Refactor tests/utils_tests

tests/utils_tests/test_draw.py

@@ -0,0 +1,48 @@
+import numpy as np
+
+from labelme.utils import draw as draw_module
+from labelme.utils import shape as shape_module
+
+from .util import get_img_and_lbl
+
+
+# -----------------------------------------------------------------------------
+
+
+def test_label_colormap():
+    N = 255
+    colormap = draw_module.label_colormap(N=N)
+    assert colormap.shape == (N, 3)
+
+
+def test_label2rgb():
+    img, lbl, label_names = get_img_and_lbl()
+    n_labels = len(label_names)
+
+    viz = draw_module.label2rgb(lbl=lbl, n_labels=n_labels)
+    assert lbl.shape == viz.shape[:2]
+    assert viz.dtype == np.uint8
+
+    viz = draw_module.label2rgb(lbl=lbl, img=img, n_labels=n_labels)
+    assert img.shape[:2] == lbl.shape == viz.shape[:2]
+    assert viz.dtype == np.uint8
+
+
+def test_draw_label():
+    img, lbl, label_names = get_img_and_lbl()
+
+    viz = draw_module.draw_label(lbl, img, label_names=label_names)
+    assert viz.shape[:2] == img.shape[:2] == lbl.shape[:2]
+    assert viz.dtype == np.uint8
+
+
+def test_draw_instances():
+    img, lbl, label_names = get_img_and_lbl()
+    labels_and_masks = {l: lbl == l for l in np.unique(lbl) if l != 0}
+    labels, masks = zip(*labels_and_masks.items())
+    masks = np.asarray(masks)
+    bboxes = shape_module.masks_to_bboxes(masks)
+    captions = [label_names[l] for l in labels]
+    viz = draw_module.draw_instances(img, bboxes, labels, captions=captions)
+    assert viz.shape[:2] == img.shape[:2]
+    assert viz.dtype == np.uint8

tests/utils_tests/test_image.py

@@ -0,0 +1,23 @@
+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)

tests/utils_tests/test_shape.py

@@ -0,0 +1,23 @@
+from .util import get_img_and_data
+
+from labelme.utils import shape as shape_module
+
+
+def test_shapes_to_label():
+    img, data = get_img_and_data()
+    label_name_to_value = {}
+    for shape in data['shapes']:
+        label_name = shape['label']
+        label_value = len(label_name_to_value)
+        label_name_to_value[label_name] = label_value
+    cls = shape_module.shapes_to_label(
+        img.shape, data['shapes'], label_name_to_value)
+    assert cls.shape == img.shape[:2]
+
+
+def test_shape_to_mask():
+    img, data = get_img_and_data()
+    for shape in data['shapes']:
+        points = shape['points']
+        mask = shape_module.shape_to_mask(img.shape[:2], points)
+        assert mask.shape == img.shape[:2]

tests/utils_tests/util.py

@@ -0,0 +1,37 @@
+import json
+import os.path as osp
+
+from labelme.utils import image as image_module
+from labelme.utils import shape as shape_module
+
+
+here = osp.dirname(osp.abspath(__file__))
+data_dir = osp.join(here, '../data')
+
+
+def get_img_and_data():
+    json_file = osp.join(data_dir, 'apc2016_obj3.json')
+    data = json.load(open(json_file))
+    img_b64 = data['imageData']
+    img = image_module.img_b64_to_arr(img_b64)
+    return img, data
+
+
+def get_img_and_lbl():
+    img, data = get_img_and_data()
+
+    label_name_to_value = {'__background__': 0}
+    for shape in data['shapes']:
+        label_name = shape['label']
+        label_value = len(label_name_to_value)
+        label_name_to_value[label_name] = label_value
+
+    n_labels = max(label_name_to_value.values()) + 1
+    label_names = [None] * n_labels
+    for label_name, label_value in label_name_to_value.items():
+        label_names[label_value] = label_name
+
+    lbl = shape_module.shapes_to_label(
+        img.shape, data['shapes'], label_name_to_value
+    )
+    return img, lbl, label_names