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In [26]:

    
import cPickle as pickle
import numpy as np
import os
os.environ["THEANO_FLAGS"] = "mode=FAST_RUN,device=gpu2,floatX=float32"
from PIL import Image
import json
from scipy import ndimage
import math
import random

from retrainUnariesNet import unaryNet2
import MyConfig

%load_ext autoreload
%autoreload 2









    



The autoreload extension is already loaded. To reload it, use:
  %reload_ext autoreload



In [5]:

    
unaryModel = unaryNet2()









    



Preparing room
len bbox_cam_list 7
sigma 0.133494 ,  0.092593
alpha 0.029933 ,  -0.359034
sigma 0.144286 ,  0.090475
alpha 0.001415 ,  0.361259
sigma 0.08403 ,  0.132242
alpha 0.154849 ,  0.003785
sigma 0.079964 ,  0.146991
alpha 0.378756 ,  -0.256611
sigma 0.082911 ,  0.161009
alpha -0.367645 ,  0.224522
sigma 0.094225 ,  0.132504
alpha -0.343628 ,  -0.281467
sigma 0.088076 ,  0.128434
alpha -0.115129 ,  0.001928
sigma 0.081479 ,  0.147307
alpha 0.375871 ,  0.257419
Initializing Unaries Network






    



VGG/VGGNet.py:46: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'.
  p1 = theano.tensor.signal.pool.pool_2d(c12, ds = (2,2), st = (2,2), ignore_border=True)
VGG/VGGNet.py:46: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'.
  p1 = theano.tensor.signal.pool.pool_2d(c12, ds = (2,2), st = (2,2), ignore_border=True)
VGG/VGGNet.py:50: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'.
  p2 = theano.tensor.signal.pool.pool_2d(c22, ds = (2,2), st = (2,2), ignore_border=True)
VGG/VGGNet.py:50: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'.
  p2 = theano.tensor.signal.pool.pool_2d(c22, ds = (2,2), st = (2,2), ignore_border=True)
VGG/VGGNet.py:55: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'.
  p3 = theano.tensor.signal.pool.pool_2d(c33, ds = (2,2), st = (2,2), ignore_border=True)
VGG/VGGNet.py:55: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'.
  p3 = theano.tensor.signal.pool.pool_2d(c33, ds = (2,2), st = (2,2), ignore_border=True)
VGG/VGGNet.py:60: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'.
  p4 = theano.tensor.signal.pool.pool_2d(c43, ds = (2,2), st = (2,2), ignore_border=True)
VGG/VGGNet.py:60: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'.
  p4 = theano.tensor.signal.pool.pool_2d(c43, ds = (2,2), st = (2,2), ignore_border=True)
VGG/VGGNet.py:70: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'.
  x_r = theano.tensor.signal.pool.pool_2d(xt, ds = (4,4), st = (4,4), ignore_border=True)
VGG/VGGNet.py:70: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'.
  x_r = theano.tensor.signal.pool.pool_2d(xt, ds = (4,4), st = (4,4), ignore_border=True)
VGG/VGGNet.py:71: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'.
  c11_r = theano.tensor.signal.pool.pool_2d(c11, ds = (4,4), st = (4,4), ignore_border=True)
VGG/VGGNet.py:71: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'.
  c11_r = theano.tensor.signal.pool.pool_2d(c11, ds = (4,4), st = (4,4), ignore_border=True)
VGG/VGGNet.py:72: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'.
  c12_r = theano.tensor.signal.pool.pool_2d(p1, ds = (2,2), st = (2,2), ignore_border=True)
VGG/VGGNet.py:72: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'.
  c12_r = theano.tensor.signal.pool.pool_2d(p1, ds = (2,2), st = (2,2), ignore_border=True)
VGG/VGGNet.py:74: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'.
  c21_r = theano.tensor.signal.pool.pool_2d(c21, ds = (2,2), st = (2,2), ignore_border=True)
VGG/VGGNet.py:74: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'.
  c21_r = theano.tensor.signal.pool.pool_2d(c21, ds = (2,2), st = (2,2), ignore_border=True)
UnariesNet.py:131: UserWarning: theano.function was asked to create a function computing outputs given certain inputs, but the provided input variable at index 2 is not part of the computational graph needed to compute the outputs: dropout.
To make this warning into an error, you can pass the parameter on_unused_input='raise' to theano.function. To disable it completely, use on_unused_input='ignore'.
  allow_input_downcast=True,on_unused_input='warn')



In [43]:

    
print MyConfig.unary_storedParam
params_to_load = pickle.load(open(MyConfig.unary_storedParam,'rb'))
unaryModel.setParams(params_to_load)
            
params_VGG= pickle.load(open(MyConfig.refinedVGG_storedParam,'rb'))
unaryModel.mNet.setParams(params_VGG)









    



./Unaries/trainedModels/params_Unaries_59.pickle



In [48]:

    
with open(MyConfig.test_u_boxList) as read_file:
    u_boxList = json.load(read_file)
with open(MyConfig.test_u_imgList) as read_file:
    u_imgList = json.load(read_file)

for img, boxes in zip(u_imgList, u_boxList):
    x, rois_np, labels = unaryModel.load_batch_train(img, boxes)
    print 'samples'
    unaryModel.visualize_batch(x,rois_np,labels)
    
    p_out, loss = unaryModel.test_func(x, rois_np, labels)
    p = p_out[:,0]
    print 'result'
    unaryModel.visualize_positives(x,rois_np,p)



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