idc trace 3

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-5-1822e9eddf08> in <module>()
      8     return (glob_dist_in,ref_img_fullres)
      9
---> 10 (glob_dist_ref,ref_img_fullres) = get_global_histogram(ref_path)
     11 img_pred = cid.net_forward(input_ab,input_mask,glob_dist_ref);
     12 img_pred_withref_fullres = cid.get_img_fullres()

<ipython-input-5-1822e9eddf08> in get_global_histogram(img_path)
      4     img_glob_dist = (255*caffe.io.resize_image(ref_img_fullres,(Xd,Xd))).astype('uint8') # load image
      5     gt_glob_net.blobs['img_bgr'].data[...] = img_glob_dist[:,:,::-1].transpose((2,0,1)) # put into
----> 6     gt_glob_net.forward();
      7     glob_dist_in = gt_glob_net.blobs['gt_glob_ab_313_drop'].data[0,:-1,0,0].copy()
      8     return (glob_dist_in,ref_img_fullres)

/home/tranvick/tmp/caffe/python/caffe/pycaffe.pyc in _Net_forward(self, blobs, start, end, **kwargs)
    129             self.blobs[in_].data[...] = blob
    130
--> 131     self._forward(start_ind, end_ind)
    132
    133     # Unpack blobs to extract

/home/tranvick/interactive-deep-colorization/caffe_files/caffe_datalayers.py in forward(self, bottom, top)
     53
     54     def forward(self, bottom, top):
---> 55         top[0].data[...] = self.nnenc.encode_points_mtx_nd(bottom[0].data[...],axis=1)
     56
     57     def backward(self, top, propagate_down, bottom):

/home/tranvick/interactive-deep-colorization/caffe_files/color_quantization.pyc in encode_points_mtx_nd(self, pts_nd, axis, returnSparse)
    471                 P = pts_flt.shape[0]
    472
--> 473                 (dists,inds) = self.nbrs.kneighbors(pts_flt)
    474
    475                 pts_enc_flt = np.zeros((P,self.K))

/usr/local/lib/python2.7/dist-packages/sklearn/neighbors/base.pyc in kneighbors(self, X, n_neighbors, return_distance)
    379                 delayed(self._tree.query, check_pickle=False)(
    380                     X[s], n_neighbors, return_distance)
--> 381                 for s in gen_even_slices(X.shape[0], n_jobs)
    382             )
    383             if return_distance:

/usr/local/lib/python2.7/dist-packages/sklearn/externals/joblib/parallel.pyc in __call__(self, iterable)
    756             # was dispatched. In particular this covers the edge
    757             # case of Parallel used with an exhausted iterator.
--> 758             while self.dispatch_one_batch(iterator):
    759                 self._iterating = True
    760             else:

/usr/local/lib/python2.7/dist-packages/sklearn/externals/joblib/parallel.pyc in dispatch_one_batch(self, iterator)
    606                 return False
    607             else:
--> 608                 self._dispatch(tasks)
    609                 return True
    610

/usr/local/lib/python2.7/dist-packages/sklearn/externals/joblib/parallel.pyc in _dispatch(self, batch)
    569         dispatch_timestamp = time.time()
    570         cb = BatchCompletionCallBack(dispatch_timestamp, len(batch), self)
--> 571         job = self._backend.apply_async(batch, callback=cb)
    572         self._jobs.append(job)
    573

/usr/local/lib/python2.7/dist-packages/sklearn/externals/joblib/_parallel_backends.pyc in apply_async(self, func, callback)
    107     def apply_async(self, func, callback=None):
    108         """Schedule a func to be run"""
--> 109         result = ImmediateResult(func)
    110         if callback:
    111             callback(result)

/usr/local/lib/python2.7/dist-packages/sklearn/externals/joblib/_parallel_backends.pyc in __init__(self, batch)
    324         # Don't delay the application, to avoid keeping the input
    325         # arguments in memory
--> 326         self.results = batch()
    327
    328     def get(self):

/usr/local/lib/python2.7/dist-packages/sklearn/externals/joblib/parallel.pyc in __call__(self)
    129
    130     def __call__(self):
--> 131         return [func(*args, **kwargs) for func, args, kwargs in self.items]
    132
    133     def __len__(self):

sklearn/neighbors/binary_tree.pxi in sklearn.neighbors.ball_tree.BinaryTree.query (sklearn/neighbors/ball_tree.c:11505)()

sklearn/neighbors/binary_tree.pxi in sklearn.neighbors.ball_tree.NeighborsHeap.__init__ (sklearn/neighbors/ball_tree.c:5573)()

TypeError: 'float' object cannot be interpreted as an index