`isaac_ros_dnn_image_encoder`

Source code on GitHub.

API

ROS Parameter	Type	Default	Description
`input_image_width`	`uint16_t`	`0`	The input image width.
`input_image_width`	`uint16_t`	`0`	The input image height.
`network_image_width`	`uint16_t`	`0`	The image width that the network expects. This will be used to crop the input `image` width.
`network_image_height`	`uint16_t`	`0`	The image height that the network expects. This will be used to crop the input `image` height.
`image_mean`	`double list`	`[0.5, 0.5, 0.5]`	The mean of the images per channel that will be used for normalization.
`image_stddev`	`double list`	`[0.5, 0.5, 0.5]`	The standard deviation of the images per channel that will be used for normalization.
`num_blocks`	`int`	`40`	The number of pre-allocated memory blocks, should not be less than `40`.
`bbox_loc`	`int64_t list`	`[-1, -1]`	Top left location (x,y) of the bounding box (region of interest) to crop the input image. If the default value is used, then a center crop is performed.

ROS Topic	Interface	Description
`image`	sensor_msgs/Image	The image that should be encoded into a tensor.

Warning

All input images are required to have height and width that are both an even number of pixels.

ROS Topic	Interface	Description
`encoded_tensor`	isaac_ros_tensor_list_interfaces/TensorList	The resultant tensor after converting the `image`.