This is the Linux app named SAM 2 whose latest release can be downloaded as sam2sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named SAM 2 with OnWorks for free.
اتبع هذه التعليمات لتشغيل هذا التطبيق:
- 1. قم بتنزيل هذا التطبيق على جهاز الكمبيوتر الخاص بك.
- 2. أدخل في مدير الملفات الخاص بنا https://www.onworks.net/myfiles.php؟username=XXXXX باسم المستخدم الذي تريده.
- 3. تحميل هذا التطبيق في هذا الملف.
- 4. ابدأ تشغيل OnWorks Linux عبر الإنترنت أو محاكي Windows عبر الإنترنت أو محاكي MACOS عبر الإنترنت من هذا الموقع.
- 5. من نظام تشغيل OnWorks Linux الذي بدأته للتو ، انتقل إلى مدير الملفات الخاص بنا https://www.onworks.net/myfiles.php؟username=XXXXX مع اسم المستخدم الذي تريده.
- 6. قم بتنزيل التطبيق وتثبيته وتشغيله.
SCREENSHOTS
Ad
سام شنومكس
الوصف
SAM2 is a next-generation version of the Segment Anything Model (SAM), designed to improve performance, generalization, and efficiency in promptable image segmentation tasks. It retains the core promptable interface—accepting points, boxes, or masks—but incorporates architectural and training enhancements to produce higher-fidelity masks, better boundary adherence, and robustness to complex scenes. The updated model is optimized for faster inference and lower memory use, enabling real-time interactivity even on larger images or constrained hardware. SAM2 comes with pretrained weights and easy-to-use APIs, enabling developers and researchers to integrate promptable segmentation into annotation tools, vision pipelines, or downstream tasks. The project also includes scripts and notebooks to compare SAM2 against SAM on edge cases, benchmarks showing improvements, and evaluation suites to measure mask quality metrics like IoU and boundary error.
شرح المميزات:
- Enhanced promptable segmentation (points, boxes, masks) with better accuracy
- Improved boundary fidelity and robustness in complex scenes
- Optimized inference speed and memory usage for real-time applications
- Pretrained weights and developer-friendly APIs for quick integration
- Evaluation scripts and benchmark comparisons against SAM
- Support for open deployment in annotation tools, computer vision pipelines, and vision interfaces
لغة البرمجة
Python
التصنيفات
This is an application that can also be fetched from https://sourceforge.net/projects/sam-2.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
