90b78b1379b3423aa3b4b5d0de7313f88bda23ab,chainercv/utils/mask/mask_to_bbox.py,,mask_to_bbox,#Any#,5

Before Change

    xp = cuda.get_array_module(mask)

    // CuPy does not support argwhere yet
    mask = cuda.to_cpu(mask)

    bbox = []
    for msk in mask:
        where = np.argwhere(msk)

After Change

        x_min = xs_i.min()
        y_max = ys_i.max() + 1
        x_max = xs_i.max() + 1
        bbox[i] = xp.array([y_min, x_min, y_max, x_max], dtype=np.float32)
    return bbox

Instances