Loading noctua/config/devices.ini +12 −7 Original line number Diff line number Diff line Loading @@ -6,13 +6,18 @@ # node = MY_NODE_NAME # You defined it in nodes.ini # ##################################################### [stage] module = mercury class = Stage node = DUMMY pos_imaging = 120 pos_spectro = 110 pos_echelle = 100 [teccam] module = mako class = Webcam node = MAKO # [stage] # module = mercury # class = Stage # node = DUMMY # pos_imaging = 120 # pos_spectro = 110 # pos_echelle = 100 # [pdu] # module = netio Loading noctua/devices/mako.py 0 → 100644 +263 −0 Original line number Diff line number Diff line #!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Driver for Allied Vision Mako cameras using VmbPy. """ # System modules import os import numpy as np from datetime import datetime # Third-party modules import cv2 from astropy.io import fits from vmbpy import VmbSystem, VmbCameraError, VmbFeatureError, Frame # Custom modules from .basedevice import BaseDevice class Mako(BaseDevice): """ Base wrapper class for Allied Vision Mako cameras. """ def __init__(self, url): """ Initialize the Mako camera device. Parameters ---------- url : str Camera IP address or Unique ID. """ super().__init__(url) self.id = url self.vmb = VmbSystem.get_instance() def get(self, feature_name): """ Get a specific camera feature value. Parameters ---------- feature_name : str The name of the Vimba feature to query. """ with self.vmb as vmb: with vmb.get_camera_by_id(self.id) as cam: feature = getattr(cam, feature_name) return feature.get() def put(self, feature_name, value): """ Set a specific camera feature value. Parameters ---------- feature_name : str The name of the Vimba feature to set. value : any The value to assign to the feature. """ with self.vmb as vmb: with vmb.get_camera_by_id(self.id) as cam: feature = getattr(cam, feature_name) feature.set(value) class Webcam(Mako): """ High-level interface for Mako cameras used as technical webcams. """ def __init__(self, url): """ Initialize the Webcam instance. Parameters ---------- url : str Camera IP address or Unique ID. """ super().__init__(url) self._streaming = False self._range = [0, 255] @property def streaming(self): """ Get the current streaming status. Returns ------- bool True if the camera is streaming, False otherwise. """ return self._streaming @streaming.setter def streaming(self, b): """ Start or stop camera streaming. Parameters ---------- b : bool True to start, False to stop. """ if b == self._streaming: return with self.vmb as vmb: with vmb.get_camera_by_id(self.id) as cam: if b: # Setup GigE packet size for stable stream try: stream = cam.get_streams()[0] stream.GVSPAdjustPacketSize.run() while not stream.GVSPAdjustPacketSize.is_done(): pass except (AttributeError, VmbFeatureError): pass # Start streaming with a dummy handler as we don't need frame processing cam.start_streaming(handler=lambda cam, stream, frame: cam.queue_frame(frame)) self._streaming = True else: cam.stop_streaming() self._streaming = False @property def image(self): """ Get a single frame from the camera. Returns ------- numpy.ndarray or None The image data, or None if streaming is active. """ if self._streaming: self.error = ["streaming is True. first stop it"] return None with self.vmb as vmb: with vmb.get_camera_by_id(self.id) as cam: frame = cam.get_frame() return frame.as_numpy_ndarray() def save_image(self, filename="temp.png"): """ Save a single frame as a PNG image. Parameters ---------- filename : str Output file path. """ data = self.image if data is None: return self.error # Rescale data to 8-bit using the defined range rescaled = np.clip(data, self._range[0], self._range[1]) rescaled = ((rescaled - self._range[0]) / (self._range[1] - self._range[0]) * 255).astype(np.uint8) cv2.imwrite(filename, rescaled) return filename def save_fits(self, filename=None): """ Save a single frame as a FITS file. Parameters ---------- filename : str, optional Output file path. """ data = self.image if data is None: return self.error if filename is None: filename = datetime.utcnow().strftime("%Y-%m-%dT%H_%M_%S.fits") hdu = fits.PrimaryHDU(data) hdu.writeto(filename, overwrite=True) return filename @property def range(self): """ Get the dynamic range limits for image conversion. Returns ------- list [min, max] values. """ return self._range @range.setter def range(self, r): """ Set the dynamic range limits for image conversion. Parameters ---------- r : list [min, max] values. """ self._range = r @property def white(self): """ Get the current white balance auto setting. Returns ------- str The white balance mode. """ return self.get("BalanceWhiteAuto") @white.setter def white(self, value): """ Set the white balance auto setting. Parameters ---------- value : str The mode ('Continuous', 'Off', 'Once'). """ self.put("BalanceWhiteAuto", value) Loading
