c++ script for calculating top-5 error from Imagenet

[Ihsan Ullah]

Hi all,

Can any body share code in c++ for calculating top-5 error from imagenet test output. 

Regards

Ihsan

[林子達]

I have python script  for calculating top-5 error from imagenet test output. Is it ok to you?

[Ihsan Ullah]

Hi, Can you kindly send it. I hope it will works. although i didnt used python. But i will try. 

Regards

[林子達]

Hi 

  You can refer to it. Put the python file to  $caffe/examples 

https://gist.github.com/tzutalin/15c78fa10683a414cee4

Specify mode , weight, mean file, and 

MODEL_FILE = '../../models/darren_caffenet_objects11/deploy.prototxt' 

PRETRAINED = '../../models/darren_caffenet_objects11/darren11_caffenet_iter_100000.caffemodel' meanFile=np.load(caffe_root + 'python/caffe/imagenet/ilsvrc_2012_mean.npy').mean(1).mean(1)

Create a test.txt, and its format is like bellow:

carFilePath1 0

carFilePath2 0

...

dogFilePath 1

dogFilePath 2

...

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Regards, 

[Ihsan Ullah]

Thank you for your reply. 

I did all the steps you mentioned. I also make pycaffe. but as i didn't worked with python, 

Now i am confused what to do. How to calculate execute it from the linux terminal. 

Can you kindly guide me. I did the following but it gave me following error

ihs@acluster:/scr/ihsa/caffe/examples$ python test_caffe_accuracy.py

Traceback (most recent call last):

  File "test_caffe_accuracy.py", line 17, in <module>

    import caffe

ImportError: No module named caffe

Regards

[Ihsan Ullah]

I added even python caffe path. (as given below) but still it is giving me same error. 

:/scr/ihsa/caffe/examples$ PYTHONPATH=/caffe/python/

ihs@acluster::/scr/ihsa/caffe/examples$ export PATH=$PYTHONPATH:$PATH

ihs@acluster::/scr/ihsa/caffe/examples$ echo $PYTHONPATH

/caffe/python/

ihs@acluster::/scr/ihsa/caffe/examples$ python test_caffe_accuracy.py

Traceback (most recent call last):

  File "test_caffe_accuracy.py", line 17, in <module>

    import caffe

ImportError: No module named caffe

On Sunday, September 6, 2015 at 3:01:52 PM UTC+2, 林子達 wrote: