Turn a careless phone video into a labeled, scaled, measurable 3D room with pretrained SAM, CLIP, and DINOv2, and not one training run. A nine-step open-vocabulary 3D semantics pipeline in Python.
Open-Vocabulary 3D Semantics in Python: SAM, CLIP, and DINOv2 (No Training) Read More »
A complete Python pipeline for 3D point cloud labeling from phone photos using interactive painting, pinhole projection, and KD-tree fusion — no GPU required.
3D Point Cloud Labeling from Photos with Python (and why AI can’t design it for you) Read More »
By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 9 December 2020 Scale AI released a new LiDAR point cloud dataset, and accelerate the growth of Autonomous Driving research. Point Cloud Data labelling Data labelling, also called data annotation/tagging/classification, is the process of tagging (i.e. […]
Free LiDAR point cloud for self-driving cars Read More »
