[Fix]: Fix distributed setting for shape bias (#689)

* [Fix]: Fix dist bug

* [Fix]: Fix lint

* [Feature]: Add download log info

* [Fix]: Fix lint

mmselfsup/evaluation/metrics/shape_bias_label.py

@@ -6,6 +6,7 @@ from typing import List, Sequence
 
 import numpy as np
 import torch
+from mmengine.dist.utils import get_rank
 from mmengine.evaluator import BaseMetric
 
 from mmselfsup.registry import METRICS
@@ -75,7 +76,8 @@ class ShapeBiasMetric(BaseMetric):
         self.csv_dir = csv_dir
         self.model_name = model_name
         self.dataset_name = dataset_name
-        self.csv_path = self.create_csv()
+        if get_rank() == 0:
+            self.csv_path = self.create_csv()
 
     def process(self, data_batch, data_samples: Sequence[dict]) -> None:
         """Process one batch of data samples.
@@ -126,7 +128,7 @@ class ShapeBiasMetric(BaseMetric):
             os.remove(csv_path)
         directory = osp.dirname(csv_path)
         if not osp.exists(directory):
-            os.makedirs(directory)
+            os.makedirs(directory, exist_ok=True)
         with open(csv_path, 'w') as f:
             writer = csv.writer(f)
             writer.writerow([
@@ -161,7 +163,8 @@ class ShapeBiasMetric(BaseMetric):
         Returns:
             dict: A dict of metrics.
         """
-        self.dump_results_to_csv(results)
+        if get_rank() == 0:
+            self.dump_results_to_csv(results)
         metrics = dict()
         metrics['accuracy/top1'] = np.mean([
             result['pred_category'][0] == result['gt_category']

tools/analysis_tools/visualize_shape_bias.py

@@ -8,6 +8,7 @@ import matplotlib as mpl
 import matplotlib.pyplot as plt
 import numpy as np
 import pandas as pd
+from mmengine.logging import MMLogger
 from utils import FormatStrFormatter, ShapeBias
 
 # global default boundary settings for thin gray transparent
@@ -46,12 +47,24 @@ parser.add_argument(
     help=  # noqa
     'the plotting names for the plots of each model, and they should be in the same order as model_names'  # noqa: E501
 )
+parser.add_argument(
+    '--delete-icons',
+    action='store_true',
+    help='whether to delete the icons after plotting')
 
 humans = [
     'subject-01', 'subject-02', 'subject-03', 'subject-04', 'subject-05',
     'subject-06', 'subject-07', 'subject-08', 'subject-09', 'subject-10'
 ]
 
+icon_names = [
+    'airplane.png', 'response_icons_vertical_reverse.png', 'bottle.png',
+    'car.png', 'oven.png', 'elephant.png', 'dog.png', 'boat.png', 'clock.png',
+    'chair.png', 'keyboard.png', 'bird.png', 'bicycle.png',
+    'response_icons_horizontal.png', 'cat.png', 'bear.png', 'colorbar.pdf',
+    'knife.png', 'response_icons_vertical.png', 'truck.png'
+]
+
 
 def read_csvs(csv_dir: str) -> pd.DataFrame:
     """Reads all csv files in a directory and returns a single dataframe.
@@ -83,7 +96,6 @@ def plot_shape_bias_matrixplot(args, analysis=ShapeBias()) -> None:
     mpl.rcParams['font.serif'] = ['Times New Roman']
 
     plt.figure(figsize=(9, 7))
-
     df = read_csvs(args.csv_dir)
 
     fontsize = 15
@@ -218,19 +230,27 @@ def plot_shape_bias_matrixplot(args, analysis=ShapeBias()) -> None:
     plt.close()
 
 
-if __name__ == '__main__':
+def check_icons() -> bool:
-    icon_names = [
+    """Check if icons are present, if not download them."""
-        'airplane.png', 'response_icons_vertical_reverse.png', 'bottle.png',
+    if not osp.exists(ICONS_DIR):
-        'car.png', 'oven.png', 'elephant.png', 'dog.png', 'boat.png',
+        return False
-        'clock.png', 'chair.png', 'keyboard.png', 'bird.png', 'bicycle.png',
-        'response_icons_horizontal.png', 'cat.png', 'bear.png', 'colorbar.pdf',
-        'knife.png', 'response_icons_vertical.png', 'truck.png'
-    ]
-    root_url = 'https://github.com/bethgelab/model-vs-human/raw/master/assets/icons'  # noqa: E501
-    os.makedirs(ICONS_DIR, exist_ok=True)
     for icon_name in icon_names:
-        url = osp.join(root_url, icon_name)
+        if not osp.exists(osp.join(ICONS_DIR, icon_name)):
-        os.system('wget -O {} {}'.format(osp.join(ICONS_DIR, icon_name), url))
+            return False
+    return True
+
+
+if __name__ == '__main__':
+
+    if not check_icons():
+        root_url = 'https://github.com/bethgelab/model-vs-human/raw/master/assets/icons'  # noqa: E501
+        os.makedirs(ICONS_DIR, exist_ok=True)
+        MMLogger.get_current_instance().info(
+            f'Downloading icons to {ICONS_DIR}')
+        for icon_name in icon_names:
+            url = osp.join(root_url, icon_name)
+            os.system('wget -O {} {}'.format(
+                osp.join(ICONS_DIR, icon_name), url))
 
     args = parser.parse_args()
     assert len(args.model_names) * 3 == len(args.colors), 'Number of colors \
@@ -260,5 +280,5 @@ if __name__ == '__main__':
     args.plotting_names.append('Humans')
 
     plot_shape_bias_matrixplot(args)
-
+    if args.delete_icons:
-    os.system('rm -rf {}'.format(ICONS_DIR))
+        os.system('rm -rf {}'.format(ICONS_DIR))