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immich/machine-learning/app/schemas.py
Mert bcc36d14a1
feat(ml)!: customizable ML settings (#3891)
* consolidated endpoints, added live configuration

* added ml settings to server

* added settings dashboard

* updated deps, fixed typos

* simplified modelconfig

updated tests

* Added ml setting accordion for admin page

updated tests

* merge `clipText` and `clipVision`

* added face distance setting

clarified setting

* add clip mode in request, dropdown for face models

* polished ml settings

updated descriptions

* update clip field on error

* removed unused import

* add description for image classification threshold

* pin safetensors for arm wheel

updated poetry lock

* moved dto

* set model type only in ml repository

* revert form-data package install

use fetch instead of axios

* added slotted description with link

updated facial recognition description

clarified effect of disabling tasks

* validation before model load

* removed unnecessary getconfig call

* added migration

* updated api

updated api

updated api

---------

Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
2023-08-29 08:58:00 -05:00

33 lines
602 B
Python

from enum import StrEnum
from pydantic import BaseModel
def to_lower_camel(string: str) -> str:
tokens = [token.capitalize() if i > 0 else token for i, token in enumerate(string.split("_"))]
return "".join(tokens)
class TextModelRequest(BaseModel):
text: str
class TextResponse(BaseModel):
__root__: str
class MessageResponse(BaseModel):
message: str
class BoundingBox(BaseModel):
x1: int
y1: int
x2: int
y2: int
class ModelType(StrEnum):
IMAGE_CLASSIFICATION = "image-classification"
CLIP = "clip"
FACIAL_RECOGNITION = "facial-recognition"