test_seg_scan_dsb.py 文件源码

def extract_candidates(predictions_scan, tf_matrix, pid, outputs_path):
    print 'computing blobs'
    start_time = time.time()
    blobs = blobs_detection.blob_dog(predictions_scan[0, 0], min_sigma=1, max_sigma=15, threshold=0.1)
    print 'blobs computation time:', (time.time() - start_time) / 60.
    print 'n blobs detected:', blobs.shape[0]

    blobs_original_voxel_coords = []
    for j in xrange(blobs.shape[0]):
        blob_j = np.append(blobs[j, :3], [1])
        blob_j_original = tf_matrix.dot(blob_j)
        blobs_original_voxel_coords.append(blob_j_original)

    blobs = np.asarray(blobs_original_voxel_coords)
    print blobs.shape
    utils.save_pkl(blobs, outputs_path + '/%s.pkl' % pid)