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BoundingBoxAugmenters_test.py
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"""
package: Images2Dataset
class: DataAugmentation
Author: Rodrigo Loza
Description: Test class for data augmentation.
"""
# Libraries
import unittest
import math
import numpy as np
import cv2
from BoundingBoxAugmenters import *
from ImageAnnotation import *
from VectorOperations import *
class BoundingBoxAugmenters_test(unittest.TestCase):
def setUp(self):
img_path = os.path.join(os.getcwd(), "tests/cars_dataset/images/cars0.png")
annotation_path = os.path.join(os.getcwd(), "tests/cars_dataset/annotations/xmls/cars0.xml")
assert os.path.isfile(img_path)
assert os.path.isfile(annotation_path)
# Image
self.frame = cv2.imread(img_path)
self.annotation = annotation_path
imgAnt = ImageAnnotation(path = self.annotation)
self.bndboxes = imgAnt.propertyBoundingBoxes
self.names = imgAnt.propertyNames
# Augmenters
self.augmenter = BoundingBoxAugmenters()
# Testing options
self.visualize = True
self.waitTime = 1000
self.windowSize = (800, 800)
def tearDown(self):
pass
def test_scale(self):
# Prepare data
frame = np.zeros([200, 200, 3])
boundingBoxes = [[100, 100, 150, 150]]
# Reduce test
size = (100, 100)
scaled_frame, bndboxes = self.augmenter.scale(frame = frame,
boundingBoxes = boundingBoxes,
size = size,
interpolationMethod = 2)
self.assertEqual(scaled_frame.shape[0], 100)
self.assertEqual(scaled_frame.shape[1], 100)
self.assertAlmostEqual(bndboxes[0][0], 50)
self.assertAlmostEqual(bndboxes[0][1], 50)
self.assertAlmostEqual(bndboxes[0][2], 75)
self.assertAlmostEqual(bndboxes[0][3], 75)
# Increase test
boundingBoxes = [[100, 100, 150, 150]]
size = (500, 500)
scaled_frame, bndboxes = self.augmenter.scale(frame = frame,
boundingBoxes = boundingBoxes,
size = size,
interpolationMethod = 2)
self.assertEqual(scaled_frame.shape[0], 500)
self.assertEqual(scaled_frame.shape[1], 500)
# Assert coordinates are equal for at least 10 units
self.assertAlmostEqual(np.abs(bndboxes[0][0] - 250)//10, 0)
self.assertAlmostEqual(np.abs(bndboxes[0][1] - 250)//10, 0)
self.assertAlmostEqual(np.abs(bndboxes[0][2] - 375)//10, 0)
self.assertAlmostEqual(np.abs(bndboxes[0][3] - 375)//10, 0)
# Stretch test
boundingBoxes = [[100, 100, 150, 150]]
size = (400, 200)
scaled_frame, bndboxes = self.augmenter.scale(frame = frame,
boundingBoxes = boundingBoxes,
size = size,
interpolationMethod = 2)
self.assertEqual(scaled_frame.shape[0], 200)
self.assertEqual(scaled_frame.shape[1], 400)
self.assertAlmostEqual(bndboxes[0][0], 200)
self.assertAlmostEqual(bndboxes[0][1], 100)
self.assertAlmostEqual(bndboxes[0][2], 300)
self.assertAlmostEqual(bndboxes[0][3], 150)
# Visual test
if (self.visualize):
frame = self.frame.copy()
scaled_frame, bndboxes = self.augmenter.scale(frame = frame,
boundingBoxes = self.bndboxes,
size = (140, 140),
interpolationMethod = 1)
for each in bndboxes:
ix, iy, x, y = each
scaled_frame = cv2.rectangle(scaled_frame, (ix, iy), (x, y), (0,0,255), 3)
cv2.namedWindow("__scaled__", 0)
# cv2.resizeWindow("__scaled__", self.windowSize);
cv2.imshow("__scaled__", scaled_frame)
cv2.waitKey(self.waitTime)
cv2.destroyAllWindows()
def test_crop(self):
# Prepare data
boundingBoxes = [[100, 100, 150, 150]]
size = (0.1, 0.1)
# Apply transformation
boundingBoxes = self.augmenter.crop(boundingBoxes = boundingBoxes,
size = size)
# print(boundingBoxes)
# Assert values
for i in range(len(boundingBoxes)):
ix, iy, x, y = boundingBoxes[i]
# print(ix, iy, x, y)
# Assert coordinates' positions
self.assertGreaterEqual(ix, boundingBoxes[0][0])
self.assertGreaterEqual(iy, boundingBoxes[0][1])
self.assertLessEqual(x, boundingBoxes[0][2])
self.assertLessEqual(y, boundingBoxes[0][3])
# Visual test
if (self.visualize):
localbnxboxes = self.bndboxes
for i in range(2):
frame = self.frame.copy()
bndboxes = self.augmenter.crop(boundingBoxes = localbnxboxes,
size = (0.5,0.5))
for each in bndboxes:
ix, iy, x, y = each
frame = cv2.rectangle(frame, (ix, iy), (x, y), (0,0,255), 2)
cv2.namedWindow("__crop__", 0)
# cv2.resizeWindow("__crop__", self.windowSize);
cv2.imshow("__crop__", frame)
cv2.waitKey(self.waitTime)
cv2.destroyAllWindows()
def test_pad(self):
# Prepare data
boundingBoxes = [[100, 100, 150, 150]]
size = (50, 50)
# Apply transformation
boundingBoxes = self.augmenter.pad(boundingBoxes = boundingBoxes,
frameHeight = 200,
frameWidth = 200,
size = size)
# print(boundingBoxes)
self.assertLessEqual(boundingBoxes[0][0], 100)
self.assertLessEqual(boundingBoxes[0][1], 100)
self.assertGreaterEqual(boundingBoxes[0][2], 150)
self.assertGreaterEqual(boundingBoxes[0][3], 150)
# Visual test
if (self.visualize):
frame = self.frame.copy()
bndboxes = self.augmenter.pad(frameHeight = self.frame.shape[0],
frameWidth = self.frame.shape[1],
boundingBoxes = self.bndboxes,
size = (25, 25))
for each in bndboxes:
ix, iy, x, y = each
frame = cv2.rectangle(frame, (ix, iy), (x, y), (0,0,255), 2)
cv2.namedWindow("__padding__", 0)
# cv2.resizeWindow("__padding__", self.windowSize);
cv2.imshow("__padding__", frame)
cv2.waitKey(self.waitTime)
cv2.destroyAllWindows()
def test_jitter_boxes(self):
if (self.visualize):
frame = self.augmenter.jitterBoxes(frame = self.frame,
boundingBoxes = self.bndboxes,
size = (20,20),
quantity = 20)
cv2.namedWindow("__jitterBoxes__", 0)
# cv2.resizeWindow("__jitterBoxes__", self.windowSize);
cv2.imshow("__jitterBoxes__", frame)
cv2.waitKey(self.waitTime)
cv2.destroyAllWindows()
def test_horizontal_flip(self):
if (self.visualize):
# Perform horizontal flip.
frame = self.augmenter.horizontalFlip(frame = self.frame.copy(),
boundingBoxes = self.bndboxes)
# Visualization.
cv2.namedWindow("__horizontalFlip__", 0)
# cv2.resizeWindow("__horizontalFlip__", self.windowSize);
cv2.imshow("__horizontalFlip__", frame)
cv2.waitKey(self.waitTime)
cv2.destroyAllWindows()
def test_vertical_flip(self):
if (self.visualize):
# Perform horizontal flip.
frame = self.augmenter.verticalFlip(frame = self.frame.copy(),
boundingBoxes = self.bndboxes)
# Visualization.
cv2.namedWindow("__verticalFlip__", 0)
# cv2.resizeWindow("__verticalFlip__", self.windowSize);
cv2.imshow("__verticalFlip__", frame)
cv2.waitKey(self.waitTime)
cv2.destroyAllWindows()
def test_rotation(self):
if (self.visualize):
theta = 0
for i in range(10):
frame = self.augmenter.rotation(frame = self.frame,
boundingBoxes = self.bndboxes,
theta = theta)
theta += 0.3
cv2.namedWindow("__rotation__", 0)
# cv2.resizeWindow("__rotation__", self.windowSize);
cv2.imshow("__rotation__", frame)
cv2.waitKey(250)
cv2.destroyAllWindows()
def test_dropout(self):
if (self.visualize):
frame = self.augmenter.dropout(frame = self.frame,
boundingBoxes = self.bndboxes,
size = (25,25),
threshold = 0.5)
cv2.namedWindow("__dropout__", 0)
# cv2.resizeWindow("__dropout__", self.windowSize);
cv2.imshow("__dropout__", frame)
cv2.waitKey(self.waitTime)
cv2.destroyAllWindows()
def test_rotation_equations(self):
x, y, theta = 10, 10, math.pi / 2
x, y = VectorOperations.rotation_equations(x, y, theta)
self.assertEqual(x, -10)
self.assertEqual(y, 10)
if __name__ == "__main__":
unittest.main()