I use the latest mxnet and c3d-mxnet and follow the instruction to train the ucf101 dataset,
but the Validation-accuracy remains the same
does anyone have the same problem?
~/C3D-mxnet$ sudo python train_ucf101.py
9537
3783
[('data', (10, 3, 28, 122, 122))] [('label', (10,))]
train_ucf101.py:164: DeprecationWarning: mxnet.model.FeedForward has been deprecated. Please use mxnet.mod.Module instead.
initializer = mx.init.Xavier(factor_type="in", magnitude=2.34))
begin fit
/usr/local/lib/python2.7/dist-packages/mxnet-0.9.4-py2.7.egg/mxnet/model.py:516: DeprecationWarning: Calling initializer with init(str, NDArray) has been deprecated.please use init(mx.init.InitDesc(...), NDArray) instead.
self.initializer(k, v)
2017-02-20 13:06:16,231 Start training with [gpu(0)]
[13:06:24] src/operator/./cudnn_convolution-inl.h:55: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
2017-02-20 13:36:05,022 Epoch[0] Resetting Data Iterator
2017-02-20 13:36:05,022 Epoch[0] Time cost=1777.772
2017-02-20 13:47:20,723 Epoch[0] Validation-accuracy=0.011640
2017-02-20 14:11:57,614 Epoch[1] Resetting Data Iterator
2017-02-20 14:11:57,614 Epoch[1] Time cost=1476.891
2017-02-20 14:20:42,997 Epoch[1] Validation-accuracy=0.011640
2017-02-20 14:43:38,866 Epoch[2] Resetting Data Iterator
2017-02-20 14:43:38,867 Epoch[2] Time cost=1375.870
2017-02-20 14:52:21,879 Epoch[2] Validation-accuracy=0.011640
I use the latest mxnet and c3d-mxnet and follow the instruction to train the ucf101 dataset, but the Validation-accuracy remains the same does anyone have the same problem?
~/C3D-mxnet$ sudo python train_ucf101.py 9537 3783 [('data', (10, 3, 28, 122, 122))] [('label', (10,))] train_ucf101.py:164: DeprecationWarning: mxnet.model.FeedForward has been deprecated. Please use mxnet.mod.Module instead. initializer = mx.init.Xavier(factor_type="in", magnitude=2.34)) begin fit /usr/local/lib/python2.7/dist-packages/mxnet-0.9.4-py2.7.egg/mxnet/model.py:516: DeprecationWarning: Calling initializer with init(str, NDArray) has been deprecated.please use init(mx.init.InitDesc(...), NDArray) instead. self.initializer(k, v) 2017-02-20 13:06:16,231 Start training with [gpu(0)] [13:06:24] src/operator/./cudnn_convolution-inl.h:55: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable) 2017-02-20 13:36:05,022 Epoch[0] Resetting Data Iterator 2017-02-20 13:36:05,022 Epoch[0] Time cost=1777.772 2017-02-20 13:47:20,723 Epoch[0] Validation-accuracy=0.011640 2017-02-20 14:11:57,614 Epoch[1] Resetting Data Iterator 2017-02-20 14:11:57,614 Epoch[1] Time cost=1476.891 2017-02-20 14:20:42,997 Epoch[1] Validation-accuracy=0.011640 2017-02-20 14:43:38,866 Epoch[2] Resetting Data Iterator 2017-02-20 14:43:38,867 Epoch[2] Time cost=1375.870 2017-02-20 14:52:21,879 Epoch[2] Validation-accuracy=0.011640