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GitHub - jonepatr/genea_visualizer: This repository provides scripts that can be used to visualize BVH files. These scripts were developed for the GENEA Challenge 2020, and enables reproducing the visualizations used for the challenge stimuli. The server consists of several containers which are launched together with the docker-compose.
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0 0 1-.052-1.086c0-1.331.282-2.499 1.132-3.368.397-.406.89-.717 1.474-.952 1.399-1.136 3.392-2.093 6.122-2.093 2.731 0 4.767.957 6.166 2.093.584.235 1.077.546 1.474.952.85.869 1.132 2.037 1.132 3.368 0 .368-.014.733-.052 1.086.23.462.477 1.088.644 1.517 1.258.364 2.233 1.721 2.605 2.656a.832.832 0 0 1 .053.22v2.869a.641.641 0 0 1-.078.256ZM12.172 11h-.344a4.323 4.323 0 0 1-.355.508C10.703 12.455 9.555 13 7.965 13c-1.725 0-2.989-.359-3.782-1.259a2.005 2.005 0 0 1-.085-.104L4 11.741v6.585c1.435.779 4.514 2.179 8 2.179 3.486 0 6.565-1.4 8-2.179v-6.585l-.098-.104s-.033.045-.085.104c-.793.9-2.057 1.259-3.782 1.259-1.59 0-2.738-.545-3.508-1.492a4.323 4.323 0 0 1-.355-.508h-.016.016Zm.641-2.935c.136 1.057.403 1.913.878 2.497.442.544 1.134.938 2.344.938 1.573 0 2.292-.337 2.657-.751.384-.435.558-1.15.558-2.361 0-1.14-.243-1.847-.705-2.319-.477-.488-1.319-.862-2.824-1.025-1.487-.161-2.192.138-2.533.529-.269.307-.437.808-.438 1.578v.021c0 .265.021.562.063.893Zm-1.626 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3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z"></path> </svg></button> </div> </div> </div> <scrollable-region data-labelled-by="feedback-dialog-title"> <div data-view-component="true" class="Overlay-body"> <!-- '"` --><!-- </textarea></xmp> --></option></form><form id="code-search-feedback-form" data-turbo="false" action="/search/feedback" accept-charset="UTF-8" method="post"><input type="hidden" data-csrf="true" name="authenticity_token" value="h/sDDuSxLX9EOnfWhLLlJ7l4V1uqH52VMB3lJkHb8YGcQZuiGjcx0OGp/qYbw5y2IGHJXyIliGeWFU3yPNt1mg==" /> <p>We read every piece of feedback, and take your input very seriously.</p> <textarea name="feedback" class="form-control width-full mb-2" style="height: 120px" id="feedback"></textarea> <input name="include_email" id="include_email" aria-label="Include my email address so I can be contacted" class="form-control mr-2" type="checkbox"> 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dir=\"auto\"\u003eGENEA 2020 BVH Visualizer\u003c/h1\u003e\u003ca id=\"user-content-genea-2020-bvh-visualizer\" class=\"anchor\" aria-label=\"Permalink: GENEA 2020 BVH Visualizer\" href=\"#genea-2020-bvh-visualizer\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp align=\"center\" dir=\"auto\"\u003e\n \u003ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"/jonepatr/genea_visualizer/blob/master/gesture.gif\"\u003e\u003cimg src=\"/jonepatr/genea_visualizer/raw/master/gesture.gif\" alt=\"example from visualization server\" data-animated-image=\"\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n \u003cbr\u003e\n \u003ci\u003eExample output from the visualization server\u003c/i\u003e\n\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThis repository provides scripts that can be used to visualize BVH files. These scripts were developed for the \u003ca href=\"https://genea-workshop.github.io/2020/#gesture-generation-challenge\" rel=\"nofollow\"\u003eGENEA Challenge 2020\u003c/a\u003e, and enables reproducing the visualizations used for the challenge stimuli.\nThe server consists of several containers which are launched together with the docker-compose command described below.\nThe components are:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eweb: this is the HTTP server which receives render requests and places them on a \"celery\" queue to be processed.\u003c/li\u003e\n\u003cli\u003eworker: this takes jobs from the \"celery\" queue and works on them. Each worker runs one Blender process, so increasing the amount of workers adds more parallelization.