html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,issue,performed_via_github_app https://github.com/dogsheep/dogsheep-photos/issues/14#issuecomment-620774507,https://api.github.com/repos/dogsheep/dogsheep-photos/issues/14,620774507,MDEyOklzc3VlQ29tbWVudDYyMDc3NDUwNw==,9599,2020-04-28T18:19:06Z,2020-04-28T18:19:06Z,MEMBER,"The default timeout is a bit aggressive and sometimes failed for me if my resizing proxy took too long to fetch and resize the image. `client.annotate_image(..., timeout=3.0)` may be worth trying.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",608512747, https://github.com/dogsheep/dogsheep-photos/issues/14#issuecomment-620771067,https://api.github.com/repos/dogsheep/dogsheep-photos/issues/14,620771067,MDEyOklzc3VlQ29tbWVudDYyMDc3MTA2Nw==,9599,2020-04-28T18:12:34Z,2020-04-28T18:15:38Z,MEMBER,"Python library docs: https://googleapis.dev/python/vision/latest/index.html I'm creating a new project for this called simonwillison-photos: https://console.cloud.google.com/projectcreate https://console.cloud.google.com/home/dashboard?project=simonwillison-photos Then I enabled the Vision API. The direct link to https://console.cloud.google.com/flows/enableapi?apiid=vision-json.googleapis.com which they provided in the docs didn't work - it gave me a ""You don't have sufficient permissions to use the requested API"" error - but starting at the ""Enable APIs"" page and searching for it worked fine. I created a new service account as an ""owner"" of that project: https://console.cloud.google.com/apis/credentials/serviceaccountkey (and complained about it on Twitter and through their feedback form) `pip install google-cloud-vision` ```python from google.cloud import vision client = vision.ImageAnnotatorClient.from_service_account_file(""simonwillison-photos-18c570b301fe.json"") # Photo of a lemur response = client.annotate_image( { ""image"": { ""source"": { ""image_uri"": ""https://photos.simonwillison.net/i/1b3414ee9ade67ce04ade9042e6d4b433d1e523c9a16af17f490e2c0a619755b.jpeg"" } }, ""features"": [ {""type"": vision.enums.Feature.Type.IMAGE_PROPERTIES}, {""type"": vision.enums.Feature.Type.OBJECT_LOCALIZATION}, {""type"": vision.enums.Feature.Type.LABEL_DETECTION}, ], } ) response ``` Output is: ``` label_annotations { mid: ""/m/09686"" description: ""Vertebrate"" score: 0.9851104021072388 topicality: 0.9851104021072388 } label_annotations { mid: ""/m/04rky"" description: ""Mammal"" score: 0.975814163684845 topicality: 0.975814163684845 } label_annotations { mid: ""/m/01280g"" description: ""Wildlife"" score: 0.8973650336265564 topicality: 0.8973650336265564 } label_annotations { mid: ""/m/02f9pk"" description: ""Lemur"" score: 0.8270352482795715 topicality: 0.8270352482795715 } label_annotations { mid: ""/m/0fbf1m"" description: ""Terrestrial animal"" score: 0.7443860769271851 topicality: 0.7443860769271851 } label_annotations { mid: ""/m/06z_nw"" description: ""Tail"" score: 0.6934166550636292 topicality: 0.6934166550636292 } label_annotations { mid: ""/m/0b5gs"" description: ""Branch"" score: 0.6203985214233398 topicality: 0.6203985214233398 } label_annotations { mid: ""/m/05s2s"" description: ""Plant"" score: 0.585474967956543 topicality: 0.585474967956543 } label_annotations { mid: ""/m/089v3"" description: ""Zoo"" score: 0.5488107800483704 topicality: 0.5488107800483704 } label_annotations { mid: ""/m/02tcwp"" description: ""Trunk"" score: 0.5200017690658569 topicality: 0.5200017690658569 } image_properties_annotation { dominant_colors { colors { color { red: 172.0 green: 146.0 blue: 116.0 } score: 0.24523821473121643 