Update the picamera tuning file utilities to not modify the dictionaries in place
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93ff7999f5
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815b112069
2 changed files with 51 additions and 27 deletions
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@ -730,7 +730,7 @@ class StreamingPiCamera2(BaseCamera):
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# luminance (L), red-difference chroma (Cr), and blue-difference chroma
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# (Cb).
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L, Cr, Cb = recalibrate_utils.lst_from_camera(cam, self._sensor_info) # noqa: N806
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tf_utils.set_static_lst(self.tuning, L, Cr, Cb)
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self.tuning = tf_utils.set_static_lst(self.tuning, L, Cr, Cb)
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# Re-initialise the picamera to reload the tuning file.
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self._initialise_picamera()
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@ -760,7 +760,7 @@ class StreamingPiCamera2(BaseCamera):
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self,
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value: tuple[float, float, float, float, float, float, float, float, float],
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) -> None:
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tf_utils.set_static_ccm(self.tuning, value)
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self.tuning = tf_utils.set_static_ccm(self.tuning, value)
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if self._picamera is not None:
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with self._streaming_picamera(pause_stream=True):
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@ -813,7 +813,7 @@ class StreamingPiCamera2(BaseCamera):
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A value of 0 here does nothing, a value of 65535 is maximum correction.
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"""
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with self._streaming_picamera(pause_stream=True):
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tf_utils.set_static_geq(self.tuning, offset)
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self.tuning = tf_utils.set_static_geq(self.tuning, offset)
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self._initialise_picamera()
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@lt.thing_action
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@ -824,7 +824,7 @@ class StreamingPiCamera2(BaseCamera):
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of view, causing inconsistent settings when capturing.
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"""
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with self._streaming_picamera(pause_stream=True):
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tf_utils.set_ce_to_disabled(self.tuning)
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self.tuning = tf_utils.set_ce_to_disabled(self.tuning)
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self._initialise_picamera()
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@lt.thing_action
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@ -863,7 +863,9 @@ class StreamingPiCamera2(BaseCamera):
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with self._streaming_picamera(pause_stream=True):
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# Generate and array of ones of the correct size for each channel
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flat_array = np.ones((12, 16))
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tf_utils.set_static_lst(self.tuning, flat_array, flat_array, flat_array)
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self.tuning = tf_utils.set_static_lst(
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self.tuning, flat_array, flat_array, flat_array
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)
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self._initialise_picamera()
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@lt.thing_property
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@ -985,7 +987,7 @@ class StreamingPiCamera2(BaseCamera):
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def lens_shading_tables(self, lst: LensShading) -> None:
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"""Set the lens shading tables."""
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with self._streaming_picamera(pause_stream=True):
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tf_utils.set_static_lst(
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self.tuning = tf_utils.set_static_lst(
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self.tuning,
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luminance=lst.luminance,
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cr=lst.Cr,
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@ -1005,7 +1007,7 @@ class StreamingPiCamera2(BaseCamera):
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alsc = self.get_tuning_algo("rpi.alsc")
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luminance = alsc["luminance_lut"]
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flat = np.ones((12, 16))
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tf_utils.set_static_lst(self.tuning, luminance, flat, flat)
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self.tuning = tf_utils.set_static_lst(self.tuning, luminance, flat, flat)
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self._initialise_picamera()
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@lt.thing_action
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@ -1016,7 +1018,9 @@ class StreamingPiCamera2(BaseCamera):
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by the Raspberry Pi camera.
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"""
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with self._streaming_picamera(pause_stream=True):
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tf_utils.copy_alsc_section(self.default_tuning, self.tuning)
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self.tuning = tf_utils.copy_tuning_with_alsc_section_from_other(
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base_tuning_file=self.tuning, copy_alsc_from=self.default_tuning
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)
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self._initialise_picamera()
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@lt.thing_property
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@ -4,6 +4,8 @@ The functions that edit the tuning files edit them in place. This will change in
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the future.
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"""
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from copy import deepcopy
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from picamera2 import Picamera2
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import numpy as np
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@ -31,16 +33,17 @@ def set_static_lst(
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luminance: np.ndarray,
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cr: np.ndarray,
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cb: np.ndarray,
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) -> None:
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) -> dict:
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"""Update the ``rpi.alsc`` section of a camera tuning dict to use a static correction.
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``tuning`` will be updated in-place to set its shading to static, and disable any
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adaptive tweaking by the algorithm.
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"""
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output_tuning = deepcopy(tuning)
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for table in luminance, cr, cb:
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if np.array(table).shape != (12, 16):
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raise ValueError("Lens shading tables must be 12x16!")
