diff --git a/navipy/comparing/test.py b/navipy/comparing/test.py
index 660cb0f7a07d7be6f8284096a7f1254d1d595e70..b7ac159edc44b7a7f82c6d10d82a70e9d64b3f35 100644
--- a/navipy/comparing/test.py
+++ b/navipy/comparing/test.py
@@ -14,8 +14,8 @@ class TestCase(unittest.TestCase):
self.mydb = database.DataBaseLoad(self.mydb_filename)
def test_imagediff_curr(self):
- curr = pcode.scene(self.mydb, rowid=1)
- mem = pcode.scene(self.mydb, rowid=2)
+ curr = self.mydb.scene(rowid=1)
+ mem = self.mydb.scene(rowid=2)
curr2 = curr.copy()
curr2[3, 5, 2, 0] = np.nan
curr3 = [[1, 2, 3], [1, 2, 3], [1, 2, 3]]
@@ -40,8 +40,8 @@ class TestCase(unittest.TestCase):
self.assertTrue(is_numeric_array(diff))
def test_imagediff_memory(self):
- curr = pcode.scene(self.mydb, rowid=1)
- mem = pcode.scene(self.mydb, rowid=2)
+ curr = self.mydb.scene(rowid=1)
+ mem = self.mydb.scene(rowid=2)
mem2 = curr.copy()
mem2[3, 5, 2, 0] = np.nan
mem3 = [[1, 2, 3], [1, 2, 3], [1, 2, 3]]
@@ -65,8 +65,8 @@ class TestCase(unittest.TestCase):
self.assertTrue(is_numeric_array(diff))
def test_rot_imagediff_curr(self):
- curr = pcode.scene(self.mydb, rowid=1)
- mem = pcode.scene(self.mydb, rowid=2)
+ curr = self.mydb.scene(rowid=1)
+ mem = self.mydb.scene(rowid=2)
curr2 = curr.copy()
curr2[3, 5, 2, 0] = np.nan
curr3 = [[1, 2, 3], [1, 2, 3], [1, 2, 3]]
@@ -90,8 +90,8 @@ class TestCase(unittest.TestCase):
self.assertTrue(is_numeric_array(diff))
def test_rotimagediff_memory(self):
- curr = pcode.scene(self.mydb, rowid=1)
- mem = pcode.scene(self.mydb, rowid=2)
+ curr = self.mydb.scene(rowid=1)
+ mem = self.mydb.scene(rowid=2)
mem2 = curr.copy()
mem2[3, 5, 2, 0] = np.nan
mem3 = [[1, 2, 3], [1, 2, 3], [1, 2, 3]]
@@ -115,8 +115,8 @@ class TestCase(unittest.TestCase):
self.assertTrue(is_numeric_array(diff))
def test_simple_imagediff_curr(self):
- curr = pcode.scene(self.mydb, rowid=1)
- mem = pcode.scene(self.mydb, rowid=2)
+ curr = self.mydb.scene(rowid=1)
+ mem = self.mydb.scene(rowid=2)
curr2 = curr.copy()
curr2[3, 5, 2, 0] = np.nan
curr3 = [[1, 2, 3], [1, 2, 3], [1, 2, 3]]
@@ -142,8 +142,8 @@ class TestCase(unittest.TestCase):
self.assertTrue(diff.shape[3] == 1)
def test_simple_imagediff_mem(self):
- curr = pcode.scene(self.mydb, rowid=1)
- mem = pcode.scene(self.mydb, rowid=2)
+ curr = self.mydb.scene(rowid=1)
+ mem = self.mydb.scene(rowid=2)
mem2 = curr.copy()
mem2[3, 5, 2, 0] = np.nan
mem3 = [[1, 2, 3], [1, 2, 3], [1, 2, 3]]
@@ -169,8 +169,8 @@ class TestCase(unittest.TestCase):
self.assertTrue(diff.shape[3] == 1)
def test_diff_optic_flow_memory(self):
- curr = pcode.scene(self.mydb, rowid=1)
- mem = pcode.scene(self.mydb, rowid=2)
+ curr = self.mydb.scene(rowid=1)
+ mem = self.mydb.scene(rowid=2)
mem2 = curr.copy()
mem2[3, 5, 2, 0] = np.nan
mem3 = [[1, 2, 3], [1, 2, 3], [1, 2, 3]]
@@ -193,8 +193,8 @@ class TestCase(unittest.TestCase):
self.assertTrue(is_numeric_array(vec))
def test_diff_optic_flow_curr(self):
- curr = pcode.scene(self.mydb, rowid=1)
- mem = pcode.scene(self.mydb, rowid=2)
+ curr = self.mydb.scene(rowid=1)
+ mem = self.mydb.scene(rowid=2)
curr2 = curr.copy()
curr2[3, 5, 2, 0] = np.nan
curr3 = [[1, 2, 3], [1, 2, 3], [1, 2, 3]]
diff --git a/navipy/database/__init__.py b/navipy/database/__init__.py
index ac02d211d334f4698852cf97a69ebe0d72200fe7..814069643f410a072f5c0a98f0de6ccd7f41a4b8 100644
--- a/navipy/database/__init__.py
+++ b/navipy/database/__init__.py
@@ -210,7 +210,7 @@ It creates three sql table on initialisation.
valid = valid and bool(self.db_cursor.fetchone()[0])
return valid
- def get_posid(self, posorient):
+ def posid(self, posorient):
assert isinstance(posorient, pd.Series),\
'posorient should be a pandas Series'
where = """x>=? and x<=?"""
@@ -318,7 +318,7 @@ database
assert (posorient is None) or (rowid is None),\
'posorient and rowid can not be both None'
if posorient is not None:
- rowid = self.get_posid(posorient)
+ rowid = self.posid(posorient)
# Read images
tablename = 'position_orientation'
toreturn = pd.read_sql_query(
@@ -333,20 +333,55 @@ database
toreturn = toreturn.astype(float)
return toreturn
- def read_image(self, posorient=None, rowid=None):
- """Read an image at a given position-orientation or given id of row in the \
- database.
+ def scene(self, posorient=None, rowid=None):
+ """ Return a scene at a position orientation or given rowid \
+ in a given database.
- :param posorient: a pandas Series with index \
- ['x','y','z','alpha_0','alpha_1','alpha_2']
- :param rowid: an integer
- :returns: an image
- :rtype: numpy.ndarray
+ :param database: a DataBaseLoad class \
+ :param posorient: a pandas Series with index: \
+ ['x','y','z','alpha_0,'alpha_1,'alpha_2'] (default None, i.e. not used)
+ :param rowid: a row identification integer for directly reading \
+ in the database (default None, i.e. not used).
+ :returns: a scene [elevation, azimuth, channel, 1] or \
+ [ommatidia,channel,1].
+ :rtype: np.ndarray
+
+ .. literalinclude:: example/database/scene.py
+ :lines: 14-15
+
+ .. plot:: example/database/scene.py
"""
- assert (posorient is None) or (rowid is None),\
- 'posorient and rowid can not be both None'
+ if (posorient is None) and (rowid is None):
+ raise ValueError('posorient and rowid can not be both None')
if posorient is not None:
- rowid = self.get_posid(posorient)
+ if not isinstance(posorient, pd.Series):
+ raise TypeError('posorient should be a pandas Series')
+ if posorient.empty:
+ raise Exception('position must not be empty')
+ if 'x' not in posorient.index:
+ raise ValueError('missing index x')
+ if 'y' not in posorient.index:
+ raise ValueError('missing index y')
+ if 'z' not in posorient.index:
+ raise ValueError('missing index z')
+ if 'alpha_0' not in posorient.index:
+ raise ValueError('missing index alpha_0')
+ if 'alpha_1' not in posorient.index:
+ raise ValueError('missing index alpha_1')
+ if 'alpha_2' not in posorient.index:
+ raise ValueError('missing index alpha_2')
+ if not ~np.any(pd.isnull(posorient)):
+ raise ValueError('posorient must not contain nan')
+ rowid = self.posid(posorient)
+
+ if rowid is not None:
+ if not isinstance(rowid, int):
+ raise TypeError('rowid must be of type integer')
+ if rowid <= 0:
+ raise ValueError('rowid must be greater zero')
+ if rowid is np.nan:
+ raise ValueError('rowid must not be nan')
+
# Read images
tablename = 'image'
self.db_cursor.execute(
@@ -370,7 +405,9 @@ database
cmaxminrange.name = cmaxminrange.id
cmaxminrange.drop('id')
cmaxminrange = cmaxminrange.astype(float)
- return self.denormalise_image(image, cmaxminrange)
+ scene = self.denormalise_image(image, cmaxminrange)
+ scene = scene[..., np.newaxis]
+ return scene
def denormalise_image(self, image, cmaxminrange):
assert len(image.shape) == 3,\
@@ -416,7 +453,7 @@ class DataBaseSave(DataBase):
def write_image(self, posorient, image):
normed_im, cmaxminrange = self.normalise_image(image, self.arr_dtype)
- rowid = self.get_posid(posorient)
+ rowid = self.posid(posorient)
# Write image
tablename = 'image'
params = dict()
diff --git a/navipy/moving/agent.py b/navipy/moving/agent.py
