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| Programming Language: | Python 3.5 |
The people counter application will demonstrate how to create a smart video IoT solution using Intel® hardware and software tools. The app will detect people in a designated area, providing the number of people in the frame, average duration of people in frame, and total count.
The counter will use the Inference Engine included in the Intel® Distribution of OpenVINO™ Toolkit. The model used should be able to identify people in a video frame. The app should count the number of people in the current frame, the duration that a person is in the frame (time elapsed between entering and exiting a frame) and the total count of people. It then sends the data to a local web server using the Paho MQTT Python package.
- None
- This project MUST be run in the Udacity workspace. It will not work elsewhere.
To clone my GitHub repo into your Udacity workspace, first select the "Reset Data" function from the Menu in the lower-left corner, to restore the workspace to its default settings. When it asks you to confirm by typing "reset data" into the box, do so.
Resetting the data usually takes a minute or two. After that finishes, use the terminal in the Workspace to enter the following commands:
mkdir ../_old/
mv ./* ../_old/
git init .
git remote add origin https://github.com/JamesDBartlett/intel-p1-people-counter.git
git pull origin main
Now, since we've replaced all of the code files in the workspace, we need to re-load the Jupyter tabs, so they display the ones we've just downloaded. Open the File menu, and select "Close All Tabs." Then, open the File Browser pane, and double-click the file "Guide.ipynb." This will automatically re-open all of the default tabs, and they will now contain the updated code.
From the /home/workspace directory:
- To launch everything, simply run the big_red_button.sh script by typing this command into the terminal:
./big_red_button.sh
Wait for the script to install and launch the back-end services. This usually takes 2-3 minutes. When the script finishes its setup stage, you will be prompted to click the “Open App” button to view the output. Do that.
That's all!