def texturesuv_image_PIL(
texture: TexturesUV,
*,
texture_index: int = 0,
radius: float = 1,
color="red",
subsample: Optional[int] = 10000,
):
"""
Return a PIL image of the texture image of one element of the batch
from a TexturesUV, together with the verts_uvs positions circled.
In particular a value in verts_uvs which is never referenced
in faces_uvs will still be plotted.
This is for debugging purposes, e.g. to align the map with
the uv coordinates. In particular, matplotlib
is used which is not an official dependency of PyTorch3D.
Args:
texture: a TexturesUV object with one mesh
texture_index: index in the batch to plot
radius: plotted circle radius in pixels
color: any PIL-understood color for the circles.
subsample: if not None, number of points to plot.
Otherwise all points are plotted.
Returns:
PIL Image object.
"""
centers = texture.centers_for_image(index=texture_index).numpy()
texture_image = texture.maps_padded()
texture_array = (texture_image[texture_index] * 255).cpu().numpy().astype(
np.uint8)
image = Image.fromarray(texture_array)
draw = ImageDraw.Draw(image)
n_points = centers.shape[0]
if subsample is None or n_points <= subsample:
indices = range(n_points)
else:
indices = np.random.choice(n_points, subsample, replace=False)
for i in indices:
x = centers[i][0]
y = centers[i][1]
draw.ellipse([(x - radius, y - radius), (x + radius, y + radius)],
fill=color)
return image
def texturesuv_image_matplotlib(
texture: TexturesUV,
*,
texture_index: int = 0,
radius: float = 1,
color=(1.0, 0.0, 0.0),
subsample: Optional[int] = 10000,
origin: str = "upper",
) -> None: # pragma: no cover
"""
Plot the texture image for one element of a TexturesUV with
matplotlib together with verts_uvs positions circled.
In particular a value in verts_uvs which is never referenced
in faces_uvs will still be plotted.
This is for debugging purposes, e.g. to align the map with
the uv coordinates. In particular, matplotlib
is used which is not an official dependency of PyTorch3D.
Args:
texture: a TexturesUV object with one mesh
texture_index: index in the batch to plot
radius: plotted circle radius in pixels
color: any matplotlib-understood color for the circles.
subsample: if not None, number of points to plot.
Otherwise all points are plotted.
origin: "upper" or "lower" like matplotlib.imshow .
upper (the default) matches texturesuv_image_PIL.
"""
import matplotlib.pyplot as plt
from matplotlib.patches import Circle
texture_image = texture.maps_padded()
centers = texture.centers_for_image(index=texture_index).numpy()
ax = plt.gca()
ax.imshow(texture_image[texture_index].detach().cpu().numpy(),
origin=origin)
n_points = centers.shape[0]
if subsample is None or n_points <= subsample:
indices = range(n_points)
else:
indices = np.random.choice(n_points, subsample, replace=False)
for i in indices:
# setting clip_on=False makes it obvious when
# we have UV coordinates outside the correct range
ax.add_patch(Circle(centers[i], radius, color=color, clip_on=False))