Detects an object's location using photogrammetry. Currently utilizes the Raspberry Pi with a camera module running Open-CV for object detection. Runs a server that provides a live video stream.
"sudo apt-get update"
"sudo apt-get upgrade"
1. sudo raspi-config > 5 Enable Camera > Enable > Reboot
2. put camera module towards the closer end of the ethernet cable on pi, with the blue facing the ethernet.
"vcgencmd get_camera": Checks if the camera is supported or detected
pull up the pin connectors, put in the camera, then push it back down.
3. "raspistill -o image.jpg" for pics
4. "raspivid" -o video.h264 -t 10000" for videos
Select Interface Options, then Pi Camera and toggle on. Press Finish and exit.
You can verify that the camera works by running
raspistill -o image.jpg
which will save a image from the camera in your current directory. You can open up the file inspector and view the image.
- 1.1. Enable SSH on the Pi (if it is not already enabled)
- 1.1.1. Enter sudo raspi-config in a terminal window
- 1.1.2. Select Interfacing Options
- 1.1.3. Navigate to and select SSH
- 1.1.4. Choose Yes
- 1.1.5. Select Ok
- 1.1.6. Choose Finish
The following commands starting from 1.2 are to be run on your local machine, not the Pi.
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1.2. Install Python 2.7.13
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1.3. Install OpenCV 3.4.0
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1.3.1. For Windows, follow this guide to install OpenCV: http://opencvpython.blogspot.ca/2012/05/install-opencv-in-windows-for-python.html
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1.3.2. Follow this: https://stackoverflow.com/questions/11699298/opencv-2-4-videocapture-not-working-on-windows
- copy opencv_ffmpeg340.dll to C:/Python27 (where 340 is the OpenCV version 3.4.0)
- copy opencv_ffmpeg340_64.dll to C:/Python27 (where 340 is the OpenCV version 3.4.0)
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1.4. Install the libraries using the following commands:
pip install imutils
pip install flask
pip install picamera[array]
pip install paramiko
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2.1. Turn on the Pi, and ensure it is connected to the same Wi-Fi network as your local machine.
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2.2. Find the IP address by running 'ifconfig' and looking at wlan0 > inet addr
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2.3. Replace the IP address in main.py from the one found in step 5.
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2.4. Run
python main.py
- https://www.pyimagesearch.com/2015/02/23/install-opencv-and-python-on-your-raspberry-pi-2-and-b/
- https://www.pyimagesearch.com/2015/03/30/accessing-the-raspberry-pi-camera-with-opencv-and-python/
- Install the libraries using the following commands:
pip install imutils
pip install flask
pip install picamera[array]
Run the following commands:
source ~/.profile
workon cv
sudo modprobe bcm2835-v4l2
Note: The modprobe bcm2835-vl2 command prevents a common OpenCV assertion error when using the Pi Camera.
Go to the folder where this repository is stored, go to /alpha and run the following:
python main.py
You can view a live stream by visiting the ip address of your pi in a browser on the same network. You can find the ip address of your Raspberry Pi by typing ifconfig in the terminal and looking for the inet address.
Visit <raspberrypi_ip>:5000 in your browser to view the stream.
Alternatively, you can run a simple tracking app in /alpha/test to ensure the proper HSV values for object tracking.
python tracking.py
source ~/.profile
workon cv
python
>>> import cv2
>>> cv2.__version__