ActivityPub Viewer

A small tool to view real-world ActivityPub objects as JSON! Enter a URL or username from Mastodon or a similar service below, and we'll send a request with the right Accept header to the server to view the underlying object.

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{ "@context": [ "https://www.w3.org/ns/activitystreams", { "ostatus": "http://ostatus.org#", "atomUri": "ostatus:atomUri", "inReplyToAtomUri": "ostatus:inReplyToAtomUri", "conversation": "ostatus:conversation", "sensitive": "as:sensitive", "toot": "http://joinmastodon.org/ns#", "votersCount": "toot:votersCount", "blurhash": "toot:blurhash", "focalPoint": { "@container": "@list", "@id": "toot:focalPoint" }, "Hashtag": "as:Hashtag" } ], "id": "https://post.lurk.org/users/vvvvvilay/statuses/113908177138529829", "type": "Note", "summary": null, "inReplyTo": null, "published": "2025-01-28T21:47:27Z", "url": "https://post.lurk.org/@vvvvvilay/113908177138529829", "attributedTo": "https://post.lurk.org/users/vvvvvilay", "to": [ "https://www.w3.org/ns/activitystreams#Public" ], "cc": [ "https://post.lurk.org/users/vvvvvilay/followers", "https://mastodon.social/users/greenfabric" ], "sensitive": false, "atomUri": "https://post.lurk.org/users/vvvvvilay/statuses/113908177138529829", "inReplyToAtomUri": null, "conversation": "tag:post.lurk.org,2025-01-28:objectId=49861881:objectType=Conversation", "localOnly": false, "content": "<p>strip-p-ed out</p><p>A 3 months <a href=\"https://post.lurk.org/tags/research\" class=\"mention hashtag\" rel=\"tag\">#<span>research</span></a> around <a href=\"https://post.lurk.org/tags/patterns\" class=\"mention hashtag\" rel=\"tag\">#<span>patterns</span></a> to bypass <a href=\"https://post.lurk.org/tags/cctv\" class=\"mention hashtag\" rel=\"tag\">#<span>cctv</span></a> <a href=\"https://post.lurk.org/tags/facerecognition\" class=\"mention hashtag\" rel=\"tag\">#<span>facerecognition</span></a>.<br />Tested with <a href=\"https://post.lurk.org/tags/opencv\" class=\"mention hashtag\" rel=\"tag\">#<span>opencv</span></a>.<br />Project done in the <a href=\"https://post.lurk.org/tags/fabricademy\" class=\"mention hashtag\" rel=\"tag\">#<span>fabricademy</span></a>, a programme over textile and technology, at the <span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@greenfabric\" class=\"u-url mention\">@<span>greenfabric</span></a></span> node.</p><p>I knitted 2 kimonos on a <a href=\"https://post.lurk.org/tags/kniterate\" class=\"mention hashtag\" rel=\"tag\">#<span>kniterate</span></a>, a semi-industrial <a href=\"https://post.lurk.org/tags/machineknitting\" class=\"mention hashtag\" rel=\"tag\">#<span>machineknitting</span></a> with deadstock yarns. The 3rd one is a deadstock fabric whose pattern was already a working <a href=\"https://post.lurk.org/tags/camouflage\" class=\"mention hashtag\" rel=\"tag\">#<span>camouflage</span></a> for opencv.</p><p>The project is fully documented here:<br /><a href=\"http://class.textile-academy.org/2024/stephanie-vilayphiou/project/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">http://</span><span class=\"ellipsis\">class.textile-academy.org/2024</span><span class=\"invisible\">/stephanie-vilayphiou/project/</span></a></p><p>Concerning cctv surveillance, France has recently gone crazy over it... it seems like they want to recognise logos from organisations in protests and faces associated with them... does someone know an opencv algorithm to detect specific images? Or does it necessarily go through machine learning?</p>", "contentMap": { "fr": "<p>strip-p-ed out</p><p>A 3 months <a href=\"https://post.lurk.org/tags/research\" class=\"mention hashtag\" rel=\"tag\">#<span>research</span></a> around <a href=\"https://post.lurk.org/tags/patterns\" class=\"mention hashtag\" rel=\"tag\">#<span>patterns</span></a> to bypass <a href=\"https://post.lurk.org/tags/cctv\" class=\"mention hashtag\" rel=\"tag\">#<span>cctv</span></a> <a href=\"https://post.lurk.org/tags/facerecognition\" class=\"mention hashtag\" rel=\"tag\">#<span>facerecognition</span></a>.