-
Notifications
You must be signed in to change notification settings - Fork 0
/
histogram.go
226 lines (200 loc) · 5.57 KB
/
histogram.go
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
package main
import (
"bufio"
"errors"
"fmt"
"image"
_ "image/jpeg"
_ "image/png"
"io/ioutil"
"log"
"math/rand"
"os"
"sort"
"strconv"
"strings"
"sync"
)
// // NoAurora = -1, Unsure = 0, Aurora = 1
// on closer rereading: NoAurora = 0, Aurora = 1
const (
NoAurora int = iota
// Unsure
Aurora
)
// Directory holds a directory and a classification to assign to the images in that directory
type Directory struct {
DirectoryName string
Classification int
}
// Histogram holds the image color data and classification, as well as filename for debugging purposes
type Histogram struct {
FileName string
Data []float64
Min float64
Max float64
Classification int
}
// Stringify returns a string representation of the histogram as specified in the assignment
func (hist Histogram) Stringify() string {
return strconv.Itoa(hist.Classification) + " " + strings.Trim(fmt.Sprintf("%0.10f", hist.Data), "[]") + " " + hist.FileName
}
func runHistogram() {
histograms := []Histogram{}
directories := []Directory{
{
DirectoryName: "./images/aurora",
Classification: Aurora,
},
{
DirectoryName: "./images/noaurora",
Classification: NoAurora,
},
// {
// DirectoryName: "./images/unsure",
// Classification: Unsure,
// },
}
for _, directory := range directories {
files, err := ioutil.ReadDir(directory.DirectoryName)
if err != nil {
log.Fatal(err)
}
tempHistograms := make([]Histogram, len(files))
badImports := make([]int, len(files))
var wg sync.WaitGroup
wg.Add(len(files))
for index, file := range files {
go func(index int, fileName string) {
values, min, max, err := generateHistogram(directory.DirectoryName + "/" + fileName)
if err == nil {
tempHistograms[index] = Histogram{
FileName: fileName,
Classification: directory.Classification,
Data: values,
Min: min,
Max: max,
}
badImports[index] = -1
} else {
badImports[index] = 1
}
wg.Done()
}(index, file.Name())
}
// resync threads
wg.Wait()
// get rid of files in the directory that didn't import correctly
for index, value := range badImports {
if value == 1 {
tempHistograms = append(tempHistograms[:index], tempHistograms[index+1:]...)
}
}
histograms = append(histograms, tempHistograms...)
}
globalMin := 999999999.0
globalMax := 0.0
for _, histogram := range histograms {
if histogram.Min < globalMin {
globalMin = histogram.Min
}
if histogram.Max > globalMax {
globalMax = histogram.Max
}
}
histogramsSerialized := ""
for _, histogram := range histograms {
normalizedData := make([]float64, len(histogram.Data))
for i := 0; i < len(histogram.Data); i++ {
normalizedData[i] = (histogram.Data[i] - globalMin) / (globalMax - globalMin)
}
histogram.Data = normalizedData
histogramsSerialized += histogram.Stringify() + "\n"
}
f, err := os.Create("histograms.dat")
defer f.Close()
if err != nil {
panic("could not write output file.")
}
f.WriteString(histogramsSerialized)
fmt.Println("Finished processing histograms. Saved as histograms.dat")
}
//generateHistogram returns the histogram data, the min value, and the max value (for normalization)
func generateHistogram(fileName string) ([]float64, float64, float64, error) {
file, err := os.Open(fileName)
defer file.Close()
if err != nil {
panic("I just saw this file and now I can't open it")
}
img, _, err := image.Decode(file)
if err != nil {
// panic("couldn't decode this image! " + err.Error())
return nil, 0.0, 0.0, errors.New("decode error")
}
rect := img.Bounds()
r := make([]float64, 256)
g := make([]float64, 256)
b := make([]float64, 256)
for i := 0; i < rect.Max.X; i++ {
for j := 0; j < rect.Max.Y; j++ {
rCurrent, gCurrent, bCurrent, _ := img.At(i, j).RGBA()
r[rCurrent/256]++
g[gCurrent/256]++
b[bCurrent/256]++
}
}
result := append(append(r, g...), b...)
tempSorted := make([]float64, len(result))
copy(tempSorted, result)
sort.Float64s(tempSorted)
return result, tempSorted[0], tempSorted[len(tempSorted)-1], nil
}
func loadHistograms(fileName string) []Histogram {
file, err := os.Open(fileName)
if err != nil {
log.Fatal(err)
}
defer file.Close()
histogramImport := []string{}
scanner := bufio.NewScanner(file)
for scanner.Scan() {
histogramImport = append(histogramImport, scanner.Text())
}
if err := scanner.Err(); err != nil {
log.Fatal(err)
}
histograms := make([]Histogram, len(histogramImport))
// let's put those strings back into Histogram structs...
var wg sync.WaitGroup
wg.Add(len(histogramImport)) // expect len(histogramImport) number of threads to complete data load
for index, hist := range histogramImport {
go func(index int, hist string) {
splittingMeSoftly := strings.Split(hist, " ")
class, _ := strconv.Atoi(splittingMeSoftly[0])
data := []float64{}
for _, str := range splittingMeSoftly[1:768] {
parseley, _ := strconv.ParseFloat(str, 64)
data = append(data, parseley)
}
newHistogram := Histogram{
Classification: class,
Data: data,
FileName: strings.Join(splittingMeSoftly[769:], " "),
}
histograms[index] = newHistogram
wg.Done()
}(index, hist)
}
// resync all loader threads
wg.Wait()
fmt.Printf("%s loaded and deserialized into %d histograms.\n", os.Args[2], len(histograms))
return histograms
}
func shuffleHistograms(input []Histogram) []Histogram {
output := make([]Histogram, len(input))
perm := rand.Perm(len(input))
for index, rand := range perm {
output[rand] = input[index]
}
return output
}