noctua/config/devices.ini +12 −7 Original line number Diff line number Diff line Loading @@ -6,13 +6,18 @@ # node = MY_NODE_NAME # You defined it in nodes.ini # ##################################################### [stage] module = mercury class = Stage node = DUMMY pos_imaging = 120 pos_spectro = 110 pos_echelle = 100 [teccam] module = mako class = Webcam node = MAKO # [stage] # module = mercury # class = Stage # node = DUMMY # pos_imaging = 120 # pos_spectro = 110 # pos_echelle = 100 # [pdu] # module = netio Loading
noctua/devices/mako.py 0 → 100644 +263 −0 Original line number Diff line number Diff line #!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Driver for Allied Vision Mako cameras using VmbPy. """ # System modules import os import numpy as np from datetime import datetime # Third-party modules import cv2 from astropy.io import fits from vmbpy import VmbSystem, VmbCameraError, VmbFeatureError, Frame # Custom modules from .basedevice import BaseDevice class Mako(BaseDevice): """ Base wrapper class for Allied Vision Mako cameras. """ def __init__(self, url): """ Initialize the Mako camera device. Parameters ---------- url : str Camera IP address or Unique ID. """ super().__init__(url) self.id = url self.vmb = VmbSystem.get_instance() def get(self, feature_name): """ Get a specific camera feature value. Parameters ---------- feature_name : str The name of the Vimba feature to query. """ with self.vmb as vmb: with vmb.get_camera_by_id(self.id) as cam: feature = getattr(cam, feature_name) return feature.get() def put(self, feature_name, value): """ Set a specific camera feature value. Parameters ---------- feature_name : str The name of the Vimba feature to set. value : any The value to assign to the feature. """ with self.vmb as vmb: with vmb.get_camera_by_id(self.id) as cam: feature = getattr(cam, feature_name) feature.set(value) class Webcam(Mako): """ High-level interface for Mako cameras used as technical webcams. """ def __init__(self, url): """ Initialize the Webcam instance. Parameters ---------- url : str Camera IP address or Unique ID. """ super().__init__(url) self._streaming = False self._range = [0, 255] @property def streaming(self): """ Get the current streaming status. Returns ------- bool True if the camera is streaming, False otherwise. """ return self._streaming @streaming.setter def streaming(self, b): """ Start or stop camera streaming. Parameters ---------- b : bool True to start, False to stop. """ if b == self._streaming: return with self.vmb as vmb: with vmb.get_camera_by_id(self.id) as cam: if b: # Setup GigE packet size for stable stream try: stream = cam.get_streams()[0] stream.GVSPAdjustPacketSize.run() while not stream.GVSPAdjustPacketSize.is_done(): pass except (AttributeError, VmbFeatureError): pass # Start streaming with a dummy handler as we don't need frame processing cam.start_streaming(handler=lambda cam, stream, frame: cam.queue_frame(frame)) self._streaming = True else: cam.stop_streaming() self._streaming = False @property def image(self): """ Get a single frame from the camera. Returns ------- numpy.ndarray or None The image data, or None if streaming is active. """ if self._streaming: self.error = ["streaming is True. first stop it"] return None with self.vmb as vmb: with vmb.get_camera_by_id(self.id) as cam: frame = cam.get_frame() return frame.as_numpy_ndarray() def save_image(self, filename="temp.png"): """ Save a single frame as a PNG image. Parameters ---------- filename : str Output file path. """ data = self.image if data is None: return self.error # Rescale data to 8-bit using the defined range rescaled = np.clip(data, self._range[0], self._range[1]) rescaled = ((rescaled - self._range[0]) / (self._range[1] - self._range[0]) * 255).astype(np.uint8) cv2.imwrite(filename, rescaled) return filename def save_fits(self, filename=None): """ Save a single frame as a FITS file. Parameters ---------- filename : str, optional Output file path. """ data = self.image if data is None: return self.error if filename is None: filename = datetime.utcnow().strftime("%Y-%m-%dT%H_%M_%S.fits") hdu = fits.PrimaryHDU(data) hdu.writeto(filename, overwrite=True) return filename @property def range(self): """ Get the dynamic range limits for image conversion. Returns ------- list [min, max] values. """ return self._range @range.setter def range(self, r): """ Set the dynamic range limits for image conversion. Parameters ---------- r : list [min, max] values. """ self._range = r @property def white(self): """ Get the current white balance auto setting. Returns ------- str The white balance mode. """ return self.get("BalanceWhiteAuto") @white.setter def white(self, value): """ Set the white balance auto setting. Parameters ---------- value : str The mode ('Continuous', 'Off', 'Once'). """ self.put("BalanceWhiteAuto", value)
