Stand-alone depth camera simulation using opengl for hardware acceleration
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Updated
Oct 1, 2025 - C
Stand-alone depth camera simulation using opengl for hardware acceleration
Docker-based virtual ONVIF camera simulator using macvlan networking. Creates discoverable IP cameras with unique MAC addresses for testing and development.
A YAML-powered Python project to interface with C4D / Blensor to simulate sensor output during the deployment of CubeSats from a NanoRacks ISS deployer.
Fake RTSP camera streams via Docker — simulate any camera fleet for NVR, VMS, and computer vision testing
An OpenCV 3D renderer that uses projection to show 3D primitives on screen.
Self-hostable app that adds authentic camera and film characteristics — sensor grain, lens optics, chromatic aberration, camera EXIF — to digital renders and synthetic media. Built for VFX/film-look grading, color grading, and computer-vision robustness training data.
Comprehensive web-based tool for simulating and analyzing surveillance camera Field of View (FoV) on digital maps.
Use open3d and camera model to generate rendered mesh with background image data
Simulate a camera model, based on Python and Numpy
Allows for configuring simulated physical cameras in Unity and extracting screenshots along with calibrated data for external use in pixel matching.
A simple tool to simulate fisheye and wide-angle lens distortions using OpenCV. It supports distortion strength and randomized color effects
A free, privacy-focused browser tool that adds physically-ordered camera imperfections and real JPEG artifacts to images. 14 effects, per-effect regions, presets — 100% local processing, no uploads.
Measured ISO12233:2000 chart reconstruction with Python and drawsvg for camera simulation and ISP image-quality experiments
A YAML-powered Python project to interface with C4D / Blensor to simulate the deployment of CubeSats from a NanoRacks ISS deployer.
Does camera RAW processing (ISP) matter for VLA robot policies? LIBERO-Plus reproduction + pre-registered ISP noise-reduction probe for OpenVLA-OFT, on one 16 GB GPU.
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