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5 rows where "created_at" is on date 2020-04-28, issue = 608512747 and "updated_at" is on date 2020-04-28 sorted by updated_at descending
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issue 1
- Annotate photos using the Google Cloud Vision API · 5 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | issue | performed_via_github_app |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 620774507 | https://github.com/dogsheep/dogsheep-photos/issues/14#issuecomment-620774507 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/14 | MDEyOklzc3VlQ29tbWVudDYyMDc3NDUwNw== | simonw 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.
|
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Annotate photos using the Google Cloud Vision API 608512747 | |
| 620771067 | https://github.com/dogsheep/dogsheep-photos/issues/14#issuecomment-620771067 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/14 | MDEyOklzc3VlQ29tbWVudDYyMDc3MTA2Nw== | simonw 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)
```python from google.cloud import vision client = vision.ImageAnnotatorClient.from_service_account_file("simonwillison-photos-18c570b301fe.json") Photo of a lemurresponse = 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
|
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Annotate photos using the Google Cloud Vision API 608512747 | |
| 620772190 | https://github.com/dogsheep/dogsheep-photos/issues/14#issuecomment-620772190 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/14 | MDEyOklzc3VlQ29tbWVudDYyMDc3MjE5MA== | simonw 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. |
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Annotate photos using the Google Cloud Vision API 608512747 | |
| 620771698 | https://github.com/dogsheep/dogsheep-photos/issues/14#issuecomment-620771698 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/14 | MDEyOklzc3VlQ29tbWVudDYyMDc3MTY5OA== | simonw 9599 | 2020-04-28T18:13:48Z | 2020-04-28T18:13:48Z | MEMBER | For face detection:
|
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Annotate photos using the Google Cloud Vision API 608512747 | |
| 620769348 | https://github.com/dogsheep/dogsheep-photos/issues/14#issuecomment-620769348 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/14 | MDEyOklzc3VlQ29tbWVudDYyMDc2OTM0OA== | simonw 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. |
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Annotate photos using the Google Cloud Vision API 608512747 |
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