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hovren/crisp | crisp/camera.py | AtanCameraModel.invert | def invert(self, points):
"""Invert the distortion
Parameters
------------------
points : ndarray
Input image points
Returns
-----------------
ndarray
Undistorted points
"""
X = points if not points.ndim == 1 else points.r... | python | def invert(self, points):
"""Invert the distortion
Parameters
------------------
points : ndarray
Input image points
Returns
-----------------
ndarray
Undistorted points
"""
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hovren/crisp | crisp/camera.py | AtanCameraModel.project | def project(self, points):
"""Project 3D points to image coordinates.
This projects 3D points expressed in the camera coordinate system to image points.
Parameters
--------------------
points : (3, N) ndarray
3D points
Returns
--------------------
... | python | def project(self, points):
"""Project 3D points to image coordinates.
This projects 3D points expressed in the camera coordinate system to image points.
Parameters
--------------------
points : (3, N) ndarray
3D points
Returns
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hovren/crisp | crisp/camera.py | AtanCameraModel.unproject | def unproject(self, image_points):
"""Find (up to scale) 3D coordinate of an image point
This is the inverse of the `project` function.
The resulting 3D points are only valid up to an unknown scale.
Parameters
----------------------
image_points : (2, N) ndarray
... | python | def unproject(self, image_points):
"""Find (up to scale) 3D coordinate of an image point
This is the inverse of the `project` function.
The resulting 3D points are only valid up to an unknown scale.
Parameters
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image_points : (2, N) ndarray
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hovren/crisp | crisp/camera.py | OpenCVCameraModel.project | def project(self, points):
"""Project 3D points to image coordinates.
This projects 3D points expressed in the camera coordinate system to image points.
Parameters
--------------------
points : (3, N) ndarray
3D points
Returns
--------------------
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"""Project 3D points to image coordinates.
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Parameters
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points : (3, N) ndarray
3D points
Returns
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hovren/crisp | crisp/camera.py | OpenCVCameraModel.unproject | def unproject(self, image_points):
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Parameters
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image_points : (2, N) ndarray
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image_points : (2, N) ndarray
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hovren/crisp | crisp/camera.py | Kinect.timestamps_from_file_list | def timestamps_from_file_list(file_list):
"Take list of Kinect filenames (without path) and extracts timestamps while accounting for timestamp overflow (returns linear timestamps)."
timestamps = np.array([Kinect.timestamp_from_filename(fname) for fname in file_list])
# Handle overflow
d... | python | def timestamps_from_file_list(file_list):
"Take list of Kinect filenames (without path) and extracts timestamps while accounting for timestamp overflow (returns linear timestamps)."
timestamps = np.array([Kinect.timestamp_from_filename(fname) for fname in file_list])
# Handle overflow
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hovren/crisp | crisp/camera.py | Kinect.purge_bad_timestamp_files | def purge_bad_timestamp_files(file_list):
"Given a list of image files, find bad frames, remove them and modify file_list"
MAX_INITIAL_BAD_FRAMES = 15
bad_ts = Kinect.detect_bad_timestamps(Kinect.timestamps_from_file_list(file_list))
# Trivial case
if not bad_ts:
... | python | def purge_bad_timestamp_files(file_list):
"Given a list of image files, find bad frames, remove them and modify file_list"
MAX_INITIAL_BAD_FRAMES = 15
bad_ts = Kinect.detect_bad_timestamps(Kinect.timestamps_from_file_list(file_list))
# Trivial case
if not bad_ts:
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hovren/crisp | crisp/camera.py | Kinect.depth_file_for_nir_file | def depth_file_for_nir_file(video_filename, depth_file_list):
