madebyollin / acapellabot

Acapella Extraction with a ConvNet
http://madebyoll.in/posts/cnn_acapella_extraction/
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TypeError: Indexing elements must be in increasing order #2

Closed arlose closed 7 years ago

arlose commented 7 years ago

$ python acapellabot.py test.mp3 Using TensorFlow backend. ('\x1b[33m', 'Model has 668225 params', '\x1b[0m') ('\x1b[33m', "Weights provided; performing inference on ['test.mp3']...", '\x1b[0m') ('\x1b[1m', 'Loading weights', '\x1b[0m') Traceback (most recent call last): File "acapellabot.py", line 145, in acapellabot.loadWeights(args.weights) File "acapellabot.py", line 88, in loadWeights self.model.load_weights(path) File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 2500, in load_weights load_weights_from_hdf5_group(f, self.layers) File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 2900, in load_weights_from_hdf5_group original_backend) File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 2841, in preprocess_weights_for_loading weights[0] = conv_utils.convert_kernel(weights[0]) File "/usr/local/lib/python2.7/dist-packages/keras/utils/conv_utils.py", line 86, in convert_kernel return np.copy(kernel[slices]) File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper (/tmp/pip_build_root/h5py/h5py/_objects.c:2840) File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper (/tmp/pip_build_root/h5py/h5py/_objects.c:2798) File "/usr/local/lib/python2.7/dist-packages/h5py/_hl/dataset.py", line 474, in getitem selection = sel.select(self.shape, args, dsid=self.id) File "/usr/local/lib/python2.7/dist-packages/h5py/_hl/selections.py", line 90, in select sel[args] File "/usr/local/lib/python2.7/dist-packages/h5py/_hl/selections.py", line 361, in getitem raise TypeError("Indexing elements must be in increasing order") TypeError: Indexing elements must be in increasing order

My environment as following: ubuntu 14.04 Python 2.7.6 tensorflow (1.0.1) tensorflow-gpu (1.0.1) Keras (2.0.3) h5py (2.7.0) librosa (0.5.0)