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authorNiklas Söderlund <niklas.soderlund@ragnatech.se>2020-08-11 01:07:37 +0200
committerNiklas Söderlund <niklas.soderlund@ragnatech.se>2020-08-14 13:19:15 +0200
commit27869c5f649c4b524e142014be073b40230ecbc4 (patch)
treece805806bd6c9166e6892887b292109616073b06
parentdac8e9552ccdff137e717270468e584c2a9895b9 (diff)
libcamera: request: Make Stream pointer const
The Stream pointer just acts as a key in the Request object. There is no good use-case to modify a stream from a pointer retrieved from the Request, make it const. This allows pipeline handlers to better express that the Stream pointer is retrieved in a Request should just be treated as a key. Signed-off-by: Niklas Söderlund <niklas.soderlund@ragnatech.se> Reviewed-by: Kieran Bingham <kieran.bingham@ideasonboard.com>
-rw-r--r--include/libcamera/request.h6
-rw-r--r--src/cam/capture.cpp4
-rw-r--r--src/cam/capture.h2
-rw-r--r--src/libcamera/camera.cpp4
-rw-r--r--src/libcamera/pipeline/ipu3/ipu3.cpp2
-rw-r--r--src/libcamera/request.cpp6
-rw-r--r--src/qcam/main_window.h2
-rw-r--r--test/camera/buffer_import.cpp2
-rw-r--r--test/camera/capture.cpp2
9 files changed, 15 insertions, 15 deletions
diff --git a/include/libcamera/request.h b/include/libcamera/request.h
index e74f56a7..5976ac50 100644
--- a/include/libcamera/request.h
+++ b/include/libcamera/request.h
@@ -31,7 +31,7 @@ public:
RequestCancelled,
};
- using BufferMap = std::map<Stream *, FrameBuffer *>;
+ using BufferMap = std::map<const Stream *, FrameBuffer *>;
Request(Camera *camera, uint64_t cookie = 0);
Request(const Request &) = delete;
@@ -41,8 +41,8 @@ public:
ControlList &controls() { return *controls_; }
ControlList &metadata() { return *metadata_; }
const BufferMap &buffers() const { return bufferMap_; }
- int addBuffer(Stream *stream, FrameBuffer *buffer);
- FrameBuffer *findBuffer(Stream *stream) const;
+ int addBuffer(const Stream *stream, FrameBuffer *buffer);
+ FrameBuffer *findBuffer(const Stream *stream) const;
uint64_t cookie() const { return cookie_; }
Status status() const { return status_; }
diff --git a/src/cam/capture.cpp b/src/cam/capture.cpp
index 07203769..af9029b7 100644
--- a/src/cam/capture.cpp
+++ b/src/cam/capture.cpp
@@ -169,7 +169,7 @@ void Capture::requestComplete(Request *request)
info << "fps: " << std::fixed << std::setprecision(2) << fps;
for (auto it = buffers.begin(); it != buffers.end(); ++it) {
- Stream *stream = it->first;
+ const Stream *stream = it->first;
FrameBuffer *buffer = it->second;
const std::string &name = streamName_[stream];
@@ -209,7 +209,7 @@ void Capture::requestComplete(Request *request)
}
for (auto it = buffers.begin(); it != buffers.end(); ++it) {
- Stream *stream = it->first;
+ const Stream *stream = it->first;
FrameBuffer *buffer = it->second;
request->addBuffer(stream, buffer);
diff --git a/src/cam/capture.h b/src/cam/capture.h
index 32940a2a..b4e39d51 100644
--- a/src/cam/capture.h
+++ b/src/cam/capture.h
@@ -36,7 +36,7 @@ private:
std::shared_ptr<libcamera::Camera> camera_;
libcamera::CameraConfiguration *config_;
- std::map<libcamera::Stream *, std::string> streamName_;
+ std::map<const libcamera::Stream *, std::string> streamName_;
BufferWriter *writer_;
std::chrono::steady_clock::time_point last_;
diff --git a/src/libcamera/camera.cpp b/src/libcamera/camera.cpp
index 820fa1e3..afdd4775 100644
--- a/src/libcamera/camera.cpp
+++ b/src/libcamera/camera.cpp
@@ -279,7 +279,7 @@ public:
