Replace deprecated methods 'warn' and 'getargspec' (#3627)

dataset/dota_coco/dota_to_coco.py

@@ -93,7 +93,7 @@ def dota_2_coco(image_dir,
         # annotations
         anno_txt_path = osp.join(txt_dir, osp.splitext(basename)[0] + '.txt')
         if not osp.exists(anno_txt_path):
-            logger.warn('path of {} not exists'.format(anno_txt_path))
+            logger.warning('path of {} not exists'.format(anno_txt_path))
 
         for line in open(anno_txt_path):
             line = line.strip()

ppdet/core/config/schema.py

@@ -185,12 +185,12 @@ def extract_schema(cls):
         annotations = argspec.annotations
         has_kwargs = argspec.varkw is not None
     else:
-        argspec = inspect.getargspec(ctor)
+        argspec = inspect.getfullargspec(ctor)
         # python 2 type hinting workaround, see pep-3107
         # however, since `typeguard` does not support python 2, type checking
         # is still python 3 only for now
         annotations = getattr(ctor, '__annotations__', {})
-        has_kwargs = argspec.keywords is not None
+        has_kwargs = argspec.varkw is not None
 
     names = [arg for arg in argspec.args if arg != 'self']
     defaults = argspec.defaults

ppdet/core/config/yaml_helpers.py

@@ -52,7 +52,7 @@ def _make_python_representer(cls):
     if hasattr(inspect, 'getfullargspec'):
         argspec = inspect.getfullargspec(cls)
     else:
-        argspec = inspect.getargspec(cls.__init__)
+        argspec = inspect.getfullargspec(cls.__init__)
     argnames = [arg for arg in argspec.args if arg != 'self']
 
     def python_representer(dumper, obj):

ppdet/data/reader.py

@@ -56,9 +56,9 @@ class Compose(object):
                 data = f(data)
             except Exception as e:
                 stack_info = traceback.format_exc()
-                logger.warn("fail to map sample transform [{}] "
-                            "with error: {} and stack:\n{}".format(
-                                f, e, str(stack_info)))
+                logger.warning("fail to map sample transform [{}] "
+                               "with error: {} and stack:\n{}".format(
+                                   f, e, str(stack_info)))
                 raise e
 
         return data
@@ -75,9 +75,9 @@ class BatchCompose(Compose):
                 data = f(data)
             except Exception as e:
                 stack_info = traceback.format_exc()
-                logger.warn("fail to map batch transform [{}] "
-                            "with error: {} and stack:\n{}".format(
-                                f, e, str(stack_info)))
+                logger.warning("fail to map batch transform [{}] "
+                               "with error: {} and stack:\n{}".format(
+                                   f, e, str(stack_info)))
                 raise e
 
         # remove keys which is not needed by model
@@ -185,8 +185,8 @@ class BaseDataLoader(object):
         if use_shared_memory:
             shm_size = _get_shared_memory_size_in_M()
             if shm_size is not None and shm_size < 1024.:
-                logger.warn("Shared memory size is less than 1G, "
-                            "disable shared_memory in DataLoader")
+                logger.warning("Shared memory size is less than 1G, "
+                               "disable shared_memory in DataLoader")
                 use_shared_memory = False
 
         self.dataloader = DataLoader(

ppdet/data/source/category.py

@@ -77,7 +77,7 @@ def get_categories(metric_type, anno_file=None, arch=None):
 
     elif metric_type.lower() == 'oid':
         if anno_file and os.path.isfile(anno_file):
-            logger.warn("only default categories support for OID19")
+            logger.warning("only default categories support for OID19")
         return _oid19_category()
 
     elif metric_type.lower() == 'widerface':

ppdet/data/source/mot.py

@@ -175,12 +175,12 @@ class MOTDataSet(DetDataset):
             lbl_file = self.label_files[data_name][img_index - start_index]
 