<br />Tested with <a href=\"https://post.lurk.org/tags/opencv\" class=\"mention hashtag\" rel=\"tag\">#<span>opencv</span></a>.<br />Project done in the <a href=\"https://post.lurk.org/tags/fabricademy\" class=\"mention hashtag\" rel=\"tag\">#<span>fabricademy</span></a>, a programme over textile and technology, at the <span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@greenfabric\" class=\"u-url mention\">@<span>greenfabric</span></a></span> node.</p><p>I knitted 2 kimonos on a <a href=\"https://post.lurk.org/tags/kniterate\" class=\"mention hashtag\" rel=\"tag\">#<span>kniterate</span></a>, a semi-industrial <a href=\"https://post.lurk.org/tags/machineknitting\" class=\"mention hashtag\" rel=\"tag\">#<span>machineknitting</span></a> with deadstock yarns. The 3rd one is a deadstock fabric whose pattern was already a working <a href=\"https://post.lurk.org/tags/camouflage\" class=\"mention hashtag\" rel=\"tag\">#<span>camouflage</span></a> for opencv.</p><p>The project is fully documented here:<br /><a href=\"http://class.textile-academy.org/2024/stephanie-vilayphiou/project/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">http://</span><span class=\"ellipsis\">class.textile-academy.org/2024</span><span class=\"invisible\">/stephanie-vilayphiou/project/</span></a></p><p>Concerning cctv surveillance, France has recently gone crazy over it... it seems like they want to recognise logos from organisations in protests and faces associated with them... does someone know an opencv algorithm to detect specific images? Or does it necessarily go through machine learning?</p>" }, "updated": "2025-01-28T22:47:20Z", "attachment": [ { "type": "Document", "mediaType": "video/mp4", "url": "https://post.lurk.org/system/media_attachments/files/113/908/169/768/424/095/original/662ec66a0e026259.mp4", "name": "Video explaining the striped out project. It shows the first tests by drawing on Gimp, then making clothes for barbie dolls as prototypes. Then knitting on the kniterate machine. Showing some data of the amount of cctvs in big cities...", "blurhash": "U1TI,axu~q%M~qfQj[j[_3of00Rj~qj[WBay", "width": 640, "height": 360 } ], "tag": [ { "type": "Mention", "href": "https://mastodon.social/users/greenfabric", "name": "@greenfabric@mastodon.social" }, { "type": "Hashtag", "href": "https://post.lurk.org/tags/research", "name": "#research" }, { "type": "Hashtag", "href": "https://post.lurk.org/tags/patterns", "name": "#patterns" }, { "type": "Hashtag", "href": "https://post.lurk.org/tags/cctv", "name": "#cctv" }, { "type": "Hashtag", "href": "https://post.lurk.org/tags/facerecognition", "name": "#facerecognition" }, { "type": "Hashtag", "href": "https://post.lurk.org/tags/opencv", "name": "#opencv" }, { "type": "Hashtag", "href": "https://post.lurk.org/tags/fabricademy", "name": "#fabricademy" }, { "type": "Hashtag", "href": "https://post.lurk.org/tags/kniterate", "name": "#kniterate" }, { "type": "Hashtag", "href": "https://post.lurk.org/tags/camouflage", "name": "#camouflage" }, { "type": "Hashtag", "href": "https://post.lurk.org/tags/machineknitting", "name": "#machineknitting" } ], "replies": { "id": "https://post.lurk.org/users/vvvvvilay/statuses/113908177138529829/replies", "type": "Collection", "first": { "type": "CollectionPage", "next": "https://post.lurk.org/users/vvvvvilay/statuses/113908177138529829/replies?min_id=113908368297997464&page=true", "partOf": "https://post.lurk.org/users/vvvvvilay/statuses/113908177138529829/replies", "items": [ "https://post.lurk.org/users/vvvvvilay/statuses/113908368297997464" ] } } }