index f9d429a9a45761dec7195e0630c7651fd406343c..d34306b4f362676dcda263db84fa6b4e0f5b4426 100644
--- a/navipy/moving/agent.py
+++ b/navipy/moving/agent.py
@@ -30,7 +30,7 @@ class AbstractAgent():
if memory_friendly:
self.__posorients = None
else:
- self.__posorients = self.db.get_posorients()
+ self.__posorients = self.db.posorients
# set mode of motion
mode_move = {'mode': 'on_cubic_grid',
'param': {'grid_spacing':
@@ -217,7 +217,7 @@ class Multi(AbstractAgent):
super().__init__(database_filename, False)
# Init the graph
self.__graph = nx.DiGraph()
- for row_id, posor in self.db.get_posorients().iterrows():
+ for row_id, posor in self.db.posorients.iterrows():
posor.name = row_id
self.__graph.add_node(row_id,
posorient=posor)
diff --git a/navipy/moving/test_agent.py b/navipy/moving/test_agent.py
index d088cb777db19799b8c825a0a0e1d846d223b13f..8775361fbcede6c9ee87feb54c9d41bd8ca496c5 100644
--- a/navipy/moving/test_agent.py
+++ b/navipy/moving/test_agent.py
@@ -84,7 +84,7 @@ class TestNavipyMovingAgent(unittest.TestCase):
def test_init(self):
agent = naviagent.Multi(self.mydb_filename)
self.assertEqual(sorted(agent.graph.nodes),
- sorted(list(self.mydb.get_posorients().index)),
+ sorted(list(self.mydb.posorients.index)),
'Init of graph failed. Node missmatch')
def test_graph_setter(self):
diff --git a/navipy/processing/pcode.py b/navipy/processing/pcode.py
index 2059413f4fdffffefb5ee6620335e4817940a4c7..24bea9c826059f1edfbc21ef6728588c324f87bb 100644
--- a/navipy/processing/pcode.py
+++ b/navipy/processing/pcode.py
@@ -1,8 +1,7 @@
"""
-place code
+place code derived from scene
"""
import numpy as np
-import pandas as pd
from scipy.ndimage import maximum_filter, minimum_filter
from .constants import __spherical_indeces__
from .constants import __ibpc_indeces__
@@ -14,64 +13,6 @@ from .tools import check_scene
from .tools import check_viewing_direction
-def scene(database, posorient=None, rowid=None):
- """ Return a scene at a position orientation or given rowid \
- in a given database.
-
- :param database: a DataBaseLoad class \
- :param posorient: a pandas Series with index: \
- ['x','y','z','alpha_0,'alpha_1,'alpha_2'] (default None, i.e. not used)
- :param rowid: a row identification integer for directly reading \
- in the database (default None, i.e. not used).
- :returns: a scene [elevation, azimuth, channel, 1] or \
- [ommatidia,channel,1].
- :rtype: np.ndarray
-
- .. literalinclude:: example/processing/scene.py
- :lines: 14-15
-
- .. plot:: example/processing/scene.py
- """
- # where to check if db is okay? in database?
-
- if posorient is not None:
- if not isinstance(posorient, pd.Series):
- raise TypeError('posorient should be a pandas Series')
- if posorient.empty:
- raise Exception('position must not be empty')
- if 'x' not in posorient.index:
- raise ValueError('missing index x')
- if 'y' not in posorient.index:
- raise ValueError('missing index y')
- if 'z' not in posorient.index:
- raise ValueError('missing index z')
- if 'alpha_0' not in posorient.index:
- raise ValueError('missing index alpha_0')
- if 'alpha_1' not in posorient.index:
- raise ValueError('missing index alpha_1')
- if 'alpha_2' not in posorient.index:
- raise ValueError('missing index alpha_2')
- if not ~np.any(pd.isnull(posorient)):
- raise ValueError('posorient must not contain nan')
- if rowid is not None:
- if not isinstance(rowid, int):
- raise TypeError('rowid must be of type integer')
- if rowid <= 0:
- raise ValueError('rowid must be greater zero')
- if rowid is np.nan:
- raise ValueError('rowid must not be nan')
- # assert rowid in database.index#??
