目前 K-means CLustring 代码在方法中是这样写的:
def predict(image_path):
image = cv2.imread(image_path)
image = image.reshape((image.shape[0] * image.shape[1], 3))
clt = KMeans(n_clusters = 3, random_state=2, n_jobs=1)
clt.fit(image)
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如何将其保存到模型中,以便将其转换为 Core-ML 并在我的应用程序中使用它?
python cluster-analysis machine-learning scikit-learn coreml