@secondcentre · Post #6647 · 02/23/2026, 07:55 AM
#二手机场流转计划 机场名: #ssid 官网: ss-id.com 交易方式: 口令 求购价格: 40 交付方式: 账密 账户要求: 200g不限时 求购原因: 我来许愿来了 联系方式: https://t.me/a2f6d8b3j3o9 #求购 ⚠️ 理性消费,谨慎防诈。
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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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@secondcentre · Post #6647 · 02/23/2026, 07:55 AM
#二手机场流转计划 机场名: #ssid 官网: ss-id.com 交易方式: 口令 求购价格: 40 交付方式: 账密 账户要求: 200g不限时 求购原因: 我来许愿来了 联系方式: https://t.me/a2f6d8b3j3o9 #求购 ⚠️ 理性消费,谨慎防诈。
@libreware · Post #1512 · 09/28/2025, 11:58 AM
Chasing Your Tail (CYT) https://github.com/ArgeliusLabs/Chasing-Your-Tail-NG A comprehensive #WiFi probe request analyzer that monitors and tracks wireless devices by analyzing their probe requests. The system integrates with #Kismet for packet capture and WiGLE API for #SSID#geolocation analysis, featuring advanced #surveillance#detection capabilities. Features Real-time Wi-Fi monitoring with Kismet integration Advanced surveillance detection with persistence scoring Automatic GPS integration - extracts coordinates from Bluetooth GPS via Kismet GPS correlation and location clustering (100m threshold) Spectacular KML visualization for Google Earth with professional styling and interactive content Multi-format reporting - Markdown, HTML (with pandoc), and KML outputs Time-window tracking (5, 10, 15, 20 minute windows) WiGLE API integration for SSID geolocation Multi-location tracking algorithms for detecting following behavior Enhanced GUI interface with surveillance analysis button Organized file structure with dedicated output directories Comprehensive logging and analysis tools Requirements Python 3.6+ Kismet wireless packet capture Wi-Fi adapter supporting monitor mode Linux-based system WiGLE API key (optional)