"""Returns the corresponding depth filename given a NIR filename"""
(root, filename) = os.path.split(video_filename)
needle_ts = int(filename.split('-')[2].split('.')[0])
haystack_ts_list = np.array(Kinect.timestamps_from_file... | python | def depth_file_for_nir_file(video_filename, depth_file_list):
"""Returns the corresponding depth filename given a NIR filename"""
(root, filename) = os.path.split(video_filename)
needle_ts = int(filename.split('-')[2].split('.')[0])
haystack_ts_list = np.array(Kinect.timestamps_from_file... | [
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hovren/crisp | crisp/camera.py | Kinect.depth_file_for_rgb_file | def depth_file_for_rgb_file(rgb_filename, rgb_file_list, depth_file_list):
"""Returns the *closest* depth file from an RGB filename"""
(root, filename) = os.path.split(rgb_filename)
rgb_timestamps = np.array(Kinect.timestamps_from_file_list(rgb_file_list))
depth_timestamps = np.array(Kin... | python | def depth_file_for_rgb_file(rgb_filename, rgb_file_list, depth_file_list):
"""Returns the *closest* depth file from an RGB filename"""
(root, filename) = os.path.split(rgb_filename)
rgb_timestamps = np.array(Kinect.timestamps_from_file_list(rgb_file_list))
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hovren/crisp | crisp/camera.py | Kinect.find_nir_file_with_missing_depth | def find_nir_file_with_missing_depth(video_file_list, depth_file_list):
"Remove all files without its own counterpart. Returns new lists of files"
new_video_list = []
new_depth_list = []
for fname in video_file_list:
try:
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"Remove all files without its own counterpart. Returns new lists of files"
new_video_list = []
new_depth_list = []
for fname in video_file_list:
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hovren/crisp | crisp/camera.py | Kinect.disparity_image_to_distance | def disparity_image_to_distance(self, dval_img):
"Convert image of Kinect disparity values to distance (linear method)"
dist_img = dval_img / 2048.0
dist_img = 1 / (self.opars[0]*dist_img + self.opars[1])
return dist_img | python | def disparity_image_to_distance(self, dval_img):
"Convert image of Kinect disparity values to distance (linear method)"
dist_img = dval_img / 2048.0
dist_img = 1 / (self.opars[0]*dist_img + self.opars[1])
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hovren/crisp | crisp/videoslice.py | fill_sampling | def fill_sampling(slice_list, N):
"""Given a list of slices, draw N samples such that each slice contributes as much as possible
Parameters
--------------------------
slice_list : list of Slice
List of slices
N : int
Number of samples to draw
"""
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"""Given a list of slices, draw N samples such that each slice contributes as much as possible
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List of slices
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Number of samples to draw
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hovren/crisp | crisp/videoslice.py | Slice.estimate_rotation | def estimate_rotation(self, camera, ransac_threshold=7.0):
"""Estimate the rotation between first and last frame
It uses RANSAC where the error metric is the reprojection error of the points
from the last frame to the first frame.
Parameters
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hovren/crisp | crisp/videoslice.py | Slice.from_stream_randomly | def from_stream_randomly(video_stream, step_bounds=(5, 15), length_bounds=(2, 15), max_start=None, min_distance=10, min_slice_points=10):
"""Create slices from a video stream using random sampling
Parameters
-----------------
video_stream : VideoStream
A video stream
... | python | def from_stream_randomly(video_stream, step_bounds=(5, 15), length_bounds=(2, 15), max_start=None, min_distance=10, min_slice_points=10):
"""Create slices from a video stream using random sampling
Parameters
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video_stream : VideoStream
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hovren/crisp | crisp/rotations.py | procrustes | def procrustes(X, Y, remove_mean=False):
"""Orthogonal procrustes problem solver
The procrustes problem finds the best rotation R, and translation t
where
X = R*Y + t
The number of points in X and Y must be at least 2.
