If you are unable to load any pages, check your computer’s network connection. The site could be temporarily unavailable or too busy. The server at 172.31.0.229 is taking too long to respond. Set the ‘ServerName’ directive globally to suppress this message Restarting Apache httpd web server apache2 AH00558: apache2: Could not reliably determine the server’s fully qualified domain name, using 172.17.0.2.The webserver seems to start even if this message appears. > -ti kitware/paraviewweb:pvw-visualizer-osmesa-5.5.0 > -v /home/ubuntu/paraviewweb-docker/testsite/:/data \ This is the command I’m running on the server: sudo docker run \ However I’m still not able to view the landing page. Do you have any idea on how to boost the performance (my desktop is Intel(R) Core™ i5-8400 CPU 2.80GHz, RAM 16 Gb).ĭEBUG:root:wslink incoming msg ĮRROR:asyncio:Task exception was never retrievedįile “/tmp/py-env/lib/python3.8/site-packages/wslink/backends/aiohttp/ init.py”, line 439, in sendWrappedMessageįile “/tmp/py-env/lib/python3.8/site-packages/aiohttp/web_ws.py”, line 307, in send_bytesĪwait self._nd(data, binary=True, compress=compress)įile “/tmp/py-env/lib/python3.8/site-packages/aiohttp/http_websocket.py”, line 685, in sendĪwait self._send_frame(message, WSMsgType.BINARY, compress)įile “/tmp/py-env/lib/python3.8/site-packages/aiohttp/http_websocket.py”, line 656, in _send_frameįile “/tmp/py-env/lib/python3.8/site-packages/aiohttp/base_protocol.py”, line 84, in _drain_helperĪssert waiter is None or waiter.cancelled()įuture: exception=RuntimeError(‘dictionary changed size during iteration’)>įile “/tmp/py-env/lib/python3.8/site-packages/wslink/backends/aiohttp/ init.Now I think docker is installed correctly, the error about the paraviewweb image disappeared. I noticed there are some errors from the servers. Server acts quite slowly and client had to wait to get 2D images quite slow. The performance of server is quite terrible. I tried to replace the file head.vti by another file which is ~ 200 MB (which I converted from dicom files with tool gdcm2vtk: gdcm2vtk 3_Thorax output.vti). In the example: 02_contour/pv-toggle-rendering, I saw that server returns the 2D images to client for displaying. I managed to run the example with Para and VTK backend. examples/01_cone/cone-pv-remote-rendering/app.py -virtual-env $PWD/py-libĬan you please help to debug how can I solve that ? examples/00_getting_started/cone-pv-remote-rendering/app.py -virtual-env $PWD/py-lib I read the README.md and did what it says: Setup Create virtual environment virtualenv py-lib examples/01_cone/cone-pv-remote-rendering. I just go to the github and try to run the example. But that means that I cannot use my C++ VTK code and that I would have to rewrite it with the VTK python bindings?Ĭan you give me any kind of information which would help me figuring out which kind of infrastructure/concept/solution i should focus on to achieve a remote VTK renderer with client side interaction, ideally keeping most of my C++ code as it is? I’ve read something about VTK as a server within python. i’m still wondering if it’s somehow possible to setup a VTK server with my current C++ implementation as the core module (slight changes in implementation will have to be made, but i dont want to rewrite all my C++ code). I’m kinda struggling to fetch all the information needed to deploy such a solution. I want to port this principle to a more stable solution with a VTK web server and VTK js on the client for VTK interaction. The current remote rendering prinicple relies on rendering offscreen images on the server (into JPEG format) and sending those base64 encoded images over websocket to the client eventually displaying them within a HTML element. I incorporated a large number of different VTk concepts, filters, pipelines within C++ and execute those function through PInvoke from my C# webserver. I’m currently developing a web platform utilizing a simple variation of “remote” VTK rendering for volume visualiziation/interaction (C#) with rather complex VTK algorithms (C++) to achieve the goals of my project.
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