from manim import * 
from PIL import Image

from manim_ml.neural_network.layers.convolutional_2d import Convolutional2DLayer
from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer
from manim_ml.neural_network.layers.image import ImageLayer
from manim_ml.neural_network.neural_network import NeuralNetwork

class ConvolutionalNetworkScene(Scene):

    def construct(self):
        # Make nn
        nn = NeuralNetwork([
                Convolutional2DLayer(1, 7, 3, filter_spacing=0.32),
                Convolutional2DLayer(3, 5, 3, filter_spacing=0.32),
                Convolutional2DLayer(5, 3, 3, filter_spacing=0.18),
                FeedForwardLayer(3),
                FeedForwardLayer(3),
            ],
            layer_spacing=0.25,
        )
        # Center the nn
        nn.move_to(ORIGIN)
        self.add(nn)
        self.play(nn.make_forward_pass_animation())