Some useful (or not so much) Python stuff for Google Colab notebooks
Click on a code cell and paste:
!pip install git+https://github.com/ricardodeazambuja/colab_utils.git
Then alt+enter or shift+enter to execute.
- Notebook with examples of each function.
- Object Detection and Segmentation, kind of real-time, directly from your webcam.
And here is the output while the segmentation was running on colab getting images from my webcam (live):
*And before anyone asks, yes, I wear Star Wars pijamas... only during quarantine ;)
Improve the code because right now it's a mess, as non-optimal as it gets, but it works and it's cool to do stuff directly using Google Colab ;)
- ExecThatCell: (Re)Execute a Jupyter (colab) notebook cell programmatically by searching for its label.
- Maple-Syrup-Pi-Camera: Low power('ish) AIoT smart camera (3D printed) based on the Raspberry Pi Zero W and Google Coral EdgeTPU
- The CogniFly Project: Open-source autonomous flying robots robust to collisions and smart enough to do something interesting!
- Bee: The Bee simulator is an open source Spiking Neural Network (SNN) simulator, freely available, specialised in Liquid State Machine (LSM) systems with its core functions fully implemented in C.