Error when run run_all_pipeline.py

[KervinBill]

Using Theano backend.
Traceback (most recent call last):
File "scripts/run_all_pipeline.py", line 8, in
from src.data import import_labels
ImportError: No module named src.data

[albertomontesg]

To solve this it requires to add the src folder into PYTHONPATH:
export PYTHONPATH='$PYTHONPATH:/path/to/src'

[KervinBill]

Thanks， I've solved. But when I try again, I got this:
Using Theano backend.
Reading Video...
Traceback (most recent call last):
File "scripts/run_all_pipeline.py", line 188, in
args.activity_threshold
File "scripts/run_all_pipeline.py", line 22, in run_all_pipeline
video_array = video_to_array(input_video, resize=input_size)
File "/path/toactivitynet-2016-cvprw-master/venv/local/lib/python2.7/site-packages/src/io.py", line 38, in video_to_array
raise Exception('Could not open the video')
Exception: Could not open the video

Does it mean I have opencv install inside the virtual environment ? my machine has OPENCV install. Thank u very much.

[albertomontesg]

This means that OpenCV is not able to open the file. The usual setup is to create a virtual environment with --system-site-packages so if you have OpenCV installed on your system, it will be accessible on the virtual environment.

If you have already done this, take a look to the video where this exception is happening and maybe it can be due to incompatibility or file being damaged.

[dudtroc]

(theano3) ailab@ailab-All-Series:~/HAR/activitynet-2016-cvprw-master$ python scripts/run_all_pipeline.py -i data/activitynet/GCtrfXIBbwA.mp4
Using Theano backend.
Using gpu device 0: GeForce GTX TITAN X (CNMeM is disabled, cuDNN 5005)
Reading Video...
3.2.0 # print(cv2.version)
data/activitynet/GCtrfXIBbwA.mp4 # print(video_path)
Unable to stop the stream: Inappropriate ioctl for device
<VideoCapture 0x7fc870457f90>
Traceback (most recent call last):
File "scripts/run_all_pipeline.py", line 192, in
args.activity_threshold
File "scripts/run_all_pipeline.py", line 26, in run_all_pipeline
video_array = video_to_array(input_video, resize=input_size)
File "./src/io.py", line 42, in video_to_array
raise Exception('Could not open the video')
Exception: Could not open the video

I also tried about it but it's still not working
I'm using the actvitynet dataset and installed opencv by the conda instruction

[thomhert]

Hi,
When running run_all_pipeline.py, i got these errors:

Classification:
0.9505	Dodgeball
0.0040	Rope skipping
0.0024	Breakdancing
0.0013	Futsal
0.0011	Belly dance
Traceback (most recent call last):
  File "scripts/run_all_pipeline.py", line 188, in <module>
    args.activity_threshold
  File "scripts/run_all_pipeline.py", line 73, in run_all_pipeline
    activity_threshold
  File "/.../.../data/theano/activitynet-2016-cvprw-master/src/processing.py", line 52, in activity_localization
    scores.append(np.mean(sequence_class_prob[s:e,activity_idx]))
TypeError: slice indices must be integers or None or have an __index__ method

Something wrong for activity localization, do you know why? Thanks

[dudtroc]

I don't know exactly what is something wrong I guess that keras version is different or uninstalled numpy this is my result on my computer [image: 본문 이미지 1] I execute this program on keras102 version so if you want to install keras102 version run this instruction pip install git+git://github.com/fchollet/[email protected] 2017-02-24 19:09 GMT+09:00 thomhert <[email protected]>:

…

Hi, When running run_all_pipeline.py, i got these errors: Classification: 0.9505 Dodgeball 0.0040 Rope skipping 0.0024 Breakdancing 0.0013 Futsal 0.0011 Belly dance Traceback (most recent call last): File "scripts/run_all_pipeline.py", line 188, in <module> args.activity_threshold File "scripts/run_all_pipeline.py", line 73, in run_all_pipeline activity_threshold File "/.../.../data/theano/activitynet-2016-cvprw-master/src/processing.py", line 52, in activity_localization scores.append(np.mean(sequence_class_prob[s:e,activity_idx])) TypeError: slice indices must be integers or None or have an __index__ method Something wrong for activity localization, do you know why? Thanks — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#5 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AYW6W2Nw50efUf1yybQP3FOyHgjRZ2_Cks5rfqxggaJpZM4LV_nU> .

[yclai1114]

Classification:
0.7912 Cleaning sink
0.0615 Knitting
0.0291 Washing dishes
0.0160 Washing hands
0.0120 Peeling potatoes
Traceback (most recent call last):
File "scripts/run_all_pipeline.py", line 188, in
args.activity_threshold
File "scripts/run_all_pipeline.py", line 73, in run_all_pipeline
activity_threshold
File "/home/ubuntu/Desktop/yc/activitynet-2016-cvprw-master/scripts/src/processing.py", line 52, in activity_localization
scores.append(np.mean(sequence_class_prob[s:e,activity_idx]))
TypeError: slice indices must be integers or None or have an index method

Same problem after run run_all_pipeline.py. Any solution please?

[albertomontesg]

Which version of Numpy are you using? I have checked and with version 1.11.2 should work. If not try to print the values of s, e and activity_idx to console and put here the output please.

[Amysiat]

@albertomontesg hello, I have a question to ask you. I want to use your model to train my own dataset, so i need to get the dataset/video.json . what should i do to get the video.json or dataset? I am looking forward your reply,thank you!

[kousik97]

I get the following error while trying to execute run_all_pipeline.py:

Traceback (most recent call last):
File "scripts/run_all_pipeline.py", line 4, in
from keras.layers import (LSTM, BatchNormalization, Convolution3D, Dense, Dropout, Flatten, Input,
File "/home2/koushik/venv/local/lib/python2.7/site-packages/keras/init.py", line 3, in
from . import backend
File "/home2/koushik/venv/local/lib/python2.7/site-packages/keras/backend/init.py", line 54, in
from .tensorflow_backend import *
File "/home2/koushik/venv/local/lib/python2.7/site-packages/keras/backend/tensorflow_backend.py", line 1, in
import tensorflow as tf
File "/usr/local/lib/python2.7/dist-packages/tensorflow/init.py", line 24, in
from tensorflow.python import *
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/init.py", line 75, in
from tensorflow.core.framework.graph_pb2 import *
File "/usr/local/lib/python2.7/dist-packages/tensorflow/core/framework/graph_pb2.py", line 6, in
from google.protobuf import descriptor as _descriptor
File "/usr/local/lib/python2.7/dist-packages/google/protobuf/init.py", line 37, in
import('pkg_resources').declare_namespace(name)
File "/home2/koushik/venv/local/lib/python2.7/site-packages/pkg_resources.py", line 22, in
import zipfile
File "/usr/lib/python2.7/zipfile.py", line 501, in
class ZipExtFile(io.BufferedIOBase):
AttributeError: 'module' object has no attribute 'BufferedIOBase'

[kousik97]

I have solved the previous error, but now I am getting a new error:
Please help me.
Using TensorFlow backend.
Reading Video...
Duration: 130.6s
FPS: 30.0
Number of frames: 3919
Loading C3D network...
Traceback (most recent call last):
File "scripts/run_all_pipeline.py", line 188, in
args.activity_threshold
File "scripts/run_all_pipeline.py", line 40, in run_all_pipeline
model = C3D_conv_features(True)
File "scripts/run_all_pipeline.py", line 99, in C3D_conv_features
trainable=False))
File "/usr/local/lib/python2.7/dist-packages/keras/layers/convolutional.py", line 448, in init
' is currently only working with Theano backend.')
Exception: Convolution3D is currently only working with Theano backend.

[Amysiat]

I think you should Change your backend,the default backend is tensorflow.

…

------------------ 原始邮件 ------------------ 发件人: "kousik97";<[email protected]>; 发送时间: 2017年5月31日(星期三) 下午2:08 收件人: "imatge-upc/activitynet-2016-cvprw"<[email protected]>; 抄送: "0℃的温度"<[email protected]>; "Comment"<[email protected]>; 主题: Re: [imatge-upc/activitynet-2016-cvprw] Error when runrun_all_pipeline.py (#5) I have solved the previous error, but now I am getting a new error: Please help me. Using TensorFlow backend. Reading Video... Duration: 130.6s FPS: 30.0 Number of frames: 3919 Loading C3D network... Traceback (most recent call last): File "scripts/run_all_pipeline.py", line 188, in args.activity_threshold File "scripts/run_all_pipeline.py", line 40, in run_all_pipeline model = C3D_conv_features(True) File "scripts/run_all_pipeline.py", line 99, in C3D_conv_features trainable=False)) File "/usr/local/lib/python2.7/dist-packages/keras/layers/convolutional.py", line 448, in init ' is currently only working with Theano backend.') Exception: Convolution3D is currently only working with Theano backend. — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or mute the thread.

[kousik97]

Thank you so much.
I have changed that and it is working but I am getting the following error now:
I am trying to run it on a CPU.
Please help.

Using Theano backend.
Reading Video...
Duration: 130.6s
FPS: 30.0
Number of frames: 3919
Loading C3D network...
Traceback (most recent call last):
File "scripts/run_all_pipeline.py", line 188, in
args.activity_threshold
File "scripts/run_all_pipeline.py", line 40, in run_all_pipeline
model = C3D_conv_features(True)
File "scripts/run_all_pipeline.py", line 99, in C3D_conv_features
trainable=False))
File "/usr/local/lib/python2.7/dist-packages/keras/models.py", line 114, in add
layer.create_input_layer(batch_input_shape, input_dtype)
File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 341, in create_input_layer
self(x)
File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 485, in call
self.add_inbound_node(inbound_layers, node_indices, tensor_indices)
File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 543, in add_inbound_node
Node.create_node(self, inbound_layers, node_indices, tensor_indices)
File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 148, in create_node
output_tensors = to_list(outbound_layer.call(input_tensors[0], mask=input_masks[0]))
File "/usr/local/lib/python2.7/dist-packages/keras/layers/convolutional.py", line 552, in call
filter_shape=self.W_shape)
File "/usr/local/lib/python2.7/dist-packages/keras/backend/theano_backend.py", line 919, in conv3d
conv_out = dnn.dnn_conv3d(x, kernel, border_mode=border_mode)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/dnn.py", line 1257, in dnn_conv3d
return GpuDnnConv3d(algo=algo)(img, kerns, out, desc)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/dnn.py", line 513, in init
super(GpuDnnConv3d, self).init(inplace=inplace, algo=algo)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/dnn.py", line 328, in init
if version() < (3000, 3000):
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/init.py", line 407, in dnn_version
dnn_available.msg)
Exception: ("We can't determine the cudnn version as it is not available", 'CUDA not available')

[amit309b]

