ctf-resources/thm/aoc23/day16/labels.py

36 lines
697 B
Python
Raw Normal View History

2024-07-03 21:06:15 +02:00
#!/usr/bin/env python3
import glob
from sklearn.model_selection import train_test_split
data = glob.glob("../raw_data/*.png")
print(data)
dataset = []
labels = []
for item in data:
label = item.split('/')[1].replace(".png","") #dataset/32154.png
labels.append(label)
dataset.append(item)
train_X, validate_X, train_y, validate_y = train_test_split(dataset, labels, test_size=0.2)
f = open('training.txt', 'w')
count = 0
for count in range(len(train_X)):
f.write(train_X[count] + " " + train_y[count] + "\n")
f.close()
count = 0
f = open('testing.txt', 'w')
for count in range(len(validate_X)):
f.write(validate_X[count] + " " + validate_y[count] + "\n")
f.close()