pixel_fraction: 0.027533333748579025 } colors { color { red: 54.0 green: 50.0 blue: 42.0 } score: 0.10449723154306412 pixel_fraction: 0.12893334031105042 } colors { color { red: 141.0 green: 121.0 blue: 97.0 } score: 0.1391485631465912 pixel_fraction: 0.039133332669734955 } colors { color { red: 28.0 green: 25.0 blue: 20.0 } score: 0.08589499443769455 pixel_fraction: 0.11506666988134384 } colors { color { red: 87.0 green: 82.0 blue: 74.0 } score: 0.0845794677734375 pixel_fraction: 0.16113333404064178 } colors { color { red: 121.0 green: 117.0 blue: 108.0 } score: 0.05901569500565529 pixel_fraction: 0.13379999995231628 } colors { color { red: 94.0 green: 83.0 blue: 66.0 } score: 0.049011144787073135 pixel_fraction: 0.03946666792035103 } colors { color { red: 155.0 green: 117.0 blue: 90.0 } score: 0.04164913296699524 pixel_fraction: 0.0023333332501351833 } colors { color { red: 178.0 green: 143.0 blue: 102.0 } score: 0.02993861958384514 pixel_fraction: 0.0012666666880249977 } colors { color { red: 61.0 green: 51.0 blue: 35.0 } score: 0.027391711249947548 pixel_fraction: 0.01953333243727684 } } } crop_hints_annotation { crop_hints { bounding_poly { vertices { x: 2073 } vertices { x: 4008 } vertices { x: 4008 y: 3455 } vertices { x: 2073 y: 3455 } } confidence: 0.65625 importance_fraction: 0.746666669845581 } } localized_object_annotations { mid: ""/m/0jbk"" name: ""Animal"" score: 0.7008256912231445 bounding_poly { normalized_vertices { x: 0.0390297956764698 y: 0.26235100626945496 } normalized_vertices { x: 0.8466796875 y: 0.26235100626945496 } normalized_vertices { x: 0.8466796875 y: 0.9386426210403442 } normalized_vertices { x: 0.0390297956764698 y: 0.9386426210403442 } } } ```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",608512747, https://github.com/dogsheep/dogsheep-photos/issues/14#issuecomment-620772190,https://api.github.com/repos/dogsheep/dogsheep-photos/issues/14,620772190,MDEyOklzc3VlQ29tbWVudDYyMDc3MjE5MA==,9599,2020-04-28T18:14:43Z,2020-04-28T18:14:43Z,MEMBER,"Database schema for this will require some thought. Just dumping the output into a JSON column isn't going to be flexible enough - I want to be able to FTS against labels and OCR text, and potentially query against other characteristics too.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",608512747, https://github.com/dogsheep/dogsheep-photos/issues/14#issuecomment-620771698,https://api.github.com/repos/dogsheep/dogsheep-photos/issues/14,620771698,MDEyOklzc3VlQ29tbWVudDYyMDc3MTY5OA==,9599,2020-04-28T18:13:48Z,2020-04-28T18:13:48Z,MEMBER,"For face detection: ``` {""type"": vision.enums.Feature.Type.Type.FACE_DETECTION} ``` For OCR: ``` {""type"": vision.enums.Feature.Type.DOCUMENT_TEXT_DETECTION} ```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",608512747, https://github.com/dogsheep/dogsheep-photos/issues/14#issuecomment-620769348,https://api.github.com/repos/dogsheep/dogsheep-photos/issues/14,620769348,MDEyOklzc3VlQ29tbWVudDYyMDc2OTM0OA==,9599,2020-04-28T18:09:21Z,2020-04-28T18:09:21Z,MEMBER,"Pricing is pretty good: free for first 1,000 calls per month, then $1.50 per thousand after that.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",608512747, https://github.com/dogsheep/dogsheep-photos/issues/13#issuecomment-620309185,https://api.github.com/repos/dogsheep/dogsheep-photos/issues/13,620309185,MDEyOklzc3VlQ29tbWVudDYyMDMwOTE4NQ==,9599,2020-04-28T00:39:45Z,2020-04-28T00:39:45Z,MEMBER,I'm going to leave this until I have the mechanism for associating a live photo video with the photo.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",607888367,