             if not os.path.exists(img_file):
-                logger.warn('Illegal image file: {}, and it will be ignored'.
-                            format(img_file))
+                logger.warning('Illegal image file: {}, and it will be ignored'.
+                               format(img_file))
                 continue
             if not os.path.isfile(lbl_file):
-                logger.warn('Illegal label file: {}, and it will be ignored'.
-                            format(lbl_file))
+                logger.warning('Illegal label file: {}, and it will be ignored'.
+                               format(lbl_file))
                 continue
 
             labels = np.loadtxt(lbl_file, dtype=np.float32).reshape(-1, 6)

ppdet/data/source/voc.py

@@ -89,13 +89,14 @@ class VOCDataSet(DetDataset):
                 img_file, xml_file = [os.path.join(image_dir, x) \
                         for x in line.strip().split()[:2]]
                 if not os.path.exists(img_file):
-                    logger.warn(
+                    logger.warning(
                         'Illegal image file: {}, and it will be ignored'.format(
                             img_file))
                     continue
                 if not os.path.isfile(xml_file):
-                    logger.warn('Illegal xml file: {}, and it will be ignored'.
-                                format(xml_file))
+                    logger.warning(
+                        'Illegal xml file: {}, and it will be ignored'.format(
+                            xml_file))
                     continue
                 tree = ET.parse(xml_file)
                 if tree.find('id') is None:
@@ -107,7 +108,7 @@ class VOCDataSet(DetDataset):
                 im_w = float(tree.find('size').find('width').text)
                 im_h = float(tree.find('size').find('height').text)
                 if im_w < 0 or im_h < 0:
-                    logger.warn(
+                    logger.warning(
                         'Illegal width: {} or height: {} in annotation, '
                         'and {} will be ignored'.format(im_w, im_h, xml_file))
                     continue
@@ -137,7 +138,7 @@ class VOCDataSet(DetDataset):
                         gt_score.append([1.])
                         difficult.append([_difficult])
                     else:
-                        logger.warn(
+                        logger.warning(
                             'Found an invalid bbox in annotations: xml_file: {}'
                             ', x1: {}, y1: {}, x2: {}, y2: {}.'.format(
                                 xml_file, x1, y1, x2, y2))

ppdet/data/source/widerface.py

@@ -139,9 +139,9 @@ class WIDERFaceDataSet(DetDataset):
                 h = float(split_str[3])
                 # Filter out wrong labels
                 if w < 0 or h < 0:
-                    logger.warn('Illegal box with w: {}, h: {} in '
-                                'img: {}, and it will be ignored'.format(
-                                    w, h, file_dict[num_class][0]))
+                    logger.warning('Illegal box with w: {}, h: {} in '
+                                   'img: {}, and it will be ignored'.format(
+                                       w, h, file_dict[num_class][0]))
                     continue
                 xmin = max(0, xmin)
                 ymin = max(0, ymin)

ppdet/data/transform/operators.py

@@ -131,7 +131,7 @@ class Decode(BaseOperator):
         if 'h' not in sample:
             sample['h'] = im.shape[0]
         elif sample['h'] != im.shape[0]:
-            logger.warn(
+            logger.warning(
                 "The actual image height: {} is not equal to the "
                 "height: {} in annotation, and update sample['h'] by actual "
                 "image height.".format(im.shape[0], sample['h']))
@@ -139,7 +139,7 @@ class Decode(BaseOperator):
         if 'w' not in sample:
             sample['w'] = im.shape[1]
         elif sample['w'] != im.shape[1]:
-            logger.warn(
+            logger.warning(
                 "The actual image width: {} is not equal to the "
                 "width: {} in annotation, and update sample['w'] by actual "
                 "image width.".format(im.shape[1], sample['w']))
@@ -726,7 +726,7 @@ class Resize(BaseOperator):
         # apply rbox
         if 'gt_rbox2poly' in sample:
             if np.array(sample['gt_rbox2poly']).shape[1] != 8:
-                logger.warn(
+                logger.warning(
                     "gt_rbox2poly's length shoule be 8, but actually is {}".
                     format(len(sample['gt_rbox2poly'])))
             sample['gt_rbox2poly'] = self.apply_bbox(sample['gt_rbox2poly'],

