mirror of
https://github.com/helblazer811/ManimML.git
synced 2025-05-18 03:05:23 +08:00
66 lines
2.0 KiB
Python
66 lines
2.0 KiB
Python
from manim import *
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from manim_ml.image import GrayscaleImageMobject
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from manim_ml.neural_network.layers.parent_layers import NeuralNetworkLayer
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from PIL import Image
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class ImageLayer(NeuralNetworkLayer):
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"""Single Image Layer for Neural Network"""
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def __init__(self, numpy_image, height=1.5, show_image_on_create=True, **kwargs):
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super().__init__(**kwargs)
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self.numpy_image = numpy_image
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self.show_image_on_create = show_image_on_create
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if len(np.shape(self.numpy_image)) == 2:
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# Assumed Grayscale
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self.num_channels = 1
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self.image_mobject = GrayscaleImageMobject(self.numpy_image, height=height)
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elif len(np.shape(self.numpy_image)) == 3:
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# Assumed RGB
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self.num_channels = 3
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self.image_mobject = ImageMobject(self.numpy_image).scale_to_fit_height(
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height
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)
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self.add(self.image_mobject)
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@classmethod
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def from_path(cls, image_path, grayscale=True, **kwargs):
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"""Creates a query using the paths"""
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# Load images from path
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image = Image.open(image_path)
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numpy_image = np.asarray(image)
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# Make the layer
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image_layer = cls(numpy_image, **kwargs)
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return image_layer
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@override_animation(Create)
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def _create_override(self, **kwargs):
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debug_mode = False
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if debug_mode:
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return FadeIn(SurroundingRectangle(self.image_mobject))
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if self.show_image_on_create:
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return FadeIn(self.image_mobject)
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else:
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return AnimationGroup()
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def make_forward_pass_animation(self, layer_args={}, **kwargs):
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return AnimationGroup()
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# def move_to(self, location):
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# """Override of move to"""
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# self.image_mobject.move_to(location)
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def get_right(self):
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"""Override get right"""
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return self.image_mobject.get_right()
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@property
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def width(self):
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return self.image_mobject.width
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@property
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def height(self):
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return self.image_mobject.height
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