\u003c/li\u003e\n\u003cli\u003emonitor: this is a monitoring tool for celery. Default username is \u003ccode\u003euser\u003c/code\u003e and password is \u003ccode\u003epassword\u003c/code\u003e (can be changed by setting \u003ccode\u003eFLOWER_USER\u003c/code\u003e and \u003ccode\u003eFLOWER_PWD\u003c/code\u003e when starting the docker-compose command)\u003c/li\u003e\n\u003cli\u003eredis: needed for celery\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eGENEA Challenge 2022 BVH Visualizer\u003c/h2\u003e\u003ca id=\"user-content-genea-challenge-2022-bvh-visualizer\" class=\"anchor\" aria-label=\"Permalink: GENEA Challenge 2022 BVH Visualizer\" href=\"#genea-challenge-2022-bvh-visualizer\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eA newer version of the visualizer used for the GENEA Challenge 2022 can be found in \u003ca href=\"https://github.com/TeoNikolov/genea_visualizer\"\u003ethis fork\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eBuild and start visualization server\u003c/h2\u003e\u003ca id=\"user-content-build-and-start-visualization-server\" class=\"anchor\" aria-label=\"Permalink: Build and start visualization server\" href=\"#build-and-start-visualization-server\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eFirst you need to install docker-compose:\n\u003ccode\u003esudo apt install docker-compose\u003c/code\u003e (on Ubuntu)\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eYou might want to edit some of the default parameters, such as render resolution and fps, in the \u003ccode\u003e.env\u003c/code\u003e file.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThen to start the server run \u003ccode\u003edocker-compose up --build\u003c/code\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eIn order to run several (for example 3) workers (Blender renderers, which allows to parallelize rendering, run \u003ccode\u003edocker-compose up --build --scale worker=3\u003c/code\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThe \u003ccode\u003e-d\u003c/code\u003e flag can also be passed in order to run the server in the background. Logs can then be accessed by running \u003ccode\u003edocker-compose logs -f\u003c/code\u003e. Additionally it's possible to rebuild just the worker or API containers with minimal disruption in the running server by running for example \u003ccode\u003edocker-compose up -d --no-deps --scale worker=2 --build worker\u003c/code\u003e. This will rebuild the worker container and stop the old ones and start 2 new ones.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eUse the visualization server\u003c/h2\u003e\u003ca id=\"user-content-use-the-visualization-server\" class=\"anchor\" aria-label=\"Permalink: Use the visualization server\" href=\"#use-the-visualization-server\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThe server is HTTP-based and works by uploading a bvh file. You will then receive a \"job id\" which you can poll in order to see the progress of your rendering. When it is finished you will receive a URL to a video file that you can download.\nBelow are some examples using \u003ccode\u003ecurl\u003c/code\u003e and in the file \u003ccode\u003eexample.py\u003c/code\u003e there is a full python (3.7) example of how this can be used.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eSince the server is available publicly online, a simple authentication system is included – just pass in the token \u003ccode\u003ej7HgTkwt24yKWfHPpFG3eoydJK6syAsz\u003c/code\u003e with each request. This can be changed by modifying \u003ccode\u003eUSER_TOKEN\u003c/code\u003e in \u003ccode\u003e.env\u003c/code\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eFor a simple usage example, you can see a full python script in \u003ccode\u003eexample.py\u003c/code\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eOtherwise, you can follow the detailed instructions on how to use the visualization server provided below.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eDepending on where you host the visualization, \u003ccode\u003eSERVER_URL\u003c/code\u003e might be different. If you just are running it locally on your machine you can use \u003ccode\u003e127.0.0.1\u003c/code\u003e but otherwise you would use the ip address to the machine that is hosting the server.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ccode\u003ecurl -XPOST -H \"Authorization:Bearer j7HgTkwt24yKWfHPpFG3eoydJK6syAsz\" -F \"file=@/path/to/bvh/file.bvh\" http://SERVER_URL/render\u003c/code\u003e\nwill return a URI to the current job \u003ccode\u003e/jobid/[JOB_ID]\u003c/code\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ccode\u003ecurl -H \"Authorization:Bearer j7HgTkwt24yKWfHPpFG3eoydJK6syAsz\" http://SERVER_URL/jobid/[JOB_ID]\u003c/code\u003e will return the current job state, which might be any of:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e{result\": {\"jobs_in_queue\": X}, \"state\": \"PENDING\"}\u003c/code\u003e: Which means the job is in the queue and waiting to be rendered. The \u003ccode\u003ejobs_in_queue\u003c/code\u003e property is the total number of jobs waiting to be executed. The order of job execution is not guaranteed, which means that this number does not reflect how many jobs there are before the current job, but rather reflects if the server is currently busy or not.