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Source channel @githubtrending · Post #14949 · Jul 12

#jupyter_notebook#darknet#pytorch#scaled_yolov4#yolor#yolov3#yolov4#yolov7 YOLOv7 is a powerful tool for detecting objects in images and videos. It is fast, accurate, and can work well on devices with limited power, making it useful for real-time applications like self-driving cars and surveillance systems. YOLOv7 uses advanced techniques like Feature Pyramid Networks to detect objects of different sizes and can handle complex scenes with overlapping objects. This makes it beneficial for users who need quick and precise object detection in various environments. https://github.com/WongKinYiu/yolov7

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Libreware

@libreware · Post #1092 · 06/20/2022, 01:50 PM

Andriller https://github.com/den4uk/andriller Software utility with a collection of forensic tools for smartphones. It performs read-only, forensically sound, non-destructive acquisition from Android devices. It has features, such as powerful Lockscreen cracking for Pattern, PIN code, or Password; custom decoders for Apps data from Android (some Apple iOS & Windows) databases for decoding communications. Extraction and decoders produce reports in HTML and Excel formats. Features Automated data extraction and decoding Data extraction of non-rooted without devices by Android Backup (Android versions 4.x, varied/limited support) Data extraction with root permissions: root ADB daemon, CWM recovery mode, or SU binary (Superuser/SuperSU) Data parsing and decoding for Folder structure, Tarball files (from nanddroid backups), and Android Backup (backup.ab files) Selection of individual database decoders for Android apps Decryption of encrypted WhatsApp archived databases (.crypt to .crypt12, must have the right key file) Lockscreen cracking for Pattern, PIN, Password (not gatekeeper) Unpacking the Android backup files Screen capture of a device's display screen 📡@NoGoolag📡@Libreware #andriller#android#forensics#backup