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Installation

Requirements

All the codes are tested in the following environment:

  • Linux (tested on Ubuntu 14.04/16.04)
  • Python 3.6+
  • PyTorch 1.1 or higher (tested on PyTorch 1.1, 1,3, 1,5)
  • CUDA 9.0 or higher (PyTorch 1.3+ needs CUDA 9.2+)
  • spconv v1.0 (commit 8da6f96) or spconv v1.2

Install pcdet v0.3

NOTE: Please re-install pcdet v0.3 by running python setup.py develop even if you have already installed previous version.

a. Clone this repository.

git clone https://github.com/dvlab-research/VFF.git

b. Install the dependent libraries as follows:

  • Install the dependent python libraries:
pip install -r requirements.txt
  • Install the SparseConv library, we use the implementation from [spconv].
    • If you use PyTorch 1.1, then make sure you install the spconv v1.0 with (commit 8da6f96) instead of the latest one.
    • If you use PyTorch 1.3+, then you need to install the spconv v1.2. As mentioned by the author of spconv, you need to use their docker if you use PyTorch 1.4+.

c. Install this pcdet library by running the following command:

python setup.py develop