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Source channel @githubtrending · Post #15365 · Dec 24

#jupyter_notebook DINOv3 offers powerful self-supervised vision models from Meta AI, like ViT up to 7B parameters and ConvNeXt, pretrained on 1.7B web or satellite images. Load them easily via PyTorch Hub, Hugging Face Transformers (v4.56+), or timm (v1.0.20+), with code examples for features, depth, detection, and segmentation. You benefit by using these top-performing, dense features without fine-tuning or labels—saving time and compute for tasks like classification, object detection, and zero-shot analysis on your images. https://github.com/facebookresearch/dinov3

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@githubtrending · Post #14774 · 06/01/2025, 12:00 PM

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#cplusplus#3mf#android#asset_pipeline#assets#assimp#c_plus_plus#collada#dae#fbx#fbx_exporter#game_development#gamedev_tool#gamedevelopment#gltf#gltf2#ifc#patreon#python#stl The Open Asset Import Library (Assimp) is a tool that helps load many different 3D file formats into a common format. It supports over 40 formats for importing and several for exporting. Assimp works on various platforms like Windows, macOS, Linux, Android, and iOS. It also provides tools to improve the 3D models, such as fixing errors and making them look better. This library is useful for developers because it simplifies working with different 3D file types, making it easier to create and manage 3D content across different systems. https://github.com/assimp/assimp

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#cplusplus #3mf #android #asset_pipeline #assets #assimp #c_plus_plus #collada #dae #fbx #fbx_exporter #game_development #gamedev_tool #gamedevelopment #gltf #gltf2 #ifc #patreon #python #stl