mirror of
https://github.com/TheAlgorithms/Python.git
synced 2024-11-30 16:31:08 +00:00
5f4da5d616
* updating DIRECTORY.md
* isort --profile black .
* Black after
* updating DIRECTORY.md
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
94 lines
2.8 KiB
Python
94 lines
2.8 KiB
Python
"""
|
|
PyTest's for Digital Image Processing
|
|
"""
|
|
from cv2 import COLOR_BGR2GRAY, cvtColor, imread
|
|
from numpy import array, uint8
|
|
from PIL import Image
|
|
|
|
from digital_image_processing import change_contrast as cc
|
|
from digital_image_processing import convert_to_negative as cn
|
|
from digital_image_processing import sepia as sp
|
|
from digital_image_processing.dithering import burkes as bs
|
|
from digital_image_processing.edge_detection import canny as canny
|
|
from digital_image_processing.filters import convolve as conv
|
|
from digital_image_processing.filters import gaussian_filter as gg
|
|
from digital_image_processing.filters import median_filter as med
|
|
from digital_image_processing.filters import sobel_filter as sob
|
|
from digital_image_processing.resize import resize as rs
|
|
|
|
img = imread(r"digital_image_processing/image_data/lena_small.jpg")
|
|
gray = cvtColor(img, COLOR_BGR2GRAY)
|
|
|
|
|
|
# Test: convert_to_negative()
|
|
def test_convert_to_negative():
|
|
negative_img = cn.convert_to_negative(img)
|
|
# assert negative_img array for at least one True
|
|
assert negative_img.any()
|
|
|
|
|
|
# Test: change_contrast()
|
|
def test_change_contrast():
|
|
with Image.open("digital_image_processing/image_data/lena_small.jpg") as img:
|
|
# Work around assertion for response
|
|
assert str(cc.change_contrast(img, 110)).startswith(
|
|
"<PIL.Image.Image image mode=RGB size=100x100 at"
|
|
)
|
|
|
|
|
|
# canny.gen_gaussian_kernel()
|
|
def test_gen_gaussian_kernel():
|
|
resp = canny.gen_gaussian_kernel(9, sigma=1.4)
|
|
# Assert ambiguous array
|
|
assert resp.all()
|
|
|
|
|
|
# canny.py
|
|
def test_canny():
|
|
canny_img = imread("digital_image_processing/image_data/lena_small.jpg", 0)
|
|
# assert ambiguous array for all == True
|
|
assert canny_img.all()
|
|
canny_array = canny.canny(canny_img)
|
|
# assert canny array for at least one True
|
|
assert canny_array.any()
|
|
|
|
|
|
# filters/gaussian_filter.py
|
|
def test_gen_gaussian_kernel_filter():
|
|
assert gg.gaussian_filter(gray, 5, sigma=0.9).all()
|
|
|
|
|
|
def test_convolve_filter():
|
|
# laplace diagonals
|
|
Laplace = array([[0.25, 0.5, 0.25], [0.5, -3, 0.5], [0.25, 0.5, 0.25]])
|
|
res = conv.img_convolve(gray, Laplace).astype(uint8)
|
|
assert res.any()
|
|
|
|
|
|
def test_median_filter():
|
|
assert med.median_filter(gray, 3).any()
|
|
|
|
|
|
def test_sobel_filter():
|
|
grad, theta = sob.sobel_filter(gray)
|
|
assert grad.any() and theta.any()
|
|
|
|
|
|
def test_sepia():
|
|
sepia = sp.make_sepia(img, 20)
|
|
assert sepia.all()
|
|
|
|
|
|
def test_burkes(file_path: str = "digital_image_processing/image_data/lena_small.jpg"):
|
|
burkes = bs.Burkes(imread(file_path, 1), 120)
|
|
burkes.process()
|
|
assert burkes.output_img.any()
|
|
|
|
|
|
def test_nearest_neighbour(
|
|
file_path: str = "digital_image_processing/image_data/lena_small.jpg",
|
|
):
|
|
nn = rs.NearestNeighbour(imread(file_path, 1), 400, 200)
|
|
nn.process()
|
|
assert nn.output.any()
|