setup_rpi_for_tflite.sh

## Sep 2023 update: We've released official support for MediaPipe on Raspberry Pi. 
## It provides many more features to what's available in TFLite Task Library. The guide
## below has been updated to use MediaPipe instead of TFLite Task Library.
## Check out this blog post to learn more:
## https://developers.googleblog.com/2023/08/mediapipe-for-raspberry-pi-and-ios.html

# Show your Raspberry Pi OS version.
cat /etc/os-release

# Update packages on your Raspberry Pi OS.
sudo apt-get update

# Check your Python version. You should have Python 3.8 or later.
python3 --version

# Install virtualenv and upgrade pip.
python3 -m pip install --user --upgrade pip
python3 -m pip install --user virtualenv

# Create a Python virtual environment for the MediaPipe samples (optional but strongly recommended)
python3 -m venv ~/mp

# Run this command whenever you open a new Terminal window/tab to activate the environment.
source ~/mp/bin/activate

# Clone the MediaPipe samples repository with the MediaPipe Raspberry Pi samples.
git clone https://github.com/googlesamples/mediapipe.git
cd mediapipe/examples/object_detection/raspberry_pi

# Install dependencies required by the sample
sh setup.sh

# Run the object detection sample
# **IMPORTANT**: If you SSH to the Pi, make sure that:
#  1. There is a display connected to the Pi.
#  2. Run `export DISPLAY=:0` before proceed to make the object_detection window appear on the display.
python detect.py

####
# If you see an error running the sample:
# ImportError: libcblas.so.3: cannot open shared object file: No such file or directory
# you can fix it by installing an OpenCV dependency that is missing on your Raspberry Pi.
sudo apt-get install libatlas-base-dev

@dannyhung1 here are a couple of basic methods to try. If the method does not work, make sure to revert any changes before moving to the next step.

1. Try running: sudo python detect,py
2. Pass the argument in the terminal when calling the script with: python detect.py --device 1
   • The default device is 0, but always good to test with another device number
3. Replace cap.read() with cap.open() in the detect.py script
4. Modify the config file to include start_x=1 and comment out camera_auto_detect=1
   • There probably is no additional support for the legacy camera stack so this may not work.
   • If this does work it is likely an issue with trying to use the V4L2 driver and the camera module with the script.

If none of these work, there are additional steps that you can try. Always good to start simple!

@ldiangelis Thank you for your advice. I have tried all the steps that you suggested but unfortunately none of them works. Would appreciate further suggestions.

Hi! I've had an error when running python detect.py "No module Cv2 found" is it because I'm running the latest version of the OS (bookworm)? I changed the python version to 3.7.3 tho

@khanhlvg Thanks for the help, detect.py is working fine now. But when i tried to use the model maker in colab notebook, i ran into errors. Any suggestions?

Preparing metadata (setup.py) ... done
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Preparing metadata (setup.py) ... done
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ERROR: Cannot install tflite-model-maker==0.1.2, tflite-model-maker==0.2.0, tflite-model-maker==0.2.1, tflite-model-maker==0.2.2, tflite-model-maker==0.2.3, tflite-model-maker==0.2.4, tflite-model-maker==0.2.5, tflite-model-maker==0.3.3, tflite-model-maker==0.3.4, tflite-model-maker==0.4.0, tflite-model-maker==0.4.1, tflite-model-maker==0.4.2 and tflite-model-maker==0.4.3 because these package versions have conflicting dependencies.
ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts

@khanhlvg Hi, when im running python detect.py, im getting the error that no module was found with the name of tflite_support.