TranslatedImage-driven 3D scene generation system. Users provide a reference image and prompt words, and the system generates previewable, replayable, and traceable scene results according to the camera trajectory; official 3D demonstration assets allow direct viewing of color/depth animations and Gaussian point clouds in the browser. Image-driven 3D scene generation system
- 3d
- gaussian-filter
- gaussian-splatting
Verify that the PowerPoint you are about to deliver is exactly the PPTX that passed QA—locally, offline, and with tamper-evident evidence.
- artifact-integrity
- pptx
- python
- supply-chain-security
Zentral is a control plane for secure, observable Apple endpoints in enterprises. Configure, observe, and enforce the desired state of every Apple endpoint. Manage that desired state as code through GitOps and Terraform.
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
- point-cloud
- partition
- semantic-segmentation
- pytorch
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
- ros-kinetic
- camera-calibration
- lidar-camera-calibration
- point-cloud
An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.
- itk
- insight-toolkit
- jupyter
- jupyter-widget
Module for statistical learning, with a particular emphasis on time-dependent modelling
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
honeyλ - a simple, serverless application designed to create and monitor fake HTTP endpoints (i.e. URL honeytokens) automatically, on top of AWS Lambda and Amazon API Gateway
Data validation toolkit for assessing and monitoring data quality.
SA-SSD: Structure Aware Single-stage 3D Object Detection from Point Cloud (CVPR 2020)
Code repository for "TrackEverything: Long Horizon Dense Tracking via De-Duplicating 3D Scene Representations"
- 3d-point-tracking
- point-tracking
Intensity-based_Lidar_Camera_Calibration
- calibration
- lidar
- panoramic
- camera
Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
- semantic-segmentation
- lidar
- semantickitti
- 3d-lidar-data
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
- 3d-object-detection
- 3d-detection
- 3d-deep-learning
- pytorch
Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)
Tools to fingerprint WiFi Access Points running the Broadcom SDK and a list of known affected devices.
A 4B grounding foundation model for physical intelligence. Unifies detection, referring, pointing, OCR, GUI, and layout grounding, achieving SOTA overall across 34 benchmarks and improving robot generalization and data efficiency in controlled evaluations.
Pytorch framework for doing deep learning on point clouds.
🕸️ Blazing fast GraphQL endpoints finder using subdomain enumeration, scripts analysis and bruteforce. 🕸️
Modern honeypot supporting multiple services, realistic website cloning, and AI-powered features
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization
A Wagtail app that makes building GraphQL endpoints a breeze!
- wagtail
- wagtail-cms
- wagtail-plugin
- wagtail-graphql
Python implementation of the Packed Executable iDentifier (PEiD)
- peid
- peid-signature
- pe-file
- pe-files