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This code allows you to read and extract images from the dataset recorded from the Sony LettuceThink robot (EU H2020 ROMI project)
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README
cam_sim.py
example.py
util.py

README

Cam_sim can be used to simulate visuo-motor trajectories on a dataset recorded from the Sony LettuceThink micro-farming platform (http://romi-project.eu)
The dataset can be downloaded from the following Zenodo repository: https://zenodo.org/record/3552827#.Xk2v4xNKiRs

After cloning this github repository, create a folder within it called raw_images and extract the jpeg files contained in the zenodo zip archive (under the folder rgb_rectified).
Then run:
python cam_sim.py

to generate a pkl archive.
Finally, you can use cam_sim to generate simulated trajectories over the visuomotor dataset. 

See example.py for an simple test on how to generate trajectories

Dataset reference:
Guido Schillaci, & Antonio Pico Villalpando. (2020). Visuo-motor dataset recorded from a micro-farming robot (Version 0.1) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3552827

This work has received funding from the EU-H2020 project ROMI (Robotics for Micro-Farms) and from the EU-H2020 Marie Sklodowska-Curie Predictive Robots project.
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