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#Active Vision Dataset Processing

This project contains Python and MATLAB scripts for processing the Active Vision Dataset It is an active project, with more and updated code to come.

#DATA LOADING A starting point for loading our data in python for detection or classification of instances. See data_loading/demo.py

With this code, you can:

1. Get an iterable data structure that gives images and bounding box labels
2. Use the data structure to crop boxes for classification
3. Apply pre-defined and custom transforms to the images and labels

#Visualizations Use the code here to visualize our data. See the README in this folder for examples.

To get started, edit the ROHIT_BASE_PATH variable in run.py and/or init_paths.m to point to the directory that contains our data. i.e. the parent directory that the directory for each scan.

  ROHIT_BASE_PATH = /path/to/dataset/

##Running visualization code Everything is a function. See examples below for how to run certain functions, or look at the README in the visualizations directory ###Python To run a python function from the command line:

python run.py function_name scene_name

###MATLAB

1. Start MATLAB
2. Run init_paths
3. Call the desired function