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Source channel @githubtrending · Post #14627 · Apr 24
#jupyter_notebook DINOv2 is a powerful AI model from Meta AI that learns to understand images without needing labeled data, using self-supervised learning. It was trained on 142 million images and creates strong visual features that work well for many tasks like image classification, depth estimation, and segmentation without extra fine-tuning. You can use its pretrained models easily with simple classifiers, saving time and effort. DINOv2 is efficient, scalable, and performs better than many other models, making it great for building versatile computer vision applications quickly and accurately. It’s open-source and ready to use with PyTorch. https://github.com/facebookresearch/dinov2
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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:
@GetMoeCats · Post #563 · 02/13/2024, 01:18 PM
#Surge#模块#面板#脚本#信息#Panel#回环网络#网络接口#WiFi#Ethernet#蜂窝网络 Powered by Chavy‘s🧰BoxJs and Env.js Available in📈Surge Created by @xream 网络接口信息面板 🟢显示流量/速度/最大速度 🟢两种样式 📈Surge 模块 ❗️ 相关内容 网络信息 Available in📈 Surge, 🏂 Stash, 🎈 Loon, 🚀Shadowrocket, 🌀 Quantumult X 国内外 IP, 运营商, ASN, ORG, 位置, 策略; IPv6; 入口落地; 隐私; LAN; SSID. 支持网络变化时进行查询通知