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Fix tensorboard examples with MonkeyModel path (isl-org#6569)
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@ssheorey
ssheorey authored Jan 5, 2024
1 parent be53855 commit 0f06a14
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Showing 2 changed files with 28 additions and 33 deletions.
32 changes: 15 additions & 17 deletions examples/python/visualization/tensorboard_pytorch.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,24 +5,23 @@
# SPDX-License-Identifier: MIT
# ----------------------------------------------------------------------------
import copy
import os
from os.path import exists, join, dirname, basename, splitext
import sys
import numpy as np
import open3d as o3d
# pylint: disable-next=unused-import
from open3d.visualization.tensorboard_plugin import summary # noqa
from open3d.visualization.tensorboard_plugin.util import to_dict_batch
from torch.utils.tensorboard import SummaryWriter

BASE_LOGDIR = "demo_logs/pytorch/"
MODEL_DIR = os.path.join(
os.path.dirname(os.path.dirname(os.path.dirname(
os.path.realpath(__file__)))), "test_data", "monkey")
MODEL_PATH = o3d.data.MonkeyModel().path


def small_scale(run_name="small_scale"):
"""Basic demo with cube and cylinder with normals and colors.
"""
logdir = os.path.join(BASE_LOGDIR, run_name)
logdir = join(BASE_LOGDIR, run_name)
writer = SummaryWriter(logdir)

cube = o3d.geometry.TriangleMesh.create_box(1, 2, 4, create_uv_map=True)
Expand All @@ -45,7 +44,7 @@ def property_reference(run_name="property_reference"):
"""Produces identical visualization to small_scale, but does not store
repeated properties of ``vertex_positions`` and ``vertex_normals``.
"""
logdir = os.path.join(BASE_LOGDIR, run_name)
logdir = join(BASE_LOGDIR, run_name)
writer = SummaryWriter(logdir)

cube = o3d.geometry.TriangleMesh.create_box(1, 2, 4, create_uv_map=True)
Expand Down Expand Up @@ -79,7 +78,7 @@ def large_scale(n_steps=16,
"""Generate a large scale summary. Geometry resolution increases linearly
with step. Each element in a batch is painted a different color.
"""
logdir = os.path.join(BASE_LOGDIR, run_name)
logdir = join(BASE_LOGDIR, run_name)
writer = SummaryWriter(logdir)
colors = []
for k in range(batch_size):
Expand Down Expand Up @@ -116,14 +115,13 @@ def large_scale(n_steps=16,
max_outputs=batch_size)


def with_material(model_dir=MODEL_DIR):
def with_material(model_path=MODEL_PATH):
"""Read an obj model from a directory and write as a TensorBoard summary.
"""
model_name = os.path.basename(model_dir)
logdir = os.path.join(BASE_LOGDIR, model_name)
model_path = os.path.join(model_dir, model_name + ".obj")
model = o3d.t.geometry.TriangleMesh.from_legacy(
o3d.io.read_triangle_mesh(model_path))
model_dir = dirname(model_path)
model_name = splitext(basename(model_path))[0]
logdir = join(BASE_LOGDIR, model_name)
model = o3d.t.io.read_triangle_mesh(model_path)
summary_3d = {
"vertex_positions": model.vertex.positions,
"vertex_normals": model.vertex.normals,
Expand All @@ -134,8 +132,8 @@ def with_material(model_dir=MODEL_DIR):
names_to_o3dprop = {"ao": "ambient_occlusion"}

for texture in ("albedo", "normal", "ao", "metallic", "roughness"):
texture_file = os.path.join(model_dir, texture + ".png")
if os.path.exists(texture_file):
texture_file = join(model_dir, texture + ".png")
if exists(texture_file):
texture = names_to_o3dprop.get(texture, texture)
summary_3d.update({
("material_texture_map_" + texture):
Expand All @@ -149,11 +147,11 @@ def with_material(model_dir=MODEL_DIR):