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alsc = Picamera2.find_tuning_algo(tuning, "rpi.alsc")
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alsc = Picamera2.find_tuning_algo(output_tuning, "rpi.alsc")
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alsc["n_iter"] = 0 # disable the adaptive part
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alsc["luminance_strength"] = 1.0
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alsc["calibrations_Cr"] = [
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@ -50,6 +53,7 @@ def set_static_lst(
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{"ct": 4500, "table": _as_flat_rounded_list(cb, round_to=3)}
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]
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alsc["luminance_lut"] = _as_flat_rounded_list(luminance, round_to=3)
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return output_tuning
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def set_static_ccm(
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@ -57,20 +61,22 @@ def set_static_ccm(
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col_corr_matrix: tuple[
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float, float, float, float, float, float, float, float, float
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],
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) -> None:
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) -> dict:
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"""Update the ``rpi.alsc`` section of a camera tuning dict to use a static correction.
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``tuning`` will be updated in-place to set its shading to static, and disable any
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adaptive tweaking by the algorithm.
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"""
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ccm = Picamera2.find_tuning_algo(tuning, "rpi.ccm")
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output_tuning = deepcopy(tuning)
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ccm = Picamera2.find_tuning_algo(output_tuning, "rpi.ccm")
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ccm["ccms"] = [{"ct": 5000, "ccm": col_corr_matrix}]
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return output_tuning
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def get_static_ccm(tuning: dict) -> None:
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"""Get the ``rpi.ccm`` section of a camera tuning dict."""
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"""Get a copy of the the ``rpi.ccm`` section of a camera tuning dict."""
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ccm = Picamera2.find_tuning_algo(tuning, "rpi.ccm")
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return ccm["ccms"]
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return deepcopy(ccm["ccms"])
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def lst_is_static(tuning: dict) -> bool:
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@ -82,7 +88,7 @@ def lst_is_static(tuning: dict) -> bool:
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def set_static_geq(
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tuning: dict,
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offset: int = 65535,
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) -> None:
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) -> dict:
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"""Update the ``rpi.geq`` section of a camera tuning dict.
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:param tuning: the raspberry pi tuning file. This will be updated in-place to
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@ -94,8 +100,11 @@ def set_static_geq(
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chief ray angle compensation issue when the the stock lens is replaced by an
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objective.
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"""
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geq = Picamera2.find_tuning_algo(tuning, "rpi.geq")
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geq["offset"] = offset # max out offset to disable the adaptive green equalisation
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output_tuning = deepcopy(tuning)
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geq = Picamera2.find_tuning_algo(output_tuning, "rpi.geq")
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# max out offset to disable the adaptive green equalisation
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geq["offset"] = offset
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return output_tuning
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def geq_is_static(tuning: dict) -> bool:
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@ -106,14 +115,16 @@ def geq_is_static(tuning: dict) -> bool:
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def set_ce_to_disabled(
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tuning: dict,
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) -> None:
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) -> dict:
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"""Set ``ce_enable`` in ``rpi.contrast`` to zero to disable adaptive contrast enhancement.
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:param tuning: the raspberry pi tuning file. This will be updated in-place to
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set ce_enable to 0.
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:param tuning: The raspberry pi tuning file.
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:returns: A deepcopu of the input file set ce_enable to 0.
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"""
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contrast = Picamera2.find_tuning_algo(tuning, "rpi.contrast")
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output_tuning = deepcopy(tuning)
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contrast = Picamera2.find_tuning_algo(output_tuning, "rpi.contrast")
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contrast["ce_enable"] = 0
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return output_tuning
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def ce_enable_is_static(tuning: dict) -> bool:
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@ -122,16 +133,25 @@ def ce_enable_is_static(tuning: dict) -> bool:
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return contrast["ce_enable"] == 0
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def copy_alsc_section(from_tuning: dict, to_tuning: dict) -> None:
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"""Copy the ``rpi.alsc`` algorithm from one tuning to another.
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def copy_tuning_with_alsc_section_from_other(
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*, base_tuning_file: dict, copy_alsc_from: dict
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) -> dict:
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"""Return a copy of tuning_file with the lens shading correction from another file.
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This is done in-place, i.e. modifying to_tuning.
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All parameters are keyword only for clarity.
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:param base_tuning_file: The tuning file to copy.
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:param copy_alsc_from: The tuning file to take the alsc section from.
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:return: A deep copy of base_tuning_file with the alsc section copied in from the
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other tuning file.
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"""
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output_tuning = deepcopy(base_tuning_file)
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# Using Picamera2 function to find the relevant sub-dict for each tuning file
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from_i = _index_of_algorithm(from_tuning["algorithms"], "rpi.alsc")
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to_i = _index_of_algorithm(to_tuning["algorithms"], "rpi.alsc")
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from_i = _index_of_algorithm(copy_alsc_from["algorithms"], "rpi.alsc")
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to_i = _index_of_algorithm(base_tuning_file["algorithms"], "rpi.alsc")
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# Updating the dictionary in place.
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to_tuning["algorithms"][to_i] = from_tuning["algorithms"][from_i]
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output_tuning["algorithms"][to_i] = deepcopy(copy_alsc_from["algorithms"][from_i])
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return output_tuning
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def _index_of_algorithm(algorithms: list[dict], algorithm: str) -> int:
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