+
+
+
+
+
+
+ windows_start.bat script. This will start the API server and the backend analysis services. Rerun that script whenever you want to launch the service.
+Unzip the download and double click the Start_SenseAI_Win.bat script. This will start the API server and the backend analysis services. Rerun that script whenever you want to launch the service.
-To **explore CodeProject.SenseAI** open the /demos/dotNET/CodeProject.SenseAI.Playground folder and double click on the CodeProject.SenseAI.Playground.exe application. The server will, of course, need to be running for this test application to function. Sample images can be found in the TestData folder under the demos folder
+To **explore CodeProject.SenseAI** open the /demos/Javascript/ folder and double click on the Vision.html page. The server will, of course, need to be running for this test application to function. Sample images can be found in the TestData folder under the demos folder
### Setting up the development environment
@@ -78,11 +80,13 @@ You'll need the following extensions
To build and run:
1. Clone the [CodeProject.SenseAI repository](https://github.com/codeproject/CodeProject.SenseAI.git) from GitHub
-2. Open the main application folder in VSCode
-3. Click the "Run and Debug" button on the left hand tab bar (the arrow)
-4. From the dropdown at the top of the window, select CodeProject.SenseAI Playground
+2. run /install/setup_dev_env_win.bat. This will download required assets, setup the Python
+ virtual environment and set environment variables.
+3. Open the main application folder in VSCode
+4. Click the "Run and Debug" button on the left hand tab bar (the arrow)
+5. From the dropdown at the top of the window, select CodeProject.SenseAI Playground
-5. CLick the green arrow next to the dropdown
+6. CLick the green arrow next to the dropdown
The Demo application (CodeProject.SenseAI Playground) should launch after the code has built and the Python backed fully installed.
@@ -91,10 +95,20 @@ The Demo application (CodeProject.SenseAI Playground) should launch after the co
1. Clone the [CodeProject.SenseAI repository](https://github.com/codeproject/CodeProject.SenseAI.git) from GitHub
2. Ensure you have the Python workflow enabled in Visual Studio. While not critical, it does help with debugging.
-3. Open the solution in Visual Studio and build the entire solution
-4. In Solution Explorer, open demos / .NET and right-click on CodeProject.SenseAI.Playground and choose Debug -> Start new instance.
-5. In Solution Explorer, open src / API and right-click on FrontEnd and choose Debug -> Start new instance. **Matthew: what's the better way of doing this?**
-6. In Solution Explorer, open src / AnalysisLayer. Right click on DeepStack and choose Open Folder in File Explorer. Double click on the start.bat script
+3. run /install/setup_dev_env_win.bat. This will download required assets, setup the Python virtual environment and set environment variables. **This will take several minutes, so please be patient.**
+4. Open the solution in Visual Studio and build the entire solution
+5. To run the Server and the demo application in DEBUG you can either
+ 1. Start both the projects in debug mode by
+ 1. In Solution Explorer, open demos / .NET and right-click on CodeProject.SenseAI.Playground and choose Debug -> Start new instance.
+ 2. In Solution Explorer, open src / API / Server and right-click on FrontEnd and choose Debug -> Start new instance.
+ 2. Configure Visual Studio to start multiple projects by
+ 1. In Solution Explorer, right-click on the solution and select **Set Startup Projects...** and configure Multiple startup projects as shown below.
+ 
+ 3. Now when you start with or without debugging, both the Server and demo projects with start. Also, this will be shown on the toolbar as shown below.
+ 
+
+6. In Solution Explorer, open src / AnalysisLayer. Right click on DeepStack and choose Open Folder in File Explorer. Double click on the start.bat script. This script will ensure that the Python virtual environment is enabled and environment variables set.
+
At this point the Playground application should be indicting it has a connection to the API server, and the servwe should be dispatching requests to the backend Analysis layer.
diff --git a/demos/Javascript/Vision.html b/demos/Javascript/Vision.html
index 8e2eafe8..97f1fb80 100644
--- a/demos/Javascript/Vision.html
+++ b/demos/Javascript/Vision.html
@@ -4,42 +4,130 @@