Function load_tensor

tests/dump_phase5_reference.py:195–198

(path)

        print("Loading pre-computed neck features from tests/ref/")
        # Load neck features
        def load_tensor(path):
            shape = list(map(int, open(path + ".shape").read().strip().split(",")))
            data = np.fromfile(path + ".bin", dtype=np.float32).reshape(shape)
            return torch.tensor(data)

        # Neck det features: [1, 256, H, H] for scale 2 (72x72)
        neck_det_2 = load_tensor(os.path.join(ref_dir, "neck_det_2"))  # [1, 256, 72, 72]