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Summary: The shebang line `#!<path to interpreter>` is only required for Python scripts, so remove it on source files for class or function definitions. Additionally explicitly mark as executable the actual Python scripts in the codebase. Reviewed By: nikhilaravi Differential Revision: D20095778 fbshipit-source-id: d312599fba485e978a243292f88a180d71e1b55a
109 lines
3.6 KiB
Python
109 lines
3.6 KiB
Python
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
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import numpy as np
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import unittest
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from pathlib import Path
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import torch
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from PIL import Image
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from pytorch3d.renderer.cameras import (
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OpenGLPerspectiveCameras,
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look_at_view_transform,
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)
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from pytorch3d.renderer.mesh.rasterizer import (
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MeshRasterizer,
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RasterizationSettings,
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)
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from pytorch3d.utils.ico_sphere import ico_sphere
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DATA_DIR = Path(__file__).resolve().parent / "data"
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DEBUG = False # Set DEBUG to true to save outputs from the tests.
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def convert_image_to_binary_mask(filename):
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with Image.open(filename) as raw_image:
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image = torch.from_numpy(np.array(raw_image))
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min = image.min()
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max = image.max()
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image_norm = (image - min) / (max - min)
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image_norm[image_norm > 0] == 1.0
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image_norm = image_norm.to(torch.int64)
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return image_norm
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class TestMeshRasterizer(unittest.TestCase):
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def test_simple_sphere(self):
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device = torch.device("cuda:0")
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ref_filename = "test_rasterized_sphere.png"
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image_ref_filename = DATA_DIR / ref_filename
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# Rescale image_ref to the 0 - 1 range and convert to a binary mask.
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image_ref = convert_image_to_binary_mask(image_ref_filename)
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# Init mesh
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sphere_mesh = ico_sphere(5, device)
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# Init rasterizer settings
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R, T = look_at_view_transform(2.7, 0, 0)
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cameras = OpenGLPerspectiveCameras(device=device, R=R, T=T)
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raster_settings = RasterizationSettings(
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image_size=512, blur_radius=0.0, faces_per_pixel=1, bin_size=0
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)
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# Init rasterizer
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rasterizer = MeshRasterizer(
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cameras=cameras, raster_settings=raster_settings
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)
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####################################
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# 1. Test rasterizing a single mesh
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####################################
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fragments = rasterizer(sphere_mesh)
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image = fragments.pix_to_face[0, ..., 0].squeeze().cpu()
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# Convert pix_to_face to a binary mask
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image[image >= 0] = 1.0
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image[image < 0] = 0.0
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if DEBUG:
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Image.fromarray((image.numpy() * 255).astype(np.uint8)).save(
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DATA_DIR / "DEBUG_test_rasterized_sphere.png"
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)
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self.assertTrue(torch.allclose(image, image_ref))
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##################################
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# 2. Test with a batch of meshes
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##################################
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batch_size = 10
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sphere_meshes = sphere_mesh.extend(batch_size)
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fragments = rasterizer(sphere_meshes)
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for i in range(batch_size):
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image = fragments.pix_to_face[i, ..., 0].squeeze().cpu()
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image[image >= 0] = 1.0
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image[image < 0] = 0.0
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self.assertTrue(torch.allclose(image, image_ref))
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####################################################
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# 3. Test that passing kwargs to rasterizer works.
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####################################################
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# Change the view transform to zoom in.
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R, T = look_at_view_transform(2.0, 0, 0, device=device)
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fragments = rasterizer(sphere_mesh, R=R, T=T)
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image = fragments.pix_to_face[0, ..., 0].squeeze().cpu()
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image[image >= 0] = 1.0
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image[image < 0] = 0.0
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ref_filename = "test_rasterized_sphere_zoom.png"
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image_ref_filename = DATA_DIR / ref_filename
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image_ref = convert_image_to_binary_mask(image_ref_filename)
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if DEBUG:
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Image.fromarray((image.numpy() * 255).astype(np.uint8)).save(
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DATA_DIR / "DEBUG_test_rasterized_sphere_zoom.png"
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)
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self.assertTrue(torch.allclose(image, image_ref))
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