Module circle_evolution.species
A Specie holds information on how the trained image looks.
A specie is the basis of evolution, the genotype represents how the image looks like, while the phnotype is the image itself.
Expand source code
"""A Specie holds information on how the trained image looks.
A specie is the basis of evolution, the genotype represents how the image looks
like, while the phnotype is the image itself.
"""
import cv2
import numpy as np
class Specie:
"""Specie defitinion for Genetic Algorithm.
Attributes:
size (tuple): tuple containing height and width of generated image (h, w)
genotype (np.ndarray): array containing parameters of the specie.
Each row in the genotype represents a circle. First column represents
y position of circle. Second column represents x position of circle.
Third column represents radius, fourth is color, and last column is
transparency (alpha).
phenotype (np.ndarray): image array of how the specie looks like when
rendered. Call render() before accessing it.
"""
def __init__(self, size, genes=128, genotype=None):
"""Initializes Specie with given size.
Args:
size (tuple): tuple containing height and width of generated image (h, w).
genes (int): number of genes/circle in Specie. Dafaults to 128.
genotype (np.ndarray): optional - initializes Specie with given genotype.
"""
self.size = size
self.genotype = genotype if genotype is not None else np.random.rand(genes, 5)
self.phenotype = np.zeros(size)
@property
def genes(self):
"""Number of genes/circles in current Specie."""
return self.genotype.shape[0]
def render(self):
"""Renders image using the species definition.
Performing the Evolution, this function renders the image for current
iteration given the genotype. After render() is done executing, the
Specie phenotype it set to reflect latest changes in the genotype.
"""
self.phenotype[:, :] = 0
radius_avg = (self.size[0] + self.size[1]) / 2 / 6
for row in self.genotype:
overlay = self.phenotype.copy()
cv2.circle(
overlay,
center=(int(row[1] * self.size[1]), int(row[0] * self.size[0])),
radius=int(row[2] * radius_avg),
color=(int(row[3] * 255)),
thickness=-1,
)
alpha = row[4]
self.phenotype = cv2.addWeighted(overlay, alpha, self.phenotype, 1 - alpha, 0)Classes
class Specie (size, genes=128, genotype=None)-
Specie defitinion for Genetic Algorithm.
Attributes
size:tuple- tuple containing height and width of generated image (h, w)
genotype:np.ndarray- array containing parameters of the specie. Each row in the genotype represents a circle. First column represents y position of circle. Second column represents x position of circle. Third column represents radius, fourth is color, and last column is transparency (alpha).
phenotype:np.ndarray- image array of how the specie looks like when rendered. Call render() before accessing it.
Initializes Specie with given size.
Args
size:tuple- tuple containing height and width of generated image (h, w).
genes:int- number of genes/circle in Specie. Dafaults to 128.
genotype:np.ndarray- optional - initializes Specie with given genotype.
Expand source code
class Specie: """Specie defitinion for Genetic Algorithm. Attributes: size (tuple): tuple containing height and width of generated image (h, w) genotype (np.ndarray): array containing parameters of the specie. Each row in the genotype represents a circle. First column represents y position of circle. Second column represents x position of circle. Third column represents radius, fourth is color, and last column is transparency (alpha). phenotype (np.ndarray): image array of how the specie looks like when rendered. Call render() before accessing it. """ def __init__(self, size, genes=128, genotype=None): """Initializes Specie with given size. Args: size (tuple): tuple containing height and width of generated image (h, w). genes (int): number of genes/circle in Specie. Dafaults to 128. genotype (np.ndarray): optional - initializes Specie with given genotype. """ self.size = size self.genotype = genotype if genotype is not None else np.random.rand(genes, 5) self.phenotype = np.zeros(size) @property def genes(self): """Number of genes/circles in current Specie.""" return self.genotype.shape[0] def render(self): """Renders image using the species definition. Performing the Evolution, this function renders the image for current iteration given the genotype. After render() is done executing, the Specie phenotype it set to reflect latest changes in the genotype. """ self.phenotype[:, :] = 0 radius_avg = (self.size[0] + self.size[1]) / 2 / 6 for row in self.genotype: overlay = self.phenotype.copy() cv2.circle( overlay, center=(int(row[1] * self.size[1]), int(row[0] * self.size[0])), radius=int(row[2] * radius_avg), color=(int(row[3] * 255)), thickness=-1, ) alpha = row[4] self.phenotype = cv2.addWeighted(overlay, alpha, self.phenotype, 1 - alpha, 0)Instance variables
var genes-
Number of genes/circles in current Specie.
Expand source code
@property def genes(self): """Number of genes/circles in current Specie.""" return self.genotype.shape[0]
Methods
def render(self)-
Renders image using the species definition.
Performing the Evolution, this function renders the image for current iteration given the genotype. After render() is done executing, the Specie phenotype it set to reflect latest changes in the genotype.
Expand source code
def render(self): """Renders image using the species definition. Performing the Evolution, this function renders the image for current iteration given the genotype. After render() is done executing, the Specie phenotype it set to reflect latest changes in the genotype. """ self.phenotype[:, :] = 0 radius_avg = (self.size[0] + self.size[1]) / 2 / 6 for row in self.genotype: overlay = self.phenotype.copy() cv2.circle( overlay, center=(int(row[1] * self.size[1]), int(row[0] * self.size[0])), radius=int(row[2] * radius_avg), color=(int(row[3] * 255)), thickness=-1, ) alpha = row[4] self.phenotype = cv2.addWeighted(overlay, alpha, self.phenotype, 1 - alpha, 0)