ppdet/engine/callbacks.py

@@ -175,7 +175,7 @@ class Checkpointer(Callback):
                         else:
                             key = 'mask'
                         if key not in map_res:
-                            logger.warn("Evaluation results empty, this may be due to " \
+                            logger.warning("Evaluation results empty, this may be due to " \
                                         "training iterations being too few or not " \
                                         "loading the correct weights.")
                             return

ppdet/engine/tracker.py

@@ -75,7 +75,7 @@ class Tracker(object):
         if self.cfg.metric == 'MOT':
             self._metrics = [MOTMetric(), ]
         else:
-            logger.warn("Metric not support for metric type {}".format(
+            logger.warning("Metric not support for metric type {}".format(
                 self.cfg.metric))
             self._metrics = []
 

ppdet/engine/trainer.py

@@ -246,7 +246,7 @@ class Trainer(object):
         elif self.cfg.metric == 'MOTDet':
             self._metrics = [JDEDetMetric(), ]
         else:
-            logger.warn("Metric not support for metric type {}".format(
+            logger.warning("Metric not support for metric type {}".format(
                 self.cfg.metric))
             self._metrics = []
 

static/ppdet/core/config/schema.py

@@ -185,12 +185,12 @@ def extract_schema(cls):
         annotations = argspec.annotations
         has_kwargs = argspec.varkw is not None
     else:
-        argspec = inspect.getargspec(ctor)
+        argspec = inspect.getfullargspec(ctor)
         # python 2 type hinting workaround, see pep-3107
         # however, since `typeguard` does not support python 2, type checking
         # is still python 3 only for now
         annotations = getattr(ctor, '__annotations__', {})
-        has_kwargs = argspec.keywords is not None
+        has_kwargs = argspec.varkw is not None
 
     names = [arg for arg in argspec.args if arg != 'self']
     defaults = argspec.defaults

static/ppdet/core/config/yaml_helpers.py

@@ -52,7 +52,7 @@ def _make_python_representer(cls):
     if hasattr(inspect, 'getfullargspec'):
         argspec = inspect.getfullargspec(cls)
     else:
-        argspec = inspect.getargspec(cls.__init__)
+        argspec = inspect.getfullargspec(cls.__init__)
     argnames = [arg for arg in argspec.args if arg != 'self']
 
     def python_representer(dumper, obj):

static/ppdet/core/workspace.py

@@ -166,8 +166,8 @@ def make_partial(cls):
     if not hasattr(op_module, op_name):
         import logging
         logger = logging.getLogger(__name__)
-        logger.warn('{} OP not found, maybe a newer version of paddle '
-                    'is required.'.format(cls.__op__))
+        logger.warning('{} OP not found, maybe a newer version of paddle '
+                       'is required.'.format(cls.__op__))
         return cls
 
     op = getattr(op_module, op_name)

static/ppdet/data/parallel_map.py

@@ -211,10 +211,10 @@ class ParallelMap(object):
                 else:
                     errmsg = "consumer[{}] exit abnormally".format(w.ident)
 
-                logger.warn(errmsg)
+                logger.warning(errmsg)
 
         if abnormal_num > 0:
-            logger.warn("{} consumers have exited abnormally!!!" \
+            logger.warning("{} consumers have exited abnormally!!!" \
                 .format(abnormal_num))
 
         return abnormal_num == 0
@@ -239,7 +239,7 @@ class ParallelMap(object):
 
             if isinstance(sample, EndSignal):
                 self._consumer_endsig[sample.id] = sample
-                logger.warn("recv endsignal from outq with errmsg[{}]" \
+                logger.warning("recv endsignal from outq with errmsg[{}]" \
                     .format(sample.errmsg))
 
                 if len(self._consumer_endsig.keys()) < len(self._consumers):
@@ -268,7 +268,7 @@ class ParallelMap(object):
                 " for some consumers exited abnormally before!!!"
 
