TypeError: type other than float or double not supported

[padalkars]

Hi. I am using ORB features instead of SIFT features.

I am facing an issue while performing clustering on the images. Please find the code snippet.

``

Create feature extraction and keypoint detector objects

orb = cv2.ORB()

List where all the descriptors are stored

des_list = []

for image_path in image_paths: im = cv2.imread(image_path) is_cv3 = cv2.version.startswith("3.") if(is_cv3): detector = cv2.ORB_create() else: detector = cv2.ORB() kpts = detector.detect(im) kpts, des = detector.compute(im,kpts) img_temp = np.zeros((1,1)) img_four = cv2.drawKeypoints(im,kpts,img_temp,color = (0,255,0), flags = 0) des_list.append((image_path, des))

Stack all the descriptors vertically in a numpy array

descriptors = des_list[0][1] for image_path, descriptor in des_list[1:]: descriptors = np.vstack((descriptors, descriptor))

Perform k-means clustering

k = 100 voc, variance = kmeans(descriptors, k, 1)

Calculate the histogram of features

im_features = np.zeros((len(image_paths), k), "float32") for i in xrange(len(image_paths)): words, distance = vq(des_list[i][1],voc) for w in words: im_features[i][w] += 1

I am facing the following error:-

Traceback (most recent call last): File "findFeatures.py", line 133, in words, distance = vq(des_list[i][1],y_kmeans[:500,]) File "/usr/local/lib/python3.5/dist-packages/scipy/cluster/vq.py", line 211, in vq return _vq.vq(c_obs, c_code_book) File "_vq.pyx", line 211, in scipy.cluster._vq.vq ValueError: observation and code should have same number of dimensions.

Please provide me with the solution to the problem.

[dmjeong1995]

Hi. I solve this problem. change the type of descriptors in the step where extract ORB feature. for example, des = des.astype('float')