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--- gazebo:manipulation:basics [2018/10/20 17:45] – pvela
+++ gazebo:manipulation:basics [2024/08/20 21:38] (current) – external edit 127.0.0.1
@@ Line 54: / Line 54: @@
   - To use it on Kinect via ROS, simply import tf (tensorflow) in your python node, and modify the provided demo.py to load the pretrained model for your own purposes.
   - (Optional) If you would like to finetune on specific object for grasping, this [[https://github.com/ivalab/grasp_annotation_tool|annotation tool]] provide a GUI interface for annotating grasps easily to generate training data!
-  - To figure out the transformation between robot base and camera, you can start with [[https://docs.opencv.org/3.1.0/d5/dae/tutorial_aruco_detection.html|ARUCO tag]]. ARUCO is a standalone library implemented in C++ and wrapped in Python. It is also incorporated into OpenCV after 3.0.0. The ARUCO library provides tools to generate tags and detect printed tags. Can you generate tags and draw the pose for them?
+  - To figure out the transformation between robot base and camera, you can start with [[https://docs.opencv.org/3.1.0/d5/dae/tutorial_aruco_detection.html|ARUCO tag]]. [[https://github.com/ivalab/aruco_tag_saver|Here]] is the github repository in IVAlab for using kinect to use ARUCO. ARUCO is a standalone library implemented in C++ and wrapped in Python. It is also incorporated into OpenCV after 3.0.0. The ARUCO library provides tools to generate tags and detect printed tags. Can you generate tags and draw the pose for them?