SVIN | PyTorch implementation for 3D spatiotemporal motion | GPU library
kandi X-RAY | SVIN Summary
kandi X-RAY | SVIN Summary
This is our PyTorch implementation for 3D spatiotemporal motion(deformation) estimation and motion(deformation) guided volumetric interpolation. Note: The current framework works with PyTorch 0.4. REQUIREMENTS Python-2.7 CUDA You must have an Nvidia Gpu on your system. Pytorch-0.4 SimpleITK Scipy Pandas CV2. OS In our case, it is Ubuntu 16.04.
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QUESTION
I recently began with swift. I need decode the json on below.
The JSON has inside two more JSON the first one (validation) does not matter. The second one (result) has a JSON array inside (serviceCenter). I need the information of each servicenter. I try to use servicecenter as decodeable class to get a servicenter object, but as the JSON does not have the proper format I can't do it.
...ANSWER
Answered 2018-May-16 at 15:53try this code
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Install SVIN
You can use SVIN like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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