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.
v4.2.x
Add new OPTIMIZED mode for general.pub_resolution
Add new parameter general.async_image_retrieval to enable/disable the asynchronous image retrieval to be used with SVO recording.
Set the Positional Tracking Mode to GEN_1 as default as wa orkaround for the random crash issue caused by GEN_2 mode.
Fixed a bug for raw gray image publisher on Zed One Component: raw gray images were not published when the rectified image topic was subscribed. Thx @Alex-Beh
Enabled grayscale output for ZED X One cameras (SDK v4.2.3 required)
Enabled streaming input for ZED X One cameras (SDK v4.2.3 required)
Fixed wrong range check for the general.pub_downscale_factor parameter
Enhanced sensor thread rate due to an automatically adjusting sleep time
Removed the zed-ros2-interfaces sub-module. The zed_msgs package is now included in ROS 2 Humble binaries and can be installed with sudo apt install ros-humble-zed-msgs.
Fixed 4K resolution support for ZED X One 4K cameras
Changed C++ version to 17 to follow ROS 2 Humble standard
Renamed common.yaml to common_stereo.yaml
Added common_mono.yaml for monocular cameras
Added video.enable_hdr to zedxone4k.yaml for monocular 4K cameras
Changed the name of the package zed_interfaces to zed_msgs to match the ROS2 naming convention
Added the new stereolabs::ZedCameraOne component to handle ZED X One cameras
Removed the ZED Wrapper executable node.
Modified the launch file to create an isolated composable container that loads the stereolabs:ZedCamera or the stereolabs:ZedCameraOne component according to the camera model
Added support for custom ONNX detection engine (SDK v4.2 required)
Added value CUSTOM_YOLOLIKE_BOX_OBJECTS to the object_detection.model parameter
Added parameter object_detection.custom_onnx_file to set the full path of the custom ONNX file
Added parameter object_detection.onnx_input_size to set the size of the YOLO input tensor
Added parameter object_detection.custom_label_yaml to set the full path to custom YAML file storing class labels in COCO format