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batch test assert shape
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@ -180,6 +180,7 @@ def test_batch_extract_faces_with_nparray(detector_backend):
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cv2.resize(image_utils.load_image(img_path)[0], (1920, 1080))
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for img_path in img_paths
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]
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expected_num_faces = [1, 1, 1, 2]
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# load images as numpy arrays
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imgs_batch = np.stack(imgs, axis=0)
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@ -191,6 +192,9 @@ def test_batch_extract_faces_with_nparray(detector_backend):
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align=True,
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enforce_detection=False,
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)
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assert len(imgs_objs_batch) == 4
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for img_objs_batch, expected_num_faces in zip(imgs_objs_batch, expected_num_faces):
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assert len(img_objs_batch) == expected_num_faces
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# extract faces in batch of paths
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imgs_objs_batch_paths = DeepFace.extract_faces(
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