std::shared_ptr<PipelineHandler> pipe_;
std::string id_;
std::set<Stream *> streams_;
- std::set<Stream *> activeStreams_;
+ std::set<const Stream *> activeStreams_;
private:
bool disconnected_;
@@ -889,7 +889,7 @@ int Camera::queueRequest(Request *request)
}
for (auto const &it : request->buffers()) {
- Stream *stream = it.first;
+ const Stream *stream = it.first;
if (p_->activeStreams_.find(stream) == p_->activeStreams_.end()) {
LOG(Camera, Error) << "Invalid request";
diff --git a/src/libcamera/pipeline/ipu3/ipu3.cpp b/src/libcamera/pipeline/ipu3/ipu3.cpp
index d931ed33..019e50b8 100644
--- a/src/libcamera/pipeline/ipu3/ipu3.cpp
+++ b/src/libcamera/pipeline/ipu3/ipu3.cpp
@@ -663,7 +663,7 @@ int PipelineHandlerIPU3::queueRequestDevice(Camera *camera, Request *request)
/* Queue all buffers from the request aimed for the ImgU. */
for (auto it : request->buffers()) {
- Stream *stream = static_cast<Stream *>(it.first);
+ const Stream *stream = it.first;
FrameBuffer *buffer = it.second;
int ret;
diff --git a/src/libcamera/request.cpp b/src/libcamera/request.cpp
index d5f11e8c..60b30692 100644
--- a/src/libcamera/request.cpp
+++ b/src/libcamera/request.cpp
@@ -127,7 +127,7 @@ Request::~Request()
* \retval -EEXIST The request already contains a buffer for the stream
* \retval -EINVAL The buffer does not reference a valid Stream
*/
-int Request::addBuffer(Stream *stream, FrameBuffer *buffer)
+int Request::addBuffer(const Stream *stream, FrameBuffer *buffer)
{
if (!stream) {
LOG(Request, Error) << "Invalid stream reference";
@@ -162,9 +162,9 @@ int Request::addBuffer(Stream *stream, FrameBuffer *buffer)
* \return The buffer associated with the stream, or nullptr if the stream is
* not part of this request
*/
-FrameBuffer *Request::findBuffer(Stream *stream) const
+FrameBuffer *Request::findBuffer(const Stream *stream) const
{
- auto it = bufferMap_.find(stream);
+ const auto it = bufferMap_.find(stream);
if (it == bufferMap_.end())
return nullptr;
diff --git a/src/qcam/main_window.h b/src/qcam/main_window.h
index 6e1bcd76..3d21779e 100644
--- a/src/qcam/main_window.h
+++ b/src/qcam/main_window.h
@@ -126,7 +126,7 @@ private:
bool captureRaw_;
Stream *vfStream_;
Stream *rawStream_;
- std::map<Stream *, QQueue<FrameBuffer *>> freeBuffers_;
+ std::map<const Stream *, QQueue<FrameBuffer *>> freeBuffers_;
QQueue<CaptureRequest> doneQueue_;
QMutex mutex_; /* Protects freeBuffers_ and doneQueue_ */
diff --git a/test/camera/buffer_import.cpp b/test/camera/buffer_import.cpp
index 726d2cb2..97a85827 100644
--- a/test/camera/buffer_import.cpp
+++ b/test/camera/buffer_import.cpp
@@ -51,7 +51,7 @@ protected:
completeRequestsCount_++;
/* Create a new request. */
- Stream *stream = buffers.begin()->first;
+ const Stream *stream = buffers.begin()->first;
FrameBuffer *buffer = buffers.begin()->second;
request = camera_->createRequest();
diff --git a/test/camera/capture.cpp b/test/camera/capture.cpp
index ae572eb9..0fe3bf9b 100644
--- a/test/camera/capture.cpp
+++ b/test/camera/capture.cpp
@@ -44,7 +44,7 @@ protected:
completeRequestsCount_++;
/* Create a new request. */
- Stream *stream = buffers.begin()->first;
+ const Stream *stream = buffers.begin()->first;
FrameBuffer *buffer = buffers.begin()->second;
request = camera_->createRequest();
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#!/usr/bin/env python3
#
# SPDX-License-Identifier: BSD-2-Clause
#
# Copyright (C) 2019, Raspberry Pi Ltd
#
# ctt.py - camera tuning tool

