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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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@djangoproject · Post #516 · 12/07/2017, 07:12 AM
https://pyvisa.readthedocs.io/en/stable/ PyVISA: #Control your instruments with Python #PyVISA is a Python package that enables you to control all kinds of measurement devices independently of the interface (e.g. #GPIB, #RS232, #USB, #Ethernet). As an example, reading self-identification from a Keithley Multimeter with GPIB number 12 is as easy as three lines of Python code: