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main.go
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main.go
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package main
import (
"fmt"
"grapher/cuda"
. "grapher/floatLine"
. "grapher/imgFile"
"math"
"math/rand"
)
const (
POPULATION_SIZE = 10
EPOCH_COUNT = 500000
SELECTION_LEVEL = 0.6
LINE_VALUE = 0.35 //0.35 //интенсивность линии
)
var (
LINE_COUNT = 960 * 6
MUTATION_LEVEL = float32(0.0005)
BASE_LENGTH = float32(18.)
)
func main() {
//открыть целевое изображение
targetImg, _ := NewImgFloat32(LoadImg("marlin.jpg"))
W, H := targetImg.Width(), targetImg.Height()
LINE_COUNT = int(float32(W*H)/BASE_LENGTH/2./LINE_VALUE) / 1024 * 1024
//инициализация целевого изображения на GPU
cuda.InitImageOnCuda(targetImg, LINE_COUNT, LINE_VALUE)
defer cuda.DestroyImageOnCuda()
//Создать популяцию
m_population := MakePopulation()
//Заполнить популяцию случайными линиями
for i := 0; i < POPULATION_SIZE; i++ {
m_population.AddIndivid(NewIndividGenerate(uint(LINE_COUNT), W, H, BASE_LENGTH))
}
//оценить популяцию
m_population.UpdateEstimate()
for epoch := 0; epoch < EPOCH_COUNT; epoch++ {
//селекционный отбор в популяции
m_population.KillFewWorseIndivids(SELECTION_LEVEL)
//воспроизведение популяции. скрещевание
m_population.ReproduceTo(POPULATION_SIZE, MUTATION_LEVEL)
//оценить популяцию
m_population.UpdateEstimate()
//обработка промежуточных результатов
bestIndivid, bestEstimate := m_population.BestIndivide()
fmt.Println(
"Epoch: ", epoch,
"Err:", bestEstimate,
"mutation:", MUTATION_LEVEL,
"population_Size:", m_population.CountOfIndivids(),
"line count", LINE_COUNT,
)
if epoch%100 == 0 {
result := drawIndivide(W, H, bestIndivid)
name := fmt.Sprintf("out/%d.jpg", epoch)
//name := "out/out.jpg"
SaveImg(result.Image(), name)
SaveImg(result.Image(), "out.jpg")
}
}
resultImg, _ := NewImgFloat32Blank(W, H)
SaveImg(resultImg.Image(), "out.jpeg")
}
func drawIndivide(w, h uint, ind *individ) *ImgFloat32 {
return cuda.DrawImageOnCuda(ind.lines)
}
type individ struct {
lines *LineFloatArray
}
func NewIndividGenerate(count, w, h uint, base_length float32) *individ {
i := new(individ)
i.lines = GenerateRandomLineFloatArray(int(w), int(h), int(count), base_length)
return i
}
func ReproducIndivid(parent1, parent2 *individ) *individ {
i := new(individ)
i.lines = ReproduceLineFloatArray(parent1.lines, parent2.lines)
return i
}
func (i *individ) Estimate() float32 {
return cuda.EstimateLinesOnCuda(i.lines)
}
type population struct {
individs map[*individ]float32
}
func MakePopulation() population {
var p population
p.individs = make(map[*individ]float32)
return p
}
func (p *population) AddIndivid(i *individ) {
if i == nil {
panic("individ is nil")
}
p.individs[i] = float32(math.Inf(1))
}
func (p *population) UpdateEstimate() {
for individ, _ := range p.individs {
p.individs[individ] = individ.Estimate()
}
}
func (p *population) BestIndivide() (*individ, float32) {
var result *individ
resultEstimate := float32(math.Inf(1))
for individ, estimate := range p.individs {
if estimate < resultEstimate {
result = individ
resultEstimate = estimate
}
}
return result, resultEstimate
}
func (p *population) WorseIndivide() *individ {
var result *individ
resultEstimate := float32(0.)
for individ, estimate := range p.individs {
if estimate > resultEstimate {
result = individ
resultEstimate = estimate
}
}
return result
}
func (p *population) killIndivid(i *individ) {
_, ok := p.individs[i]
if ok {
delete(p.individs, i)
}
}
func (p *population) CountOfIndivids() int {
return len(p.individs)
}
func (p *population) KillFewWorseIndivids(proportion float32) {
count := int(float32(p.CountOfIndivids()) * proportion)
for i := 0; i < count && p.CountOfIndivids() > 2; i++ {
p.killIndivid(p.WorseIndivide())
}
}
func (p *population) RandomIndivid() *individ {
number := rand.Intn(p.CountOfIndivids())
i := 0
for individ, _ := range p.individs {
if i == number {
return individ
}
i++
}
panic("not found individ")
}
func (p *population) ReproduceTo(number int, mutation float32) {
parent_popuplation := MakePopulation()
parent_popuplation.individs = p.individs
newPopulation := MakePopulation()
for newPopulation.CountOfIndivids() < number-parent_popuplation.CountOfIndivids() {
parent_individ_1 := parent_popuplation.RandomIndivid()
parent_popuplation.killIndivid(parent_individ_1)
parent_individ_2 := parent_popuplation.RandomIndivid()
parent_popuplation.AddIndivid(parent_individ_1)
child_individ := ReproducIndivid(parent_individ_1, parent_individ_2)
newPopulation.AddIndivid(child_individ)
}
newPopulation.Mutation(mutation)
for individ, _ := range newPopulation.individs {
p.AddIndivid(individ)
}
}
func (p *population) Mutation(mutation float32) {
for individ, _ := range p.individs {
individ.lines.Mutate(mutation)
}
}