import os
import sys
from ctt_image_load import *
from ctt_ccm import *
from ctt_awb import *
from ctt_alsc import *
from ctt_lux import *
from ctt_noise import *
from ctt_geq import *
from ctt_pretty_print_json import pretty_print
import random
import json
import re

"""
This file houses the camera object, which is used to perform the calibrations.
The camera object houses all the calibration images as attributes in two lists:
    - imgs (macbeth charts)
    - imgs_alsc (alsc correction images)
Various calibrations are methods of the camera object, and the output is stored
in a dictionary called self.json.
Once all the caibration has been completed, the Camera.json is written into a
json file.
The camera object initialises its json dictionary by reading from a pre-written
blank json file. This has been done to avoid reproducing the entire json file
in the code here, thereby avoiding unecessary clutter.
"""


"""
Get the colour and lux values from the strings of each inidvidual image
"""
def get_col_lux(string):
    """
    Extract colour and lux values from filename
    """
    col = re.search(r'([0-9]+)[kK](\.(jpg|jpeg|brcm|dng)|_.*\.(jpg|jpeg|brcm|dng))$', string)
    lux = re.search(r'([0-9]+)[lL](\.(jpg|jpeg|brcm|dng)|_.*\.(jpg|jpeg|brcm|dng))$', string)
    try:
        col = col.group(1)
    except AttributeError:
        """
        Catch error if images labelled incorrectly and pass reasonable defaults
        """
        return None, None
    try:
        lux = lux.group(1)
    except AttributeError:
        """
        Catch error if images labelled incorrectly and pass reasonable defaults
        Still returns colour if that has been found.
        """
        return col, None
    return int(col), int(lux)


"""
Camera object that is the backbone of the tuning tool.
Input is the desired path of the output json.
"""
class Camera:
    def __init__(self, jfile):
        self.path = os.path.dirname(os.path.expanduser(__file__)) + '/'
        if self.path == '/':
            self.path = ''
        self.imgs = []
        self.imgs_alsc = []
        self.log = 'Log created : ' + time.asctime(time.localtime(time.time()))
        self.log_separator = '\n'+'-'*70+'\n'
        self.jf = jfile
        """
        initial json dict populated by uncalibrated values
        """
        self.json = {
            "rpi.black_level": {
                "black_level": 4096
            },
            "rpi.dpc": {
            },
            "rpi.lux": {
                "reference_shutter_speed": 10000,
                "reference_gain": 1,
                "reference_aperture": 1.0
            },
            "rpi.noise": {
            },
            "rpi.geq": {
            },
            "rpi.sdn": {
            },
            "rpi.awb": {
                "priors": [
                    {"lux": 0, "prior": [2000, 1.0, 3000, 0.0, 13000, 0.0]},
                    {"lux": 800, "prior": [2000, 0.0, 6000, 2.0, 13000, 2.0]},
                    {"lux": 1500, "prior": [2000, 0.0, 4000, 1.0, 6000, 6.0, 6500, 7.0, 7000, 1.0, 13000, 1.0]}
                ],
                "modes": {
                    "auto": {"lo": 2500, "hi": 8000},
                    "incandescent": {"lo": 2500, "hi": 3000},
                    "tungsten": {"lo": 3000, "hi": 3500},
                    "fluorescent": {"lo": 4000, "hi": 4700},
                    "indoor": {"lo": 3000, "hi": 5000},
                    "daylight": {"lo": 5500, "hi": 6500},
                    "cloudy": {"lo": 7000, "hi": 8600}
                },
                "bayes": 1
            },
            "rpi.agc": {
                "metering_modes": {
                    "centre-weighted": {
                        "weights": [3, 3, 3, 2, 2, 2, 2, 1, 1, 1, 1, 0, 0, 0, 0]
                    },
                    "spot": {
                        "weights": [2, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
                    },
                    "matrix": {
                        "weights": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
                    }
                },
                "exposure_modes": {
                    "normal": {
                        "shutter": [100, 10000, 30000, 60000, 120000],
                        "gain": [1.0, 2.0, 4.0, 6.0, 6.0]
                    },
                    "short": {
                        "shutter": [100, 5000, 10000, 20000, 120000],
                        "gain": [1.0, 2.0, 4.0, 6.0, 6.0]
                    }
                },
                "constraint_modes": {
                    "normal": [
                        {"bound": "LOWER", "q_lo": 0.98, "q_hi": 1.0, "y_target": [0, 0.5, 1000, 0.5]}
                    ],
                    "highlight": [
                        {"bound": "LOWER", "q_lo": 0.98, "q_hi": 1.0, "y_target": [0, 0.5, 1000, 0.5]},
                        {"bound": "UPPER", "q_lo": 0.98, "q_hi": 1.0, "y_target": [0, 0.8, 1000, 0.8]}
                    ]
                },
                "y_target": [0, 0.16, 1000, 0.165, 10000, 0.17]
            },
            "rpi.alsc": {
                'omega': 1.3,
                'n_iter': 100,
                'luminance_strength': 0.7,
            },
            "rpi.contrast": {
                "ce_enable": 1,
                "gamma_curve": [
                    0,     0,
                    1024,  5040,
                    2048,  9338,
                    3072,  12356,
                    4096,  15312,
                    5120,  18051,
                    6144,  20790,
                    7168,  23193,
                    8192,  25744,
                    9216,  27942,
                    10240, 30035,
                    11264, 32005,
                    12288, 33975,
                    13312, 35815,
                    14336, 37600,
                    15360, 39168,
                    16384, 40642,
                    18432, 43379,
                    20480, 45749,
                    22528, 47753,
                    24576, 49621,
                    26624, 51253,
                    28672, 52698,
                    30720, 53796,
                    32768, 54876,
                    36864, 57012,
                    40960, 58656,
                    45056, 59954,
                    49152, 61183,
                    53248, 62355,
                    57344, 63419,
                    61440, 64476,
                    65535, 65535
                ]
            },
            "rpi.ccm": {
            },
            "rpi.sharpen": {
            }
        }