I am getting error can anyone please solve this :
Using Theano backend.
Traceback (most recent call last):
File "scripts/run_all_pipeline.py", line 4, in
from keras.layers import (LSTM, BatchNormalization, Convolution3D, Dense, Dropout, Flatten, Input,
File "/usr/local/lib/python2.7/dist-packages/keras/init.py", line 3, in
from . import activations
File "/usr/local/lib/python2.7/dist-packages/keras/activations.py", line 4, in
from . import backend as K
File "/usr/local/lib/python2.7/dist-packages/keras/backend/init.py", line 70, in
from .theano_backend import *
File "/usr/local/lib/python2.7/dist-packages/keras/backend/theano_backend.py", line 3, in
import theano
File "/home/inkers/.local/lib/python2.7/site-packages/theano/init.py", line 70, in
from theano.compile import (
File "/home/inkers/.local/lib/python2.7/site-packages/theano/compile/init.py", line 10, in
from theano.compile.function_module import *
File "/home/inkers/.local/lib/python2.7/site-packages/theano/compile/function_module.py", line 21, in
import theano.compile.mode
File "/home/inkers/.local/lib/python2.7/site-packages/theano/compile/mode.py", line 10, in
import theano.gof.vm
File "/home/inkers/.local/lib/python2.7/site-packages/theano/gof/vm.py", line 659, in
from . import lazylinker_c
File "/home/inkers/.local/lib/python2.7/site-packages/theano/gof/lazylinker_c.py", line 125, in
args = cmodule.GCC_compiler.compile_args()
File "/home/inkers/.local/lib/python2.7/site-packages/theano/gof/cmodule.py", line 2088, in compile_args
default_compilation_result, default_execution_result = try_march_flag(GCC_compiler.march_flags)
File "/home/inkers/.local/lib/python2.7/site-packages/theano/gof/cmodule.py", line 1856, in try_march_flag
flags=cflags, try_run=True)
File "/home/inkers/.local/lib/python2.7/site-packages/theano/gof/cmodule.py", line 2188, in try_compile_tmp
comp_args)
File "/home/inkers/.local/lib/python2.7/site-packages/theano/gof/cmodule.py", line 1756, in _try_compile_tmp
fd, path = tempfile.mkstemp(suffix='.c', prefix=tmp_prefix)
File "/usr/lib/python2.7/tempfile.py", line 307, in mkstemp
dir = gettempdir()
File "/usr/lib/python2.7/tempfile.py", line 275, in gettempdir
tempdir = _get_default_tempdir()
File "/usr/lib/python2.7/tempfile.py", line 200, in _get_default_tempdir
with _io.open(fd, 'wb', closefd=False) as fp:
AttributeError: 'module' object has no attribute 'open'

[amit309b]

hey @kousik97 how did u solve this error
File "/usr/lib/python2.7/zipfile.py", line 501, in
class ZipExtFile(io.BufferedIOBase):
AttributeError: 'module' object has no attribute 'BufferedIOBase'

[kousik97]

Yeah, I solved it. The problem is the io.py in src directory. Rename the io.py to io1.py and correspondingly change the places in which io is used. That worked for me.
The problem is zipfile is executing the io package in the python library and not the local io.py in our directory.

Meanwhile, are you using GPU to run the demo?

[ghost]

I am getting this error, please help or suggest something
Using Theano backend.
Reading Video...
Duration: 22.2s
FPS: 25.0
Number of frames: 555
Loading C3D network...
scripts/run_all_pipeline.py:106: UserWarning: Update your Conv3D call to the Keras 2 API: Conv3D(64, (3, 3, 3), name="conv1", activation="relu", trainable=False, input_shape=(3, 16, 11..., padding="same", strides=(1, 1, 1))
trainable=False))
Traceback (most recent call last):
File "scripts/run_all_pipeline.py", line 284, in
args.activity_threshold)
File "scripts/run_all_pipeline.py", line 40, in run_all_pipeline
model = C3D_conv_features(True)
File "scripts/run_all_pipeline.py", line 106, in C3D_conv_features
trainable=False))
File "/home/asif/.virtualenvs/keras/local/lib/python2.7/site-packages/keras/models.py", line 443, in add
layer(x)
File "/home/asif/.virtualenvs/keras/local/lib/python2.7/site-packages/keras/engine/topology.py", line 596, in call
output = self.call(inputs, **kwargs)
File "/home/asif/.virtualenvs/keras/local/lib/python2.7/site-packages/keras/layers/convolutional.py", line 172, in call
dilation_rate=self.dilation_rate)
File "/home/asif/.virtualenvs/keras/local/lib/python2.7/site-packages/keras/backend/theano_backend.py", line 1944, in conv3d
conv_out = T.nnet.conv3d(x, kernel,
AttributeError: 'module' object has no attribute 'conv3d'

[amit309b]

@mdasifjalal
it seems that you written code in tensorflow as shown T and used theano as backened.
conv_out = T.nnet.conv3d(x, kernel,

[ghost]

nope, that is not the problem. I think, it was a version mismatch .

