent_data = True
if args.device == "cpu":
bpy.context.preferences.addons["cycles"].preferences \
.compute_device_type = "NONE"
bpy.context.scene.cycles.device = "CPU"
elif args.device == "cuda":
bpy.context.preferences.addons["cycles"].preferences \
.compute_device_type = "CUDA"
bpy.context.scene.cycles.device = "GPU"
elif args.device == "optix":
bpy.context.preferences.addons["cycles"].preferences \
.compute_device_type = "OPTIX"
bpy.context.scene.cycles.device = "GPU"
bpy.context.preferences.addons["cycles"].preferences.get_devices()
# initialize compositing nodes
scene.view_layers[0].use_pass_combined = True
scene.use_nodes = True
tree = scene.node_tree
if args.depth:
scene.view_layers[0].use_pass_z = True
combine_color = tree.nodes.new("CompositorNodeCombineColor")
depth_output = tree.nodes.new("CompositorNodeOutputFile")
if args.normal:
scene.view_layers[0].use_pass_normal = True
normal_output = tree.nodes.new("CompositorNodeOutputFile")
if args.depth or args.normal:
render_layers = tree.nodes.new("CompositorNodeRLayers")
# initialize RGB render image output settings
scene.render.filepath = args.renders_path
scene.render.use_file_extension = True
scene.render.use_overwrite = True
scene.render.image_settings.color_mode = "RGBA"
if args.color_space == "display":
scene.render.image_settings.file_format = "PNG"
scene.render.image_settings.color_depth = "8"
scene.render.image_settings.color_management = "FOLLOW_SCENE"
elif args.color_space == "linear":
scene.render.image_settings.file_format = "OPEN_EXR"
scene.render.image_settings.color_depth = "32"
scene.render.image_settings.use_zbuffer = False
if args.depth:
# initialize depth render image output settings
depth_output.base_path = os.path.join(args.renders_path, "depth")
depth_output.file_slots[0].use_node_format = True
scene.frame_set(0)
depth_output.format.file_format = "OPEN_EXR"
depth_output.format.color_mode = "RGB"
depth_output.format.color_depth = "32"
depth_output.format.exr_codec = "NONE"
depth_output.format.use_zbuffer = False
# link compositing nodes
links = tree.links
# output depth img (RGB img is output via the existing composite node)
combine_color.mode = "RGB"
links.new(render_layers.outputs["Depth"], combine_color.inputs["Red"])
combine_color.inputs["Green"].default_value = 0
combine_color.inputs["Blue"].default_value = 0
combine_color.inputs["Alpha"].default_value = 1
links.new(combine_color.outputs["Image"], depth_output.inputs["Image"])
if args.normal:
# initialize normal render image output settings
normal_output.base_path = os.path.join(args.renders_path, "normal")
normal_output.file_slots[0].use_node_format = True
scene.frame_set(0)
normal_output.format.file_format = "OPEN_EXR"
normal_output.format.color_mode = "RGB"
normal_output.format.color_depth = "32"
normal_output.format.exr_codec = "NONE"
normal_output.format.use_zbuffer = False
# link compositing nodes
links = tree.links
# output normal img (RGB img is output via the existing composite node)
combine_color.mode = "RGB"
links.new(render_layers.outputs["Normal"],
normal_output.inputs["Image"])
# initialize camera settings
scene.render.dither_intensity = 0.0
scene.render.film_transparent = True
scene.render.resolution_percentage = 100
scene.render.resolution_x = args.resolution[0]
scene.render.resolution_y = args.resolution[1]
cam = bpy.data.objects["Camera"]
cam.location = (0, 4.0, 0.5)
cam.rotation_mode = "XYZ"
cam_constraint = cam.constraints.new(type="TRACK_TO")
cam_constraint.track_axis = "TRACK_NEGATIVE_Z"
cam_constraint.up_axis = "UP_Y"
