项目作者: knorth55

项目描述 :
Chainer implementation of Dense Fusion
高级语言: Python
项目地址: git://github.com/knorth55/chainer-dense-fusion.git
创建时间: 2019-01-29T09:44:19Z
项目社区:https://github.com/knorth55/chainer-dense-fusion

开源协议:MIT License

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chainer-dense-fusion

Build Status

This is Chainer implementation of DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion.

Original PyTorch repository is j96w/DenseFusion.

Requirement

Installation

We recommend to use Anacoda.

  1. # Requirement installation
  2. conda create -n dense-fusion python=3.6
  3. source activate dense-fusion
  4. pip install opencv-python
  5. pip install cupy
  6. # Installation
  7. git clone https://github.com/knorth55/chainer-dense-fusion.git
  8. cd chainer-dense-fusion/
  9. pip install -e .

Inference

  1. cd examples/dense_fusion/
  2. python demo.py --random

TODO

  • YCB Video Dataset
    • Add estimator inference script.
    • Add refiner inference script.
    • Add training script.
    • Reproduce original accuracy.

LICENSE

MIT LICENSE