car_recognizer.py 文件源码

def dbscan(points,eps,min_samples):
    db = DBSCAN(eps=eps, min_samples=min_samples).fit(points) # eps=5 min_samples = 80

    # Labeling pixels by cluster
    core_samples_mask = np.zeros_like(db.labels_, dtype=bool)
    core_samples_mask[db.core_sample_indices_] = True
    labels = db.labels_

    # Number of clusters in labels, ignoring noise if present.
    n_clusters_ = len(set(labels)) - (1 if -1 in labels else 0)

    # Creating list of clusters
    return [points[labels == i] for i in xrange(n_clusters_)]