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