Fix warnings

datumaro/cli/commands/explain.py

@@ -152,7 +152,7 @@ def explain_command(args):
         for item in dataset:
             image = item.image.data
             if image is None:
-                log.warn(
+                log.warning(
                     "Dataset item %s does not have image data. Skipping." % \
                     (item.id))
                 continue

datumaro/components/operations.py

@@ -1032,8 +1032,8 @@ def _extractor_stats(extractor):
         for item in extractor:
             if not (item.has_image and item.image.has_data):
                 available = False
-                log.warn("Item %s has no image. Image stats won't be computed",
-                    item.id)
+                log.warning("Item %s has no image, it will be excluded from "
+                    "image stats", item.id)
                 break
 
         stats = {

datumaro/plugins/cifar_format.py

@@ -158,7 +158,7 @@ def apply(self):
             annotation_dict = {}
             annotation_dict['filenames'] = filenames
             annotation_dict['labels'] = labels
-            annotation_dict['data'] = np.array(data)
+            annotation_dict['data'] = np.array(data, dtype=object)
             if len(image_sizes):
                 size = (CifarPath.IMAGE_SIZE, CifarPath.IMAGE_SIZE)
                 # 'image_sizes' isn't included in the standard format,

datumaro/plugins/coco_format/converter.py

@@ -265,7 +265,7 @@ def save_annotations(self, item):
             return
 
         if not item.has_image:
-            log.warn("Item '%s': skipping writing instances "
+            log.warning("Item '%s': skipping writing instances "
                 "since no image info available" % item.id)
             return
         h, w = item.image.size

datumaro/plugins/coco_format/importer.py

@@ -88,10 +88,10 @@ def find_sources(path):
             try:
                 ann_type = CocoTask[ann_type]
             except KeyError:
-                log.warn("Skipping '%s': unknown subset "
+                log.warning("Skipping '%s': unknown subset "
                     "type '%s', the only known are: %s" % \
                     (subset_path, ann_type,
-                        ', '.join([e.name for e in CocoTask])))
+                        ', '.join(e.name for e in CocoTask)))
                 continue
             subset_name = name_parts[1]
             subsets[subset_name][ann_type] = subset_path

datumaro/plugins/ndr.py

@@ -22,14 +22,16 @@
 
 class NDR(Transform, CliPlugin):
     """
-    Near-duplicated image removal |n
-    Removes near-duplicated images in subset |n
-    Example:  control number of outputs to 100 after NDR |n
-    |s|s%(prog)s \ |n
-    |s|s|s|s--working_subset train \ |n
-    |s|s|s|s--algorithm gradient \ |n
-    |s|s|s|s--num_cut 100 \ |n
-    |s|s|s|s--over_sample random \ |n
+    Near-duplicated image removal.|n
+    |n
+    Removes near-duplicated images in subset|n
+    |n
+    Example: apply NDR, return no more than 100 images|n
+    |s|s%(prog)s|n
+    |s|s|s|s--working_subset train|n
+    |s|s|s|s--algorithm gradient|n
+    |s|s|s|s--num_cut 100|n
+    |s|s|s|s--over_sample random|n
     |s|s|s|s--under_sample uniform
     """
 

datumaro/plugins/yolo_format/converter.py

@@ -49,7 +49,7 @@ def apply(self):
             if not subset_name or subset_name == DEFAULT_SUBSET_NAME:
                 subset_name = YoloPath.DEFAULT_SUBSET_NAME
             elif subset_name not in YoloPath.SUBSET_NAMES:
-                log.warn("Skipping subset export '%s'. "
+                log.warning("Skipping subset export '%s'. "
                     "If specified, the only valid names are %s" % \
                     (subset_name, ', '.join(
                         "'%s'" % s for s in YoloPath.SUBSET_NAMES)))