use better face distance sorting/matching algo
This commit is contained in:
8
TODO
8
TODO
@@ -1,17 +1,13 @@
|
||||
## GENERAL
|
||||
* Face matching:
|
||||
- upgrade to face distance per face per file [DONE]
|
||||
- face locations:
|
||||
START FORM SCRATCH for prod so all images have face_locn data
|
||||
- need to reconsider whether current distance algorithm gives best match - can I do better?
|
||||
* face locations -- START FORM SCRATCH for prod so all images have face_locn data
|
||||
|
||||
* per file you could select an unknown face and add it as a ref img to an existing person, or make a new person and attach?
|
||||
* from menu, we could try to get smart/fancy... say find face with largest size, check it vs. other faces, if it matches more than say 10? we offer it up as a required ref img, then cut that face (with margin) out and use it is a new ref image / person
|
||||
- read that guys face matching / clustering / nearest neighbour examples, for a whole new AI capability
|
||||
https://www.pyimagesearch.com/2018/07/09/face-clustering-with-python/
|
||||
|
||||
* fix up logging in general
|
||||
* comment your code
|
||||
* js files
|
||||
* html files?
|
||||
## DB
|
||||
* Dir can have date in the DB, so we can do Oldest/Newest dirs in Folder view
|
||||
|
||||
Reference in New Issue
Block a user