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41 lines
1.5 KiB
Python
41 lines
1.5 KiB
Python
from manim import *
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from matplotlib import animation
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from manim_ml.neural_network.layers.parent_layers import VGroupNeuralNetworkLayer
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class Convolutional2DLayer(VGroupNeuralNetworkLayer):
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def __init__(self, feature_map_height, feature_map_width, filter_width, filter_height,
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stride=1, cell_width=0.5, feature_map_color=BLUE, filter_color=ORANGE,
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**kwargs):
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super(VGroupNeuralNetworkLayer, self).__init__(**kwargs)
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self.feature_map_height = feature_map_height
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self.feature_map_width = feature_map_width
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self.filter_width = filter_width
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self.filter_height = filter_height
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self.feature_map_color = feature_map_color
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self.filter_color = filter_color
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self.stride = stride
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self.cell_width = cell_width
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# Construct the input
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self.construct_feature_map()
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def construct_feature_map(self):
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"""Makes feature map"""
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# Make feature map rectangle
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self.feature_map = Rectangle(
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width=self.feature_map_width * self.cell_width,
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height=self.feature_map_height * self.cell_width,
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color=self.feature_map_color,
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grid_xstep=self.cell_width,
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grid_ystep=self.cell_width
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)
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self.add(self.feature_map)
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@override_animation(Create)
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def _create_override(self, **kwargs):
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return FadeIn(self.feature_map)
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def make_forward_pass_animation(self, **kwargs):
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"""Make feed forward animation"""
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return AnimationGroup() |