For the minimal case of two points, a third point is temporari... | python | def procrustes(X, Y, remove_mean=False):
"""Orthogonal procrustes problem solver
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X = R*Y + t
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hovren/crisp | crisp/rotations.py | rotation_matrix_to_axis_angle | def rotation_matrix_to_axis_angle(R):
"""Convert a 3D rotation matrix to a 3D axis angle representation
Parameters
---------------
R : (3,3) array
Rotation matrix
Returns
----------------
v : (3,) array
(Unit-) rotation angle
theta : float
Angle of r... | python | def rotation_matrix_to_axis_angle(R):
"""Convert a 3D rotation matrix to a 3D axis angle representation
Parameters
---------------
R : (3,3) array
Rotation matrix
Returns
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v : (3,) array
(Unit-) rotation angle
theta : float
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hovren/crisp | crisp/rotations.py | axis_angle_to_rotation_matrix | def axis_angle_to_rotation_matrix(v, theta):
"""Convert rotation from axis-angle to rotation matrix
Parameters
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Rotation axis (normalized)
theta : float
Rotation angle (radians)
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"""Convert rotation from axis-angle to rotation matrix
Parameters
---------------
v : (3,) ndarray
Rotation axis (normalized)
theta : float
Rotation angle (radians)
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R : (3,3) ndarray
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hovren/crisp | crisp/rotations.py | quat_to_rotation_matrix | def quat_to_rotation_matrix(q):
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"""Convert unit quaternion to rotation matrix
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Unit quaternion, scalar as first element
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R : (3,3) ndarray
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hovren/crisp | crisp/rotations.py | integrate_gyro_quaternion | def integrate_gyro_quaternion(gyro_ts, gyro_data):
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Parameters
---------------
gyro_ts : ndarray
Timestamps
gyro_data : (3, N) ndarray
Angular velocity measurements
Returns
---------------
rotations : (4, N) nd... | python | def integrate_gyro_quaternion(gyro_ts, gyro_data):
"""Integrate angular velocities to rotations
Parameters
---------------
gyro_ts : ndarray
Timestamps
gyro_data : (3, N) ndarray
Angular velocity measurements
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hovren/crisp | crisp/rotations.py | slerp | def slerp(q1, q2, u):
"""SLERP: Spherical linear interpolation between two unit quaternions.
Parameters
------------
q1 : (4, ) ndarray
Unit quaternion (first element scalar)
q2 : (4, ) ndarray
Unit quaternion (first element scalar)
u : float
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"""SLERP: Spherical linear interpolation between two unit quaternions.
Parameters
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q1 : (4, ) ndarray
Unit quaternion (first element scalar)
q2 : (4, ) ndarray
Unit quaternion (first element scalar)
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hovren/crisp | crisp/rotations.py | estimate_rotation_procrustes_ransac | def estimate_rotation_procrustes_ransac(x, y, camera, threshold, inlier_ratio=0.75, do_translation=False):
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Inlier criteria is the reprojection error of y into image 1.
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-------------------------
x : array 2xN i... | python | def estimate_rotation_procrustes_ransac(x, y, camera, threshold, inlier_ratio=0.75, do_translation=False):
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hovren/crisp | crisp/ransac.py | RANSAC | def RANSAC(model_func, eval_func, data, num_points, num_iter, threshold, recalculate=False):
"""Apply RANSAC.
This RANSAC implementation will choose the best model based on the number of points in the consensus set. At evaluation time the model is created using num_points points. Then it will be recalculated u... | python | def RANSAC(model_func, eval_func, data, num_points, num_iter, threshold, recalculate=False):
"""Apply RANSAC.
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hovren/crisp | crisp/tracking.py | track_points | def track_points(img1, img2, initial_points=None, gftt_params={}):
"""Track points between two images
Parameters
-----------------
img1 : (M, N) ndarray
First image
img2 : (M, N) ndarray
Second image
initial_points : ndarray
Initial points. If empty, init... | python | def track_points(img1, img2, initial_points=None, gftt_params={}):
"""Track points between two images
Parameters
-----------------
img1 : (M, N) ndarray
First image
img2 : (M, N) ndarray
Second image
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hovren/crisp | crisp/tracking.py | optical_flow_magnitude | def optical_flow_magnitude(image_sequence, max_diff=60, gftt_options={}):
"""Return optical flow magnitude for the given image sequence
The flow magnitude is the mean value of the total (sparse) optical flow
between two images.
Crude outlier detection using the max_diff parameter is used.
... | python | def optical_flow_magnitude(image_sequence, max_diff=60, gftt_options={}):
"""Return optical flow magnitude for the given image sequence
The flow magnitude is the mean value of the total (sparse) optical flow
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Crude outlier detection using the max_diff parameter is used.
