ros_object_detector

This package uses Tensorflow to power an object detection and localization algoriithm (built by the user) located in the "include/obj_detector" folder. The main script that does the heavy lifting, "src/tf_object_detector.py", looks for a /camera1/cam1/image_raw node to subscribe to, performs detection and localization, and republishes the image with bounding boxes.

This is an alpha, "it works on my laptop" release.

#TODO

• Publish all the data returned by tensorflow (classifications, probabilities, box coordinates, etc)
• Make python file available through rosrun
• Make python file not dependent on being executed in its directory
• Add msg files for the different node publications
• Make parameters (model location, buffer size, camera node, etc.) configurable at runtime instead of hard-coded
• Make parameters definable in a parameter file
• Edit roslaunch to execute all relevant objects, not just the camera

Any feedback is welcome.