updated docs and release notes

docs/docs/ml.xml

@@ -126,6 +126,7 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
                <item>input_rgb_image</item>
                <item>input_rgb_image_sized</item>
                <item>input_rgb_image_pyramid</item>
+               <item>input_grayscale_image_pyramid</item>
                <item>
                   <name>EXAMPLE_INPUT_LAYER</name>
                   <link>dlib/dnn/input_abstract.h.html#EXAMPLE_INPUT_LAYER</link>
@@ -304,6 +305,10 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
                   <name>loss_mean_squared_multioutput</name>
                   <link>dlib/dnn/loss_abstract.h.html#loss_mean_squared_multioutput_</link>
                </item>
+               <item>
+                  <name>loss_mean_squared_per_channel_and_pixel</name>
+                  <link>dlib/dnn/loss_abstract.h.html#loss_mean_squared_per_channel_and_pixel_</link>
+               </item>
             </sub>
          </item>
          <item nolink="true">
@@ -747,6 +752,18 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
          </examples>
       </component>
 
+   <!-- ************************************************************************* -->
+
+      <component>
+         <name>input_grayscale_image_pyramid</name>
+         <file>dlib/dnn.h</file>
+         <spec_file link="true">dlib/dnn/input_abstract.h</spec_file>
+         <description>
+            This input layer is just like <a href="#input_rgb_image_pyramid">input_rgb_image_pyramid</a> 
+            except it takes a grayscale image as input.
+         </description>
+      </component>
+
    <!-- ************************************************************************* -->
 
       <component>

docs/docs/release_notes.xml

@@ -11,6 +11,35 @@
 <!-- **************************************************************************************  -->
 
 <current>
+New Features and Improvements:
+   - Make dlib.full_object_detection take list of dlib.point or dlib.points.
+   - CMake scripts will automatically include the Intel MKL's iomp dll in the
+     output folder to reduce confusion for windows users who haven't added the
+     Intel MKL to their PATH.  This avoids a dll not found error that would
+     otherwise result in that situation.
+   - load_jpeg() now supports loading from a memory buffer.
+   - Added input_grayscale_image_pyramid DNN input layer.
+   - Added loss_mean_squared_per_channel DNN input layer.
+   - Added methods for getting keyboard and mouse clicks to image_window's python API.
+   - Made pkg-config report all needed include and link settings to use dlib.
+
+Non-Backwards Compatible Changes:
+
+Bug fixes:
+   - Setting a point's y coordinate changed x instead, when done from Python.
+     This has been fixed.
+   - Fixed global_function_search's initialization being wrong if explicitly
+     given an empty list of initial function evaluations.
+   - Fixed compile time errors on some uncommon system configurations.
+   - Work around bugs in CUDA runtime on some systems.
+   - Various improvements to CMake built scripts to handle unusual system configurations.
+   - Fixed bug in multi-GPU training of semantic segmentation models.
+
+</current>
+
+<!-- **************************************************************************************  -->
+
+<old name="19.17" date="Mar 10, 2019">
 New Features and Improvements:
    - Added weighted labels to loss_binary_log layer.
    - Added padding option to Python compute_face_descriptor() methods.
@@ -31,7 +60,7 @@ Bug fixes:
    - Fixed broken CUDA memcpy overload.
    - Fixed CMake not finding cusolver in CUDA 10.1. 
 
-</current>
+</old>
 
 <!-- **************************************************************************************  -->
 

docs/docs/term_index.xml

@@ -123,6 +123,7 @@
          <term file="ml.html" name="input_rgb_image" include="dlib/dnn.h"/>
          <term file="ml.html" name="input_rgb_image_sized" include="dlib/dnn.h"/>
          <term file="ml.html" name="input_rgb_image_pyramid" include="dlib/dnn.h"/>
+         <term file="ml.html" name="input_grayscale_image_pyramid" include="dlib/dnn.h"/>
 
          <term file="ml.html" name="dnn_trainer" include="dlib/dnn.h"/>
 
@@ -134,7 +135,8 @@
          <term file="dlib/dnn/loss_abstract.h.html" name="loss_multiclass_log_" include="dlib/dnn.h"/>
          <term file="dlib/dnn/loss_abstract.h.html" name="loss_multiclass_log_per_pixel_" include="dlib/dnn.h"/>
          <term file="dlib/dnn/loss_abstract.h.html" name="loss_multiclass_log_per_pixel_weighted_" include="dlib/dnn.h"/>
-         <term file="dlib/dnn/loss_abstract.h.html" name="loss_mean_squared_per_pixel_" include="dlib/dnn.h"/>
+         <term file="dlib/dnn/loss_abstract.h.html" name="loss_mean_squared_per_channel_and_pixel_" include="dlib/dnn.h"/>
+         <term file="dlib/dnn/loss_abstract.h.html" name="loss_mean_squared_per_channel_" include="dlib/dnn.h"/>
          <term file="dlib/dnn/loss_abstract.h.html" name="loss_ranking_" include="dlib/dnn.h"/>
          <term file="dlib/dnn/loss_abstract.h.html" name="loss_dot_" include="dlib/dnn.h"/>
          <term file="dlib/dnn/loss_abstract.h.html" name="loss_epsilon_insensitive_" include="dlib/dnn.h"/>