def test_conversion_vox_png():
img = Image.fromVox("tests/data/test_img.vox")
img.exportAsPng("tests/data/test_img.png")
img_test = Image.fromPng("tests/data/test_img.png")
assert np.alltrue(img_test == img)
def test_pgm_vox():
img = Image.fromPgm("tests/data/test_img.pgm")
img.exportAsVox("tests/data/test_img.vox")
img_test = Image.fromVox("tests/data/test_img.vox")
assert np.alltrue(img_test == img)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("-fun", "--fun", type=str, required=True)
parser.add_argument('-model', "--model", type=str, required=True)
parser.add_argument('-ti', "--ti", type=str, required=True)
parser.add_argument('-output', "--output", type=str, default="output.csv")
parser.add_argument("-n-samples", "--n-samples", type=int, default=100)
parser.add_argument("-n-ti", "--n-ti", type=int, default=100)
args = parser.parse_args()
model = GAN(args.model)
if ".vox" in args.ti:
ti = Image.fromVox(args.ti)
elif ".gslib" in args.ti:
ti = Image.fromGslib(args.ti)
ti.threshold(thresholds=[1], values=[0, 1])
ti = ti.asArray()
if args.fun == "conn":
stat_fun = mpstool.connectivity.get_function
elif args.fun == "vario":
stat_fun = mpstool.stats.variogram
else:
raise Exception(
"argument -fun not recognized. Should be 'conn' or 'vario' ")
# Read connectivity for the TI : min and max of values
