def Part3():
actor = ['Alec Baldwin', 'Steve Carell']
Label = {'Alec Baldwin': -1, 'Steve Carell': 1}
add = "/testing/"
add_train = "/training/"
x, y, theta = part3.set_creation(actor, Label, add_train)
theta_p3 = part3.grad_descent(part3.f, part3.df, x, y, theta, 0.001, 20000)
part3.test(theta_p3, Label, actor, add_train)
print theta_p3.shape[0]
x, y, theta = part3.set_creation(actor, Label, add_train)
theta_p3 = part3.grad_descent(part3.f, part3.df, x, y, theta, 0.001, 20000)
part3.test(theta_p3, Label, actor, add)
#part 4
plt.imshow(theta_p3[1:].reshape((32, 32)))
plt.show()
x, y, theta = part5.set_creation_limited(actor, Label, 1)
theta_p3 = part3.grad_descent(part3.f, part3.df, x, y, theta, 0.001, 20000)
plt.imshow(theta_p3[1:].reshape((32, 32)))
plt.show()
x, y, theta = part3.set_creation(actor, Label, add)
theta_p3 = part3.grad_descent(part3.f, part3.df, x, y, theta, 0.001, 3000)
plt.imshow(theta_p3[1:].reshape((32, 32)))
plt.show()
theta_p3 = part3.grad_descent(part3.f, part3.df, x, y, theta, 0.001, 10)
plt.imshow(theta_p3[1:].reshape((32, 32)))
plt.show()
def output(partIdx):
"""Uses the student code to compute the output for test cases."""
outputString = ''
if partIdx == 0: # convolve
outputString = str(int(part0.test()))
elif partIdx == 1: # gaussian
outputString = str(int(part1.test()))
elif partIdx == 2: # sharpen
outputString = str(int(part2.test()))
elif partIdx == 3: # median
outputString = str(int(part3.test()))
elif partIdx == 4: # theta and mag
outputString = str(int(part4.test()))
return outputString
def output(partIdx):
"""Uses the student code to compute the output for test cases."""
outputString = ''
if partIdx == 0: # convolve
outputString = str(int(part0.test()))
elif partIdx == 1: # gaussian
outputString = str(int(part1.test()))
elif partIdx == 2: # sharpen
outputString = str(int(part2.test()))
elif partIdx == 3: # median
outputString = str(int(part3.test()))
elif partIdx == 4: # theta and mag
outputString = str(int(part4.test()))
return outputString
conv_func = part0.convolve
apply_filter(conv_func, box_filter(2), 'box2')
else:
print "Please test your code using part0.py prior to using this function."
print "-"*15 + "part1" + "-"*15
t1 = part1.test()
print "Unit test: {}".format(t1)
if t1:
apply_filter(conv_func, part1.make_gaussian(5,3), 'gaussian5_3')
else:
print "Please test your code using part1.py prior to using this function."
print "-"*15 + "part2" + "-"*15
t2 = part2.test()
print "Unit test: {}".format(t2)
if t2:
apply_filter(conv_func, part2.make_sharp(5,3), 'sharp5_3')
else:
print "Please test your code using part2.py prior to using this function."
print "-"*15 + "part3" + "-"*15
t3 = part3.test()
print "Unit test: {}".format(t3)
if t3:
apply_median(5)
else:
print "Please test your code using part3.py prior to using this function."
conv_func = signal.convolve2d
if t0:
conv_func = part0.convolve
apply_filter(conv_func, box_filter(2), 'box2')
else:
print "Please test your code using part0.py prior to using this function."
print "-" * 15 + "part1" + "-" * 15
t1 = part1.test()
print "Unit test: {}".format(t1)
if t1:
apply_filter(conv_func, part1.make_gaussian(5, 3), 'gaussian5_3')
else:
print "Please test your code using part1.py prior to using this function."
print "-" * 15 + "part2" + "-" * 15
t2 = part2.test()
print "Unit test: {}".format(t2)
if t2:
apply_filter(conv_func, part2.make_sharp(5, 3), 'sharp5_3')
else:
print "Please test your code using part2.py prior to using this function."
print "-" * 15 + "part3" + "-" * 15
t3 = part3.test()
print "Unit test: {}".format(t3)
if t3:
apply_median(5)
else:
print "Please test your code using part3.py prior to using this function."