coremltools
3d-model-convert-to-gltf
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| coremltools | 3d-model-convert-to-gltf | |
|---|---|---|
| 11 | 1 | |
| 4,063 | 231 | |
| 2.9% | - | |
| 8.7 | 0.0 | |
| 7 days ago | over 1 year ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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coremltools
- CoreML commit from Apple mentions iOS17 exclusive features
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Lisa Su Saved AMD. Now She Wants Nvidia's AI Crown
Instead of trying to integrate the whole stack of, say, pytorch, Apple's primary approach has been converting models to work with Apple's stack.
https://github.com/apple/coremltools
Clearly no one is going to be doing training or even fine tuning on Apple hardware at any scale (it competes at the low end, but at scale you invariably will be using nvidia hardware), but once you have a decent model it's a robust way of using it on Apple devices.
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Stable Diffusion for M1 iPad
There is one guy who was able to run it on iOS. See this thread for more information. Basically, the idea is to convert torch models to CoreMl. Only the CLIP tokenizer's implementation is currently missing. I guess this guy will keep modifications private, but he is trying to optimize model for lower RAM requirements.
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MacBook Pro 14” M1 Pro (worth buying for programming)
Afaik (correct me if I’m wrong) both PyTorch and tensorflow only use the gpu when training and not the neural engine. I think the neural engines can be used for inference if the model is in the CoreML format (https://github.com/apple/coremltools)
- Is it possible to convert a yolov5 model to a CoreML/.mlmodel to work in an IOS app?
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ML model conversion
CoreML Tools
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Supreme Court, in a 6–2 ruling in Google v. Oracle, concludes that Google’s use of Java API was a fair use of that material
And Python.
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Apple’s New M1 Chip is a Machine Learning Beast
There's literally an Apple provided tool, called [coremltools[(https://github.com/apple/coremltools) to convert many common PyTorch and TensorFlow models to CoreML.
3d-model-convert-to-gltf
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"Design a day" Week 1 (MOTOR MADNESS) complete— Fully accurate cad models for fpv designers!
Well, for what it's worth, I tried to use this tool as a first pass to get glTFs and the Python STEP library doesn't seem to like the STEP files you've provided:
What are some alternatives?
RobustVideoMatting - Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
model-viewer - Easily display interactive 3D models on the web and in AR!
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
cgltf - :diamond_shape_with_a_dot_inside: Single-file glTF 2.0 loader and writer written in C99
tensorflow_macos - TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
model-optimization - A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
MMdnn - MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
borgmatic - Simple, configuration-driven backup software for servers and workstations
password-manager-resources - A place for creators and users of password managers to collaborate on resources to make password management better.
IKEA3DAssemblyDataset - The IKEA 3D Assembly Dataset is made available by Inter IKEA Systems B.V. to encourage research related to assembly instructions
hummingbird - Hummingbird compiles trained ML models into tensor computation for faster inference.
glTF-Transform - glTF 2.0 SDK for JavaScript and TypeScript, on Web and Node.js.