Everything's working fine but I'm unable to debug the below error from past a week. Problem is with clf.tain() method which expects a single dimensional column vector but what we are passing is an array of arrays i.e. fds in your code. Can you please help me in overcoming this issue. I'm very disappointed from past one week.
Positive features saved in ../data/features/pos
Calculating the descriptors for the negative samples and saving them
Negative features saved in ../data/features/neg
Completed calculating features from training images
Training a Linear SVM Classifier
Traceback (most recent call last):
File "../object-detector/train-classifier.py", line 52, in
clf.train(fds,labels)
TypeError: trainData data type = 17 is not supported
Traceback (most recent call last):
File "../object-detector/test-classifier.py", line 68, in
fd = hog(im_window, orientations, pixels_per_cell, cells_per_block, visualize, normalize)
File "/usr/lib/python2.7/dist-packages/skimage/feature/_hog.py", line 63, in hog
raise ValueError("Currently only supports grey-level images")
ValueError: Currently only supports grey-level images
If I print out the contents of fds and labels, below is what I get -
hi, did u solved that issue? I have a bug related to that array too. Hope u can help :)
File "../object-detector/train-classifier.py", line 44, in
clf.fit(fds, labels)
File "/usr/lib/python2.7/dist-packages/sklearn/svm/base.py", line 668, in fit
X = atleast2d_or_csr(X, dtype=np.float64, order="C")
File "/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py", line 134, in atleast2d_or_csr
"tocsr", force_all_finite)
File "/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py", line 111, in _atleast2d_or_sparse
force_all_finite=force_all_finite)
File "/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py", line 91, in array2d
X_2d = np.asarray(np.atleast_2d(X), dtype=dtype, order=order)
File "/usr/lib/python2.7/dist-packages/numpy/core/numeric.py", line 460, in asarray
return array(a, dtype, copy=False, order=order)
ValueError: setting an array element with a sequence.
Everything's working fine but I'm unable to debug the below error from past a week. Problem is with clf.tain() method which expects a single dimensional column vector but what we are passing is an array of arrays i.e. fds in your code. Can you please help me in overcoming this issue. I'm very disappointed from past one week.
Positive features saved in ../data/features/pos Calculating the descriptors for the negative samples and saving them Negative features saved in ../data/features/neg Completed calculating features from training images Training a Linear SVM Classifier Traceback (most recent call last): File "../object-detector/train-classifier.py", line 52, in
clf.train(fds,labels)
TypeError: trainData data type = 17 is not supported
Traceback (most recent call last):
File "../object-detector/test-classifier.py", line 68, in
fd = hog(im_window, orientations, pixels_per_cell, cells_per_block, visualize, normalize)
File "/usr/lib/python2.7/dist-packages/skimage/feature/_hog.py", line 63, in hog
raise ValueError("Currently only supports grey-level images")
ValueError: Currently only supports grey-level images
If I print out the contents of fds and labels, below is what I get -
[ array([ 2.47301895e-02, 0.00000000e+00, 0.00000000e+00, ..., 2.10207273e-17, 1.68165818e-17, 0.00000000e+00]) array([ 2.22566842e-03, 5.06294401e-04, 2.59973865e-04, ..., 8.12927905e-05, 5.35716830e-05, 4.41070061e-04])] [1 0]
As you can see fds is an array of arrays