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Merge pull request #1038 from serengil/feat-task-2402-bug-fixes-and-improvements

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Feat task 2402 bug fixes and improvements
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Sefik Ilkin Serengil 2024-02-24 16:31:01 +00:00 committed by GitHub
commit 5c420c53bb
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4 changed files with 18 additions and 8 deletions
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4
deepface/DeepFace.py
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@ -19,7 +19,7 @@ from deepface.modules import (
recognition, recognition,
demography, demography,
detection, detection,
realtime, streaming,
) )
from deepface import __version__ from deepface import __version__
@ -409,7 +409,7 @@ def stream(
time_threshold = max(time_threshold, 1) time_threshold = max(time_threshold, 1)
frame_threshold = max(frame_threshold, 1) frame_threshold = max(frame_threshold, 1)
realtime.analysis( streaming.analysis(
db_path=db_path, db_path=db_path,
model_name=model_name, model_name=model_name,
detector_backend=detector_backend, detector_backend=detector_backend,

9
deepface/detectors/Yolo.py
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@ -43,8 +43,15 @@ class YoloClient(Detector):
# Download the model's weights if they don't exist # Download the model's weights if they don't exist
if not os.path.isfile(weight_path): if not os.path.isfile(weight_path):
logger.info(f"Downloading Yolo weights from {WEIGHT_URL} to {weight_path}...")
try:
gdown.download(WEIGHT_URL, weight_path, quiet=False) gdown.download(WEIGHT_URL, weight_path, quiet=False)
logger.info(f"Downloaded YOLO model {os.path.basename(weight_path)}") except Exception as err:
raise ValueError(
f"Exception while downloading Yolo weights from {WEIGHT_URL}."
f"You may consider to download it to {weight_path} manually."
) from err
logger.info(f"Yolo model is just downloaded to {os.path.basename(weight_path)}")
# Return face_detector # Return face_detector
return YOLO(weight_path) return YOLO(weight_path)

3
deepface/modules/detection.py
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@ -76,6 +76,9 @@ def extract_faces(
# img might be path, base64 or numpy array. Convert it to numpy whatever it is. # img might be path, base64 or numpy array. Convert it to numpy whatever it is.
img, img_name = preprocessing.load_image(img_path) img, img_name = preprocessing.load_image(img_path)
if img is None:
raise ValueError(f"Exception while loading {img_name}")
base_region = FacialAreaRegion(x=0, y=0, w=img.shape[1], h=img.shape[0], confidence=0) base_region = FacialAreaRegion(x=0, y=0, w=img.shape[1], h=img.shape[0], confidence=0)
if detector_backend == "skip": if detector_backend == "skip":

6
deepface/modules/realtime.py → deepface/modules/streaming.py
View File

@ -176,7 +176,7 @@ def analysis(
demographies = DeepFace.analyze( demographies = DeepFace.analyze(
img_path=custom_face, img_path=custom_face,
detector_backend=detector_backend, detector_backend="skip",
enforce_detection=False, enforce_detection=False,
silent=True, silent=True,
) )
@ -411,7 +411,7 @@ def analysis(
img_path=custom_face, img_path=custom_face,
db_path=db_path, db_path=db_path,
model_name=model_name, model_name=model_name,
detector_backend=detector_backend, detector_backend="skip",
distance_metric=distance_metric, distance_metric=distance_metric,
enforce_detection=False, enforce_detection=False,
silent=True, silent=True,
@ -429,7 +429,7 @@ def analysis(
display_img = cv2.imread(label) display_img = cv2.imread(label)
# to use extracted face # to use extracted face
source_objs = DeepFace.extract_faces( source_objs = DeepFace.extract_faces(
img_path=label, img_path=display_img,
target_size=(pivot_img_size, pivot_img_size), target_size=(pivot_img_size, pivot_img_size),
detector_backend=detector_backend, detector_backend=detector_backend,
enforce_detection=False, enforce_detection=False,