mirror of
https://github.com/helblazer811/ManimML.git
synced 2025-05-17 18:55:54 +08:00
93 lines
2.8 KiB
Python
93 lines
2.8 KiB
Python
from manim import *
|
|
from manim_ml.neural_network.layers import FeedForwardLayer, ImageLayer, EmbeddingLayer
|
|
from manim_ml.neural_network.neural_network import NeuralNetwork
|
|
from PIL import Image
|
|
import numpy as np
|
|
|
|
config.pixel_height = 720
|
|
config.pixel_width = 1280
|
|
config.frame_height = 6.0
|
|
config.frame_width = 6.0
|
|
|
|
class VAECodeSnippetScene(Scene):
|
|
|
|
def make_code_snippet(self):
|
|
code_str = """
|
|
# Make image object
|
|
image = Image.open('images/image.jpeg')
|
|
numpy_image = np.asarray(image)
|
|
# Make Neural Network
|
|
nn = NeuralNetwork([
|
|
ImageLayer(numpy_image, height=1.2),
|
|
FeedForwardLayer(5),
|
|
FeedForwardLayer(3),
|
|
EmbeddingLayer(),
|
|
FeedForwardLayer(3),
|
|
FeedForwardLayer(5),
|
|
ImageLayer(numpy_image, height=1.2),
|
|
], layer_spacing=0.1)
|
|
self.add(nn)
|
|
# Play animation
|
|
self.play(
|
|
nn.make_forward_pass_animation()
|
|
)
|
|
"""
|
|
|
|
code = Code(
|
|
code = code_str,
|
|
tab_width=4,
|
|
background_stroke_width=1,
|
|
# background_stroke_color=WHITE,
|
|
insert_line_no=False,
|
|
background="window",
|
|
# font="Monospace",
|
|
style='one-dark',
|
|
language="py",
|
|
)
|
|
code.scale(0.2)
|
|
|
|
return code
|
|
|
|
def construct(self):
|
|
image = Image.open('../../tests/images/image.jpeg')
|
|
numpy_image = np.asarray(image)
|
|
embedding_layer = EmbeddingLayer(dist_theme="ellipse", point_radius=0.04).scale(1.0)
|
|
# Make nn
|
|
nn = NeuralNetwork([
|
|
ImageLayer(numpy_image, height=1.0),
|
|
FeedForwardLayer(5),
|
|
FeedForwardLayer(3),
|
|
embedding_layer,
|
|
FeedForwardLayer(3),
|
|
FeedForwardLayer(5),
|
|
ImageLayer(numpy_image, height=1.0),
|
|
], layer_spacing=0.1)
|
|
|
|
nn.scale(0.65)
|
|
# Center the nn
|
|
nn.move_to(ORIGIN)
|
|
nn.rotate(-PI/2)
|
|
nn.all_layers[0].image_mobject.rotate(PI/2)
|
|
# nn.all_layers[0].image_mobject.shift([0, -0.4, 0])
|
|
nn.all_layers[-1].image_mobject.rotate(PI/2)
|
|
# nn.all_layers[-1].image_mobject.shift([0, -0.4, 0])
|
|
nn.shift([1.5, 0.0, 0])
|
|
self.add(nn)
|
|
# Make code snippet
|
|
code_snippet = self.make_code_snippet()
|
|
code_snippet.scale(1.9)
|
|
code_snippet.shift([-1.25, 0, 0])
|
|
self.add(code_snippet)
|
|
# Play animation
|
|
self.play(
|
|
nn.make_forward_pass_animation(),
|
|
run_time=10
|
|
)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
"""Render all scenes"""
|
|
# Neural Network
|
|
nn_scene = VAECodeSnippetScene()
|
|
nn_scene.render()
|