3D printing is often relegated to simply producing plastic shelf-fillers and flexible dragons, but there's far more to melting filament into different shapes. There's a lot to be said about 3D ...
Abstract: Open-Vocabulary 3D segmentation assigns semantic labels to 3D scenes from free-form text prompts. Many approaches fuse multi-view 2D embeddings into a 3D representation, but performance ...
Point cloud tooling in Python is fragmented. laspy reads files. Open3D visualizes them. PDAL pipelines transform them. But nothing treats acquisition platform as a first-class concept — and platform ...
Welcome to Smithsonian Open Access, where you can download, share, and reuse millions of the Smithsonian’s images—right now, without asking. With new platforms and tools, you have easier access to ...
Abstract: Existing high-performance semantic segmentation methods for remote sensing often struggle with the tradeoff between inference efficiency and high-resolution processing, especially in ...
brain_tumor_seg/ ├── config.py ← SET YOUR PATHS AND HYPERPARAMETERS HERE FIRST ├── train.py ← Step 1: train the 3D U-Net ├── predict.py ← Step 2: run inference on new scans ├── plot_history.py ← ...
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