[Enhancement] Set Num thread to 0 (#36)

* [Docs] update batch size

* [Enhancement] Set Num thread to 0

* set omp mkl threads numbers

* set cls omp mkl threads numbers

* add comments

setup.cfg

@@ -3,7 +3,7 @@ line_length = 79
 multi_line_output = 0
 known_standard_library = setuptools
 known_first_party = mmfewshot
-known_third_party = mmcls,mmcv,mmdet,numpy,pytest,pytorch_sphinx_theme,terminaltables,torch,typing_extensions
+known_third_party = cv2,mmcls,mmcv,mmdet,numpy,pytest,pytorch_sphinx_theme,terminaltables,torch,typing_extensions
 
 no_lines_before = STDLIB,LOCALFOLDER
 default_section = THIRDPARTY

tools/classification/train.py

@@ -5,6 +5,7 @@ import os
 import os.path as osp
 import time
 
+import cv2
 import mmcv
 import torch
 from mmcls import __version__
@@ -17,6 +18,11 @@ from mmfewshot.classification.apis import train_model
 from mmfewshot.classification.datasets import build_dataset
 from mmfewshot.utils import get_root_logger
 
+# disable multithreading to avoid system being overloaded
+cv2.setNumThreads(0)
+os.environ['OMP_NUM_THREADS'] = '1'
+os.environ['MKL_NUM_THREADS'] = '1'
+
 
 def parse_args():
     parser = argparse.ArgumentParser(description='Train a model')

tools/detection/train.py

@@ -6,6 +6,7 @@ import os.path as osp
 import time
 import warnings
 
+import cv2
 import mmcv
 import torch
 from mmcv import Config, DictAction
@@ -20,6 +21,11 @@ from mmfewshot.detection.datasets import build_dataset
 from mmfewshot.detection.models import build_detector
 from mmfewshot.utils import get_root_logger
 
+# disable multithreading to avoid system being overloaded
+cv2.setNumThreads(0)
+os.environ['OMP_NUM_THREADS'] = '1'
+os.environ['MKL_NUM_THREADS'] = '1'
+
 
 def parse_args():
     parser = argparse.ArgumentParser(description='Train a FewShot model')