Palaeontologist: Dinosaur Footprints – Biomechanics – Simulation
I've found VC Code copilot to be invaluable in writing small scripts and the like for, say, visualizing my DEM output in Blender. Just a super way of speeding up tool-building in scenarios where you can immediately tell if it's worked or not. With an education account, you get access to all kinds of top-end... Continue Reading →
As I’d previously noted, RealityCapture has been re-branded to RealityScan, to align branding across desktop and mobile applications. With the rebrand come some major new changes: AI Masking Smarter Alignment Aeriel LiDAR Support Quality Analysis To install it, you need to fire up Epic Games Launcher, then I had to wait a while until the... Continue Reading →
I’ve had multiple emails now from different people working at US government agencies – Agisoft Metashape is no longer available nor allowed because it’s made by a Russian company. Below, I’ll provide a run through of Reality Capture as it stands today. The main competitor to Metashape is Reality Capture, now owned by Epic Games. ... Continue Reading →
[FYI - This post is mainly just for me to keep track of my venting] The time has finally come - Mail and Calendar, my favourite email application in a long time, has now been completely replaced by 'new' Outlook, and my attempts to revert are met by an instant reinstallation of the naff new... Continue Reading →
I tried installing linux again. Got frustrated, went back to windows.
I experimented with macro photogrammetry using a small fossil and a Nikon Z8 camera with MC105 VR S lens. I used focus-shift and focus-stack with shallow depth of field. Reality Capture produced a good model from the focus-stacked images, but using the lens at f51 also yielded a great result. Both methods have their benefits.
I struggled with merging focus-shifted images using Photoshop and Affinity Photo but found success with Helicon Focus, though with some limitations. I then discovered focus-stack on GitHub, a simple command-line tool, which was comparable to Helicon Focus.
The user encountered challenges while attempting to use various methods to feed information into local Large Language Models (LLMs) via RAG (Retrieval-Augmented Generation). They explored methods such as Nvidia Chat with RTX, Ollama with Python scripts, and Ollama with Open-webui. Results varied, with some methods providing inaccurate or incomplete outputs. Comparatively, Microsoft Co-pilot, running GPT4-Turbo, significantly outperformed the local methods.
The other day, I saw that Capturing reality announced a new pricing plan for their photogrammetry software Reality Capture: https://twitter.com/peterfalkingham/status/1767573164614103112?s=20 Reality Captured wormed it's way into my heart as my favourite photogrammetry software. Initially, while I was blown away by the speed of Reality Capture, I had a bit of a rough first impression due... Continue Reading →
I reviewed Beholder Vision back in 2022, and then it was a web-based service, where you upload your photos, it produces a model, and you then download it. That service is still available, but Beholder have now released a desktop version. Best of all, it’s complete free for personal use. It’s technically ad-supported, though so... Continue Reading →
Prof. Peter L. Falkingham 