Ejemplo n.º 1
0
    '''
    frame_of_deep_blobs = {  # initialize frame_of_deep_blobs
        'blob_': [],
        'params': {
            'I': frame_of_blobs['I'],
            'G': frame_of_blobs['G'],
            'Dy': frame_of_blobs['Dy'],
            'Dx': frame_of_blobs['Dx'],
            # deeper params are initialized when they are fetched
        }),
    }
    for blob in frame_of_blobs['blob_']:  # evaluate recursive sub-clustering in each blob, via cluster_eval -> intra_fork
    
        if blob['Dert']['G'] > aveB:  # +G blob directly calls intra_fork(comp_g), no immediate sub-clustering
            intra_fork(blob, aveF, aveC, aveB, ave, rng * 2 + 1, 1, fig=0, fa=0)  # nI = 1: g
        
        elif -blob['Dert']['G'] > aveB: # -G blob, sub-clustering by -vg for rng+ eval
            cluster_eval(blob, aveF, aveC, aveB, ave, rng + 1, 2, fig=0, fa=0)  # cluster by -g for rng+, idiomatic crit=2: not index 

        frame_of_deep_blobs['blob_'].append(blob)
        frame_of_deep_blobs['params'][1:] += blob['params'][1:]  # incorrect, for selected blob params only?
    '''

    # DEBUG -------------------------------------------------------------------
    from utils import map_frame

    cv2.imwrite("../images/blobs.bmp", map_frame(frame_of_blobs))
    # END DEBUG ---------------------------------------------------------------

    end_time = time() - start_time
    print(end_time)
Ejemplo n.º 2
0
# -----------------------------------------------------------------------------
# Main

if __name__ == '__main__':
    image = imread(image_path).astype(int)

    start_time = time()
    frame_of_blobs = image_to_blobs(image)
    '''
    frame_of_blobs = [  # evaluate for deeper sub-clustering within each blob, recursively
    for blob in frame_of_blobs:

        if blob['Dert']['G'] > aveB:  # +G blob, exclusive g- sub-clustering for der+ eval
        cluster_eval(blob, aveF, aveC, aveB, ave, rng * 2 + 1, 1, fig=0, fa=0)  # cluster by g

        elif -blob['Dert']['G'] > aveB: # -G blob, exclusive m- sub-clustering for rng+ eval
        cluster_eval(blob, aveF, aveC, aveB, ave, rng + 1, 2, fig=0, fa=0)  # cluster by m, defined in form_P
    ]  
    '''
    # DEBUG -------------------------------------------------------------------
    if DEBUG:
        from utils import draw, map_frame
        draw("./../visualization/images/blobs", map_frame(frame_of_blobs))

        # from intra_blob_test import intra_blob
        # intra_blob(frame_of_blobs[1])

    # END DEBUG ---------------------------------------------------------------

    end_time = time() - start_time
    print(end_time)