Create util.py

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

+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