This is the Windows app named RF-DETR whose latest release can be downloaded as RF-DETR1.5.2_showGPUmemorysourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named RF-DETR with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS
Ad
RF-DETR
DESCRIPTION
RF-DETR is an open-source computer vision framework that implements a real-time object detection and instance segmentation model based on transformer architectures. Developed by Roboflow, the project builds upon modern vision transformer backbones such as DINOv2 to achieve strong accuracy while maintaining efficient inference speeds suitable for real-time applications. The model is designed to detect objects and segment them within images or video streams using a unified detection pipeline. RF-DETR emphasizes strong performance across both accuracy and latency benchmarks, allowing developers to deploy high-quality detection models in applications that require immediate processing such as robotics, autonomous systems, and industrial inspection. The repository includes Python packages, training scripts, and model configurations that enable researchers and engineers to train and deploy detection models on custom datasets.
Features
- Transformer-based architecture for object detection
- Support for instance segmentation and detection tasks
- Built on DINOv2 vision transformer backbone
- Real-time inference optimized for performance and latency
- Python package and training pipeline for custom datasets
- Benchmarks demonstrating strong accuracy on standard datasets
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/rf-detr.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