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hovren/crisp | crisp/tracking.py | track | def track(image_list, initial_points, remove_bad=True):
"""Track points in image list
Parameters
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image_list : list
List of images to track in
initial_points : ndarray
Initial points to use (in first image in image_list)
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"""Track points in image list
Parameters
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image_list : list
List of images to track in
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Initial points to use (in first image in image_list)
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hovren/crisp | crisp/tracking.py | track_retrack | def track_retrack(image_list, initial_points, max_retrack_distance=0.5, keep_bad=False):
"""Track-retracks points in image list
Using track-retrack can help in only getting point tracks of high quality.
The point is tracked forward, and then backwards in the image sequence.
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hovren/crisp | crisp/imu.py | IMU.from_mat_file | def from_mat_file(cls, matfilename):
"""Load gyro data from .mat file
The MAT file should contain the following two arrays
gyro : (3, N) float ndarray
The angular velocity measurements.
timestamps : (N, ) float ndarray
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"""Load gyro data from .mat file
The MAT file should contain the following two arrays
gyro : (3, N) float ndarray
The angular velocity measurements.
timestamps : (N, ) float ndarray
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hovren/crisp | crisp/imu.py | IMU.rate | def rate(self):
"""Get the sample rate in Hz.
Returns
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rate : float
The sample rate, in Hz, calculated from the timestamps
"""
N = len(self.timestamps)
t = self.timestamps[-1] - self.timestamps[0]
rate = 1.0 * N / ... | python | def rate(self):
"""Get the sample rate in Hz.
Returns
---------
rate : float
The sample rate, in Hz, calculated from the timestamps
"""
N = len(self.timestamps)
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hovren/crisp | crisp/imu.py | IMU.zero_level_calibrate | def zero_level_calibrate(self, duration, t0=0.0):
"""Performs zero-level calibration from the chosen time interval.
This changes the previously lodaded data in-place.
Parameters
--------------------
duration : float
Number of timeunits to use for... | python | def zero_level_calibrate(self, duration, t0=0.0):
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hovren/crisp | crisp/imu.py | IMU.integrate | def integrate(self, pose_correction=np.eye(3), uniform=True):
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Rotation matrix that describes the relative pose between the IMU and something else (... | python | def integrate(self, pose_correction=np.eye(3), uniform=True):
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hovren/crisp | crisp/imu.py | IMU.rotation_at_time | def rotation_at_time(t, timestamps, rotation_sequence):
"""Get the gyro rotation at time t using SLERP.
Parameters
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t : float
The query timestamp.
timestamps : array_like float
List of all timestamps
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"""Get the gyro rotation at time t using SLERP.
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The query timestamp.
timestamps : array_like float
List of all timestamps
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hovren/crisp | crisp/stream.py | GyroStream.from_csv | def from_csv(cls, filename):
"""Create gyro stream from CSV data
Load data from a CSV file.
The data must be formatted with three values per line: (x, y, z)
where x, y, z is the measured angular velocity (in radians) of the specified axis.
Parameters
-------------------... | python | def from_csv(cls, filename):
"""Create gyro stream from CSV data
Load data from a CSV file.
The data must be formatted with three values per line: (x, y, z)
where x, y, z is the measured angular velocity (in radians) of the specified axis.
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hovren/crisp | crisp/stream.py | GyroStream.from_data | def from_data(cls, data):
"""Create gyroscope stream from data array
Parameters
-------------------
data : (N, 3) ndarray
Data array of angular velocities (rad/s)
Returns
-------------------
GyroStream
Stream object
"""
if... | python | def from_data(cls, data):
"""Create gyroscope stream from data array
Parameters
-------------------
data : (N, 3) ndarray
Data array of angular velocities (rad/s)
Returns
-------------------
GyroStream
Stream object
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hovren/crisp | crisp/stream.py | GyroStream.integrate | def integrate(self, dt):
"""Integrate gyro measurements to orientation using a uniform sample rate.
Parameters
-------------------
dt : float
Sample distance in seconds
Returns
----------------
orientation : (4, N) ndarray
Gyrosco... | python | def integrate(self, dt):
"""Integrate gyro measurements to orientation using a uniform sample rate.
