Skip to content

0.2.0
Compare
Choose a tag to compare
@FateScript FateScript released this 18 Jan 07:05
· 63 commits to main since this release
0.2.0
ca9bc37
This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
GPG key ID: 4AEE18F83AFDEB23
Expired
Learn about vigilant mode.

0.2.0

Updates notes

【2022/01/18】

Features

  • Saved 30% memory useage in COCO training. #1066
  • Log per class AP & AP during evaluation. #1026 #1052
  • Users could install yolox from pip now! Supports on more platform is coming. #1020 #1079
  • Optimize dynamic matching in label assignment. #861

For pip users

pip install yolox could help you to install yolox now.

Exp design

YOLOX use Exp as a controller. With Exp object, users could do everything they want.
e.g.
If you want to get something used in yolox tiny.

from yolox.exp import get_exp
exp = get_exp(exp_name="yolox-tiny")  # yolox-tiny could be replaced by yolox-nano/s/m and so on
model = exp.get_model()  # now you get yolox-tiny model
dataloader = exp.get_data_loader(batch_size=8, is_distributed=False)
optimizer = exp.get_optimizer(batch_size=2)

Training with pip installed yolox

Since pip will auto install yolox in its own way, users may use a environment variable named YOLOX_DATADIR.
Check more details from our docs here.

Assets 2
Loading