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convert_gt2annotations.py
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convert_gt2annotations.py
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import os
import numpy as np
from scipy import misc
from cv2 import imread, imwrite
# from PIL import Image
ground_truth_path = "../ISPRS_semantic_labeling_Vaihingen/gts_for_participants"
annotaions_path = "../ISPRS_semantic_labeling_Vaihingen/annotations"
# high = 4
for filename in os.listdir(ground_truth_path):
# image = misc.imread(os.path.join(ground_truth_path, filename))
image = imread(os.path.join(ground_truth_path, filename))
annotation_image=np.zeros((np.shape(image)[0], np.shape(image)[1]))
for i in range(np.shape(image)[0]):
for j in range(np.shape(image)[1]):
if np.array_equal(image[i, j, :], np.array([255, 255, 255])):
# Impervious surfaces (RGB: 255, 255, 255)
annotation_image[i, j] = 0
elif np.array_equal(image[i,j,:],np.array([0, 0, 255])):
# Building (RGB: 0, 0, 255)
annotation_image[i, j] = 1
elif np.array_equal(image[i,j,:],np.array([0, 255, 255])):
# Low vegetation (RGB: 0, 255, 255)
annotation_image[i, j] = 2
elif np.array_equal(image[i,j,:],np.array([0, 255, 0])):
# Tree (RGB: 0, 255, 0)
annotation_image[i, j] = 3
elif np.array_equal(image[i,j,:],np.array([255, 255, 0])):
# Car (RGB: 255, 255, 0)
annotation_image[i, j] = 4
else:
# Clutter/background (RGB: 255, 0, 0)
# high = 5
annotation_image[i, j] = 5
annotation_filename = os.path.splitext(filename)[0]
print(">> Processing", annotation_image)
# misc.toimage(annotation_image, high = high, low=0).save(os.path.join(annotaions_path, annotation_filename + ".png"))
imwrite(os.path.join(annotaions_path, annotation_filename + ".png"), annotation_image)
# Image.fromarray(annotation_image).save(os.path.join(annotaions_path, annotation_filename + ".png"))
print('Done!')