Initial dataset release

.gitattributes

@@ -53,3 +53,10 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+
+# Blend files
+*.blend filter=lfs diff=lfs merge=lfs -text
+# Image files
+*.exr filter=lfs diff=lfs merge=lfs -text
+# ROS bags
+*.bag filter=lfs diff=lfs merge=lfs -text

bpy_render_views.py

@@ -0,0 +1,272 @@
+"""
+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)

chair/easy/esim.bag

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0a24742eeb3723e0b17013fc4df09a0787176c578616726dbe6ec453e3a00448
+size 17489346921

chair/easy/esim.conf

@@ -0,0 +1,59 @@
+--vmodule=data_provider_online_render=0
+--random_seed=50
+--data_source=0
+--path_to_output_bag=/data/wflow/datasets/deblur-e-nerf/chair/easy/esim.bag
+
+--contrast_threshold_pos=0.25
+--contrast_threshold_neg=0.25
+--contrast_threshold_sigma_pos=0
+--contrast_threshold_sigma_neg=0
+--refractory_period_ns=0
+--leak_rate_hz=0
+
+# DVS128 nominal biases
+--I_p_to_intensity_ratio_fa=200000
+--dark_current_fa=4
+--amplifier_gain=140
+--back_gate_coeff=0.7
+--thermal_voltage_mv=25
+--photodiode_cap_ff=35
+--miller_cap_ff=0.6
+--output_time_const_us=1815
+--lower_cutoff_freq_hz=0.01
+--sf_cutoff_freq_hz=3122
+--diff_amp_cutoff_freq_hz=16000
+
+--exposure_time_ms=0.0
+--use_log_image=1
+--log_eps=0.00196078431
+# 0.5/255
+--simulate_color_events=true
+
+--calib_filename=/data/wflow/datasets/deblur-e-nerf/pinhole_mono_nodistort_f=1111.yaml
+
+--renderer_type=4
+--blend_file=/data/wflow/datasets/deblur-e-nerf/scenes/chair.blend
+--blender_bridge_port=5555
+--blender_render_device_type=2
+--blender_render_device_id=5
+--blender_interm_color_space=0
+--blender_interm_rgba_file=/tmp/esim_blender_rgba_chair-easy
+--blender_interm_depth_file=/tmp/esim_blender_depth_chair-easy
+
+--trajectory_type=1
+--trajectory_spline_order=5
+--trajectory_num_spline_segments=400
+--trajectory_lambda=0.0
+--trajectory_csv_file=/data/wflow/datasets/deblur-e-nerf/hemisphere_spiral-rev=4-rps=0.25.csv
+--trajectory_csv_file_rotation_repr=1
+
+--simulation_minimum_framerate=50.0
+--simulation_imu_rate=1000.0
+--simulation_adaptive_sampling_method=1
+--simulation_adaptive_sampling_lambda=0.5
+
+--ros_publisher_frame_rate=250
+--ros_publisher_depth_rate=10
+--ros_publisher_optic_flow_rate=10
+--ros_publisher_pointcloud_rate=10
+--ros_publisher_camera_info_rate=10

chair/hard/esim.bag

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b975bd94099be9131013afbb2957f9363cf184a4fa169fbc3972d406fc9335a
+size 634799732

