Update docs

doc/manuals/index.rst

@@ -42,7 +42,7 @@ Contents:
    example_links/visualizing_detections_in_gui
    example_links/scoring_and_roc_generation
    example_links/external_plugin_creation
-   KWIVER Manual <http://kwiver.readthedocs.io/en/latest/>
+   KWIVER Full Manual <http://kwiver.readthedocs.io/en/latest/>
 
 
 .. |br| raw:: html

examples/detector_pipelines/README.rst

@@ -27,9 +27,9 @@ Requirements
 | run_lanl.sh/bat - VIAME_ENABLE_MATLAB
 
 
-**************************************
-Running the object detection exammples
-**************************************
+*************************************
+Running the object detection examples
+*************************************
 
 Each run script contains 2 calls. A first ('source setup_viame.sh') which
 runs a script configuring all paths required to run VIAME calls, and a second

examples/detector_training/README.rst

@@ -1,7 +1,7 @@
 
-=====================
-Detector Training API
-=====================
+==========================
+Detector Training Examples
+==========================
 
 The common detector training API is used for training multiple object
 detectors from the same input format for both experimentation and

examples/image_and_video_search/README.rst

@@ -1,34 +1,40 @@
 
-==============================================
-Image and Video Search, Rapid Model Generation
-==============================================
+===============================
+Image and Video Search Examples
+===============================
 
 This directory contains methods to accomplish two tasks: 
+
 |
 | (a) Performing image searches on an archive of imagery or videos 
 | (b) Quickly training up detection models for new categories of objects 
 |
+
 Only Linux and Mac are currently supported for running these examples. 
 
+********************
 Image Archive Search
---------------------
+********************
 
 The "smqtk_on_chips" directory contains multiple methods for running image
 queries on an image archive, including: 
+
 |
 | (a) Indexing descriptors around each full input image as-is. 
 | (b) Tiling up each input image into fixed-size tiles. 
 | (c) Indexing descriptors around detections generated by arbitrary detectors. 
 |
+
 This primarily uses the SMQTK toolkit and is designed for images, not videos.
 A web-based GUI is provided which allows new queries based on an input query
 image, and the refinement of results via iterative query refinement (IQR).
 IQR generates an SVM classifier on user-nominated positive and negative
 examples from the result set to refine results.
 
 
+********************
 Video Archive Search
---------------------
+********************
 
 Video archive search can be performed via a few methods. The default includes
 a pipeline which generates object detections, tracks, and lastly temporal
@@ -38,3 +44,14 @@ table, or other). At query time, descriptors on a query image or video are
 matched against the entries in this database. A default GUI (provided via
 the VIVIA toolkit) is provided which has similar capabilities to the SMQTK
 GUI, ie, search and IQR.
+
+
+======================
+Rapid Model Generation
+======================
+
+Rapid model generation can be performed in the same way as image and video search,
+just saving out the resultant trained detection models after performing iterative
+query refinement.
+
+Additional documentation coming soon.

examples/tracking_pipelines/README.rst

@@ -1,7 +1,7 @@
 
-=======================
-Object Tracking Example
-=======================
+========================
+Object Tracking Examples
+========================
 
 .. image:: http://www.viametoolkit.org/wp-content/uploads/2018/02/computed_track_example.png
    :scale: 60