bump to 0.2.2

docs/source/conf.py

@@ -21,7 +21,7 @@
 author = 'kiui'
 
 # The full version, including alpha/beta/rc tags
-release = '0.2.1'
+release = '0.2.2'
 
 
 # -- General configuration ---------------------------------------------------

kiui/render.py

@@ -415,8 +415,8 @@ def main():
         import imageio
         images = []
         elevation = [opt.elevation,]
-        # azimuth = np.arange(-180, 180, 2, dtype=np.int32) # back-->front-->back
-        azimuth = np.arange(0, 360, 2, dtype=np.int32) # front-->back-->front
+        # azimuth = np.arange(-180, 180, 3, dtype=np.int32) # back-->front-->back
+        azimuth = np.arange(0, 360, 3, dtype=np.int32) # front-->back-->front
         for ele in tqdm.tqdm(elevation):
             for azi in tqdm.tqdm(azimuth):
                 gui.cam.from_angle(ele, azi)
@@ -428,7 +428,7 @@ def main():
                 image = (gui.render_buffer * 255).astype(np.uint8)
                 images.append(image)
         images = np.stack(images, axis=0)
-        # ~6 seconds, 180 frames at 30 fps
+        # ~4 seconds, 120 frames at 30 fps
         imageio.mimwrite(opt.save_video, images, fps=30, quality=8, macro_block_size=1)
     else:
         gui.render()

kiui/vis.py

@@ -39,8 +39,7 @@ def plot_image(*xs, normalize=False, save=False):
     
     Args:
         xs (Sequence[Union[torch.Tensor, numpy.ndarray]]): can be uint8 or float32.
-            [B, 4/3/1, H, W], [B, H, W, 4/3/1], [4/3/1, H, W], [H, W, 4/3/1], [H, W] torch.Tensor
-            [B, H, W, 4/3/1], [B, 4/3/1, H, W], [H, W, 4/3/1], [4/3/1, H, W], [H, W] numpy.ndarray
+            [B, 4/3/1, H, W], [B, H, W, 4/3/1], [4/3/1, H, W], [H, W, 4/3/1], [H, W] torch.Tensor or numpy.ndarray
         normalize (bool, optional): whether to renormalize the image to [0, 1]. Defaults to False.
         save (bool, optional): whether to save the image to current dir (in case the plot cannot be showed, like in vscode remote). Defaults to False.
     """
@@ -90,13 +89,10 @@ def _plot_image(image):
 
 
 def plot_matrix(*xs):
-    """visualize some 2D matrix, different from ``kiui.vis.plot_image``, 
-       this will keep the original range and plot channel-by-channel.
+    """ visualize some 2D matrix, different from ``kiui.vis.plot_image``, this will keep the original range and plot channel-by-channel.
     
     Args:
-        xs (Sequence[Union[torch.Tensor, numpy.ndarray]]): 
-            [B, C, H, W], [C, H, W], or [H, W] torch.Tensor
-            [B, H, W, C], [H, W, C], or [H, W] numpy.ndarray
+        xs (Sequence[Union[torch.Tensor, numpy.ndarray]]): [B, C, H, W], [C, H, W], or [H, W] torch.Tensor or numpy.ndarray
     """
 
     def _plot_matrix(matrix):

setup.py

@@ -3,7 +3,7 @@
 if __name__ == "__main__":
     setup(
         name="kiui",
-        version="0.2.1",
+        version="0.2.2",
         description="A toolkit for 3D vision",
         long_description=open("README.md", encoding="utf-8").read(),
         long_description_content_type="text/markdown",