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pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.

  • 3d-reconstruction
  • depth-prediction
  • feature-matching
  • global-features

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

  • 3d-object-detection
  • lidar-point-cloud
  • bevmap
  • center

The last Micro Web Server for IoTs (MicroPython) or large servers (CPython), that supports WebSockets, routes, template engine and with really optimized architecture (mem allocations, async I/Os). Ready for ESP32, STM32 on Pyboard, Pycom's chipsets (WiPy, LoPy, ...). Robust, efficient and documented!

Raspberry PI-TIMOLO ( PI-TImelapse, MOtion, LOwLight ) uses RPI picamera and OpenCV for Remote Headless Security Monitoring using Motion Tracking, Rclone Auto Sync files with remote storage services. Auto Twilight Transitions and Low Light Camera Settings. Panoramic images using PanTiltHat and More. This project is featured on GitHub Awesome software.

Set of tools for security testing of Internet of Things devices using specific network IoT protocols

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

  • ros
  • ros-kinetic
  • ros-packages
  • rviz

The Raspberry Pi Telegram Bot is a lightweight, customizable bot built for Raspberry Pi users. It leverages Python and the Telegram Bot API to enable users to execute commands, receive updates, and automate processes from their Telegram account. Ideal for DIY projects, home automation, and remote control applications, this bot is easy to set up .

This MicroPython library provides a framework for interacting with HD44780-based LCD displays through a PCF8574 I/O expander. It offers a high-level API for LCD control, including text display, cursor manipulation, and backlight settings, while also providing lower-level access to the GPIO operations on the PCF8574.