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e{result\": null, \"state\": \"PROCESSING\"}\u003c/code\u003e: The job is currently being processed. Depending on the file size this might take a while, but this acknowledges that the server has started to working on the request.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e{result\":{\"current\": X, \"total\": Y}, \"state\": \"RENDERING\"}\u003c/code\u003e: The job is currently being rendered, this is the last stage of the process. \u003ccode\u003ecurrent\u003c/code\u003e shows which is the last rendered frame and \u003ccode\u003etotal\u003c/code\u003e shows how many frames in total this job will render.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e{\"result\": FILE_URL, \"state\": \"SUCCESS\"}\u003c/code\u003e: The job ended successfully and the video is available at \u003ccode\u003ehttp://SERVER_URL/[FILE_URL]\u003c/code\u003e.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e{\"result\": ERROR_MSG, \"state\": \"FAILURE\"}\u003c/code\u003e: The job ended with a failure and the error message is given in \u003ccode\u003eresults\u003c/code\u003e.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eIn order to retrieve the video, run \u003ccode\u003ecurl -H \"Authorization:Bearer j7HgTkwt24yKWfHPpFG3eoydJK6syAsz\" http://SERVER_URL/[FILE_URL] -o result.mp4\u003c/code\u003e. Please note that the server will delete the file after you retrieve it, so you can only retrieve it once!\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eReplicating the GENEA Challenge 2020 visualizations\u003c/h2\u003e\u003ca id=\"user-content-replicating-the-genea-challenge-2020-visualizations\" class=\"anchor\" aria-label=\"Permalink: Replicating the GENEA Challenge 2020 visualizations\" href=\"#replicating-the-genea-challenge-2020-visualizations\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThe parameters in the enclosed file \u003ccode\u003edocker-compose-genea.yml\u003c/code\u003e correspond to those that were used to render the final evaluation stimuli of the GENEA Challenge, for ease of replication.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eIf you use this code in your research please cite our IUI article:\u003c/h3\u003e\u003ca id=\"user-content-if-you-use-this-code-in-your-research-please-cite-our-iui-article\" class=\"anchor\" aria-label=\"Permalink: If you use this code in your research please cite our IUI article:\" href=\"#if-you-use-this-code-in-your-research-please-cite-our-iui-article\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"@inproceedings{kucherenko2021large,\n author = {Kucherenko, Taras and Jonell, Patrik and Yoon, Youngwoo and Wolfert, Pieter and Henter, Gustav Eje},\n title = {A Large, Crowdsourced Evaluation of Gesture Generation Systems on Common Data: {T}he {GENEA} {C}hallenge 2020},\n year = {2021},\n isbn = {9781450380171},\n publisher = {Association for Computing Machinery},\n address = {New York, NY, USA},\n url = {https://doi.org/10.1145/3397481.3450692},\n doi = {10.1145/3397481.3450692},\n booktitle = {26th International Conference on Intelligent User Interfaces},\n pages = {11--21},\n numpages = {11},\n keywords = {evaluation paradigms, conversational agents, gesture generation},\n location = {College Station, TX, USA},\n series = {IUI '21}\n}\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003e@inproceedings{kucherenko2021large,\n author = {Kucherenko, Taras and Jonell, Patrik and Yoon, Youngwoo and Wolfert, Pieter and Henter, Gustav Eje},\n title = {A Large, Crowdsourced Evaluation of Gesture Generation Systems on Common Data: {T}he {GENEA} {C}hallenge 2020},\n year = {2021},\n isbn = {9781450380171},\n publisher = {Association for Computing Machinery},\n address = {New York, NY, USA},\n url = {https://doi.org/10.1145/3397481.3450692},\n doi = {10.1145/3397481.3450692},\n booktitle = {26th International Conference on Intelligent User Interfaces},\n pages = {11--21},\n numpages = {11},\n keywords = {evaluation paradigms, conversational agents, gesture generation},\n location = {College Station, TX, USA},\n series = {IUI '21}\n}\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003c/article\u003e","loaded":true,"timedOut":false,"errorMessage":null,"headerInfo":{"toc":[{"level":1,"text":"GENEA 