blakeblackshear.frigate/frigate/detectors/detector_config.py
Anil Ozyalcin b33094207c
YOLOX support for OpenVINO Detector (#5285)
* Initial commit to enable Yolox models with OpenVINO in Frigate

* Fix ModelEnumtType import error in openvino.py

* Initial edit of the docs to include verbage about yolox

* Initial edit of the docs to include verbage about yolox

* Elaborate configuration and limitations in docs.

* Add capability to dynamically determine number of classes in yolox model

* Further refinements

* Removed unnecesarry comments, improved documentation, addressed PR items

* Fixed lint formatting issues
2023-02-03 19:36:37 -06:00

89 lines
2.6 KiB
Python

import logging
from enum import Enum
from typing import Dict, List, Optional, Tuple, Union, Literal
import matplotlib.pyplot as plt
from pydantic import BaseModel, Extra, Field, validator
from pydantic.fields import PrivateAttr
from frigate.util import load_labels
logger = logging.getLogger(__name__)
class PixelFormatEnum(str, Enum):
rgb = "rgb"
bgr = "bgr"
yuv = "yuv"
class InputTensorEnum(str, Enum):
nchw = "nchw"
nhwc = "nhwc"
class ModelTypeEnum(str, Enum):
ssd = "ssd"
yolox = "yolox"
class ModelConfig(BaseModel):
path: Optional[str] = Field(title="Custom Object detection model path.")
labelmap_path: Optional[str] = Field(title="Label map for custom object detector.")
width: int = Field(default=320, title="Object detection model input width.")
height: int = Field(default=320, title="Object detection model input height.")
labelmap: Dict[int, str] = Field(
default_factory=dict, title="Labelmap customization."
)
input_tensor: InputTensorEnum = Field(
default=InputTensorEnum.nhwc, title="Model Input Tensor Shape"
)
input_pixel_format: PixelFormatEnum = Field(
default=PixelFormatEnum.rgb, title="Model Input Pixel Color Format"
)
model_type: ModelTypeEnum = Field(
default=ModelTypeEnum.ssd, title="Object Detection Model Type"
)
_merged_labelmap: Optional[Dict[int, str]] = PrivateAttr()
_colormap: Dict[int, Tuple[int, int, int]] = PrivateAttr()
@property
def merged_labelmap(self) -> Dict[int, str]:
return self._merged_labelmap
@property
def colormap(self) -> Dict[int, Tuple[int, int, int]]:
return self._colormap
def __init__(self, **config):
super().__init__(**config)
self._merged_labelmap = {
**load_labels(config.get("labelmap_path", "/labelmap.txt")),
**config.get("labelmap", {}),
}
self._colormap = {}
def create_colormap(self, enabled_labels: set[str]) -> None:
"""Get a list of colors for enabled labels."""
cmap = plt.cm.get_cmap("tab10", len(enabled_labels))
for key, val in enumerate(enabled_labels):
self._colormap[val] = tuple(int(round(255 * c)) for c in cmap(key)[:3])
class Config:
extra = Extra.forbid
class BaseDetectorConfig(BaseModel):
# the type field must be defined in all subclasses
type: str = Field(default="cpu", title="Detector Type")
model: ModelConfig = Field(
default=None, title="Detector specific model configuration."
)
class Config:
extra = Extra.allow
arbitrary_types_allowed = True