b_empty = parent_obj_to_camera(cam)
cam_constraint.target = b_empty
# preprocess & derive paths
args.renders_path = os.path.normpath(args.renders_path) # remove trailing slashes
folder_name = os.path.basename(args.renders_path)
renders_parent_path = os.path.dirname(args.renders_path)
transforms_path = os.path.join(
renders_parent_path, f"transforms_{folder_name}.json"
)
# render novel views
stepsize = 360.0 / args.num_views
if not args.random_views:
vertical_diff = CIRCLE_FIXED_END[0] - CIRCLE_FIXED_START[0]
b_empty.rotation_euler = CIRCLE_FIXED_START
b_empty.rotation_euler[0] = CIRCLE_FIXED_START[0] + vertical_diff
out_data = {
"camera_angle_x": cam.data.angle_x,
"frames": []
}
for i in range(0, args.num_views):
if args.random_views:
if args.upper_views:
rot = np.random.uniform(0, 1, size=3) * (1,0,2*np.pi)
rot[0] = np.abs(np.arccos(1 - 2 * rot[0]) - np.pi/2)
b_empty.rotation_euler = rot
else:
b_empty.rotation_euler = np.random.uniform(0, 2*np.pi, size=3)
else:
print("Rotation {}, {}".format((stepsize * i), radians(stepsize * i)))
scene.render.filepath = os.path.join(args.renders_path, f"r_{i}")
if args.depth:
depth_output.file_slots[0].path = f"r_{i}"
if args.normal:
normal_output.file_slots[0].path = f"r_{i}"
bpy.ops.render.render(write_still=True)
# remove the "0000" suffix in the depth & normal map filenames
if args.depth:
os.rename(os.path.join(depth_output.base_path, f"r_{i}0000.exr"),
os.path.join(depth_output.base_path, f"r_{i}.exr"))
if args.normal:
os.rename(os.path.join(normal_output.base_path, f"r_{i}0000.exr"),
os.path.join(normal_output.base_path, f"r_{i}.exr"))
frame_data = {
"file_path": os.path.join(".", os.path.relpath(
scene.render.filepath, start=renders_parent_path
)),
"rotation": radians(stepsize),
"transform_matrix": listify_matrix(cam.matrix_world)
}
out_data["frames"].append(frame_data)
if args.random_views:
if args.upper_views:
rot = np.random.uniform(0, 1, size=3) * (1,0,2*np.pi)
rot[0] = np.abs(np.arccos(1 - 2 * rot[0]) - np.pi/2)
b_empty.rotation_euler = rot
else:
b_empty.rotation_euler = np.random.uniform(0, 2*np.pi, size=3)
else:
b_empty.rotation_euler[0] = (
CIRCLE_FIXED_START[0]
+ (np.cos(radians(stepsize*i))+1)/2 * vertical_diff
)
b_empty.rotation_euler[2] += radians(2*stepsize)
with open(transforms_path, "w") as out_file:
json.dump(out_data, out_file, indent=4)
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description=("Script for rendering novel views of"
" synthetic Blender scenes.")
)
parser.add_argument(
"blend_path", type=str,
help="Path to the blend-file of the synthetic Blender scene."
)
parser.add_argument(
"renders_path", type=str,
help="Desired path to the novel view renders."
)
parser.add_argument(
"num_views", type=int,
help="Number of novel view renders."
)
parser.add_argument(
"resolution", type=int, nargs=2,
help="Image resolution of the novel view renders."
)
parser.add_argument(
"--color_space", type=str, choices=COLOR_SPACES, default="display",
help="Color space of the output novel view images."
)
parser.add_argument(
"--device", type=str, choices=DEVICES, default="cpu",
help="Compute device type for rendering."
)
parser.add_argument(
"--random_views", action="store_true",
help="Randomly sample novel views."
)
parser.add_argument(
"--upper_views", action="store_true",
help="Only sample novel views from the upper hemisphere."
)
parser.add_argument(
"--depth", action="store_true",
help="Render depth maps too."
)
parser.add_argument(
"--normal", action="store_true",
help="Render normal maps too."
)
args = parser.parse_args()
main(args)