Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Add Hub results.pandas() method #2725

Merged
merged 7 commits into from
Apr 7, 2021
Merged

Add Hub results.pandas() method #2725

Changes from 1 commit
Commits
Show all changes
7 commits
Select commit Hold shift + click to select a range
bfba802
Add Hub results.pandas() method
glenn-jocher Apr 6, 2021
ccbe7de
Update comments
glenn-jocher Apr 7, 2021
2ff0dfb
apply decorators
glenn-jocher Apr 7, 2021
dd710dd
PEP8
glenn-jocher Apr 7, 2021
49563c7
Update common.py
glenn-jocher Apr 7, 2021
af52afa
pd.options.display.max_columns = 10
glenn-jocher Apr 7, 2021
69771d7
Update common.py
glenn-jocher Apr 7, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
Next Next commit
pd.options.display.max_columns = 10
  • Loading branch information
@glenn-jocher
glenn-jocher authored Apr 7, 2021
commit af52afa44461f800be3415653d98df3f71a6b2c7
2 changes: 2 additions & 0 deletions utils/general.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -13,6 +13,7 @@

import cv2
import numpy as np
import pandas as pd
import torch
import torchvision
import yaml
Expand All @@ -24,6 +25,7 @@
# Settings
torch.set_printoptions(linewidth=320, precision=5, profile='long')
np.set_printoptions(linewidth=320, formatter={'float_kind': '{:11.5g}'.format}) # format short g, %precision=5
pd.options.display.max_columns = 10
cv2.setNumThreads(0) # prevent OpenCV from multithreading (incompatible with PyTorch DataLoader)
os.environ['NUMEXPR_MAX_THREADS'] = str(min(os.cpu_count(), 8)) # NumExpr max threads

Expand Down