- if rowid is not None or posorient is not None:
- scene = database.read_image(posorient=posorient,
- rowid=rowid)
- # print(np.array(scene).shape)
- scene = scene[..., np.newaxis]
- # print(np.array(scene).shape)
- return scene
- else:
- raise ValueError('either rowid or posoriend must be given')
-
-
def skyline(scene):
"""Return the average along the elevation of a scene
:param scene: the scenery at a given location (a 4d numpy array)
diff --git a/navipy/processing/test.py b/navipy/processing/test.py
index c8af1a99b51fa6aad3caad8022b72404891d1bf9..39b75415a3eb68f4996ba9419ebbb451c24ccc60 100644
--- a/navipy/processing/test.py
+++ b/navipy/processing/test.py
@@ -28,7 +28,7 @@ class TestCase(unittest.TestCase):
posorient.alpha_0 = rows[3]
posorient.alpha_1 = rows[2]
posorient.alpha_2 = rows[4]
- image = pcode.scene(self.mydb, posorient=posorient)
+ image = self.mydb.scene(posorient=posorient)
self.assertIsNotNone(image)
self.assertFalse(sum(image.shape) == 0)
# print("shape",image.shape)
@@ -44,7 +44,7 @@ class TestCase(unittest.TestCase):
posorient2.alpha_1 = posorient.alpha_1
posorient2.alpha_2 = posorient.alpha_2
with self.assertRaises(Exception):
- image = pcode.scene(self.mydb, posorient=posorient2)
+ image = self.mydb.scene(posorient=posorient2)
# incorrect case None
posorient2 = pd.Series(index=['x', 'y', 'z',
@@ -56,7 +56,7 @@ class TestCase(unittest.TestCase):
posorient2.alpha_1 = posorient.alpha_1
posorient2.alpha_2 = posorient.alpha_2
with self.assertRaises(ValueError):
- image = pcode.scene(self.mydb, posorient=posorient2)
+ image = self.mydb.scene(posorient=posorient2)
# incorrect case nan
posorient2 = pd.Series(index=['x', 'y', 'z',
@@ -68,7 +68,7 @@ class TestCase(unittest.TestCase):
posorient2.alpha_1 = posorient.alpha_1
posorient2.alpha_2 = posorient.alpha_2
with self.assertRaises(ValueError):
- image = pcode.scene(self.mydb, posorient=posorient2)
+ image = self.mydb.scene(posorient=posorient2)
# incorrect case no pandas series but dict
posorient2 = {}
@@ -79,17 +79,17 @@ class TestCase(unittest.TestCase):
posorient2['alpha_1'] = posorient.alpha_1
posorient2['alpha_2'] = posorient.alpha_2
with self.assertRaises(TypeError):
- image = pcode.scene(self.mydb, posorient=posorient2)
+ image = self.mydb.scene(posorient=posorient2)
# not working case empty
posorient2 = pd.Series(index=['x', 'y', 'z',
'alpha_0', 'alpha_1', 'alpha_2'])
with self.assertRaises(Exception):
- image = pcode.scene(self.mydb, posorient=posorient2)
+ image = self.mydb.scene(posorient=posorient2)
def test_skyline_scene(self):
- scene = pcode.scene(self.mydb, rowid=1)
+ scene = self.mydb.scene(rowid=1)
scene2 = scene.copy()
scene2[3, 5, 2, 0] = np.nan
scene3 = [[1, 2, 3], [1, 2, 3], [1, 2, 3]]
@@ -121,18 +121,18 @@ class TestCase(unittest.TestCase):
for rowid in [0, -2]:
with self.assertRaises(ValueError):
# print("rowid",rowid)
- pcode.scene(self.mydb, rowid=rowid)
+ self.mydb.scene(rowid=rowid)
with self.assertRaises(TypeError):
