Carnets vs SensorStream, powered by ROS 2

Jupyter notebooks are a powerful tool used in education and research. You can write small snippets of Python code and observe the result on screen, combine with paragraphs of text, using Markdown. Carnets provides a complete, stand-alone, implementation of Jupyter notebooks. Everything runs on your device, using the embedded Python interpreter; you do not need an internet connection. You can chose between Jupyter notebooks and the more advance Jupyterlab using Settings. Numpy, Sympy, Matplotlib, Pandas, lxml, bokeh, nbextensions (including ipywidgets) and many other packages are pre-installed. To see the full list of installed packages, type "%pip list" in a code window. You can add more packages using "%pip install packageName", but only if they are pure Python. If you need scipy, seaborn or scikit-learn, please use our other App, "Carnets - Jupyter (with scipy)". You can share your notebooks with other apps and also open notebooks or directories managed by other apps. Partial list of installed packages: astropy, babel, bokeh, cryptography, cvxopt, Fiona, geopandas, geopy, lxml, matplotlib, numpy, openCV, pandas, pillow, pyFFTW, pyproj, rasterio, regex, shapely, sympy, wordcloud.

SensorStream turns your iPhone into a sensor platform, streaming LiDAR depth, RGB camera, IMU, and GPS data to your host computer over Wi-Fi or USB. Built for robotics prototypers, researchers, or anyone who wants to use the iPhone's powerful built-in sensor suite. SENSOR STREAMS • LiDAR Depth — 256×192 depth frames at up to 30 FPS from front and back (Wide) cameras (requires a LiDAR-equipped iPhone) • RGB Camera — JPEG-compressed colour frames at up to 30 FPS from the wide-angle camera, or front-facing camera • IMU — accelerometer, gyroscope, and quaternion orientation data at a configurable frequency • GPS — GNSS position TRANSPORT OPTIONS • Wi-Fi (TCP) — connect wirelessly over your local network; scan the server's QR code from the app for instant pairing • USB — low-latency wired connection via PeerTalk / iproxy for demanding real-time applications INTEGRATION • Driver for integration with ROS 2 — a companion driver publishes sensor data directly to ROS 2 topics (/depth_image, /color_image/compressed, /imu/data, /gps/fix) using sensor_msgs message types ON-DEVICE PREVIEW • Real-time depth overlay with adjustable min/max range and colour thresholds • Live camera preview • IMU visualiser for orientation feedback • Per-sensor toggles and settings — configure each sensor independently before streaming HOW IT WORKS 1. Start the companion driver on your computer 2. Open SensorStream, go to Settings → Network, and connect via Wi-Fi (scan the QR code or enter IP/port manually) or USB. 3. Enable the sensors you need on the Dashboard. 4. Tap Start Streaming, that's it. REQUIREMENTS • iPhone with iOS 15.6 or later • LiDAR sensor required for depth streaming (iPhone 12 Pro and later) • Host computer running Python 3.9+ and ROS 2 Humble for the companion server