Parameters
-------------------
dt : float
Sample distance in seconds
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hovren/crisp | crisp/znccpyr.py | gaussian_kernel | def gaussian_kernel(gstd):
"""Generate odd sized truncated Gaussian
The generated filter kernel has a cutoff at $3\sigma$
and is normalized to sum to 1
Parameters
-------------
gstd : float
Standard deviation of filter
Returns
-------------
g : ndarray
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"""Generate odd sized truncated Gaussian
The generated filter kernel has a cutoff at $3\sigma$
and is normalized to sum to 1
Parameters
-------------
gstd : float
Standard deviation of filter
Returns
-------------
g : ndarray
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hovren/crisp | crisp/znccpyr.py | subsample | def subsample(time_series, downsample_factor):
"""Subsample with Gaussian prefilter
The prefilter will have the filter size $\sigma_g=.5*ssfactor$
Parameters
--------------
time_series : ndarray
Input signal
downsample_factor : float
Downsampling factor
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"""Subsample with Gaussian prefilter
The prefilter will have the filter size $\sigma_g=.5*ssfactor$
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--------------
time_series : ndarray
Input signal
downsample_factor : float
Downsampling factor
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hovren/crisp | crisp/znccpyr.py | upsample | def upsample(time_series, scaling_factor):
"""Upsample using linear interpolation
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--------------
time_series : ndarray
Input signal
scaling_factor : float
The factor to upsample with
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--------------
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hovren/crisp | crisp/znccpyr.py | zncc | def zncc(ts1,ts2):
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--------------
ts1 : ndarray
Input signal 1 to be aligned with
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Input signal 1 to be aligned with
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hovren/crisp | crisp/znccpyr.py | find_shift_pyr | def find_shift_pyr(ts1,ts2,nlevels):
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Find shift that best aligns two time series
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hovren/crisp | crisp/l3g4200d.py | load_L3G_arduino | def load_L3G_arduino(filename, remove_begin_spurious=False, return_parser=False):
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file_data = open(filename, 'rb').read()
parser = L3GArduinoParser()
... | python | def load_L3G_arduino(filename, remove_begin_spurious=False, return_parser=False):
"Load gyro data collected by the arduino version of the L3G logging platform, and return the data (in rad/s), a time vector, and the sample rate (seconds)"
file_data = open(filename, 'rb').read()
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hovren/crisp | examples/gopro_dataset_example.py | to_rot_matrix | def to_rot_matrix(r):
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theta = np.linalg.norm(r)
v = r/theta
R = crisp.rotations.axis_angle_to_rotation_matrix(v, theta)
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hovren/crisp | crisp/pose.py | estimate_pose | def estimate_pose(image_sequences, imu_sequences, K):
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From each sequence we calculate the rotation axis (one from images, ... | python | def estimate_pose(image_sequences, imu_sequences, K):
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hovren/crisp | crisp/pose.py | pick_manual | def pick_manual(image_sequence, imu_gyro, num_sequences=2):
"""Select N matching sequences and return data indices.
Parameters
---------------
image_sequence : list_like
A list, or generator, of image data
imu_gyro : (3, N) ndarray
Gyroscope data (angular velocities)
... | python | def pick_manual(image_sequence, imu_gyro, num_sequences=2):
"""Select N matching sequences and return data indices.
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image_sequence : list_like
A list, or generator, of image data
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Gyroscope data (angular velocities)
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Angular velocity measurements
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sbuss/bitmerchant | bitmerchant/wallet/bip32.py | Wallet.identifier | def identifier(self):
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sbuss/bitmerchant | bitmerchant/wallet/bip32.py | Wallet.get_child | def get_child(self, child_number, is_prime=None, as_private=True):
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:param child_number: The number of the child key to compute
:type child_number: int
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sbuss/bitmerchant | bitmerchant/wallet/bip32.py | Wallet.crack_private_key | def crack_private_key(self, child_private_key):
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sbuss/bitmerchant | bitmerchant/wallet/bip32.py | Wallet.export_to_wif | def export_to_wif(self):
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"""
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CloverHealth/pytest-pgsql | deploy.py | _pypi_push | def _pypi_push(dist):
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pyvisa/pyvisa-sim | pyvisa-sim/parser.py | _get_triplet | def _get_triplet(dd):
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:type dd: Dict[str, str]
:return: (query, response, error response)
:rtype: (str, str | NoResponse, str | NoResponse)
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pyvisa/pyvisa-sim | pyvisa-sim/parser.py | _load | def _load(content_or_fp):
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pyvisa/pyvisa-sim | pyvisa-sim/parser.py | get_bases | def get_bases(definition_dict, loader):
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pyvisa/pyvisa-sim | pyvisa-sim/channels.py | Channels.add_dialogue | def add_dialogue(self, query, response):
"""Add dialogue to channel.
