{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/5fa80670590942ccaeb5e5fdb79a2b3e\" frameborder=\"0\" width=\"1152\" height=\"864\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":864,"width":1152,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":864,"thumbnail_width":1152,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/5fa80670590942ccaeb5e5fdb79a2b3e-f03e3d79febd2f34.gif","duration":1042.297,"title":"FishEye Desktop App Demo","description":"This Loom demonstrates how to download, install, and use the FishEye desktop app with SoundMetrics’ ARISFish. Madison Van Horn shows getting the latest open source release from GitHub, selecting the Windows installer, and completing setup, noting GPU access via CUDA to speed processing of ARIS or DIDSON files. In the app, she runs inference on a single ARIS file, describing export options like summary CSV, detailed CSV, FCE outputs for ARISFish, and MOT files, and shows the results including upstream, downstream, and net counts for a 500 frame clip. She then opens the generated output in ARISFish for review and explains that ARIS and FCe text files must be in the same location for correct marker import. Any changes whether it's adding or removing a marker will reflect in the FCe file once saved."}