             if not self.drained():
-                logger.warn("reset before epoch[{}] finishes".format(
+                logger.warning("reset before epoch[{}] finishes".format(
                     self._epoch))
                 self._produced = self._produced - self._consumed
             else:

static/ppdet/data/reader.py

@@ -46,8 +46,9 @@ class Compose(object):
                 data = f(data, ctx)
             except Exception as e:
                 stack_info = traceback.format_exc()
-                logger.warn("fail to map op [{}] with error: {} and stack:\n{}".
-                            format(f, e, str(stack_info)))
+                logger.warning(
+                    "fail to map op [{}] with error: {} and stack:\n{}".format(
+                        f, e, str(stack_info)))
                 raise e
         return data
 

static/ppdet/data/shared_queue/queue.py

@@ -75,7 +75,7 @@ class SharedQueue(Queue):
             stack_info = traceback.format_exc()
             err_msg = 'failed to put a element to SharedQueue '\
                 'with stack info[%s]' % (stack_info)
-            logger.warn(err_msg)
+            logger.warning(err_msg)
 
             if buff is not None:
                 buff.free()
@@ -95,7 +95,7 @@ class SharedQueue(Queue):
             stack_info = traceback.format_exc()
             err_msg = 'failed to get element from SharedQueue '\
                         'with stack info[%s]' % (stack_info)
-            logger.warn(err_msg)
+            logger.warning(err_msg)
             raise e
         finally:
             if buff is not None:

static/ppdet/data/shared_queue/sharedmemory.py

@@ -233,7 +233,7 @@ class PageAllocator(object):
         fname = fname + '.' + str(uuid.uuid4())[:6]
         with open(fname, 'wb') as f:
             f.write(pickle.dumps(info, -1))
-        logger.warn('dump alloc info to file[%s]' % (fname))
+        logger.warning('dump alloc info to file[%s]' % (fname))
 
     def _reset(self):
         alloc_page_pos = self._header_pages
@@ -460,7 +460,7 @@ class SharedMemoryMgr(object):
             if start is None:
                 time.sleep(0.1)
                 if ct % 100 == 0:
-                    logger.warn('not enough space for reason[%s]' % (errmsg))
+                    logger.warning('not enough space for reason[%s]' % (errmsg))
 
                 ct += 1
             else:

static/ppdet/data/source/coco.py

@@ -97,8 +97,8 @@ class COCODataSet(DataSet):
 
         if 'annotations' not in coco.dataset:
             self.load_image_only = True
-            logger.warn('Annotation file: {} does not contains ground truth '
-                        'and load image information only.'.format(anno_path))
+            logger.warning('Annotation file: {} does not contains ground truth '
+                           'and load image information only.'.format(anno_path))
 
         for img_id in img_ids:
             img_anno = coco.loadImgs([img_id])[0]
@@ -109,14 +109,14 @@ class COCODataSet(DataSet):
             im_path = os.path.join(image_dir,
                                    im_fname) if image_dir else im_fname
             if not os.path.exists(im_path):
-                logger.warn('Illegal image file: {}, and it will be '
-                            'ignored'.format(im_path))
+                logger.warning('Illegal image file: {}, and it will be '
+                               'ignored'.format(im_path))
                 continue
 
             if im_w < 0 or im_h < 0:
-                logger.warn('Illegal width: {} or height: {} in annotation, '
-                            'and im_id: {} will be ignored'.format(im_w, im_h,
-                                                                   img_id))
+                logger.warning('Illegal width: {} or height: {} in annotation, '
+                               'and im_id: {} will be ignored'.format(
+                                   im_w, im_h, img_id))
                 continue
 