:param query: query string
:param response: response string
"""
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pyvisa/pyvisa-sim | pyvisa-sim/channels.py | Channels.add_property | def add_property(self, name, default_value, getter_pair, setter_triplet,
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:param name: property name
:param default_value: default value as string
:param getter_pair: (query, response)
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pyvisa/pyvisa-sim | pyvisa-sim/channels.py | Channels.match | def match(self, query):
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pyvisa/pyvisa-sim | pyvisa-sim/channels.py | Channels._match_setters | def _match_setters(self, query):
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pyvisa/pyvisa-sim | pyvisa-sim/highlevel.py | SimVisaLibrary.get_debug_info | def get_debug_info():
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pyvisa/pyvisa-sim | pyvisa-sim/highlevel.py | SimVisaLibrary.open | def open(self, session, resource_name,
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pyvisa/pyvisa-sim | pyvisa-sim/highlevel.py | SimVisaLibrary.close | def close(self, session):
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pyvisa/pyvisa-sim | pyvisa-sim/highlevel.py | SimVisaLibrary.list_resources | def list_resources(self, session, query='?*::INSTR'):
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pyvisa/pyvisa-sim | pyvisa-sim/highlevel.py | SimVisaLibrary.read | def read(self, session, count):
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pyvisa/pyvisa-sim | pyvisa-sim/sessions.py | Session.get_session_class | def get_session_class(cls, interface_type, resource_class):
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:type interface_type: constants.InterfaceType
:type resource_class: str
:return: Session
"""
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pyvisa/pyvisa-sim | pyvisa-sim/sessions.py | Session.register | def register(cls, interface_type, resource_class):
"""Register a session class for a given interface type and resource class.
:type interface_type: constants.InterfaceType
:type resource_class: str
"""
def _internal(python_class):
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"""Register a session class for a given interface type and resource class.
:type interface_type: constants.InterfaceType
:type resource_class: str
"""
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:param attribute:
:return: attribute value, status code
:rtype: object, constants.StatusCode
"""
# Check that the attribute exists.
try:
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pyvisa/pyvisa-sim | pyvisa-sim/sessions.py | Session.set_attribute | def set_attribute(self, attribute, attribute_state):
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:return: attribute value, status code
:rtype: object, constants.StatusCode
"""
# Check that the attribute exists.
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pyvisa/pyvisa-sim | pyvisa-sim/component.py | to_bytes | def to_bytes(val):
"""Takes a text message and return a tuple
"""
if val is NoResponse:
return val
val = val.replace('\\r', '\r').replace('\\n', '\n')
return val.encode() | python | def to_bytes(val):
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if val is NoResponse:
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pyvisa/pyvisa-sim | pyvisa-sim/component.py | Property.validate_value | def validate_value(self, string_value):
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"""
specs = self.specs
if 'type' in specs:
value = specs['type'](string_value)
else:
value = string_value
if 'min' in specs and value < specs['min']:
... | python | def validate_value(self, string_value):
"""Validate that a value match the Property specs.
