![]() You can read more about Qarnot 3D use cases in our White Paper for 3D Animation and VFX. That’s it! If you have any questions, please contact and we will help you with pleasure! one of the S3 compatible tools for managing your data.the download_results function from the Python SDK.the download button in the Bucket section.The results will be stored in the blender-out bucket and can be retrieved with three methods: ![]() Monitoring and downloading resultsĪt any given time, you can monitor the status of your task on the general web interface Console or on our 3D-tailored web interface Render. Note: when one of the previous task constants is not filled, it will take the value contained by default in the file. To launch this script, simply copy the following code in a Python script and execute python3 blender.py in your terminal. Once everything is set up, the following script needs to be used to start the render.īe sure you have copied your authentication token in the script (instead of >) to be able to launch the task on Qarnot. Note: in addition to the Python SDK, Qarnot provides C# and Node.js SDKs and a Command Line. Retrieve the authentication token ( here).Using the Python SDKīefore starting a render with the Python SDK, a few steps are required: The 3D-tailored web interface Render can be used to start Blender renders.Ī video tutorial is available here. Note: using one of the tools presented in S3 Data methods is strongly recommended, especially for large volumes of data. Use the Python SDK functions in the render script ( add_directory, sync_directory, …). ![]()
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