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Comment out broken models.

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This commit is contained in:
Vincent STRAGIER 2023-06-23 20:45:58 +02:00
parent 205eb0e23d
commit 0510613004
1 changed files with 13 additions and 6 deletions
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19
deepface/detectors/Yolov8faceWrapper.py
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@ -2,8 +2,11 @@ from deepface.detectors import FaceDetector
# Models names and paths # Models names and paths
PATHS = { PATHS = {
"yolov8-lite-t": "/.deepface/weights/yolov8-lite-t.pt", # The commented models are broken, their weights are available
"yolov8-lite-s": "/.deepface/weights/yolov8-lite-s.pt", # but the models themselves are not working
# See https://github.com/derronqi/yolov8-face/issues/3 for details
# "yolov8-lite-t": "/.deepface/weights/yolov8-lite-t.pt",
# "yolov8-lite-s": "/.deepface/weights/yolov8-lite-s.pt",
"yolov8n": "/.deepface/weights/yolov8n-face.pt", "yolov8n": "/.deepface/weights/yolov8n-face.pt",
} }
@ -12,8 +15,11 @@ BASE_URL = "https://drive.google.com/uc?id="
# Models' Google Drive IDs # Models' Google Drive IDs
IDS = { IDS = {
"yolov8-lite-t": "1vFMGW8xtRVo9bfC9yJVWWGY7vVxbLh94", # The commented models are broken, their weights are available
"yolov8-lite-s": "1ckpBT8KfwURTvTm5pa-cMC89A0V5jbaq", # but the models themselves are not working
# See https://github.com/derronqi/yolov8-face/issues/3 for details
# "yolov8-lite-t": "1vFMGW8xtRVo9bfC9yJVWWGY7vVxbLh94",
# "yolov8-lite-s": "1ckpBT8KfwURTvTm5pa-cMC89A0V5jbaq",
"yolov8n": "1qcr9DbgsX3ryrz2uU8w4Xm3cOrRywXqb", "yolov8n": "1qcr9DbgsX3ryrz2uU8w4Xm3cOrRywXqb",
} }
@ -49,7 +55,8 @@ def detect_face(face_detector, img, align=False):
resp = [] resp = []
# Detect faces # Detect faces
results = face_detector.predict(img, verbose=False, show=False, conf=0.25)[0] results = face_detector.predict(
img, verbose=False, show=False, conf=0.25)[0]
# For each face, extract the bounding box, the landmarks and confidence # For each face, extract the bounding box, the landmarks and confidence
for result in results: for result in results:
@ -58,7 +65,7 @@ def detect_face(face_detector, img, align=False):
confidence = result.boxes.conf.tolist()[0] confidence = result.boxes.conf.tolist()[0]
x, y, w, h = int(x - w / 2), int(y - h / 2), int(w), int(h) x, y, w, h = int(x - w / 2), int(y - h / 2), int(w), int(h)
detected_face = img[y : y + h, x : x + w].copy() detected_face = img[y: y + h, x: x + w].copy()
if align: if align:
# Extract landmarks # Extract landmarks