def test_importor_sample(self):
scene = example.cornell_box
render = ims.importer_sample(ctx.Context())
input_xy, output_color = render.drive_raycasting(scene)
writer = sw.NormalizedWriter(ctx.Context())
writer.write(input_xy, output_color, 'output_test1.jpg')
def test_normalizedwriter(self):
sample_size = 100
input_xy = np.random.random((int(sample_size), 2)) * 2 - 1
output_color = np.random.random((int(sample_size), 3))
output_color[input_xy[:, 0] > input_xy[:, 1], :] = 0
writer = sw.NormalizedWriter(ctx.Context())
writer.write(input_xy, output_color, 'output_points.jpg')
def test_simple_render(self):
scene = example.cornell_box
render = raycasting.SimpleReverseRayCasting(ctx.Context())
input_xy, output_color = render.drive_raycasting(scene)
writer = sw.NormalizedWriter(ctx.Context())
writer.write(input_xy, output_color, 'output_test.jpg')
def render(self):
scene = make_shadow_cornell_box()
myContext = ctx.Context()
# myContext.raycasting_iteration = int(1e6)
render = raycasting.SimpleReverseRayCasting(myContext)
input_xy, output_color = render.drive_raycasting(scene)
writer = sw.NormalizedWriter(myContext)
writer.write(input_xy, output_color, 'output_test.jpg')
# if __name__ == "__main__":
# test = STRRelaxRender()
# test.render()