You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This commit was created on GitHub.com and signed with GitHub’s verified signature.
The key has expired.
v3.7.x
Add support for the new Neural Depth mode
Add support for head detection model
Add support for sport-related object class
Add support for X_MEDIUM neural network models
Enable AI for ZED Mini
Add new <zed>_base_link frame on the base of the camera to easily handle camera positioning on robots. Thx @civerachb-cpr
Improve URDF by adding 3° slope for ZED and ZED2, X-offset for optical frames to correctly match the CMOS sensors position on the PCB, X-offset for mounting screw on ZED2i
Add zed_macro.urdf.xacro to be included by other xacro file to easily integrate ZED cameras in the robot descriptions. See PR #771 for details. Thx @civerachb-cpr
New parameter save_area_memory_db_on_exit to force Area Memory saving when the node is closed and Area Memory is enabled and valid.
Add service save_Area_map to trigger an Area Memory saving.
New tool function to transform a relative path to absolute.
Enabled static IMU TF broadcasting even it publish_tf is set to false, making the two options independent. Thx to @bjsowa
Moved the zed_interfaces folder in the new zed-ros-interfaces repository. The new repository is useful to receive the topics from a ZED node on system where the zed-ros-wrapper repository cannot be fully installed, i.e. systems without CUDA support. For this repository nothing changes because the zed_interfaces folder is replaced by the zed-ros-interfaces git submodule to automatically satisfy all the dependencies.
Fix sensors topics pubblication for ZED2i. The support for the new camera was not complete
Fix sensor_msgs type for depth image in OpenNI mode, from sensor_msgs::image_encodings::mono16 to sensor_msgs::image_encodings::TYPE_16UC1. Depth image in OpenNI mode is now compatible with the nodelet depthimage_to_laserscan