felipecorredor73 / daai_open_set_ros

Open-Set Domain Adaptation through Self-Supervision, using a ROS task this repository contains the python implementation of the final project for the course of Data Analysis & Artificial Intelligence

DAAI_OPEN_SET_ROS

Open-Set Domain Adaptation through Self-Supervision, using a ROS task this repository contains the python implementation of the final project for the course of Data Analysis & Artificial Intelligence

Using the project

To use the code in Google Colaboratory you need to follow next steps

1. Clone this repository
2. Open the MainBook.ipynb file
3. Select a working directory in your Google Drive and copy the path
4. Make sure that OfficeHome dataset* is available, you can do that bi either: a. Have the zipfile inside your working directory (in that case related cell will unzip the dataset) b. Have the dataset unzipped at './DAAI_OPEN_SET_ROS/OS_ROS_code/data/OfficeHome'
5. run the rest of the MainBook.ipynb file**

*Note: If required you can find the dataset at this link: https://drive.google.com/file/d/1-q5_9fg6ugCmolG6jOXNwxMfO9axW6yj/view?usp=sharing

**Note: Last section of the code is where you can edit the parameters and configuration variables used in your run of the project (e.g.) --weight_RotTask_step1 1.5 --weight_RotTask_step2 1.5 --threshold -0.4 --weight_Center_Loss 0