wangg12 / pvnet-rendering

render images for pvnet training

Generating synthetic data for PVNet

Prepare the dataset

Download the LINEMOD

wget -O LINEMOD.tar --no-check-certificate "https://onedrive.live.com/download?cid=05750EBEE1537631&resid=5750EBEE1537631%21135&authkey=AJRHFmZbcjXxTmI"

Download the LINEMOD_ORIG, which can be found at here.

Download the SUN397

wget http://groups.csail.mit.edu/vision/SUN/releases/SUN2012.tar.gz

Create the soft link

Commands

ln -s path/to/LINEMOD ./data/LINEMOD
ln -s path/to/LINEMOD_ORIG ./data/LINEMOD_ORIG
ln -s path/to/SUN2012 ./data/SUN

Configure the blender

Download blender-2.79a, and revise the cfg.BLENDER_PATH in the config.py.

Run

All the Commands must be carried out in the ROOT directory.

10000 images from blender rendering

python run.py --type rendering

10000 images from fusion

python run.py --type fuse

Examples

Blender rendering

Fusion