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unit test extended for centerface

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This commit is contained in:
Sefik Ilkin Serengil 2024-04-12 14:49:07 +01:00
parent 6b3a4eff22
commit 4577b43051
1 changed files with 8 additions and 4 deletions
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12
tests/visual-test.py
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@ -34,9 +34,10 @@ detector_backends = [
"retinaface",
"yunet",
"yolov8",
"centerface",
]
"""
# verification
for model_name in model_names:
obj = DeepFace.verify(
@ -59,7 +60,7 @@ dfs = DeepFace.find(
)
for df in dfs:
logger.info(df)
"""
expand_areas = [0]
img_paths = ["dataset/img11.jpg", "dataset/img11_reflection.jpg"]
@ -75,7 +76,7 @@ for expand_area in expand_areas:
)
for face_obj in face_objs:
face = face_obj["face"]
logger.info(detector_backend)
logger.info(f"testing {img_path} with {detector_backend}")
logger.info(face_obj["facial_area"])
logger.info(face_obj["confidence"])
@ -99,7 +100,10 @@ for expand_area in expand_areas:
le_x = face_obj["facial_area"]["left_eye"][0]
assert re_x < le_x, "right eye must be the right eye of the person"
assert isinstance(face_obj["confidence"], float)
type_conf = type(face_obj["confidence"])
assert isinstance(
face_obj["confidence"], float
), f"confidence type must be float but it is {type_conf}"
assert face_obj["confidence"] <= 1
plt.imshow(face)