This is the Linux app named torchvision whose latest release can be downloaded as TorchVision0.16-Transformsspeedups,CutMix_MixUp,andMPSsupport!.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named torchvision 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 the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux 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, install it and run it.
SCREENSHOTS
Ad
torchvision
DESCRIPTION
The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision. We recommend Anaconda as Python package management system. Torchvision currently supports Pillow (default), Pillow-SIMD, which is a much faster drop-in replacement for Pillow with SIMD, if installed will be used as the default. Also, accimage, if installed can be activated by calling torchvision.set_image_backend('accimage'), libpng, which can be installed via conda conda install libpng or any of the package managers for debian-based and RHEL-based Linux distributions, and libjpeg, which can be installed via conda conda install jpeg or any of the package managers for debian-based and RHEL-based Linux distributions. It supports libjpeg-turbo as well. libpng and libjpeg must be available at compilation time in order to be available. TorchVision also offers a C++ API that contains C++ equivalent of python models.
Features
- This is a utility library that downloads and prepares public datasets
- TorchVision offers a C++ API that contains C++ equivalent of python models
- Once installed, the library can be accessed in cmake
- The TorchVision package will also automatically look for the Torch package and add it as a dependency
- In order to get the torchvision operators registered with torch ensure that you #include
in your project - You can find the API documentation on the pytorch website
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/torchvision.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
