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test_camera.py
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test_camera.py
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#!/usr/bin/env python
# encoding: utf-8
"""
Author(s): Matthew Loper
See LICENCE.txt for licensing and contact information.
"""
import unittest
import numpy as np
from camera import *
import chumpy as ch
class TestCamera(unittest.TestCase):
def get_cam_params(self):
v_raw = np.sin(np.arange(900)).reshape((-1,3))
v_raw[:, 2] -= 2
rt = ch.zeros(3)
t = ch.zeros(3)
f = ch.array([500,500])
c = ch.array([320,240])
k = ch.zeros(5)
cam_params = {'v': ch.Ch(v_raw), 'rt': rt, 't': t, 'f': f, 'c': c, 'k': k}
return cam_params
def test_project_points(self):
self.project_points(ProjectPoints)
self.project_points(ProjectPoints3D)
def project_points(self, cls):
cam_params = self.get_cam_params()
for key, value in list(cam_params.items()):
eps = (np.random.random(value.r.size)-.5) * 1e-5
pp_dist = cls(**cam_params)
old_val = pp_dist.r.copy()
old_dr = pp_dist.dr_wrt(value).dot(eps)
tmp = cam_params[key].r.copy()
tmp += eps.reshape(tmp.shape)
cam_params[key] = ch.Ch(tmp)
diff = ((cls(**cam_params).r - old_val))
raw_dr_diff = np.abs(old_dr.flatten() - diff.flatten())
med_diff = np.median(raw_dr_diff)
max_diff = np.max(raw_dr_diff)
#pct_diff = (100. * max_diff / np.mean(np.abs(old_val.flatten())))
# print 'testing for %s' % (key,)
# print 'empirical' + str(diff.flatten()[:5])
# print 'predicted' + str(old_dr[:5])
# print 'med diff: %.2e' % (med_diff,)
# print 'max diff: %.2e' % (max_diff,)
#print 'pct diff: %.2e%%' % (pct_diff,)
self.assertLess(med_diff, 1e-8)
self.assertLess(max_diff, 5e-8)
pp_dist = cls(**cam_params)
# Test to make sure that depends_on is working
for name in ('rt', 't', 'f', 'c', 'k'):
aa = pp_dist.camera_mtx
setattr(pp_dist, name, getattr(pp_dist, name).r + 1)
bb = pp_dist.camera_mtx
if name in ('f', 'c'):
self.assertTrue(aa is not bb)
else:
self.assertTrue(aa is bb)
if __name__ == '__main__':
unittest.main()