[kartikeyaSh]

Duration: 6.6s
FPS: 25.0
Number of frames: 164
Loading C3D network...
Extracting features...
10/10 [==============================] - 4s
Loading temporal localization network...

---

Layer (type) Output Shape Param # Connected to

features (InputLayer) (1, 1, 4096) 0

---

normalization (BatchNormalization) (1, 1, 4096) 8192 features[0][0]

---

dropout_1 (Dropout) (1, 1, 4096) 0 normalization[0][0]

---

lsmt1 (LSTM) (1, 1, 512) 9439232 dropout_1[0][0]

---

dropout_2 (Dropout) (1, 1, 512) 0 lsmt1[0][0]

---

fc (TimeDistributed) (1, 1, 201) 103113 dropout_2[0][0]

Total params: 9550537

---

Predicting...
Traceback (most recent call last):
File "scripts/run_all_pipeline.py", line 287, in
args.activity_threshold)
File "scripts/run_all_pipeline.py", line 58, in run_all_pipeline
Y = Y.reshape(nb_clips, 1, 4096)
ValueError: cannot reshape array of size 32112640 into shape (10,1,4096)

any guesses why i get this error and how can i correct it?

[wasim-ee37]

Predicting...
Traceback (most recent call last):
File "scripts/run_all_pipeline.py", line 291, in
args.activity_threshold)
File "scripts/run_all_pipeline.py", line 64, in run_all_pipeline
Y = Y.reshape(nb_clips, 1, 4096)
ValueError: cannot reshape array of size 9253 into shape (19,1,4096)

Why am I encountering this error? Please somebody help me out in this.

[EMCL]

hi,
i am getting below error when running
python scripts/run_all_pipeline.py -i test2.avi

Exception: ('The following error happened while compiling the node', GpuDnnConv3d{algo='small', inplace=False}(GpuContiguous.0, GpuContiguous.0, GpuAllocEmpty.0, GpuDnnConvDesc{border_mode=(1, 1, 1), subsample=(1, 1, 1), conv_mode='conv', precision='float32'}.0, Constant{1.0}, Constant{0.0}), '\n', 'nvcc return status', 2, 'for cmd', 'nvcc -shared -O3 -Xlinker -rpath,/usr/local/cuda-8.0/lib64 -arch=sm_35 -m64 -Xcompiler -fno-math-errno,-Wno-unused-label,-Wno-unused-variable,-Wno-write-strings,-DCUDA_NDARRAY_CUH=c72d035fdf91890f3b36710688069b2e,-DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION,-fPIC,-fvisibility=hidden -Xlinker -rpath,/home/lanka/.theano/compiledir_Linux-4.4--generic-x86_64-with-debian-stretch-sid-x86_64-2.7.13-64/cuda_ndarray -I/home/lanka/.theano/compiledir_Linux-4.4--generic-x86_64-with-debian-stretch-sid-x86_64-2.7.13-64/cuda_ndarray -I/usr/local/cuda-8.0/include -I/home/lanka/anaconda2/envs/activitynet/lib/python2.7/site-packages/theano/sandbox/cuda -I/home/lanka/anaconda2/envs/activitynet/lib/python2.7/site-packages/numpy/core/include -I/home/lanka/anaconda2/envs/activitynet/include/python2.7 -I/home/lanka/anaconda2/envs/activitynet/lib/python2.7/site-packages/theano/gof -o /home/lanka/.theano/compiledir_Linux-4.4--generic-x86_64-with-debian-stretch-sid-x86_64-2.7.13-64/tmpakYa3E/46fc805ce0bc8d50ab0e937e59958ac5.so mod.cu -L/home/lanka/.theano/compiledir_Linux-4.4--generic-x86_64-with-debian-stretch-sid-x86_64-2.7.13-64/cuda_ndarray -L/home/lanka/anaconda2/envs/activitynet/lib -lcudart -lcublas -lcuda_ndarray -lcudnn -lpython2.7', "[GpuDnnConv3d{algo='small', inplace=False}(<CudaNdarrayType(float32, 5D)>, <CudaNdarrayType(float32, 5D)>, <CudaNdarrayType(float32, 5D)>, <CDataType{cudnnConvolutionDescriptor_t}>, Constant{1.0}, Constant{0.0})]")

[MuhammadAsadJaved]

How should i use backend to Theano? i am using Ubuntu 16.4?

(venv) asad@asad-Z370P-D3:~/activitynet-2016-cvprw$ python scripts/run_all_pipeline.py -i data/vid2.mp4
Using TensorFlow backend.
Reading Video...
Duration: 5.7s
FPS: 19.9
Number of frames: 113
Loading C3D network...
Traceback (most recent call last):
File "scripts/run_all_pipeline.py", line 284, in
args.activity_threshold)
File "scripts/run_all_pipeline.py", line 40, in run_all_pipeline
model = C3D_conv_features(True)
File "scripts/run_all_pipeline.py", line 106, in C3D_conv_features
trainable=False))
File "/home/asad/venv/local/lib/python2.7/site-packages/keras/layers/convolutional.py", line 448, in init
' is currently only working with Theano backend.')
Exception: Convolution3D is currently only working with Theano backend.

[MuhammadAsadJaved]

I have solved the previous error, but now I am getting a new error:
Please help me.
Using TensorFlow backend.
Reading Video...
Duration: 130.6s
FPS: 30.0
Number of frames: 3919
Loading C3D network...
Traceback (most recent call last):
File "scripts/run_all_pipeline.py", line 188, in
args.activity_threshold
File "scripts/run_all_pipeline.py", line 40, in run_all_pipeline
model = C3D_conv_features(True)
File "scripts/run_all_pipeline.py", line 99, in C3D_conv_features
trainable=False))
File "/usr/local/lib/python2.7/dist-packages/keras/layers/convolutional.py", line 448, in init
' is currently only working with Theano backend.')
Exception: Convolution3D is currently only working with Theano backend.

@kousik97 i also have same error. can you tell me please how to change backend to theano? i am using ubuntu .

[MuhammadAsadJaved]

I think you should Change your backend,the default backend is tensorflow.
…
------------------ 原始邮件 ------------------ 发件人: "kousik97";[email protected]; 发送时间: 2017年5月31日(星期三) 下午2:08 收件人: "imatge-upc/activitynet-2016-cvprw"[email protected]; 抄送: "0℃的温度"[email protected]; "Comment"[email protected]; 主题: Re: [imatge-upc/activitynet-2016-cvprw] Error when runrun_all_pipeline.py (#5) I have solved the previous error, but now I am getting a new error: Please help me. Using TensorFlow backend. Reading Video... Duration: 130.6s FPS: 30.0 Number of frames: 3919 Loading C3D network... Traceback (most recent call last): File "scripts/run_all_pipeline.py", line 188, in args.activity_threshold File "scripts/run_all_pipeline.py", line 40, in run_all_pipeline model = C3D_conv_features(True) File "scripts/run_all_pipeline.py", line 99, in C3D_conv_features trainable=False)) File "/usr/local/lib/python2.7/dist-packages/keras/layers/convolutional.py", line 448, in init ' is currently only working with Theano backend.') Exception: Convolution3D is currently only working with Theano backend. — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or mute the thread.

Hi, Can you tell me how to change backend to theano? I am using Ubuntu.

[MuhammadAsadJaved]

I resolved the backend problem but now i am getting this error. Can anyone guide me please.

(venv) asad@asad-Z370P-D3:~/activitynet-2016-cvprw$ python scripts/run_all_pipeline.py -i data/vid2.mp4
Using Theano backend.
ERROR (theano.sandbox.cuda): nvcc compiler not found on $PATH. Check your nvcc installation and try again.
Reading Video...
Duration: 5.7s
FPS: 19.9
Number of frames: 113
Loading C3D network...
Traceback (most recent call last):
File "scripts/run_all_pipeline.py", line 287, in
args.activity_threshold)
File "scripts/run_all_pipeline.py", line 43, in run_all_pipeline
model = C3D_conv_features(True)
File "scripts/run_all_pipeline.py", line 109, in C3D_conv_features
trainable=False))
File "/home/asad/venv/local/lib/python2.7/site-packages/keras/models.py", line 114, in add
layer.create_input_layer(batch_input_shape, input_dtype)
File "/home/asad/venv/local/lib/python2.7/site-packages/keras/engine/topology.py", line 341, in create_input_layer
self(x)
File "/home/asad/venv/local/lib/python2.7/site-packages/keras/engine/topology.py", line 485, in call
self.add_inbound_node(inbound_layers, node_indices, tensor_indices)
File "/home/asad/venv/local/lib/python2.7/site-packages/keras/engine/topology.py", line 543, in add_inbound_node
Node.create_node(self, inbound_layers, node_indices, tensor_indices)
File "/home/asad/venv/local/lib/python2.7/site-packages/keras/engine/topology.py", line 148, in create_node
output_tensors = to_list(outbound_layer.call(input_tensors[0], mask=input_masks[0]))
File "/home/asad/venv/local/lib/python2.7/site-packages/keras/layers/convolutional.py", line 552, in call
filter_shape=self.W_shape)
File "/home/asad/venv/local/lib/python2.7/site-packages/keras/backend/theano_backend.py", line 919, in conv3d
conv_out = dnn.dnn_conv3d(x, kernel, border_mode=border_mode)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/sandbox/cuda/dnn.py", line 1257, in dnn_conv3d
return GpuDnnConv3d(algo=algo)(img, kerns, out, desc)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/sandbox/cuda/dnn.py", line 513, in init
super(GpuDnnConv3d, self).init(inplace=inplace, algo=algo)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/sandbox/cuda/dnn.py", line 328, in init
if version() < (3000, 3000):
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/sandbox/cuda/init.py", line 404, in dnn_version
if not dnn_available():
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/sandbox/cuda/init.py", line 340, in dnn_available
dnn_available.msg)
RuntimeError: You enabled cuDNN, but we aren't able to use it: CUDA not available

[MuhammadAsadJaved]

Hi, I have resolved other problems but now I am getting this error while running run_all_pipeline.py

(venv) asad@asad-Z370P-D3:~/activitynet-2016-cvprw$ python scripts/run_all_pipeline.py -i data/vid2.mp4
Using Theano backend.
ERROR (theano.sandbox.cuda): ERROR: Not using GPU. Initialisation of device gpu failed:
initCnmem: cnmemInit call failed! Reason=CNMEM_STATUS_OUT_OF_MEMORY. numdev=1

