Create test_image.py

DataAnnotation/labelme/tests/labelme_tests/utils_tests/test_image.py

+import os.path as osp
+
+import numpy as np
+import PIL.Image
+
+from labelme.utils import image as image_module
+
+from .util import data_dir
+from .util import get_img_and_data
+
+
+def test_img_b64_to_arr():
+    img, _ = get_img_and_data()
+    assert img.dtype == np.uint8
+    assert img.shape == (907, 1210, 3)
+
+
+def test_img_arr_to_b64():
+    img_file = osp.join(data_dir, 'apc2016_obj3.jpg')
+    img_arr = np.asarray(PIL.Image.open(img_file))
+    img_b64 = image_module.img_arr_to_b64(img_arr)
+    img_arr2 = image_module.img_b64_to_arr(img_b64)
+    np.testing.assert_allclose(img_arr, img_arr2)
+
+
+def test_img_data_to_png_data():
+    img_file = osp.join(data_dir, 'apc2016_obj3.jpg')
+    with open(img_file, 'rb') as f:
+        img_data = f.read()
+    png_data = image_module.img_data_to_png_data(img_data)
+    assert isinstance(png_data, bytes)