ad66bf0a8faf1f230891faea92c31d8a3a0baa3f,niftynet/engine/sampler_selective.py,,candidate_indices,#Any#Any#Any#,112

Before Change

        final = np.pad(np.ones(shape_ones),
                       np.asarray(padding, dtype=np.int32),
                       "constant")
        new_win_size = np.copy(win_sizes)
        // new_win_size[:N_SPATIAL] = win_sizes[0]/8
        window_mean = np.ones(new_win_size, dtype=np.int32)
        mean_counts_size = []
        // print(unique)

After Change

        for value in unique:
            // print(np.sum(data), "sum in data", np.prod(data.shape),
            //       " elements in data")
            seg_label = (data == value).astype(data.dtype)
            // print(np.sum(seg_label), " num values in seg_label ", value)
            label_size = create_label_size_map(seg_label)
            // print(value, np.sum(seg_label), seg_label.shape,
            //       window_ones.shape, num_min)

Instances