update links and project

Author: jpinkney-mathworks

README.md

@@ -1,13 +1,13 @@
 # Face Detection and Alignment MTCNN
 
-## [__Download the toolbox here__](TODO)
+## [__Download the toolbox here__](https://github.com/matlab-deep-learning/mtcnn-face-detection/releases/latest/download/MTCNN%20Face%20Detection.mltbx)
 
 This repository implements a deep-learning based face detection and facial landmark localization model using [multi-task cascaded convolutional neural networks (MTCNNs)](https://kpzhang93.github.io/MTCNN_face_detection_alignment/). 
 
 - [📦 Installation](#installation)
-- [🏁 Getting Started](#getting-started)
+- [ðŸ?? Getting Started](#getting-started)
 - [🔎😄 Usage](#usage)
-- [❓ About](#about)
+- [â?“ About](#about)
 - [💬 Contribute](#contribute)
 
 _Note: This code supports inference using a pretrained model. Training from scratch is not supported. Weights are imported from the [original MTCNN model](https://kpzhang93.github.io/MTCNN_face_detection_alignment/) trained in Caffe._
@@ -19,7 +19,7 @@ _Note: This code supports inference using a pretrained model. Training from scra
   - Deep Learning Toolbox
   - Computer Vision Toolbox
   - Image Processing Toolbox
-- Download the [latest release](TODO_add_link) of the Face Detection and Aligment MTCNN. To install, open the .mltbx file in MATLAB.
+- Download the [latest release](https://github.com/matlab-deep-learning/mtcnn-face-detection/releases/) of the Face Detection and Aligment MTCNN. To install, open the .mltbx file in MATLAB.
 
 ## Getting Started
 
@@ -62,10 +62,10 @@ _Face detection from MTCNN in yellow, detections from the built in vision.Cascad
 
 ## Contribute
 
-Please file any bug reports or feature requests as [GitHub issues](TODO_add_link). In particular comment on the following two issues if they interest you!
+Please file any bug reports or feature requests as [GitHub issues](https://github.com/matlab-deep-learning/mtcnn-face-detection/issues). In particular comment on the following two issues if they interest you!
 
-- [Support training MTCNN](TODO_add_link)
-- [Support MATLAB versions earlier than R2019b](TODO_add_link)
+- [Support training MTCNN](https://github.com/matlab-deep-learning/mtcnn-face-detection/issues/1)
+- [Support MATLAB versions earlier than R2019b](https://github.com/matlab-deep-learning/mtcnn-face-detection/issues/2)
 
 
 _Copyright 2019 The MathWorks, Inc._

mtcnn.prj

@@ -1,11 +1,12 @@
 <deployment-project plugin="plugin.toolbox" plugin-version="1.0">
-  <configuration build-checksum="4177056607" file="C:\code\internal\mtcnn\mtcnn.prj" location="C:\code\internal\mtcnn" name="mtcnn" target="target.toolbox" target-name="Package Toolbox">
+  <configuration build-checksum="4177056607" file="C:\code\internal\mtcnn-face-detection\mtcnn.prj" location="C:\code\internal\mtcnn-face-detection" name="mtcnn" target="target.toolbox" target-name="Package Toolbox">
     <param.appname>MTCNN Face Detection</param.appname>
     <param.authnamewatermark>Justin Pinkney</param.authnamewatermark>
     <param.email>[email protected]</param.email>
     <param.company>MathWorks</param.company>
     <param.summary>Face detection and landmark localisation using deep learning.</param.summary>
-    <param.description>This repository implements deep learning based face detection and facial landmark localisation using Multi-Task Cascaded CNNs.</param.description>
+    <param.description>This repository implements deep learning based face detection and facial landmark localisation using Multi-Task Cascaded CNNs.
+For more details see the GitHub repository: https://github.com/matlab-deep-learning/mtcnn-face-detection</param.description>
     <param.screenshot>${PROJECT_ROOT}\doc\logo.png</param.screenshot>
     <param.version>1.0</param.version>
     <param.output>${PROJECT_ROOT}\MTCNN Face Detection.mltbx</param.output>
@@ -96,7 +97,7 @@
     <fileset.depfun.excluded />
     <fileset.package />
     <build-deliverables>
-      <file location="${PROJECT_ROOT}" name="MTCNN Face Detection.mltbx" optional="false">C:\code\internal\mtcnn\MTCNN Face Detection.mltbx</file>
+      <file location="${PROJECT_ROOT}" name="MTCNN Face Detection.mltbx" optional="false">C:\code\internal\mtcnn-face-detection\MTCNN Face Detection.mltbx</file>
     </build-deliverables>
     <workflow />
     <matlab>