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Patch: Make Age model capable to handle single or batched input.

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h-alice 2025-01-16 17:09:45 +08:00
parent c72b47484d
commit 7e719dfdeb
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1 changed files with 9 additions and 8 deletions
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17
deepface/models/demography/Age.py
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@ -41,7 +41,7 @@ class ApparentAgeClient(Demography):
self.model = load_model()
self.model_name = "Age"
def predict(self, img: Union[np.ndarray, List[np.ndarray]]) -> np.ndarray:
def predict(self, img: Union[np.ndarray, List[np.ndarray]]) -> Union[np.float64, np.ndarray]:
"""
Predict apparent age(s) for single or multiple faces
Args:
@ -49,7 +49,7 @@ class ApparentAgeClient(Demography):
List of images as List[np.ndarray] or
Batch of images as np.ndarray (n, 224, 224, 3)
Returns:
np.ndarray (n,)
np.ndarray (age_classes,) if single image, np.ndarray (n, age_classes) if batched images.
"""
# Preprocessing input image or image list.
imgs = self._preprocess_batch_or_single_input(img)
@ -58,11 +58,11 @@ class ApparentAgeClient(Demography):
age_predictions = self._predict_internal(imgs)
# Calculate apparent ages
apparent_ages = np.array(
[find_apparent_age(age_prediction) for age_prediction in age_predictions]
)
if len(age_predictions.shape) == 1: # Single prediction list
return find_apparent_age(age_predictions)
else: # Batched predictions
return np.array([find_apparent_age(age_prediction) for age_prediction in age_predictions])
return apparent_ages
def load_model(
url=WEIGHTS_URL,
@ -98,15 +98,16 @@ def load_model(
return age_model
def find_apparent_age(age_predictions: np.ndarray) -> np.float64:
"""
Find apparent age prediction from a given probas of ages
Args:
age_predictions (?)
age_predictions (age_classes,)
Returns:
apparent_age (float)
"""
assert len(age_predictions.shape) == 1, "Input should be a list of age predictions, \
not batched. Got shape: {}".format(age_predictions.shape)
output_indexes = np.arange(0, 101)
apparent_age = np.sum(age_predictions * output_indexes)
return apparent_age