"""
specs = self.specs
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pyvisa/pyvisa-sim | pyvisa-sim/component.py | Component._match_dialog | def _match_dialog(self, query, dialogues=None):
"""Tries to match in dialogues
:param query: message tuple
:type query: Tuple[bytes]
:return: response if found or None
:rtype: Tuple[bytes] | None
"""
if dialogues is None:
dialogues = self._dialogues
... | python | def _match_dialog(self, query, dialogues=None):
"""Tries to match in dialogues
:param query: message tuple
:type query: Tuple[bytes]
:return: response if found or None
:rtype: Tuple[bytes] | None
"""
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pyvisa/pyvisa-sim | pyvisa-sim/component.py | Component._match_getters | def _match_getters(self, query, getters=None):
"""Tries to match in getters
:param query: message tuple
:type query: Tuple[bytes]
:return: response if found or None
:rtype: Tuple[bytes] | None
"""
if getters is None:
getters = self._getters
i... | python | def _match_getters(self, query, getters=None):
"""Tries to match in getters
:param query: message tuple
:type query: Tuple[bytes]
:return: response if found or None
:rtype: Tuple[bytes] | None
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pyvisa/pyvisa-sim | pyvisa-sim/component.py | Component._match_setters | def _match_setters(self, query):
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:type query: Tuple[bytes]
:return: response if found or None
:rtype: Tuple[bytes] | None
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for name, parser, response, error_response in ... | python | def _match_setters(self, query):
"""Tries to match in setters
:param query: message tuple
:type query: Tuple[bytes]
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:rtype: Tuple[bytes] | None
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pyvisa/pyvisa-sim | pyvisa-sim/devices.py | Device.add_error_handler | def add_error_handler(self, error_input):
"""Add error handler to the device
"""
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cerr = error_response.get('command_error', NoResponse)
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"""Add error handler to the device
"""
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pyvisa/pyvisa-sim | pyvisa-sim/devices.py | Device.add_eom | def add_eom(self, type_class, query_termination, response_termination):
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:param type_class: interface type and resource class as strings joined by space
:param query_termination: end of message used in queries.
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pyvisa/pyvisa-sim | pyvisa-sim/devices.py | Device.write | def write(self, data):
"""Write data into the device input buffer.
:param data: single element byte
:type data: bytes
"""
logger.debug('Writing into device input buffer: %r' % data)
if not isinstance(data, bytes):
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"""Write data into the device input buffer.
:param data: single element byte
:type data: bytes
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pyvisa/pyvisa-sim | pyvisa-sim/devices.py | Device.read | def read(self):
"""Return a single byte from the output buffer
"""
if self._output_buffer:
b, self._output_buffer = (self._output_buffer[0:1],
self._output_buffer[1:])
return b
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"""Return a single byte from the output buffer
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pyvisa/pyvisa-sim | pyvisa-sim/devices.py | Device._match | def _match(self, query):
"""Tries to match in dialogues, getters and setters and subcomponents
:param query: message tuple
:type query: Tuple[bytes]
:return: response if found or None
:rtype: Tuple[bytes] | None
"""
response = self._match_dialog(query)
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pyvisa/pyvisa-sim | pyvisa-sim/devices.py | Device._match_registers | def _match_registers(self, query):
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:type query: Tuple[bytes]
:return: response if found or None
:rtype: Tuple[bytes] | None
"""
if query in self._status_registers:
register = self._stat... | python | def _match_registers(self, query):
"""Tries to match in status registers
:param query: message tuple
:type query: Tuple[bytes]
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:rtype: Tuple[bytes] | None
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pyvisa/pyvisa-sim | pyvisa-sim/devices.py | Device._match_errors_queues | def _match_errors_queues(self, query):
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:param query: message tuple
:type query: Tuple[bytes]
:return: response if found or None
:rtype: Tuple[bytes] | None
"""
if query in self._error_queues:
queue = self._error_queue... | python | def _match_errors_queues(self, query):
"""Tries to match in error queues
:param query: message tuple
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:rtype: Tuple[bytes] | None
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pyvisa/pyvisa-sim | pyvisa-sim/devices.py | Devices.add_device | def add_device(self, resource_name, device):
"""Bind device to resource name
"""
if device.resource_name is not None:
msg = 'The device %r is already assigned to %s'
raise ValueError(msg % (device, device.resource_name))
device.resource_name = resource_name
... | python | def add_device(self, resource_name, device):
"""Bind device to resource name
"""
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raise ValueError(msg % (device, device.resource_name))
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percipient/django-querysetsequence | queryset_sequence/pagination.py | SequenceCursorPagination.get_ordering | def get_ordering(self, *args, **kwargs):
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percipient/django-querysetsequence | queryset_sequence/pagination.py | SequenceCursorPagination._get_position_from_instance | def _get_position_from_instance(self, instance, ordering):
"""
The position will be a tuple of values:
The QuerySet number inside of the QuerySetSequence.
