Awesome
PanoAnnotator
A semi-automatic tool for indoor panorama layout annotation. Which help user to annotate the 3D layout from 2D panorama. Implement by python3, using PyQt as GUI framework and Tensorflow as deep learning core. Please read the document for more detail.
<img src='figs/teasor.jpg' width=600>Prerequisites
- Python >= 3.6
- tensorflow >= 1.10
- PyQt5 / PyOpenGL
- Numpy / Pillow / scikit-image
You can install all dependency by Anaconda environment file (detail in Setup section).
Setup
1. Download pre-trained model
Download our pre-trained depth estimation model and copy to ./estimator/depth/models/trained
2. Setup environment
You can install the dependencies by yourself. Otherwise, if you already installed Anaconda, you can create and activate the environment by
conda env create -f ./scripts/annotator_env.yml
activate Annotator
3. Launch PanoAnnotator
python ./MainWindow.py
Pre-process
Our system inputs are a Manhattan-aligned color panorama, its lines map and orientation map (optional). To pre-process the images, please download the tool. In Matlab, you can generate those images by
cd ./preprocess/matlab
preprocess([input file path], [outputs path])
the preprocessing code are mostly from PanoBasic
Output maps
<img src='figs/outputmaps.jpg' width=600>To convert the annotation label to feature maps (including edges, orientation map, surface normal and depth), please run the scripts
cd ./scripts
python json2maps -i [input json path]