chair/hard/esim.conf

@@ -0,0 +1,59 @@
+--vmodule=data_provider_online_render=0
+--random_seed=50
+--data_source=0
+--path_to_output_bag=/data/wflow/datasets/deblur-e-nerf/chair/hard/esim.bag
+
+--contrast_threshold_pos=0.25
+--contrast_threshold_neg=0.25
+--contrast_threshold_sigma_pos=0
+--contrast_threshold_sigma_neg=0
+--refractory_period_ns=0
+--leak_rate_hz=0
+
+# DVS128 nominal biases
+--I_p_to_intensity_ratio_fa=20
+--dark_current_fa=4
+--amplifier_gain=140
+--back_gate_coeff=0.7
+--thermal_voltage_mv=25
+--photodiode_cap_ff=35
+--miller_cap_ff=0.6
+--output_time_const_us=1815
+--lower_cutoff_freq_hz=0.01
+--sf_cutoff_freq_hz=3122
+--diff_amp_cutoff_freq_hz=16000
+
+--exposure_time_ms=0.0
+--use_log_image=1
+--log_eps=0.00196078431
+# 0.5/255
+--simulate_color_events=true
+
+--calib_filename=/data/wflow/datasets/deblur-e-nerf/pinhole_mono_nodistort_f=1111.yaml
+
+--renderer_type=4
+--blend_file=/data/wflow/datasets/deblur-e-nerf/scenes/chair.blend
+--blender_bridge_port=5555
+--blender_render_device_type=2
+--blender_render_device_id=5
+--blender_interm_color_space=0
+--blender_interm_rgba_file=/tmp/esim_blender_rgba_chair-hard
+--blender_interm_depth_file=/tmp/esim_blender_depth_chair-hard
+
+--trajectory_type=1
+--trajectory_spline_order=5
+--trajectory_num_spline_segments=400
+--trajectory_lambda=0.0
+--trajectory_csv_file=/data/wflow/datasets/deblur-e-nerf/hemisphere_spiral-rev=4-rps=8.csv
+--trajectory_csv_file_rotation_repr=1
+
+--simulation_minimum_framerate=50.0
+--simulation_imu_rate=1000.0
+--simulation_adaptive_sampling_method=1
+--simulation_adaptive_sampling_lambda=0.5
+
+--ros_publisher_frame_rate=250
+--ros_publisher_depth_rate=10
+--ros_publisher_optic_flow_rate=10
+--ros_publisher_pointcloud_rate=10
+--ros_publisher_camera_info_rate=10

chair/medium/esim.bag

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e60e8049732f27732b537fa630b9755e479a60b1aacdead388c4cbf9ffa82d19
+size 3836862957

chair/medium/esim.conf

@@ -0,0 +1,59 @@
+--vmodule=data_provider_online_render=0
+--random_seed=50
+--data_source=0
+--path_to_output_bag=/data/wflow/datasets/deblur-e-nerf/chair/medium/esim.bag
+
+--contrast_threshold_pos=0.25
+--contrast_threshold_neg=0.25
+--contrast_threshold_sigma_pos=0
+--contrast_threshold_sigma_neg=0
+--refractory_period_ns=0
+--leak_rate_hz=0
+
+# DVS128 nominal biases
+--I_p_to_intensity_ratio_fa=2000
+--dark_current_fa=4
+--amplifier_gain=140
+--back_gate_coeff=0.7
+--thermal_voltage_mv=25
+--photodiode_cap_ff=35
+--miller_cap_ff=0.6
+--output_time_const_us=1815
+--lower_cutoff_freq_hz=0.01
+--sf_cutoff_freq_hz=3122
+--diff_amp_cutoff_freq_hz=16000
+
+--exposure_time_ms=0.0
+--use_log_image=1
+--log_eps=0.00196078431
+# 0.5/255
+--simulate_color_events=true
+
+--calib_filename=/data/wflow/datasets/deblur-e-nerf/pinhole_mono_nodistort_f=1111.yaml
+
+--renderer_type=4
+--blend_file=/data/wflow/datasets/deblur-e-nerf/scenes/chair.blend
+--blender_bridge_port=5557
+--blender_render_device_type=2
+--blender_render_device_id=7
+--blender_interm_color_space=0
+--blender_interm_rgba_file=/tmp/esim_blender_rgba_chair-medium
+--blender_interm_depth_file=/tmp/esim_blender_depth_chair-medium
+
+--trajectory_type=1
+--trajectory_spline_order=5
+--trajectory_num_spline_segments=400
+--trajectory_lambda=0.0
+--trajectory_csv_file=/data/wflow/datasets/deblur-e-nerf/hemisphere_spiral-rev=4-rps=2.csv
+--trajectory_csv_file_rotation_repr=1
+
+--simulation_minimum_framerate=50.0
+--simulation_imu_rate=1000.0
+--simulation_adaptive_sampling_method=1
+--simulation_adaptive_sampling_lambda=0.5
+
+--ros_publisher_frame_rate=250
+--ros_publisher_depth_rate=10
+--ros_publisher_optic_flow_rate=10
+--ros_publisher_pointcloud_rate=10
+--ros_publisher_camera_info_rate=10