Whatever the normal value taken from the ordering property gives.
"""
# Get the QuerySet number of the curr... | python | def _get_position_from_instance(self, instance, ordering):
"""
The position will be a tuple of values:
The QuerySet number inside of the QuerySetSequence.
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percipient/django-querysetsequence | queryset_sequence/pagination.py | SequenceCursorPagination.decode_cursor | def decode_cursor(self, request):
"""
Given a request with a cursor, return a `Cursor` instance.
Differs from the standard CursorPagination to handle a tuple in the
position field.
"""
# Determine if we have a cursor, and if so then decode it.
encoded = request.q... | python | def decode_cursor(self, request):
"""
Given a request with a cursor, return a `Cursor` instance.
Differs from the standard CursorPagination to handle a tuple in the
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"""
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percipient/django-querysetsequence | queryset_sequence/__init__.py | multiply_iterables | def multiply_iterables(it1, it2):
"""
Element-wise iterables multiplications.
"""
assert len(it1) == len(it2),\
"Can not element-wise multiply iterables of different length."
return list(map(mul, it1, it2)) | python | def multiply_iterables(it1, it2):
"""
Element-wise iterables multiplications.
"""
assert len(it1) == len(it2),\
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percipient/django-querysetsequence | queryset_sequence/__init__.py | ComparatorMixin._cmp | def _cmp(cls, value1, value2):
"""
Comparison method that takes into account Django's special rules when
ordering by a field that is a model:
1. Try following the default ordering on the related model.
2. Order by the model's primary key, if there is no Meta.ordering.
... | python | def _cmp(cls, value1, value2):
"""
Comparison method that takes into account Django's special rules when
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1. Try following the default ordering on the related model.
2. Order by the model's primary key, if there is no Meta.ordering.
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percipient/django-querysetsequence | queryset_sequence/__init__.py | ComparatorMixin._generate_comparator | def _generate_comparator(cls, field_names):
"""
Construct a comparator function based on the field names. The comparator
returns the first non-zero comparison value.
Inputs:
field_names (iterable of strings): The field names to sort on.
Returns:
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"""
Construct a comparator function based on the field names. The comparator
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field_names (iterable of strings): The field names to sort on.
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percipient/django-querysetsequence | queryset_sequence/__init__.py | QuerySequenceIterable._ordered_iterator | def _ordered_iterator(self):
"""
Interleave the values of each QuerySet in order to handle the requested
ordering. Also adds the '#' property to each returned item.
"""
# A list of tuples, each with:
# * The iterable
# * The QuerySet number
# * The n... | python | def _ordered_iterator(self):
"""
Interleave the values of each QuerySet in order to handle the requested
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percipient/django-querysetsequence | queryset_sequence/__init__.py | QuerySequenceIterable._unordered_iterator | def _unordered_iterator(self):
"""
Return the value of each QuerySet, but also add the '#' property to each
return item.
"""
for i, qs in zip(self._queryset_idxs, self._querysets):
for item in qs:
setattr(item, '#', i)
yield item | python | def _unordered_iterator(self):
"""
Return the value of each QuerySet, but also add the '#' property to each
return item.
"""
for i, qs in zip(self._queryset_idxs, self._querysets):
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setattr(item, '#', i)
yield item | [
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percipient/django-querysetsequence | queryset_sequence/__init__.py | QuerySetSequence._filter_or_exclude_querysets | def _filter_or_exclude_querysets(self, negate, **kwargs):
"""
Similar to QuerySet._filter_or_exclude, but run over the QuerySets in
the QuerySetSequence instead of over each QuerySet's fields.
"""
# Ensure negate is a boolean.
negate = bool(negate)
for kwarg, val... | python | def _filter_or_exclude_querysets(self, negate, **kwargs):
"""
Similar to QuerySet._filter_or_exclude, but run over the QuerySets in
the QuerySetSequence instead of over each QuerySet's fields.
"""
# Ensure negate is a boolean.
negate = bool(negate)
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