             coco_rec = {
@@ -141,7 +141,7 @@ class COCODataSet(DataSet):
                         inst['clean_bbox'] = [x1, y1, x2, y2]
                         bboxes.append(inst)
                     else:
-                        logger.warn(
+                        logger.warning(
                             'Found an invalid bbox in annotations: im_id: {}, '
                             'x1: {}, y1: {}, x2: {}, y2: {}.'.format(
                                 img_id, x1, y1, x2, y2))

static/ppdet/data/source/voc.py

@@ -111,13 +111,14 @@ class VOCDataSet(DataSet):
                 img_file, xml_file = [os.path.join(image_dir, x) \
                         for x in line.strip().split()[:2]]
                 if not os.path.exists(img_file):
-                    logger.warn(
+                    logger.warning(
                         'Illegal image file: {}, and it will be ignored'.format(
                             img_file))
                     continue
                 if not os.path.isfile(xml_file):
-                    logger.warn('Illegal xml file: {}, and it will be ignored'.
-                                format(xml_file))
+                    logger.warning(
+                        'Illegal xml file: {}, and it will be ignored'.format(
+                            xml_file))
                     continue
                 tree = ET.parse(xml_file)
                 if tree.find('id') is None:
@@ -129,7 +130,7 @@ class VOCDataSet(DataSet):
                 im_w = float(tree.find('size').find('width').text)
                 im_h = float(tree.find('size').find('height').text)
                 if im_w < 0 or im_h < 0:
-                    logger.warn(
+                    logger.warning(
                         'Illegal width: {} or height: {} in annotation, '
                         'and {} will be ignored'.format(im_w, im_h, xml_file))
                     continue
@@ -156,7 +157,7 @@ class VOCDataSet(DataSet):
                         is_crowd.append([0])
                         difficult.append([_difficult])
                     else:
-                        logger.warn(
+                        logger.warning(
                             'Found an invalid bbox in annotations: xml_file: {}'
                             ', x1: {}, y1: {}, x2: {}, y2: {}.'.format(
                                 xml_file, x1, y1, x2, y2))

static/ppdet/data/source/widerface.py

@@ -133,9 +133,9 @@ class WIDERFaceDataSet(DataSet):
                 h = float(split_str[3])
                 # Filter out wrong labels
                 if w < 0 or h < 0:
-                    logger.warn('Illegal box with w: {}, h: {} in '
-                                'img: {}, and it will be ignored'.format(
-                                    w, h, file_dict[num_class][0]))
+                    logger.warning('Illegal box with w: {}, h: {} in '
+                                   'img: {}, and it will be ignored'.format(
+                                       w, h, file_dict[num_class][0]))
                     continue
                 xmin = max(0, xmin)
                 ymin = max(0, ymin)

static/ppdet/data/transform/autoaugment_utils.py

@@ -1453,19 +1453,19 @@ def _parse_policy_info(name, prob, level, replace_value, augmentation_hparams):
     # Check to see if prob is passed into function. This is used for operations
     # where we alter bboxes independently.
     # pytype:disable=wrong-arg-types
-    if 'prob' in inspect.getargspec(func)[0]:
+    if 'prob' in inspect.getfullargspec(func)[0]:
         args = tuple([prob] + list(args))
     # pytype:enable=wrong-arg-types
 
     # Add in replace arg if it is required for the function that is being called.
-    if 'replace' in inspect.getargspec(func)[0]:
+    if 'replace' in inspect.getfullargspec(func)[0]:
         # Make sure replace is the final argument
-        assert 'replace' == inspect.getargspec(func)[0][-1]
+        assert 'replace' == inspect.getfullargspec(func)[0][-1]
         args = tuple(list(args) + [replace_value])
 
     # Add bboxes as the second positional argument for the function if it does
     # not already exist.
-    if 'bboxes' not in inspect.getargspec(func)[0]:
+    if 'bboxes' not in inspect.getfullargspec(func)[0]:
         func = bbox_wrapper(func)
     return (func, prob, args)
 