def demo_scene():
"""Write the demo_scene.py example showing rich PBR materials as a summary
"""Write the demo_scene.py example showing rich PBR materials as a summary.
"""
import demo_scene
geoms = demo_scene.create_scene()
writer = SummaryWriter(os.path.join(BASE_LOGDIR, 'demo_scene'))
writer = SummaryWriter(join(BASE_LOGDIR, 'demo_scene'))
for geom_data in geoms:
geom = geom_data["geometry"]
summary_3d = {}
Expand Down
29 changes: 13 additions & 16 deletions examples/python/visualization/tensorboard_tensorflow.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,7 @@
# SPDX-License-Identifier: MIT
# ----------------------------------------------------------------------------
import copy
import os
from os.path import exists, join, dirname, basename, splitext
import sys
import numpy as np
import open3d as o3d
Expand All @@ -14,15 +14,13 @@
import tensorflow as tf

BASE_LOGDIR = "demo_logs/tf/"
MODEL_DIR = os.path.join(
os.path.dirname(os.path.dirname(os.path.dirname(
os.path.realpath(__file__)))), "test_data", "monkey")
MODEL_PATH = o3d.data.MonkeyModel().path


def small_scale(run_name="small_scale"):
"""Basic demo with cube and cylinder with normals and colors.
"""
logdir = os.path.join(BASE_LOGDIR, run_name)
logdir = join(BASE_LOGDIR, run_name)
writer = tf.summary.create_file_writer(logdir)

cube = o3d.geometry.TriangleMesh.create_box(1, 2, 4, create_uv_map=True)
Expand Down Expand Up @@ -52,7 +50,7 @@ def property_reference(run_name="property_reference"):
"""Produces identical visualization to small_scale, but does not store
repeated properties of ``vertex_positions`` and ``vertex_normals``.
"""
logdir = os.path.join(BASE_LOGDIR, run_name)
logdir = join(BASE_LOGDIR, run_name)
writer = tf.summary.create_file_writer(logdir)

cube = o3d.geometry.TriangleMesh.create_box(1, 2, 4, create_uv_map=True)
Expand Down Expand Up @@ -90,7 +88,7 @@ def large_scale(n_steps=16,
"""Generate a large scale summary. Geometry resolution increases linearly
with step. Each element in a batch is painted a different color.
"""
logdir = os.path.join(BASE_LOGDIR, run_name)
logdir = join(BASE_LOGDIR, run_name)
writer = tf.summary.create_file_writer(logdir)
colors = []
for k in range(batch_size):
Expand Down Expand Up @@ -130,14 +128,13 @@ def large_scale(n_steps=16,
max_outputs=batch_size)


def with_material(model_dir=MODEL_DIR):
def with_material(model_path=MODEL_PATH):
"""Read an obj model from a directory and write as a TensorBoard summary.
"""
model_name = os.path.basename(model_dir)
logdir = os.path.join(BASE_LOGDIR, model_name)
model_path = os.path.join(model_dir, model_name + ".obj")
model = o3d.t.geometry.TriangleMesh.from_legacy(
o3d.io.read_triangle_mesh(model_path))
model_dir = dirname(model_path)
model_name = splitext(basename(model_path))[0]
logdir = join(BASE_LOGDIR, model_name)
model = o3d.t.io.read_triangle_mesh(model_path)
summary_3d = {
"vertex_positions": model.vertex.positions,
"vertex_normals": model.vertex.normals,
Expand All @@ -148,8 +145,8 @@ def with_material(model_dir=MODEL_DIR):
names_to_o3dprop = {"ao": "ambient_occlusion"}

for texture in ("albedo", "normal", "ao", "metallic", "roughness"):
texture_file = os.path.join(model_dir, texture + ".png")
if os.path.exists(texture_file):
texture_file = join(model_dir, texture + ".png")
if exists(texture_file):
texture = names_to_o3dprop.get(texture, texture)
summary_3d.update({
("material_texture_map_" + texture):
Expand All @@ -168,7 +165,7 @@ def demo_scene():
"""
import demo_scene
geoms = demo_scene.create_scene()
logdir = os.path.join(BASE_LOGDIR, 'demo_scene')
logdir = join(BASE_LOGDIR, 'demo_scene')
writer = tf.summary.create_file_writer(logdir)
for geom_data in geoms:
geom = geom_data["geometry"]
Expand Down

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