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models refactored
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serengil committed Aug 8, 2024
1 parent d2b9b75 commit b7c7a55
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import os
import gdown
import numpy as np
from deepface.basemodels import VGGFace
from deepface.models.facial_recognition import VGGFace
from deepface.commons import package_utils, folder_utils
from deepface.models.Demography import Demography
from deepface.commons.logger import Logger
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import numpy as np

# project dependencies
from deepface.basemodels import VGGFace
from deepface.models.facial_recognition import VGGFace
from deepface.commons import package_utils, folder_utils
from deepface.models.Demography import Demography
from deepface.commons.logger import Logger
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import numpy as np

# project dependencies
from deepface.basemodels import VGGFace
from deepface.models.facial_recognition import VGGFace
from deepface.commons import package_utils, folder_utils
from deepface.models.Demography import Demography
from deepface.commons.logger import Logger
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import cv2
import pandas as pd
import numpy as np
from deepface.detectors import OpenCv
from deepface.models.face_detection import OpenCv
from deepface.commons import folder_utils
from deepface.models.Detector import Detector, FacialAreaRegion
from deepface.commons.logger import Logger
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Expand Up @@ -47,7 +47,7 @@ def __init__(self):
)

# guarantees Fasnet imported and torch installed
from deepface.spoofmodels import FasNetBackbone
from deepface.models.spoofing import FasNetBackbone

# Fasnet will use 2 distinct models to predict, then it will find the sum of predictions
# to make a final prediction
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2 changes: 1 addition & 1 deletion deepface/modules/demography.py
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# project dependencies
from deepface.modules import modeling, detection, preprocessing
from deepface.extendedmodels import Gender, Race, Emotion
from deepface.models.demography import Gender, Race, Emotion


def analyze(
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8 changes: 4 additions & 4 deletions deepface/modules/modeling.py
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from typing import Any

# project dependencies
from deepface.basemodels import (
from deepface.models.facial_recognition import (
VGGFace,
OpenFace,
FbDeepFace,
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Facenet,
GhostFaceNet,
)
from deepface.detectors import (
from deepface.models.face_detection import (
FastMtCnn,
MediaPipe,
MtCnn,
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YuNet,
CenterFace,
)
from deepface.extendedmodels import Age, Gender, Race, Emotion
from deepface.spoofmodels import FasNet
from deepface.models.demography import Age, Gender, Race, Emotion
from deepface.models.spoofing import FasNet


def build_model(task: str, model_name: str) -> Any:
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