Fix label visualization in draw_json, json_to_dataset

labelme/cli/draw_json.py

@@ -30,15 +30,17 @@ def main():
         with open(imagePath, 'rb') as f:
             imageData = f.read()
             imageData = base64.b64encode(imageData).decode('utf-8')
-
     img = utils.img_b64_to_arr(imageData)
 
-    lbl, label_name_to_value = utils.shapes_to_label(img.shape, data['shapes'])
-
-    lbl = utils.shapes_to_label(
-        img.shape, shapes=data['shapes'],
-        label_name_to_value=label_name_to_value,
-    )
+    label_name_to_value = {'_background_': 0}
+    for shape in sorted(data['shapes'], key=lambda x: x['label']):
+        label_name = shape['label']
+        if label_name in label_name_to_value:
+            label_value = label_name_to_value[label_name]
+        else:
+            label_value = len(label_name_to_value)
+            label_name_to_value[label_name] = label_value
+    lbl = utils.shapes_to_label(img.shape, data['shapes'], label_name_to_value)
 
     label_names = [None] * (max(label_name_to_value.values()) + 1)
     for name, value in label_name_to_value.items():

labelme/cli/json_to_dataset.py

@@ -40,30 +40,22 @@ def main():
         with open(imagePath, 'rb') as f:
             imageData = f.read()
             imageData = base64.b64encode(imageData).decode('utf-8')
-
     img = utils.img_b64_to_arr(imageData)
 
     label_name_to_value = {'_background_': 0}
-    for shape in data['shapes']:
+    for shape in sorted(data['shapes'], key=lambda x: x['label']):
         label_name = shape['label']
         if label_name in label_name_to_value:
             label_value = label_name_to_value[label_name]
         else:
             label_value = len(label_name_to_value)
             label_name_to_value[label_name] = label_value
-
-    # label_values must be dense
-    label_values, label_names = [], []
-    for ln, lv in sorted(label_name_to_value.items(), key=lambda x: x[1]):
-        label_values.append(lv)
-        label_names.append(ln)
-    assert label_values == list(range(len(label_values)))
-
     lbl = utils.shapes_to_label(img.shape, data['shapes'], label_name_to_value)
 
-    captions = ['{}: {}'.format(lv, ln)
-                for ln, lv in label_name_to_value.items()]
-    lbl_viz = utils.draw_label(lbl, img, captions)
+    label_names = [None] * (max(label_name_to_value.values()) + 1)
+    for name, value in label_name_to_value.items():
+        label_names[value] = name
+    lbl_viz = utils.draw_label(lbl, img, label_names)
 
     PIL.Image.fromarray(img).save(osp.join(out_dir, 'img.png'))
     utils.lblsave(osp.join(out_dir, 'label.png'), lbl)