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[update] remove dummy functions

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This commit is contained in:
Nat Lee 2024-12-31 17:30:28 +08:00
parent ffbba7fe83
commit edcef02511
2 changed files with 0 additions and 47 deletions
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26
deepface/models/demography/Age.py
View File

@ -75,32 +75,6 @@ class ApparentAgeClient(Demography):
return apparent_ages
def predicts(self, imgs: List[np.ndarray]) -> np.ndarray:
"""
Predict apparent ages of multiple faces
Args:
imgs (List[np.ndarray]): (n, 224, 224, 3)
Returns:
apparent_ages (np.ndarray): (n,)
"""
# Convert list to numpy array
imgs_:np.ndarray = np.array(imgs)
# Remove batch dimension if exists
imgs_ = imgs_.squeeze()
# Check if the input is a single image
if len(imgs_.shape) == 3:
# Add batch dimension if not exists
imgs_ = np.expand_dims(imgs_, axis=0)
# Batch prediction
age_predictions = self.model.predict_on_batch(imgs_)
apparent_ages = np.array(
[find_apparent_age(age_prediction) for age_prediction in age_predictions]
)
return apparent_ages
def load_model(
url=WEIGHTS_URL,
) -> Model:

21
deepface/models/demography/Gender.py
View File

@ -70,27 +70,6 @@ class GenderClient(Demography):
return predictions
def predicts(self, imgs: List[np.ndarray]) -> np.ndarray:
"""
Predict apparent ages of multiple faces
Args:
imgs (List[np.ndarray]): (n, 224, 224, 3)
Returns:
apparent_ages (np.ndarray): (n,)
"""
# Convert list to numpy array
imgs_:np.ndarray = np.array(imgs)
# Remove redundant dimensions
imgs_ = imgs_.squeeze()
# Check if the input is a single image
if len(imgs_.shape) == 3:
# Add batch dimension
imgs_ = np.expand_dims(imgs_, axis=0)
return self.model.predict_on_batch(imgs_)
def load_model(
url=WEIGHTS_URL,
) -> Model: