def create_paired_data_set_with_fonts(X,y,num):
import crop
Xfont=crop.get_fonts()
if (num> X.shape[0]):
num=X.shape[0]
print(num)
ii=range(X.shape[0])
np.random.shuffle(ii)
ii1=ii[0:num]
Xtr=np.repeat(X[ii1,],10,axis=0)
yy=np.repeat(y[ii1],10)
yyy=np.tile(range(10),num)
Xtr_comp=Xfont[yyy,]
ytr=(yy==yyy)
ylab=y[ii1]
Xtr_comp=np.expand_dims(Xtr_comp,axis=1)
return np.float32(Xtr), np.float32(Xtr_comp), np.float32(ytr), np.int32(ylab)
def make_seqs(slength=2, num_seqs=20, from_font=False):
#def make_seqs(slength=4):
imheight=48
imwidth=48
print("Loading data...")
X_train, y_train, X_val, y_val, X_test, y_test = mnist.load_dataset()
if (from_font):
Xfont=crop.get_fonts()
begin=0
incr=30
lrange=3
lrange2=lrange*2+1
labels=np.floor(np.random.rand(num_seqs,slength,2)*10)
TEST1=[]
TEST1a=[]
TEST2=[]
for s in range(num_seqs):
begin1=begin1a=begin2=np.int32(0)
ii1=labels[s,:,0]
ii2=labels[s,:,1]
test1=np.zeros((imheight,imwidth*slength))
test1a=np.zeros((imheight,imwidth*slength))
test2=np.zeros((imheight,imwidth*slength))
if (np.max(np.abs(ii1-ii2))>0):
for k in range(slength):
jj1=np.where(y_val==ii1[k])[0]
jj2=np.where(y_val==ii2[k])[0]
r1s=np.int32(np.floor(np.random.rand(2)*np.double(len(jj1))))
r2=np.int32(np.floor(np.random.rand()*np.double(len(jj2))))
sample1=scipy.misc.imresize(np.squeeze(X_val[jj1[r1s[0]],]),(imheight,imwidth))
if (not from_font):
sample1a=np.squeeze(X_val[jj1[r1s[1]],])
else:
sample1a=Xfont[np.int32(ii1[k]),]
sample2=np.squeeze(X_val[jj2[r2],])
sample1a=scipy.misc.imresize(sample1a,(imheight,imwidth))
sample2=scipy.misc.imresize(sample2,(imheight,imwidth))
test1[:,begin1:begin1+sample1.shape[1]]=np.maximum(sample1,test1[:,begin1:begin1+sample1.shape[1]])
test1a[:,begin1a:begin1a+sample1.shape[1]]=np.maximum(sample1a,test1a[:,begin1a:begin1a+sample1.shape[1]])
test2[:,begin2:begin2+sample1.shape[1]]=np.maximum(sample2,test2[:,begin2:begin2+sample1.shape[1]])
begin1+=np.int32(np.floor(np.random.rand()*lrange2)-lrange+incr)
begin1a+=np.int32(np.floor(np.random.rand()*lrange2)-lrange+incr)
begin2+=np.int32(np.floor(np.random.rand()*lrange2)-lrange+incr)
TEST1.append(test1)
TEST1a.append(test1a)
TEST2.append(test2)
import pylab as py
ii=range(num_seqs)
np.random.shuffle(ii)
for i in range(5):
py.figure(num=1,figsize=(12,2),dpi=80)
py.subplot(131)
py.imshow(TEST1[ii[i]],aspect='equal')
py.axis('off')
py.subplot(132)
py.imshow(TEST1a[ii[i]],aspect='equal')
py.axis('off')
py.subplot(133)
py.imshow(TEST2[ii[i]],aspect='equal')
py.axis('off')
py.show()
TEST1=np.float32(np.expand_dims(np.array(TEST1),1))
TEST1a=np.float32(np.expand_dims(np.array(TEST1a),1))
TEST2=np.float32(np.expand_dims(np.array(TEST2),1))
return TEST1,TEST1a, TEST2
