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Free download Darknet YOLO Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named Darknet YOLO whose latest release can be downloaded as YOLOv4pre-release.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Darknet YOLO 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:

Darknet YOLO


DESCRIPTION:

This is YOLO-v3 and v2 for Windows and Linux. YOLO (You only look once) is a state-of-the-art, real-time object detection system of Darknet, an open source neural network framework in C. YOLO is extremely fast and accurate. It uses a single neural network to divide a full image into regions, and then predicts bounding boxes and probabilities for each region.

This project is a fork of the original Darknet project.



Features

  • Support for Windows and Linux
  • State-of-Art models: CSP, PRN, EfficientNet
  • Ability for training recurrent models for accurate detection on video
  • Added data augmentation and activations
  • Ability for training with GPU-processing using CPU-RAM to increase the mini_batch_size and increase accuracy


Programming Language

C



This is an application that can also be fetched from https://sourceforge.net/projects/darknet-yolo.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.

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