- pcode.scene(self.mydb, rowid='T')
+ self.mydb.scene(rowid='T')
with self.assertRaises(ValueError):
- pcode.scene(self.mydb, rowid=None)
+ self.mydb.scene(rowid=None)
with self.assertRaises(TypeError):
- pcode.scene(self.mydb, rowid=np.nan)
+ self.mydb.scene(rowid=np.nan)
with self.assertRaises(TypeError):
- pcode.scene(self.mydb, rowid=4.5)
+ self.mydb.scene(rowid=4.5)
for rowid in [1, 2, 3, 4, 5]:
- image = pcode.scene(self.mydb, rowid=rowid)
+ image = self.mydb.scene(rowid=rowid)
# image=np.array(image)
self.assertIsNotNone(image)
self.assertFalse(sum(image.shape) == 0)
@@ -144,7 +144,7 @@ class TestCase(unittest.TestCase):
self.assertTrue(image.shape[1] > 0)
def test_distance_channel(self):
- scene = pcode.scene(self.mydb, rowid=1)
+ scene = self.mydb.scene(rowid=1)
# should not be working
for d in ['g', None, np.nan, 8.4]:
with self.assertRaises(TypeError):
@@ -165,7 +165,7 @@ class TestCase(unittest.TestCase):
self.assertEqual(weighted_scene.shape, scene.shape)
def test_contr_weight_scene(self):
- scene = pcode.scene(self.mydb, rowid=1)
+ scene = self.mydb.scene(rowid=1)
# working cases
contrast = pcode.contrast_weighted_nearness(scene)
@@ -193,7 +193,7 @@ class TestCase(unittest.TestCase):
contrast = pcode.contrast_weighted_nearness(scene4)
def test_contr_weight_contrast(self):
- scene = pcode.scene(self.mydb, rowid=1)
+ scene = self.mydb.scene(rowid=1)
for size in [9.4, 'g', None, np.nan]:
with self.assertRaises(TypeError):
contrast = pcode.contrast_weighted_nearness(
@@ -220,7 +220,7 @@ class TestCase(unittest.TestCase):
def test_pcv(self):
# working case
rowid = 1
- my_scene = pcode.scene(self.mydb, rowid=rowid)
+ my_scene = self.mydb.scene(rowid=rowid)
directions = self.mydb.viewing_directions
my_pcv = pcode.pcv(my_scene, directions)
self.assertIsNotNone(my_pcv)
@@ -261,7 +261,7 @@ class TestCase(unittest.TestCase):
def test_apcv(self):
# working case
rowid = 1
- my_scene = pcode.scene(self.mydb, rowid=rowid)
+ my_scene = self.mydb.scene(rowid=rowid)
# print("scene shape",my_scene.shape)
directions = self.mydb.viewing_directions
# print("directions",directions.shape)
@@ -304,7 +304,7 @@ class TestCase(unittest.TestCase):
def test_size(self):
# not working cases:
- scene = pcode.scene(self.mydb, rowid=1)
+ scene = self.mydb.scene(rowid=1)
for size in [8, 1, 0, -4]:
with self.assertRaises(ValueError):
contrast = pcode.michelson_contrast(
@@ -328,7 +328,7 @@ class TestCase(unittest.TestCase):
def test_michelsoncontrast_scene(self):
- scene = pcode.scene(self.mydb, rowid=1)
+ scene = self.mydb.scene(rowid=1)
# working cases
contrast = pcode.michelson_contrast(scene)
diff --git a/navipy/rendering/bee_sampling.py b/navipy/rendering/bee_sampling.py
index c1f388a237d0dfa1eb4ac24c3de2256202aab837..817ae03ec11cb75bbb7208238190feb7800023d7 100644
--- a/navipy/rendering/bee_sampling.py
+++ b/navipy/rendering/bee_sampling.py
@@ -41,18 +41,21 @@ harddrive space, as each image is composed of 4 channels of 180x360 pixels.
:param alpha2: the 2nd euler angles
:param alpha3: the 3rd euler angles
"""
- if not (isinstance(x, int) or isinstance(x, float)):
- raise TypeError('x must be integer')
- if not (isinstance(y, int) or isinstance(y, float)):
- raise TypeError('y must be integer')
- if not (isinstance(z, int) or isinstance(z, float)):
- raise TypeError('z must be integer')
- if not (isinstance(alpha1, float) or isinstance(alpha1, int)):
- raise TypeError('alpha1 must be float')
- if not (isinstance(alpha2, float) or isinstance(alpha2, int)):
- raise TypeError('alpha2 must be float')
- if not (isinstance(alpha3, float) or isinstance(alpha3, int)):
- raise TypeError('alpha3 must be float')
+ if not (isinstance(x, np.ndarray) or isinstance(x, list)):
+ raise TypeError('x must be list or np.array')
+ if not (isinstance(y, np.ndarray) or isinstance(y, list)):
+ raise TypeError('y must be list or np.array')
+ if not (isinstance(z, np.ndarray) or isinstance(z, list)):
+ raise TypeError('z must be list or np.array')
+ if not (isinstance(alpha1, np.ndarray) or
+ isinstance(alpha1, list)):
+ raise TypeError('alpha1 must be list or np.array')
+ if not (isinstance(alpha2, np.ndarray) or
+ isinstance(alpha2, list)):
+ raise TypeError('alpha2 must be list or np.array')
+ if not (isinstance(alpha3, np.ndarray) or
+ isinstance(alpha3, list)):
+ raise TypeError('alpha3 must be list or np.array')
[mx, my, mz, ma1, ma2, ma3] = np.meshgrid(x,
y,
z,
diff --git a/navipy/rendering/cyber_bee.py b/navipy/rendering/cyber_bee.py
index ac7a2d8e165c6c0ec091028ff68fabe898c218b0..9c203e55a30fae9d6fdc3189894cf868aa336e1f 100644
--- a/navipy/rendering/cyber_bee.py
+++ b/navipy/rendering/cyber_bee.py
@@ -13,6 +13,7 @@ import bpy
import numpy as np
import tempfile
import os
+import pandas as pd
class Cyberbee():
@@ -199,17 +200,22 @@ class Cyberbee():
..todo Change assert to if -> raise TypeError()/KeyError()
"""
- if not (isinstance(resolution, list) or
+ if not (isinstance(resolution, tuple) or
+ isinstance(resolution, list) or
isinstance(resolution, np.ndarray)):
- raise TypeError('resolution must be list or array')
+ raise TypeError('resolution must be list, array, or tuple')
if not self.camera.data.type == 'PANO':
raise Exception('Camera is not panoramic')
if not self.camera.data.cycles.panorama_type == 'EQUIRECTANGULAR':
raise Exception('Camera is not equirectangular')
- self.camera.data.cycles.latitude_min = np.deg2rad(resolution[0, 0])
- self.camera.data.cycles.latitude_max = np.deg2rad(resolution[0, 1])
- self.camera.data.cycles.longitude_min = np.deg2rad(resolution[1, 0])
- self.camera.data.cycles.longitude_max = np.deg2rad(resolution[1, 1])
+ self.camera.data.cycles.latitude_min = np.deg2rad(
+ resolution[0][0])
+ self.camera.data.cycles.latitude_max = np.deg2rad(
+ resolution[0][1])
+ self.camera.data.cycles.longitude_min = np.deg2rad(
+ resolution[1][0])
+ self.camera.data.cycles.longitude_max = np.deg2rad(
+ resolution[1][1])
@property
def camera_gaussian_width(self, gauss_w=1.5):
@@ -260,7 +266,7 @@ class Cyberbee():
return resolution_x, resolution_y
@camera_resolution.setter
- def set_camera_resolution(self, resolution=[360, 180]):
+ def camera_resolution(self, resolution=[360, 180]):
"""change the camera resolution (nb of pixels)
@@ -299,13 +305,21 @@ class Cyberbee():
specified by scene.camera.rotation_mode
:type posorient: 1x6 double array
"""
- if len(posorient) != 6:
- raise Exception('posorient should be a 1x6 double array')
- if not (isinstance(posorient, np.ndarray) or
+ print(posorient)
+ if (isinstance(posorient, np.ndarray) or
isinstance(posorient, list)):
- raise TypeError('posorient must be of type array or list')
- self.camera.location = posorient[:3]
- self.camera.rotation_euler = posorient[3:]
+
+ if len(posorient) != 6:
+ raise Exception('posorient should be a 1x6 double array')
+ self.camera.location = posorient[:3]
+ self.camera.rotation_euler = posorient[3:]
+ elif isinstance(posorient, pd.Series):
+ self.camera.location = posorient.loc[['x', 'y', 'z']].values
+ self.camera.rotation_euler = \
+ posorient.loc[['alpha_0', 'alpha_1', 'alpha_2']].values
+ else:
+ raise TypeError(
+ 'posorient must be of type array, list, or pandas Series')
# Render
bpy.ops.render.render()