Changes and new features in JeVois 1.4

JeVois 1.4 brings the following new features:

• New /jevois/share/ directory to store data that may be shared across several machine vision modules, such as neural network config files and weights, pre-trained classifiers, etc
• Object recognition on ImageNet (1000 object categories) and Pascal VOC using Darknet and Darknet YOLO. Not fully optimized for speed yet but already looking very promising.
  
  See two new modules in jevoisbase:
  • DarknetSingle passes a central 224x224 crop to a Darknet neural network. The neural network precicts the top N object category candidates (among 1000 possible from imagenet), and those above a minimum confidence threshold are shown and sent to serial.
  • DarknetYOLO passes a whole 640x480 frame to a Darknet YOLO (you only look once) network that combines detection (finding where objects might be) and identification (what objects are) for all objects in the scene in one pass.

• A few more image conversion functions in RawImageOps.H
• New machine vision modules for ARtoolkit (ultra fast detection of augmented reality markers), Darknet, Darknet YOLO.
• Updated RoadNavigation module to output correct VP information.
• New tutorial on how to build a simple vision-guided mobile robot