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add a couple to test batch extract faces

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galthran-wq 2025-02-18 09:03:17 +00:00
parent 60bee4e1a9
commit f3d05ef2d5
1 changed files with 27 additions and 21 deletions
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48
tests/test_extract_faces.py
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@ -88,45 +88,51 @@ def test_batch_extract_faces(detector_backend):
"dataset/img2.jpg",
"dataset/img3.jpg",
"dataset/img11.jpg",
"dataset/couple.jpg"
]
# Extract faces one by one
img_objs_individual = [
imgs_objs_individual = [
DeepFace.extract_faces(
img_path=img_path,
detector_backend=detector_backend,
align=True,
)[0] for img_path in img_paths
) for img_path in img_paths
]
# Extract faces in batch
img_objs_batch = DeepFace.extract_faces(
imgs_objs_batch = DeepFace.extract_faces(
img_path=img_paths,
detector_backend=detector_backend,
align=True,
)
assert (
len(img_objs_batch) == 3 and
all(isinstance(obj, list) and len(obj) == 1 for obj in img_objs_batch)
len(imgs_objs_batch) == 4 and
all(isinstance(obj, list) for obj in imgs_objs_batch)
)
img_objs_batch = [obj for sublist in img_objs_batch for obj in sublist]
assert len(img_objs_batch) == len(img_objs_individual)
for img_obj_individual, img_obj_batch in zip(img_objs_individual, img_objs_batch):
# assert np.array_equal(img_obj_individual["face"], img_obj_batch["face"])
for key in img_obj_individual["facial_area"]:
if key == "left_eye" or key == "right_eye":
continue
assert all(
len(imgs_objs_batch[i]) == 1
for i in range(len(imgs_objs_batch[:-1]))
)
assert len(imgs_objs_batch[-1]) == 2
for img_objs_individual, img_objs_batch in zip(imgs_objs_individual, imgs_objs_batch):
assert len(img_objs_batch) == len(img_objs_individual), (
"Batch and individual extraction results should have the same number of detected faces"
)
for img_obj_individual, img_obj_batch in zip(img_objs_individual, img_objs_batch):
for key in img_obj_individual["facial_area"]:
if key == "left_eye" or key == "right_eye":
continue
assert abs(
img_obj_individual["facial_area"][key] -
img_obj_batch["facial_area"][key]
) <= 0.03 * img_obj_individual["facial_area"][key]
assert abs(
img_obj_individual["facial_area"][key] -
img_obj_batch["facial_area"][key]
) <= 0.03 * img_obj_individual["facial_area"][key]
assert abs(
img_obj_individual["confidence"] -
img_obj_batch["confidence"]
) <= 0.03 * img_obj_individual["confidence"]
img_obj_individual["confidence"] -
img_obj_batch["confidence"]
) <= 0.03 * img_obj_individual["confidence"]
def test_backends_for_enforced_detection_with_non_facial_inputs():