ERROR (theano.gof.opt): SeqOptimizer apply <theano.sandbox.cuda.dnn.NoCuDNNRaise object at 0x7f3576714610>
ERROR (theano.gof.opt): Traceback:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/gof/opt.py", line 230, in apply
sub_prof = optimizer.optimize(fgraph)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/gof/opt.py", line 89, in optimize
ret = self.apply(fgraph, *args, **kwargs)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/sandbox/cuda/dnn.py", line 2564, in apply
if not dnn_available():
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/sandbox/cuda/init.py", line 322, in dnn_available
v = dnn_version()
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/sandbox/cuda/init.py", line 412, in dnn_version
profile=False)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/compile/function.py", line 320, in function
output_keys=output_keys)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/compile/pfunc.py", line 479, in pfunc
output_keys=output_keys)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/compile/function_module.py", line 1777, in orig_function
defaults)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/compile/function_module.py", line 1641, in create
input_storage=input_storage_lists, storage_map=storage_map)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/gof/link.py", line 690, in make_thunk
storage_map=storage_map)[:3]
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/gof/vm.py", line 1003, in make_all
no_recycling))
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/sandbox/cuda/init.py", line 256, in make_thunk
compute_map, no_recycling)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/gof/op.py", line 970, in make_thunk
no_recycling)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/gof/op.py", line 879, in make_c_thunk
output_storage=node_output_storage)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/gof/cc.py", line 1200, in make_thunk
keep_lock=keep_lock)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/gof/cc.py", line 1143, in compile
keep_lock=keep_lock)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/gof/cc.py", line 1587, in cthunk_factory
key = self.cmodule_key()
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/gof/cc.py", line 1285, in cmodule_key
c_compiler=self.c_compiler(),
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/gof/cc.py", line 1364, in cmodule_key_
numpy.core.multiarray._get_ndarray_c_version())
AttributeError: ('The following error happened while compiling the node', <theano.sandbox.cuda.DnnVersion object at 0x7f3576519e10>(), '\n', "'module' object has no attribute '_get_ndarray_c_version'")

Traceback (most recent call last):
File "scripts/run_all_pipeline.py", line 5, in
from keras.layers import (LSTM, BatchNormalization, Convolution3D, Dense, Dropout, Flatten, Input,
File "/home/asad/venv/local/lib/python2.7/site-packages/keras/init.py", line 3, in
from . import backend
File "/home/asad/venv/local/lib/python2.7/site-packages/keras/backend/init.py", line 51, in
from .theano_backend import *
File "/home/asad/venv/local/lib/python2.7/site-packages/keras/backend/theano_backend.py", line 5, in
import theano
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/init.py", line 111, in
theano.sandbox.cuda.tests.test_driver.test_nvidia_driver1()
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/sandbox/cuda/tests/test_driver.py", line 31, in test_nvidia_driver1
profile=False)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/compile/function.py", line 320, in function
output_keys=output_keys)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/compile/pfunc.py", line 479, in pfunc
output_keys=output_keys)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/compile/function_module.py", line 1777, in orig_function
defaults)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/compile/function_module.py", line 1641, in create
input_storage=input_storage_lists, storage_map=storage_map)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/gof/link.py", line 690, in make_thunk
storage_map=storage_map)[:3]
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/gof/vm.py", line 1003, in make_all
no_recycling))
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/sandbox/cuda/init.py", line 256, in make_thunk
compute_map, no_recycling)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/gof/op.py", line 970, in make_thunk
no_recycling)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/gof/op.py", line 879, in make_c_thunk
output_storage=node_output_storage)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/gof/cc.py", line 1200, in make_thunk
keep_lock=keep_lock)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/gof/cc.py", line 1143, in compile
keep_lock=keep_lock)
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/gof/cc.py", line 1587, in cthunk_factory
key = self.cmodule_key()
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/gof/cc.py", line 1285, in cmodule_key
c_compiler=self.c_compiler(),
File "/home/asad/venv/local/lib/python2.7/site-packages/theano/gof/cc.py", line 1364, in cmodule_key_
numpy.core.multiarray._get_ndarray_c_version())
AttributeError: ('The following error happened while compiling the node', GpuCAReduce{add}{1}(<CudaNdarrayType(float32, vector)>), '\n', "'module' object has no attribute '_get_ndarray_c_version'")

[alexshaodong]

Using Theano backend.
Traceback (most recent call last):
File "scripts/run_all_pipeline.py", line 8, in
from src.data import import_labels
ImportError: No module named src.data

Hello! I have the same problem. Can you teach me how to solve it?