def get_pix_2_mm(file):
im = images.read_img(file)
# crop_result = images.crop_polygon(im)
# p = crop_result.points
# pixel_distance = sqrt((p[1, 0]-p[0, 0])**2 + (p[1, 1]-p[0, 1])**2)
pixel_distance = 823
mm_distance = 215
print(f"pixel distance: {pixel_distance}")
return mm_distance/pixel_distance
def test_circle_image(self):
filepath = os.path.join(data_dir, "maxresdefault.jpg")
im = images.read_img(filepath)
images.OpeningGui(im)
def test(self):
filepath = os.path.join(data_dir, "maxresdefault.jpg")
im = images.read_img(filepath, True)
images.ContoursGui(im)
def test(self):
filepath = os.path.join(data_dir, "maxresdefault.jpg")
im = images.read_img(filepath, True)
images.AdaptiveThresholdGui(im)
def test_circle_grayscale_image(self):
print('GRAY')
filepath = os.path.join(data_dir, "maxresdefault.jpg")
im = images.read_img(filepath, True)
images.CircleGui(im, rmax=500)
print('Finished')
def test(self):
filepath = os.path.join(data_dir, "maxresdefault.jpg")
im = images.read_img(filepath)
im = images.rotate(im, 90)
images.display(im)
def test_read_jpg(self):
filepath = os.path.join(data_dir, "SampleImage.jpg")
# filepath = pkg_resources.resource_filename(__name__, path)
im = images.read_img(filepath)
self.assertTrue(type(im) == np.ndarray)
self.assertTrue(np.shape(im)[2] == 3)
def test_read_jpg_grayscale(self):
filepath = os.path.join(data_dir, "SampleImage.jpg")
im = images.read_img(filepath, grayscale=True)
self.assertTrue(len(np.shape(im))==2)
