issues
16 rows where repo = 256834907, state = "open" and type = "issue" sorted by updated_at descending
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id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | pull_request | body | repo | type | active_lock_reason | performed_via_github_app | reactions | draft | state_reason |
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602533481 | MDU6SXNzdWU2MDI1MzM0ODE= | 3 | Import EXIF data into SQLite - lens used, ISO, aperture etc | simonw 9599 | open | 0 | Apple Photos online and securely browsable 5324096 | 2 | 2020-04-18T19:24:31Z | 2021-10-05T12:38:24Z | MEMBER | dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/3/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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602585497 | MDU6SXNzdWU2MDI1ODU0OTc= | 7 | Integrate image content hashing | simonw 9599 | open | 0 | 2 | 2020-04-19T00:36:58Z | 2021-08-26T02:01:01Z | MEMBER | To spot duplicate images (where the file content differs such that the sha256 is no longer a match) it would be useful to calculate and store perceptual hashes of some sort. |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/7/reactions", "total_count": 1, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 1, "rocket": 0, "eyes": 0 } |
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803333769 | MDU6SXNzdWU4MDMzMzM3Njk= | 32 | KeyError: 'Contents' on running upload | robmarkcole 11855322 | open | 0 | 3 | 2021-02-08T08:36:37Z | 2021-07-22T06:40:25Z | NONE | Following the readme, on big sur, and having entered my auth creds via ``` (venv) (base) Robins-MacBook:datasette robin$ dogsheep-photos upload photos.db ~/Pictures/Photos\ /Users/robin/Pictures/Library.photoslibrary --dry-run Fetching existing keys from S3... Traceback (most recent call last): File "/Users/robin/datasette/venv/bin/dogsheep-photos", line 8, in <module> sys.exit(cli()) File "/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py", line 829, in call return self.main(args, kwargs) File "/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py", line 782, in main rv = self.invoke(ctx) File "/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py", line 1066, in invoke return ctx.invoke(self.callback, ctx.params) File "/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py", line 610, in invoke return callback(args, **kwargs) File "/Users/robin/datasette/venv/lib/python3.8/site-packages/dogsheep_photos/cli.py", line 96, in upload key.split(".")[0] for key in get_all_keys(client, creds["photos_s3_bucket"]) File "/Users/robin/datasette/venv/lib/python3.8/site-packages/dogsheep_photos/utils.py", line 46, in get_all_keys for row in page["Contents"]: KeyError: 'Contents' ``` Possibly since the bucket is in |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/32/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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842695374 | MDU6SXNzdWU4NDI2OTUzNzQ= | 35 | Support to annotate photos on other than macOS OSes | ligurio 1151557 | open | 0 | 1 | 2021-03-28T09:01:25Z | 2021-04-05T07:37:57Z | NONE | dogsheep-photos allows to annotate photos using Apple Photo's db. It would be nice to have such ability on other OSes too. For example using trained local model or using Google Vision API (see #14). |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/35/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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830283447 | MDU6SXNzdWU4MzAyODM0NDc= | 34 | bucket name | dsisnero 6213 | open | 0 | 0 | 2021-03-12T16:40:57Z | 2021-03-12T16:40:57Z | NONE | I followed the instructions to setup credentials but I am getting a invalid bucket name. Can you put a sample auth.json file in the base that shows the correct format for this? Thanks |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/34/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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803338729 | MDU6SXNzdWU4MDMzMzg3Mjk= | 33 | photo-to-sqlite: command not found | robmarkcole 11855322 | open | 0 | 4 | 2021-02-08T08:42:57Z | 2021-02-12T15:00:44Z | NONE | Having installed in a venv I get: ``` (venv) (base) Robins-MacBook:datasette robin$ photo-to-sqlite apple-photos photos.db -bash: photo-to-sqlite: command not found ``` |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/33/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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624490929 | MDU6SXNzdWU2MjQ0OTA5Mjk= | 28 | Invalid SQL no such table: main.uploads | dmd 41439 | open | 0 | 1 | 2020-05-25T21:25:39Z | 2020-12-24T22:26:22Z | NONE | http://127.0.0.1:8001/photos/photos_with_apple_metadata gives "Invalid SQL no such table: main.uploads" |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/28/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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621486115 | MDU6SXNzdWU2MjE0ODYxMTU= | 27 | photos_with_apple_metadata view should include labels | simonw 9599 | open | 0 | 0 | 2020-05-20T06:06:17Z | 2020-05-20T06:06:17Z | MEMBER | Here's one way to add that:
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dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/27/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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621323348 | MDU6SXNzdWU2MjEzMjMzNDg= | 24 | Configurable URL for images | simonw 9599 | open | 0 | 1 | 2020-05-19T22:25:56Z | 2020-05-20T06:00:29Z | MEMBER | This is hard-coded at the moment, which is bad: https://github.com/dogsheep/photos-to-sqlite/blob/d5d69b9019703c47bc251444838578dd752801e2/photos_to_sqlite/cli.py#L269-L272 |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/24/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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615626118 | MDU6SXNzdWU2MTU2MjYxMTg= | 22 | Try out ExifReader | simonw 9599 | open | 0 | 4 | 2020-05-11T06:32:13Z | 2020-05-14T05:59:53Z | MEMBER | https://pypi.org/project/ExifReader/ New fork that should be able to handle EXIF in HEIC files. Forked here: https://github.com/ianare/exif-py/issues/102#issuecomment-626376522 Refs #3 |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/22/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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612860758 | MDU6SXNzdWU2MTI4NjA3NTg= | 18 | Switch CI solution to GitHub Actions with a macOS runner | simonw 9599 | open | 0 | 1 | 2020-05-05T20:03:50Z | 2020-05-05T23:49:18Z | MEMBER | Refs #17. |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/18/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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612287234 | MDU6SXNzdWU2MTIyODcyMzQ= | 16 | Import machine-learning detected labels (dog, llama etc) from Apple Photos | simonw 9599 | open | 0 | 13 | 2020-05-05T02:45:43Z | 2020-05-05T05:38:16Z | MEMBER | Follow-on from #1. Apple Photos runs some very sophisticated machine learning on-device to figure out if photos are of dogs, llamas and so on. I really want to extract those labels out into my own database. |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/16/reactions", "total_count": 2, "+1": 0, "-1": 0, "laugh": 1, "hooray": 1, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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602533300 | MDU6SXNzdWU2MDI1MzMzMDA= | 1 | Import photo metadata from Apple Photos into SQLite | simonw 9599 | open | 0 | Apple Photos online and securely browsable 5324096 | 8 | 2020-04-18T19:23:26Z | 2020-05-04T02:41:40Z | MEMBER | Faces, albums, locations, that kind of thing. |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/1/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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608512747 | MDU6SXNzdWU2MDg1MTI3NDc= | 14 | Annotate photos using the Google Cloud Vision API | simonw 9599 | open | 0 | 5 | 2020-04-28T18:09:03Z | 2020-04-28T18:19:06Z | MEMBER | It can detect faces, run OCR, do image labeling (it knows what a lemur is!) and do object localization where it identifies objects and returns bounding polygons for them. |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/14/reactions", "total_count": 3, "+1": 2, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 1, "rocket": 0, "eyes": 0 } |
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607888367 | MDU6SXNzdWU2MDc4ODgzNjc= | 13 | Also upload movie files | simonw 9599 | open | 0 | 2 | 2020-04-27T22:11:25Z | 2020-04-28T00:39:45Z | MEMBER | The Need to cover movies taken by my phone and DSLR too. |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/13/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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606033104 | MDU6SXNzdWU2MDYwMzMxMDQ= | 12 | If less than 500MB, show size in MB not GB | simonw 9599 | open | 0 | 1 | 2020-04-24T04:35:01Z | 2020-04-24T04:35:25Z | MEMBER | Just saw this:
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dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/12/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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