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GluonCV 0.8.0 Release
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@bryanyzhu bryanyzhu released this 10 Aug 17:38
· 145 commits to master since this release
v0.8.0
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GluonCV 0.8.0 Release Note

Highlights

GluonCV v0.8.0 features the popular depth estimation model Monodepth2, semantic segmentation models (DANet and FastSCNN), StyleGAN, and multiple usability improvements.

Monodepth2 (thanks @KuangHaofei )

We provide GluonCV implementation of Monodepth2 and the results are fully reproducible. To try out on your own images, please see our demo tutorial. To train a Monodepth2 model on your own dataset, please see our dive deep tutorial.

Following table shows its performance on the KITTI dataset.

Name Modality Resolution Abs. Rel. Error delta < 1.25 Hashtag
monodepth2_resnet18_kitti_stereo_640x192 1 Stereo 640x192 0.114 0.856 92871317

More Semantic Segmentation Models (thanks @xdeng7 and @ytian8 )

We include two new semantic segmentation models in this release, one is DANet, the other is FastSCNN.

Following table shows their performance on the Cityscapes validation set.

Model Pre-Trained Dataset Dataset pixAcc mIoU
danet_resnet50_citys ImageNet Cityscapes 96.3 78.5
danet_resnet101_citys ImageNet Cityscapes 96.5 80.1
fastscnn_citys - Cityscapes 95.1 72.3

Our FastSCNN is an improved version from a recent paper using semi-supervised learning. To our best knowledge, 72.3 mIoU is the highest-scored implementation of FastSCNN and one of the best real-time semantic segmentation models.

StyleGAN (thanks @xdeng7 )

A GluonCV implementation of StyleGAN "A Style-Based Generator Architecture for Generative Adversarial Networks": https://github.com/dmlc/gluon-cv/tree/master/scripts/gan/stylegan

Bug fixes and Improvements

  • We now officially deprecated python2 support, the minimum required python 3 version is 3.6. (#1399)
  • Fixed Faster-RCNN training script (#1249)
  • Allow SRGAN to be hybridized (#1281)
  • Fix market1501 dataset (#1227)
  • Added Visdrone dataset (#1267)
  • Improved video action recognition task's train.py (#1339)
  • Added jetson object detection tutorial (#1346)
  • Improved guide for contributing new algorithms to GluonCV (#1354)
  • Fixed amp parameter that required in class ForwardBackwardTask (#1404)
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