github/deepface
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adding IO[bytes] types to functions that now accept io objects

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This commit is contained in:
Samuel J. Woodward 2025-01-10 11:05:43 -05:00
parent 8c5a23536d
commit 39173b748b
2 changed files with 9 additions and 9 deletions
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14
deepface/DeepFace.py
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@ -2,7 +2,7 @@
import os
import warnings
import logging
from typing import Any, Dict, List, Union, Optional
from typing import Any, Dict, IO, List, Union, Optional
# this has to be set before importing tensorflow
os.environ["TF_USE_LEGACY_KERAS"] = "1"
@ -68,8 +68,8 @@ def build_model(model_name: str, task: str = "facial_recognition") -> Any:
def verify(
img1_path: Union[str, np.ndarray, List[float]],
img2_path: Union[str, np.ndarray, List[float]],
img1_path: Union[str, np.ndarray, IO[bytes], List[float]],
img2_path: Union[str, np.ndarray, IO[bytes], List[float]],
model_name: str = "VGG-Face",
detector_backend: str = "opencv",
distance_metric: str = "cosine",
@ -164,7 +164,7 @@ def verify(
def analyze(
img_path: Union[str, np.ndarray],
img_path: Union[str, np.ndarray, IO[bytes]],
actions: Union[tuple, list] = ("emotion", "age", "gender", "race"),
enforce_detection: bool = True,
detector_backend: str = "opencv",
@ -263,7 +263,7 @@ def analyze(
def find(
img_path: Union[str, np.ndarray],
img_path: Union[str, np.ndarray, IO[bytes]],
db_path: str,
model_name: str = "VGG-Face",
distance_metric: str = "cosine",
@ -369,7 +369,7 @@ def find(
def represent(
img_path: Union[str, np.ndarray],
img_path: Union[str, np.ndarray, IO[bytes]],
model_name: str = "VGG-Face",
enforce_detection: bool = True,
detector_backend: str = "opencv",
@ -505,7 +505,7 @@ def stream(
def extract_faces(
img_path: Union[str, np.ndarray],
img_path: Union[str, np.ndarray, IO[bytes]],
detector_backend: str = "opencv",
enforce_detection: bool = True,
align: bool = True,

4
deepface/modules/detection.py
View File

@ -1,5 +1,5 @@
# built-in dependencies
from typing import Any, Dict, List, Tuple, Union, Optional
from typing import Any, Dict, IO, List, Tuple, Union, Optional
# 3rd part dependencies
from heapq import nlargest
@ -19,7 +19,7 @@ logger = Logger()
def extract_faces(
img_path: Union[str, np.ndarray],
img_path: Union[str, np.ndarray, IO[bytes]],
detector_backend: str = "opencv",
enforce_detection: bool = True,
align: bool = True,