{"id":2781,"date":"2021-01-03T18:11:32","date_gmt":"2021-01-03T18:11:32","guid":{"rendered":"https:\/\/sites.hslu.ch\/werkstatt\/?p=2781"},"modified":"2023-03-08T14:03:52","modified_gmt":"2023-03-08T14:03:52","slug":"after-the-photography","status":"publish","type":"post","link":"https:\/\/sites.hslu.ch\/werkstatt\/after-the-photography\/","title":{"rendered":"After the Photography"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_section][vc_row el_class=&#187;dkw-events-lead&#187;][vc_column width=&#187;1\/3&#8243;][\/vc_column][\/vc_row][vc_row el_class=&#187;dkw-events-details&#187;][vc_column width=&#187;1\/3&#8243;][\/vc_column][\/vc_row][\/vc_section][vc_section el_class=&#187;dkw-section-lead&#187;][vc_row][vc_column width=&#187;2\/3&#8243; offset=&#187;vc_col-sm-offset-2&#8243;][vc_column_text]<\/p>\n<div class=\"\">\n<div class=\"\">\n<div class=\"\"><\/div>\n<div class=\"\"><b class=\"\">Workshop on Computer Vision, Datasets, and Face Recognition<\/b><\/div>\n<div class=\"\"><b class=\"\">ADAM HARVEY<\/b><\/div>\n<\/div>\n<\/div>\n<div class=\"\"><a class=\"\" href=\"https:\/\/ahprojects.com\/\">https:\/\/ahprojects.com\/<\/a><\/div>\n<div>This workshop is made possible through the financial support of <a class=\"\" href=\"http:\/\/swissuniversities.ch\/\">swissuniversities.ch<\/a> and will take place as part of the initiative \u00a0&#171;Digital Skills &#8211; Teaching Networked Photography in the Digital Age&#187;.<\/div>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][\/vc_section][vc_section el_class=&#187;dkw-section-content&#187;][vc_row][vc_column width=&#187;1\/3&#8243; el_class=&#187;dkw-col-toc&#187; offset=&#187;vc_col-lg-3&#8243;][vc_column_text][\/vc_column_text][\/vc_column][vc_column width=&#187;2\/3&#8243; el_class=&#187;dkw-col-content&#187; offset=&#187;vc_col-lg-6&#8243;][vc_column_text]<\/p>\n<div class=\"\">\n<div class=\"\"><\/div>\n<\/div>\n<div class=\"\">Adam Harvey (NY, Berlin) is an artist, designer, researcher and activist. His work explores the themes of computer vision, privacy, and surveillance. In his workshop Adam Harvey will talk about the possibilities that are possible through his project VFRAME.<\/div>\n<div class=\"\">\n<div class=\"\"><\/div>\n<\/div>\n<div class=\"\">This workshop will explore the intersection of computer vision, photography, datasets, and surveillance. Starting with the\u00a0<a class=\"\" href=\"https:\/\/megapixels.cc\/\">MegaPixels<\/a><span class=\"\">\u00a0<\/span>research project, this workshop will discuss how photography has shaped datasets and how<\/div>\n<div class=\"\">the datasets have in turn shaped the way computers now see the world. But datasets are often obscure, hidden, or inaccessible to the public, and understanding how computers are analyzing us first requires an investigation into how<\/div>\n<div class=\"\">datasets are made and where that data originates. Through the MegaPixels project analyses of datasets we can begin to learn how datasets are created and how we might create our own version.<\/div>\n<div class=\"\"><\/div>\n<div class=\"\">Next, the workshop will present the\u00a0<a class=\"\" href=\"https:\/\/vframe.io\/\">VFRAME<\/a><span class=\"\">\u00a0<\/span>project, an open source computer vision toolkit designed to analyze conflict zone videos and extract useful metadata. The toolkit is written and Python and is preferably used on GPU accelerated Linux<\/div>\n<div class=\"\">systems. Running on MacOS is also possible with some limitations. You can use VFRAME on your own computers to test face blurring software, to detect common objects, and to export this as data.<\/div>\n<div class=\"\">At this point in the workshop you will be confronted with an issue: neural networks only detect objects that are quite ordinary and perhaps not relevant to your project. How do you proceed? How do you build custom computer vision algorithms that<\/div>\n<div class=\"\">can see the world in a more useful or just way? Will you search for a public dataset to train with? Collect photos and build your own?<\/div>\n<div class=\"\"><\/div>\n<div class=\"\">Finally, the workshop will present a new technique from the VRAME project for using 3D modeling to create photorealistic training data. Photogrammetry will be used to photoscan an object and import it into a 3D environment. From here, the<\/div>\n<div class=\"\">VFRAME toolkit can guide you towards developing your own neural network.<\/div>\n<div class=\"\">Requisites:<\/div>\n<div class=\"\"><\/div>\n<div class=\"\">Python familiarity is required for using VFRAME toolkit. Students can work together in groups.<\/div>\n<p>[\/vc_column_text][\/vc_column][vc_column width=&#187;1\/3&#8243; el_class=&#187;dkw-col-micro&#187; offset=&#187;vc_col-lg-3&#8243;][\/vc_column][\/vc_row][\/vc_section][vc_section el_class=&#187;dkw-dontprint&#187;][vc_row disable_element=&#187;yes&#187;][vc_column][vc_column_text]<span style=\"color: red\">\u2014 \u2014 \u2014 INFO: In beiden nachfolgenden Post Grids die passenden Recipies und die passenden Talks\u00a0 ausw\u00e4hlen \u2014 \u2014 \u2014<br \/>\n<\/span>[\/vc_column_text][\/vc_column][\/vc_row][\/vc_section][vc_section el_class=&#187;dkw-dontprint&#187;][vc_row][vc_column][vc_column_text]<\/p>\n<h2>Passende Talks<\/h2>\n<p>[\/vc_column_text][vc_basic_grid post_type=&#187;ids&#187; element_width=&#187;2&#8243; gap=&#187;10&#8243; item=&#187;517&#8243; grid_id=&#187;vc_gid:1650972921856-1b1446a6-e505-4&#8243; include=&#187;553&#8243;][\/vc_column][\/vc_row][\/vc_section]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_section][vc_row el_class=&#187;dkw-events-lead&#187;][vc_column width=&#187;1\/3&#8243;][\/vc_column][\/vc_row][vc_row el_class=&#187;dkw-events-details&#187;][vc_column width=&#187;1\/3&#8243;][\/vc_column][\/vc_row][\/vc_section][vc_section el_class=&#187;dkw-section-lead&#187;][vc_row][vc_column width=&#187;2\/3&#8243; offset=&#187;vc_col-sm-offset-2&#8243;][vc_column_text] Workshop on Computer Vision, Datasets, and Face Recognition ADAM HARVEY https:\/\/ahprojects.com\/ This workshop is made possible [&hellip;]<\/p>\n","protected":false},"author":50,"featured_media":2782,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[15,12],"tags":[],"class_list":["post-2781","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-mediadock","category-pastevents"],"acf":[],"_links":{"self":[{"href":"https:\/\/sites.hslu.ch\/werkstatt\/wp-json\/wp\/v2\/posts\/2781","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.hslu.ch\/werkstatt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sites.hslu.ch\/werkstatt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sites.hslu.ch\/werkstatt\/wp-json\/wp\/v2\/users\/50"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.hslu.ch\/werkstatt\/wp-json\/wp\/v2\/comments?post=2781"}],"version-history":[{"count":8,"href":"https:\/\/sites.hslu.ch\/werkstatt\/wp-json\/wp\/v2\/posts\/2781\/revisions"}],"predecessor-version":[{"id":3661,"href":"https:\/\/sites.hslu.ch\/werkstatt\/wp-json\/wp\/v2\/posts\/2781\/revisions\/3661"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sites.hslu.ch\/werkstatt\/wp-json\/wp\/v2\/media\/2782"}],"wp:attachment":[{"href":"https:\/\/sites.hslu.ch\/werkstatt\/wp-json\/wp\/v2\/media?parent=2781"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.hslu.ch\/werkstatt\/wp-json\/wp\/v2\/categories?post=2781"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.hslu.ch\/werkstatt\/wp-json\/wp\/v2\/tags?post=2781"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}