mirror of
https://github.com/helblazer811/ManimML.git
synced 2025-05-21 20:46:03 +08:00
65 lines
2.0 KiB
Python
65 lines
2.0 KiB
Python
from manim import *
|
|
from manim_ml.neural_network.layers.parent_layers import NeuralNetworkLayer
|
|
from manim_ml.image import GrayscaleImageMobject, LabeledColorImage
|
|
import numpy as np
|
|
|
|
class PairedQueryLayer(NeuralNetworkLayer):
|
|
"""Paired Query Layer"""
|
|
|
|
def __init__(self, positive, negative, stroke_width=5, **kwargs):
|
|
super().__init__(**kwargs)
|
|
self.positive = positive
|
|
self.negative = negative
|
|
|
|
self.stroke_width = stroke_width
|
|
# Make the assets
|
|
self.assets = self.make_assets()
|
|
self.add(self.assets)
|
|
|
|
@classmethod
|
|
def from_paths(cls, positive_path, negative_path, grayscale=True):
|
|
"""Creates a query using the paths"""
|
|
# Load images from path
|
|
if grayscale:
|
|
positive = GrayscaleImageMobject.from_path(positive_path)
|
|
negative = GrayscaleImageMobject.from_path(negative_path)
|
|
else:
|
|
positive = ImageMobject(positive_path)
|
|
negative = ImageMobject(negative_path)
|
|
# Make the layer
|
|
query_layer = cls(positive, negative)
|
|
|
|
return query_layer
|
|
|
|
def make_assets(self):
|
|
"""
|
|
Constructs the assets needed for a query layer
|
|
"""
|
|
# Handle positive
|
|
positive_group = LabeledColorImage(
|
|
self.positive,
|
|
color=GREEN,
|
|
label="Positive",
|
|
stroke_width=self.stroke_width
|
|
)
|
|
# Handle negative
|
|
negative_group = LabeledColorImage(
|
|
self.negative,
|
|
color=RED,
|
|
label="Negative",
|
|
stroke_width=self.stroke_width
|
|
)
|
|
# Distribute the groups uniformly vertically
|
|
assets = Group(positive_group, negative_group)
|
|
assets.arrange(DOWN, buff=1.5)
|
|
|
|
return assets
|
|
|
|
@override_animation(Create)
|
|
def _create_layer(self):
|
|
# TODO make Create animation that is custom
|
|
return FadeIn(self.assets)
|
|
|
|
def make_forward_pass_animation(self):
|
|
"""Forward pass for query"""
|
|
return AnimationGroup() |