@@ -1473,11 +1473,11 @@ def _parse_policy_info(name, prob, level, replace_value, augmentation_hparams):
 def _apply_func_with_prob(func, image, args, prob, bboxes):
     """Apply `func` to image w/ `args` as input with probability `prob`."""
     assert isinstance(args, tuple)
-    assert 'bboxes' == inspect.getargspec(func)[0][1]
+    assert 'bboxes' == inspect.getfullargspec(func)[0][1]
 
     # If prob is a function argument, then this randomness is being handled
     # inside the function, so make sure it is always called.
-    if 'prob' in inspect.getargspec(func)[0]:
+    if 'prob' in inspect.getfullargspec(func)[0]:
         prob = 1.0
 
     # Apply the function with probability `prob`.

static/ppdet/data/transform/operators.py

@@ -125,7 +125,7 @@ class DecodeImage(BaseOperator):
         if 'h' not in sample:
             sample['h'] = im.shape[0]
         elif sample['h'] != im.shape[0]:
-            logger.warn(
+            logger.warning(
                 "The actual image height: {} is not equal to the "
                 "height: {} in annotation, and update sample['h'] by actual "
                 "image height.".format(im.shape[0], sample['h']))
@@ -133,7 +133,7 @@ class DecodeImage(BaseOperator):
         if 'w' not in sample:
             sample['w'] = im.shape[1]
         elif sample['w'] != im.shape[1]:
-            logger.warn(
+            logger.warning(
                 "The actual image width: {} is not equal to the "
                 "width: {} in annotation, and update sample['w'] by actual "
                 "image width.".format(im.shape[1], sample['w']))

static/ppdet/modeling/losses/yolo_loss.py

@@ -67,7 +67,7 @@ class YOLOv3Loss(object):
         self.match_score = match_score
 
         if batch_size != -1:
-            logger.warn(
+            logger.warning(
                 "config YOLOv3Loss.batch_size is deprecated, "
                 "training batch size should be set by TrainReader.batch_size")
 

static/ppdet/utils/download.py

@@ -321,7 +321,7 @@ def _download(url, path, md5sum=None):
             shutil.move(tmp_fullname, fullname)
             return fullname
         else:
-            logger.warn(
+            logger.warning(
                 "Download from url imcomplete, try downloading again...")
             os.remove(tmp_fullname)
             continue

static/slim/sensitive/sensitive.py

@@ -111,7 +111,7 @@ def main():
     if cfg.weights:
         checkpoint.load_params(exe, eval_prog, cfg.weights)
     else:
-        logger.warn("Please set cfg.weights to load trained model.")
+        logger.warning("Please set cfg.weights to load trained model.")
 
     # whether output bbox is normalized in model output layer
     is_bbox_normalized = False

static/tools/anchor_cluster.py

@@ -265,9 +265,9 @@ class YOLOv5AnchorCluster(BaseAnchorCluster):
         wh0 = self.whs
         i = (wh0 < 3.0).any(1).sum()
         if i:
-            logger.warn('Extremely small objects found. %d of %d'
-                        'labels are < 3 pixels in width or height' %
-                        (i, len(wh0)))
+            logger.warning('Extremely small objects found. %d of %d'
+                           'labels are < 3 pixels in width or height' %
+                           (i, len(wh0)))
 
         wh = wh0[(wh0 >= 2.0).any(1)]
         logger.info('Running kmeans for %g anchors on %g points...' %

tools/anchor_cluster.py

@@ -252,9 +252,9 @@ class YOLOv5AnchorCluster(BaseAnchorCluster):
         wh0 = self.whs
         i = (wh0 < 3.0).any(1).sum()
         if i:
-            logger.warn('Extremely small objects found. %d of %d'
-                        'labels are < 3 pixels in width or height' %
-                        (i, len(wh0)))
+            logger.warning('Extremely small objects found. %d of %d'
+                           'labels are < 3 pixels in width or height' %
+                           (i, len(wh0)))
 
         wh = wh0[(wh0 >= 2.0).any(1)]
         logger.info('Running kmeans for %g anchors on %g points...' %