2020 BVH Visualizer","anchor":"genea-2020-bvh-visualizer","htmlText":"GENEA 2020 BVH Visualizer"},{"level":2,"text":"GENEA Challenge 2022 BVH Visualizer","anchor":"genea-challenge-2022-bvh-visualizer","htmlText":"GENEA Challenge 2022 BVH Visualizer"},{"level":2,"text":"Build and start visualization server","anchor":"build-and-start-visualization-server","htmlText":"Build and start visualization server"},{"level":2,"text":"Use the visualization server","anchor":"use-the-visualization-server","htmlText":"Use the visualization server"},{"level":2,"text":"Replicating the GENEA Challenge 2020 visualizations","anchor":"replicating-the-genea-challenge-2020-visualizations","htmlText":"Replicating the GENEA Challenge 2020 visualizations"},{"level":3,"text":"If you use this code in your research please cite our IUI article:","anchor":"if-you-use-this-code-in-your-research-please-cite-our-iui-article","htmlText":"If you use this code in your research please cite our IUI article:"}],"siteNavLoginPath":"/login?return_to=https%3A%2F%2Fgithub.com%2Fjonepatr%2Fgenea_visualizer"}},{"displayName":"LICENSE","repoName":"genea_visualizer","refName":"master","path":"LICENSE","preferredFileType":"license","tabName":"GPL-3.0","richText":null,"loaded":false,"timedOut":false,"errorMessage":null,"headerInfo":{"toc":null,"siteNavLoginPath":"/login?return_to=https%3A%2F%2Fgithub.com%2Fjonepatr%2Fgenea_visualizer"}}],"overviewFilesProcessingTime":0}},"appPayload":{"helpUrl":"https://docs.github.com","findFileWorkerPath":"/assets-cdn/worker/find-file-worker-9f8a877aa99f.js","findInFileWorkerPath":"/assets-cdn/worker/find-in-file-worker-96e76d5fdb2c.js","githubDevUrl":null,"enabled_features":{"copilot_workspace":null,"code_nav_ui_events":false,"overview_shared_code_dropdown_button":false,"react_blob_overlay":false,"copilot_conversational_ux_embedding_update":false,"copilot_smell_icebreaker_ux":true,"accessible_code_button":true}}}}</script> <div 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1.5h-8.5a.75.75 0 0 1 0-1.5Zm0 5h8.5a.75.75 0 0 1 0 1.5h-8.5a.75.75 0 0 1 0-1.5ZM2 14a1 1 0 1 1 0-2 1 1 0 0 1 0 2Zm1-6a1 1 0 1 1-2 0 1 1 0 0 1 2 0ZM2 4a1 1 0 1 1 0-2 1 1 0 0 1 0 2Z"></path></svg></button></div><div class="Box-sc-g0xbh4-0 QkQOb js-snippet-clipboard-copy-unpositioned undefined" data-hpc="true"><article class="markdown-body entry-content container-lg" itemprop="text"><div class="markdown-heading" dir="auto"><h1 tabindex="-1" class="heading-element" dir="auto">GENEA 2020 BVH Visualizer</h1><a id="user-content-genea-2020-bvh-visualizer" class="anchor" aria-label="Permalink: GENEA 2020 BVH Visualizer" href="#genea-2020-bvh-visualizer"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p align="center" dir="auto"> <a target="_blank" rel="noopener noreferrer" href="/jonepatr/genea_visualizer/blob/master/gesture.gif"><img src="/jonepatr/genea_visualizer/raw/master/gesture.gif" alt="example from visualization server" data-animated-image="" style="max-width: 100%;"></a> <br> <i>Example output from the visualization server</i> </p> <p dir="auto">This repository provides scripts that can be used to visualize BVH files. These scripts were developed for the <a href="https://genea-workshop.github.io/2020/#gesture-generation-challenge" rel="nofollow">GENEA Challenge 2020</a>, and enables reproducing the visualizations used for the challenge stimuli. The server consists of several containers which are launched together with the docker-compose command described below. The components are:</p> <ul dir="auto"> <li>web: this is the HTTP server which receives render requests and places them on a "celery" queue to be processed.</li> <li>worker: this takes jobs from the "celery" queue and works on them. Each worker runs one Blender process, so increasing the amount of workers adds more parallelization.