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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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46
tests/test_extract_faces.py
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@ -88,45 +88,51 @@ def test_batch_extract_faces(detector_backend):
"dataset/img2.jpg", "dataset/img2.jpg",
"dataset/img3.jpg", "dataset/img3.jpg",
"dataset/img11.jpg", "dataset/img11.jpg",
"dataset/couple.jpg"
] ]
# Extract faces one by one # Extract faces one by one
img_objs_individual = [ imgs_objs_individual = [
DeepFace.extract_faces( DeepFace.extract_faces(
img_path=img_path, img_path=img_path,
detector_backend=detector_backend, detector_backend=detector_backend,
align=True, align=True,
)[0] for img_path in img_paths ) for img_path in img_paths
] ]
# Extract faces in batch # Extract faces in batch
img_objs_batch = DeepFace.extract_faces( imgs_objs_batch = DeepFace.extract_faces(
img_path=img_paths, img_path=img_paths,
detector_backend=detector_backend, detector_backend=detector_backend,
align=True, align=True,
) )
assert ( assert (
len(img_objs_batch) == 3 and len(imgs_objs_batch) == 4 and
all(isinstance(obj, list) and len(obj) == 1 for obj in img_objs_batch) 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 all(
len(imgs_objs_batch[i]) == 1
for i in range(len(imgs_objs_batch[:-1]))
)
assert len(imgs_objs_batch[-1]) == 2
assert len(img_objs_batch) == len(img_objs_individual) for img_objs_individual, img_objs_batch in zip(imgs_objs_individual, imgs_objs_batch):
assert len(img_objs_batch) == len(img_objs_individual), (
for img_obj_individual, img_obj_batch in zip(img_objs_individual, img_objs_batch): "Batch and individual extraction results should have the same number of detected faces"
# assert np.array_equal(img_obj_individual["face"], img_obj_batch["face"]) )
for key in img_obj_individual["facial_area"]: for img_obj_individual, img_obj_batch in zip(img_objs_individual, img_objs_batch):
if key == "left_eye" or key == "right_eye": for key in img_obj_individual["facial_area"]:
continue 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( assert abs(
img_obj_individual["facial_area"][key] - img_obj_individual["confidence"] -
img_obj_batch["facial_area"][key] img_obj_batch["confidence"]
) <= 0.03 * img_obj_individual["facial_area"][key] ) <= 0.03 * img_obj_individual["confidence"]
assert abs(
img_obj_individual["confidence"] -
img_obj_batch["confidence"]
) <= 0.03 * img_obj_individual["confidence"]
def test_backends_for_enforced_detection_with_non_facial_inputs(): def test_backends_for_enforced_detection_with_non_facial_inputs():