mjdargen

Thanks for following up! Glad you were able to get it working! The reaction time of the video is just a factor of how much compute power your Raspberry Pi has. Image detection is pretty computationally intensive. For example, my RPi 3 is quite laggy while my RPi4 with 4GB of RAM is pretty close to real time. A Coral USB Accelerator would definitely help provide more computational power to your Pi and speed up the program. Best of luck!

You are likely getting this error because you are not running the code inside of the virtual environment. The installation script creates a virtual environment called TMenv in which it installs all of the packages. If you do not activate the virtual enviroment each time, you will not be able to access packages such as Tensorflow. I did this so it would not pollute your default Python environment.On another note, I just updated the installation script to mitigate some issues with an older version of Tensorflow. I would pull the updates so you can use Tensorflow 2.4.0 and avoid some of the issues that others ran into.

Awesome! Glad you were able to get it working. Thanks for providing the update.

If you are hearing a single tone, that means you are using an active buzzer and not a passive buzzer. Active buzzers have internal circuitry and just need a DC signal to emit a single frequency. You can't change the frequency of the tone as that is controlled by the internal circuitry. You want to use a passive buzzer which requires a pulse signal at certain frequencies to generate a tone. This will allow you to use the tone() function in the code to play the songs.

That is odd. It has worked for others and all of the other computers I have tried it on. You can try installing "pip install opencv-contrib-python" to see if that fixes the issue. You have been trying to run the YOLO object detection algorithm. Have you tried to see if the Teachable Machine object detection algorithm works?

What did it say when you tried to install openCV?

Activate your virtual environment and type "pip list". Does it show opencv-python as installed? If it's not installed, try it again. You could also try installing "pip install opencv-contrib-python" if that doesn't work.

Bummer. For some reason, it seems like your machine does not have support for TensorFlow. That is why the original installation script did not work.What is the make and model of your PC? I would try searching online for solutions to see if anyone has found any workaround solutions to install TensorFlow on your specific machine. If you send me the information, I can try to look around as well.

Yeah, it seems like it should be supported by that machine. The best thing I can recommend is uninstalling your current version of Python and try reinstalling Python 3.7.6. Make sure you select custom installation and check all of the boxes. Then try running the installation script again. Hopefully that helps and there was just some issue with your first Python installation.

Ahhhh... I believe we just found your issue. It looks like there is not a TensorFlow distribution for your operating system distribution. In the message you received, it lists the supported versions as "none". If there were supported versions for your operating system, it would list out all the version numbers "(from versions: 1.13.1, 1.13.2, 2.0.0, etc....)". See the attached image for when I try to install version 7.0.0 (which doesn't exist) on my system. It shows a list of all of the supported TensorFlow versions for my system. What operating system and version of Python are you running? We may be able to find a workaround solution to install it.

I thought that's what you had been doing. First, make sure pip is up to date by running "pip install --upgrade pip". Try installing TensorFlow in the virtual environment by saying "pip install tensorflow==2.0.0". If that doesn't work, try installing TensorFlow outside of the virtual environment by deactivating the environment and saying "pip install tensorflow==2.0.0".If those two things don't work, you can specify the direct location of the package from Google. Run "python3 -m pip install --upgrade https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-2.1.0-cp37-cp37m-win_amd64.whl" in your virtual environment. If that doesn't work, try it again outside of the virtual environment. If none of that works, try and send me a copy of the …

I thought that's what you had been doing. First, make sure pip is up to date by running "pip install --upgrade pip". Try installing TensorFlow in the virtual environment by saying "pip install tensorflow==2.0.0". If that doesn't work, try installing TensorFlow outside of the virtual environment by deactivating the environment and saying "pip install tensorflow==2.0.0".If those two things don't work, you can specify the direct location of the package from Google. Run "python3 -m pip install --upgrade https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-2.1.0-cp37-cp37m-win_amd64.whl" in your virtual environment. If that doesn't work, try it again outside of the virtual environment. If none of that works, try and send me a copy of the error messages so I can help you further. Hopefully, one of those steps does the trick for you! Nor sure why your Python environment is having issues finding the TensorFlow package.

Hmm. Try activating your virtual environment, then running the command "pip install tensorflow==2.0.0". Make sure you are in your virtual environment. It should say the virtual environment name in parenthesis at the beginning of the line in your terminal: (TMenv). Let me know if that works or if you get any specific error messages.

Thanks! The installation script only installs the packages (numpy, tensorflow, and others) into your virtual environment. I did this in an effort to avoid polluting your standard Python environment with package versions you might not need for other programs.To use those packages, you will need to activate your virtual environment. You should then be able to type "pip list" and see the list of packages installed in your virtual environment. Let me know if that doesn't work and I can try to help you out some more! You may need to run the installation script again and monitor the messages to see if there are any specific errors I can help you with. Thanks for checking out the project!

Thanks for checking out my project. Did you run the full installation script? The installation script installs TensorFlow into a Python virtual environment on your machine. Make sure you select the installation script for your operating system and make sure that you activate your virtual environment before trying to run the Python script.To make sure TensorFlow is installed correctly in your virtual environment, open up a terminal and navigate to the location where your virtual environment was created ("cd ~/Documents/Teachable-Machine-Object-Detection" or wherever). Activate your virtual environment ("source TMenv/bin/activate" for Mac/Linux OR"TMenv/Scripts/activate" for Windows). Then run "pip list" or "pip3 list" to view all of the dif…

Thanks for checking out my project. Did you run the full installation script? The installation script installs TensorFlow into a Python virtual environment on your machine. Make sure you select the installation script for your operating system and make sure that you activate your virtual environment before trying to run the Python script.To make sure TensorFlow is installed correctly in your virtual environment, open up a terminal and navigate to the location where your virtual environment was created ("cd ~/Documents/Teachable-Machine-Object-Detection" or wherever). Activate your virtual environment ("source TMenv/bin/activate" for Mac/Linux OR"TMenv/Scripts/activate" for Windows). Then run "pip list" or "pip3 list" to view all of the different Python packages installed in your virtual environment. You should see all of the packages that were installed in the installation script including TensorFlow. If not, you will need to re-run the installation script. Let me know if that helps! Thanks!

Thanks so much! I am really happy to hear the installation script worked well for you. It took me a long time to work out all the kinks in the installation steps, but I was determined to get it right so I could easily replicate the environment for myself!Glad you were able to get it working with your camera. I was using an older V1.3 which has a different size and aspect ratio. Hope you're able to make some cool stuff now that you have the environment all set up on your Raspberry Pi!

Thanks! And thank you for sharing this. That's a really cool gizmo and a great way to visualize how a 555 timer works.

Glad you enjoyed it! Thanks for sharing your project. Maybe as my students advance a little more, we can play around with something like you discussed!