</li> <li>monitor: this is a monitoring tool for celery. Default username is <code>user</code> and password is <code>password</code> (can be changed by setting <code>FLOWER_USER</code> and <code>FLOWER_PWD</code> when starting the docker-compose command)</li> <li>redis: needed for celery</li> </ul> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">GENEA Challenge 2022 BVH Visualizer</h2><a id="user-content-genea-challenge-2022-bvh-visualizer" class="anchor" aria-label="Permalink: GENEA Challenge 2022 BVH Visualizer" href="#genea-challenge-2022-bvh-visualizer"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">A newer version of the visualizer used for the GENEA Challenge 2022 can be found in <a href="https://github.com/TeoNikolov/genea_visualizer">this fork</a></p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Build and start visualization server</h2><a id="user-content-build-and-start-visualization-server" class="anchor" aria-label="Permalink: Build and start visualization server" href="#build-and-start-visualization-server"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">First you need to install docker-compose: <code>sudo apt install docker-compose</code> (on Ubuntu)</p> <p dir="auto">You might want to edit some of the default parameters, such as render resolution and fps, in the <code>.env</code> file.</p> <p dir="auto">Then to start the server run <code>docker-compose up --build</code></p> <p dir="auto">In order to run several (for example 3) workers (Blender renderers, which allows to parallelize rendering, run <code>docker-compose up --build --scale worker=3</code></p> <p dir="auto">The <code>-d</code> flag can also be passed in order to run the server in the background. Logs can then be accessed by running <code>docker-compose logs -f</code>. Additionally it's possible to rebuild just the worker or API containers with minimal disruption in the running server by running for example <code>docker-compose up -d --no-deps --scale worker=2 --build worker</code>. This will rebuild the worker container and stop the old ones and start 2 new ones.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Use the visualization server</h2><a id="user-content-use-the-visualization-server" class="anchor" aria-label="Permalink: Use the visualization server" href="#use-the-visualization-server"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">The server is HTTP-based and works by uploading a bvh file. You will then receive a "job id" which you can poll in order to see the progress of your rendering. When it is finished you will receive a URL to a video file that you can download. Below are some examples using <code>curl</code> and in the file <code>example.py</code> there is a full python (3.7) example of how this can be used.</p> <p dir="auto">Since the server is available publicly online, a simple authentication system is included – just pass in the token <code>j7HgTkwt24yKWfHPpFG3eoydJK6syAsz</code> with each request. This can be changed by modifying <code>USER_TOKEN</code> in <code>.env</code>.</p> <p dir="auto">For a simple usage example, you can see a full python script in <code>example.py</code>.</p> <p dir="auto">Otherwise, you can follow the detailed instructions on how to use the visualization server provided below.</p> <p dir="auto">Depending on where you host the visualization, <code>SERVER_URL</code> might be different. If you just are running it locally on your machine you can use <code>127.0.0.1</code> but otherwise you would use the ip address to the machine that is hosting the server.</p> <p dir="auto"><code>curl -XPOST -H "Authorization:Bearer j7HgTkwt24yKWfHPpFG3eoydJK6syAsz" -F "file=@/path/to/bvh/file.bvh" http://SERVER_URL/render</code> will return a URI to the current job <code>/jobid/[JOB_ID]</code>.</p> <p dir="auto"><code>curl -H "Authorization:Bearer j7HgTkwt24yKWfHPpFG3eoydJK6syAsz" http://SERVER_URL/jobid/[JOB_ID]</code> will return the current job state, which might be any of:</p> <ul dir="auto"> <li><code>{result": {"jobs_in_queue": X}, "state": "PENDING"}</code>: Which means the job is in the queue and waiting to be rendered. The <code>jobs_in_queue</code> property is the total number of jobs waiting to be executed. The order of job execution is not guaranteed, which means that this number does not reflect how many jobs there are before the current job, but rather reflects if the server is currently busy or not.</li> <li><code>{result": null, "state": "PROCESSING"}</code>: The job is currently being processed. Depending on the file size this might take a while, but this acknowledges that the server has started to working on the request.</li> <li><code>{result":{"current": X, "total": Y}, "state": "RENDERING"}</code>: The job is currently being rendered, this is the last stage of the process. <code>current</code> shows which is the last rendered frame and <code>total</code> shows how many frames in total this job will render.</li> <li><code>{"result": FILE_URL, "state": "SUCCESS"}</code>: The job ended successfully and the video is available at <code>http://SERVER_URL/[FILE_URL]</code>.