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我試圖使用Skimage包中的工具分割圖像之後創建區域鄰接圖。使用文檔中的示例，我可以使用SLIC分割圖像併成功創建RAG。快速轉換分段滑雪區域鄰接圖（RAG）
from skimage import data
from skimage import segmentation
from skimage.future import graph
import matplotlib.pyplot as plt
#Load Image
img = data.coffee()
#Segment image
labels = segmentation.slic(img, compactness=30, n_segments=800)
#Create RAG
g = graph.rag_mean_color(img, labels)
#Draw RAG
gplt = graph.draw_rag(labels, g, img)
plt.imshow(gplt)
但是，如果我請使用segmentation.quickshift或segmentation.felzenszwalb分割圖像，然後創建了RAG，我得到一個錯誤的draw_rag()。
labels = segmentation.quickshift(img, kernel_size=5, max_dist=5, ratio=0.5)
g = graph.rag_mean_color(img, labels)
gplt = graph.draw_rag(labels, g, img)
labels = segmentation.felzenszwalb(img, scale=100, sigma=0.5, min_size=50)
g = graph.rag_mean_color(img, labels)
gplt = graph.draw_rag(labels, g, img)
Traceback (most recent call last):
File "C:\Anaconda\lib\site-packages\IPython\core\interactiveshell.py", line 3032, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-34-c0784622a6c7>", line 1, in <module>
gplt = graph.draw_rag(labels, g, img)
File "C:\Anaconda\lib\site-packages\skimage\future\graph\rag.py", line 429, in draw_rag
out[circle] = node_color
IndexError: index 600 is out of bounds for axis 1 with size 600
的文件似乎表明，RAG方法應符合上述任何一種方法段兼容，所以我不知道如果我做錯事，有一個bug，或者可以RAG只能用於SLIC分割方法。有什麼建議麼？