ers.append(errpr)
times.append(time.time() - st)
tf.reset_default_graph()
print('***************')
from Detemine_error import compute_error_metric
sorted_errors = sorted(ers)
a = sorted_errors[0:3]
errors = list(ers)
ers = []
keys = []
for i in a:
ers.append(i)
keys.append(errors.index(i))
true_keys = []
for i in keys:
if i < test_loc - 1:
true_keys.append(i + 1)
else:
true_keys.append(i + 2)
print('3 best candidate locations:')
print(true_keys)
print('\n')
er = compute_error_metric(true_keys[0], true_keys[1], param, ers[0], ers[1])
print('Error is ' + str(er) + ' meters !')
print('Took : ' + str(np.sum(times)))
times.append(time.time() - st)
tf.reset_default_graph()
print('***************')
from Detemine_error import compute_error_metric
sorted_errors = sorted(ers)
a = sorted_errors[0:3]
errors = list(ers)
ers = []
keys = []
for i in a:
ers.append(i)
keys.append(errors.index(i))
true_keys = []
for i in keys:
if i < test_loc - 1:
true_keys.append(i + 1)
else:
true_keys.append(i + 2)
print('3 best candidate locations:')
print(true_keys)
print('\n')
er = compute_error_metric(true_keys[0], true_keys[1], true_keys[2], test_loc,
ers[0], ers[1], ers[2])
print('Error is ' + str(er) + ' meters !')
print('Took : ' + str(np.sum(times)))