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我正在編寫基於surf的圖像匹配算法。 我用400大麻閾值初始化衝浪:flann knnmatch中的OpenCV錯誤
surf = cv2.SURF(400)
並做了flann匹配。
但它運行速度太慢(在大量圖像上)。然後,我決定首先進行輕度測試,然後進行深度測試。所以我把麻木閾值改爲1200.
surf = cv2.SURF(1200)
現在速度要快得多。
matches = flann.knnMatch(des1,des2,k=2)
但在某些圖像,它拋出以下錯誤:
OpenCV Error: Assertion failed ((globalDescIdx>=0) && (globalDescIdx < size())) in getLocalIdx, file /tmp/opencv-2.4.10/modules/features2d/src/matchers.cpp, line 163
Exception in thread Thread-1:
Traceback (most recent call last):
File "/usr/lib/python2.7/threading.py", line 810, in __bootstrap_inner
self.run()
File "/usr/lib/python2.7/threading.py", line 763, in run
self.__target(*self.__args, **self.__kwargs)
File "indexThreadsDeep.py", line 97, in threadRun
if(imageMatch(qDes,tDes)):
File "indexThreadsDeep.py", line 69, in imageMatch
matches = flann.knnMatch(des1,des2,k=2)
error: /tmp/opencv-2.4.10/modules/features2d/src/matchers.cpp:163: error: (-215) (globalDescIdx>=0) && (globalDescIdx < size()) in function getLocalIdx