    """
    Perform colour correction calibrations by comparing macbeth patch colours
    to standard macbeth chart colours.
    """
    def ccm_cal(self, do_alsc_colour):
        if 'rpi.ccm' in self.disable:
            return 1
        print('\nStarting CCM calibration')
        self.log_new_sec('CCM')
        """
        if image is greyscale then CCm makes no sense
        """
        if self.grey:
            print('\nERROR: Can\'t do CCM on greyscale image!')
            self.log += '\nERROR: Cannot perform CCM calibration '
            self.log += 'on greyscale image!\nCCM aborted!'
            del self.json['rpi.ccm']
            return 0
        a = time.time()
        """
        Check if alsc tables have been generated, if not then do ccm without
        alsc
        """
        if ("rpi.alsc" not in self.disable) and do_alsc_colour:
            """
            case where ALSC colour has been done, so no errors should be
            expected...
            """
            try:
                cal_cr_list = self.json['rpi.alsc']['calibrations_Cr']
                cal_cb_list = self.json['rpi.alsc']['calibrations_Cb']
                self.log += '\nALSC tables found successfully'
            except KeyError:
                cal_cr_list, cal_cb_list = None, None
                print('WARNING! No ALSC tables found for CCM!')
                print('Performing CCM calibrations without ALSC correction...')
                self.log += '\nWARNING: No ALSC tables found.\nCCM calibration '
                self.log += 'performed without ALSC correction...'
        else:
            """
            case where config options result in CCM done without ALSC colour tables
            """
            cal_cr_list, cal_cb_list = None, None
            self.log += '\nWARNING: No ALSC tables found.\nCCM calibration '
            self.log += 'performed without ALSC correction...'

        """
        Do CCM calibration
        """
        try:
            ccms = ccm(self, cal_cr_list, cal_cb_list)
        except ArithmeticError:
            print('ERROR: Matrix is singular!\nTake new pictures and try again...')
            self.log += '\nERROR: Singular matrix encountered during fit!'
            self.log += '\nCCM aborted!'
            return 1
        """
        Write output to json
        """
        self.json['rpi.ccm']['ccms'] = ccms
        self.log += '\nCCM calibration written to json file'
        print('Finished CCM calibration')

    """
    Auto white balance calibration produces a colour curve for
    various colour temperatures, as well as providing a maximum 'wiggle room'
    distance from this curve (transverse_neg/pos).
    """
    def awb_cal(self, greyworld, do_alsc_colour):
        if 'rpi.awb' in self.disable:
            return 1
        print('\nStarting AWB calibration')
        self.log_new_sec('AWB')
        """
        if image is greyscale then AWB makes no sense
        """
        if self.grey:
            print('\nERROR: Can\'t do AWB on greyscale image!')
            self.log += '\nERROR: Cannot perform AWB calibration '
            self.log += 'on greyscale image!\nAWB aborted!'
            del self.json['rpi.awb']
            return 0
        """
        optional set greyworld (e.g. for noir cameras)
        """
        if greyworld:
            self.json['rpi.awb']['bayes'] = 0
            self.log += '\nGreyworld set'
        """
        Check if alsc tables have been generated, if not then do awb without
        alsc correction
        """
        if ("rpi.alsc" not in self.disable) and do_alsc_colour:
            try:
                cal_cr_list = self.json['rpi.alsc']['calibrations_Cr']
                cal_cb_list = self.json['rpi.alsc']['calibrations_Cb']
                self.log += '\nALSC tables found successfully'
            except KeyError:
                cal_cr_list, cal_cb_list = None, None
                print('ERROR, no ALSC calibrations found for AWB')
                print('Performing AWB without ALSC tables')
                self.log += '\nWARNING: No ALSC tables found.\nAWB calibration '
                self.log += 'performed without ALSC correction...'
        else:
            cal_cr_list, cal_cb_list = None, None
            self.log += '\nWARNING: No ALSC tables found.\nAWB calibration '
            self.log += 'performed without ALSC correction...'
        """
        call calibration function
        """
        plot = "rpi.awb" in self.plot
        awb_out = awb(self, cal_cr_list, cal_cb_list, plot)
        ct_curve, transverse_neg, transverse_pos = awb_out
        """
        write output to json