</li> <li><code>{"result": ERROR_MSG, "state": "FAILURE"}</code>: The job ended with a failure and the error message is given in <code>results</code>.</li> </ul> <p dir="auto">In order to retrieve the video, run <code>curl -H "Authorization:Bearer j7HgTkwt24yKWfHPpFG3eoydJK6syAsz" http://SERVER_URL/[FILE_URL] -o result.mp4</code>. Please note that the server will delete the file after you retrieve it, so you can only retrieve it once!</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Replicating the GENEA Challenge 2020 visualizations</h2><a id="user-content-replicating-the-genea-challenge-2020-visualizations" class="anchor" aria-label="Permalink: Replicating the GENEA Challenge 2020 visualizations" href="#replicating-the-genea-challenge-2020-visualizations"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">The parameters in the enclosed file <code>docker-compose-genea.yml</code> correspond to those that were used to render the final evaluation stimuli of the GENEA Challenge, for ease of replication.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">If you use this code in your research please cite our IUI article:</h3><a id="user-content-if-you-use-this-code-in-your-research-please-cite-our-iui-article" class="anchor" aria-label="Permalink: If you use this code in your research please cite our IUI article:" href="#if-you-use-this-code-in-your-research-please-cite-our-iui-article"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="@inproceedings{kucherenko2021large, author = {Kucherenko, Taras and Jonell, Patrik and Yoon, Youngwoo and Wolfert, Pieter and Henter, Gustav Eje}, title = {A Large, Crowdsourced Evaluation of Gesture Generation Systems on Common Data: {T}he {GENEA} {C}hallenge 2020}, year = {2021}, isbn = {9781450380171}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3397481.3450692}, doi = {10.1145/3397481.3450692}, booktitle = {26th International Conference on Intelligent User Interfaces}, pages = {11--21}, numpages = {11}, keywords = {evaluation paradigms, conversational agents, gesture generation}, location = {College Station, TX, USA}, series = {IUI '21} }"><pre class="notranslate"><code>@inproceedings{kucherenko2021large, author = {Kucherenko, Taras and Jonell, Patrik and Yoon, Youngwoo and Wolfert, Pieter and Henter, Gustav Eje}, title = {A Large, Crowdsourced Evaluation of Gesture Generation Systems on Common Data: {T}he {GENEA} {C}hallenge 2020}, year = {2021}, isbn = {9781450380171}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3397481.3450692}, doi = {10.1145/3397481.3450692}, booktitle = {26th International Conference on Intelligent User Interfaces}, pages = {11--21}, numpages = {11}, keywords = {evaluation paradigms, conversational agents, gesture generation}, location = {College Station, TX, USA}, series = {IUI '21} } </code></pre></div> </article></div></div></div></div></div> <!-- --> <!-- --> <script type="application/json" id="__PRIMER_DATA_:R0:__">{"resolvedServerColorMode":"day"}</script></div> </react-partial> <input type="hidden" data-csrf="true" value="KVwr7fx5n4Go2qkxNQamxu1obzHtaVD2aEuRnfpZn6rk8/kQYaq5SA0gh5DLOXqCJcxX+OZrKlI6v6zyRYvIdg==" /> </div> <div data-view-component="true" class="Layout-sidebar"> <div class="BorderGrid about-margin" data-pjax> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <div class="hide-sm hide-md"> <h2 class="mb-3 h4">About</h2> <p class="f4 my-3"> This repository provides scripts that can be used to visualize BVH files. These scripts were developed for the GENEA Challenge 2020, and enables reproducing the visualizations used for the challenge stimuli. The server consists of several containers which are launched together with the docker-compose. </p> <h3 class="sr-only">Topics</h3> <div class="my-3"> <div class="f6"> <a href="/topics/celery" title="Topic: celery" data-view-component="true" class="topic-tag topic-tag-link"> celery </a> <a href="/topics/bvh" title="Topic: bvh" data-view-component="true" class="topic-tag topic-tag-link"> bvh </a> <a href="/topics/visualization-server" title="Topic: visualization-server" data-view-component="true" class="topic-tag topic-tag-link"> visualization-server </a> </div> </div> <h3 class="sr-only">Resources</h3> <div class="mt-2"> <a class="Link--muted" data-analytics-event="{"category":"Repository Overview","action":"click","label":"location:sidebar;file:readme"}" href="#readme-ov-file"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-book mr-2"> <path d="M0 1.75A.75.75 0 0 1 .75 1h4.253c1.227 0 2.317.59 3 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