Initial commit

This commit is contained in:
Joel Collins 2018-11-06 11:35:07 +00:00
commit 2f4f57a59b
16 changed files with 1509 additions and 0 deletions

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__version__ = "0.1.0"

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#!/usr/bin/env python
#TODO: Completely rewrite for new version of StreamingCamera
from pprint import pprint
from importlib import import_module
import time, datetime
from flask import Flask, render_template, Response, redirect, request, jsonify, send_file
#import yaml
import numpy as np
# Raspberry Pi camera module (requires picamera package)
#from camera.pi import Camera
from openflexure_microscope.camera.pi import StreamingCamera
app = Flask(__name__)
cam = StreamingCamera()
def parse_payload(request):
# TODO: Try-except for invalid JSON payloads
state = request.get_json()
return state
def gen(camera):
"""Video streaming generator function."""
while True:
# the obtained frame is a jpeg
frame = camera.get_frame()
yield (b'--frame\r\n'
b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n')
@app.route('/')
def index():
'''
Video streaming home page.
'''
cam.start_worker() # Start the stream
return render_template('index.html')
@app.route('/stream')
def stream():
'''
Video streaming route. Put this in the src attribute of an img tag.
'''
return Response(gen(cam), mimetype='multipart/x-mixed-replace; boundary=frame')
#TODO: Be able to change the image resolution with an option
@app.route('/capture/', methods=['GET', 'POST', 'PUT'])
def capture():
'''
POST/PUT: Capture a single image
GET: Return capture status, or download latest capture
Eg. curl http://192.168.1.140:5000/capture/ -H "Content-Type: application/json" -d '{"store":true}' -X POST
'''
if request.method == 'POST' or request.method == 'PUT':
state = parse_payload(request)
print(state)
# Handle filename argument
if 'filename' in state:
filename = state['filename']
else:
filename = None
if 'write_to_file' in state:
write_to_file = bool(state['write_to_file'])
else:
write_to_file = False
if 'use_video_port' in state:
use_video_port = bool(state['use_video_port'])
else:
use_video_port = False
if 'resize' in state:
resize_h = int(state['resize'])
resize_w = int(resize_h*(4/3))
resize = (resize_w, resize_h)
else:
resize = None
response = cam.capture(
write_to_file=write_to_file,
use_video_port=use_video_port,
filename=filename,
resize=resize)
return str(response) + "\n"
else: # If GET request
download = request.args.get('download')
state = cam.state
if (download == 'true' or download == 'True' or download =='1') and cam.image is not None:
return send_file(cam.image.data, mimetype='image/jpeg')
else:
return jsonify(state)
@app.route('/record/', methods=['GET', 'POST', 'PUT'])
def record():
'''
POST/PUT: Start or stop a video recording
GET: Return recording status, or download latest recording
Eg.
curl http://192.168.1.140:5000/record/ -H "Content-Type: application/json" -d '{"status":true}' -X POST
curl http://192.168.1.140:5000/record/ -H "Content-Type: application/json" -d '{"status":false}' -X POST
'''
if request.method == 'POST' or request.method == 'PUT':
state = request.get_json()
print(state)
# Handle filename argument
if 'filename' in state:
filename = state['filename']
else:
filename = None
# Handle status argument
if 'status' in state:
status = bool(state['status'])
# synchronise the arduino_time
if status == True:
response = cam.start_recording(filename=filename)
return str(response)
elif status == False:
response = cam.stop_recording()
return str(response)
else:
download = request.args.get('download')
state = cam.state
if (download == 'true' or download == 'True' or download =='1') and cam.state_record['recent'] is not None:
return send_file(cam.state_record['recent'],
mimetype='video/H264',
as_attachment=True)
else:
return jsonify(state)
@app.route('/preview/', methods=['GET', 'POST', 'PUT'])
def preview():
'''
POST/PUT: Start or stop the direct-to-GPU camera preview on the Pi
GET: Return preview status
'''
if request.method == 'POST' or request.method == 'PUT':
state = request.get_json()
print(state)
if 'status' in state:
status = bool(state['status'])
if status == False:
response = cam.stop_preview()
else:
response = cam.start_preview()
return str(response)
else:
# Get args passed via URL (not useful here. Just for reference.)
state = cam.state
return jsonify(state)
if __name__ == '__main__':
app.run(host='0.0.0.0', threaded=True, debug=True, use_reloader=False)

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<html>
<head>
<title>Video Streaming Demonstration</title>
</head>
<body>
<h1>Video Streaming Demonstration</h1>
<img src="{{ url_for('stream') }}">
</body>
</html>

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from . import pi, base

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import time
import os
import io
import threading
import copy
import datetime
from PIL import Image
try:
from greenlet import getcurrent as get_ident
except ImportError:
try:
from thread import get_ident
except ImportError:
from _thread import get_ident
# Slightly crappy debugger logging
DEBUG = True
def log(s):
if DEBUG:
print('DEBUG: {}'.format(s))
class StreamObject(object):
def __init__(self, write_to_file: bool=None, filename: str=None, folder: str=None, fmt: str='file') -> None:
# Store a nice ID
self.id = filename
log("Created {}".format(self.id))
# Create file name
self.file = self.build_file_path(filename, folder, fmt)
# Byte stream properties
self.stream = io.BytesIO() # Byte stream that data will be written to
# Set default write target
self.write_to_file = write_to_file
if self.write_to_file == False:
log("Default target for {} set to 'stream'".format(self.id))
self.target = self.stream
else:
log("Default target for {} set to 'file'".format(self.id))
self.target = self.file
# Object lock
self.locked = False # Is the StreamObject locked for writing? (Handled by StreamingCamera)
def __enter__(self):
log("Entering context for {}. Stored files will be cleaned up automatically.".format(self.id))
return self
def __exit__(self, *args):
log("Cleaning up {}".format(self.id))
self.delete()
def build_file_path(self, filename: str, folder: str, fmt: str) -> str:
"""
Construct a full file path, based on filename, folder, and file format. Defaults to datestamp
"""
if filename:
file_name = "{}.{}".format(filename, fmt)
else:
file_name = "{}.{}".format(datetime.datetime.now().strftime("%Y-%m-%d_%H-%M-%S"), fmt)
# Create folder and file
if folder:
if not os.path.exists(folder):
os.mkdir(folder)
file_path = os.path.join(folder, file_name)
else:
file_path = file_name
return file_path
def lock(self):
"""Set locked flag to True"""
self.locked = True
def unlock(self):
"""Set locked flag to False"""
self.locked = False
@property
def data(self) -> io.BytesIO:
"""Return a byte string of the capture data"""
self.stream.seek(0) # Rewind the data bytes for reading
if not self.stream.getvalue() and os.path.isfile(self.file): # If stream is empty but file is not
log("No stream data. Opening from file {}".format(self.file))
with open(self.file, 'rb') as f:
self.stream = io.BytesIO(f.read()) # Load bytes from file in disk
self.stream.seek(0) # Rewind data bytes again
data = self.stream.getbuffer() # Create a copy of the stream bytes
return io.BytesIO(data) # Read and return bytes data
@property
def binary(self) -> bytes:
"""Return a byte string of the capture data"""
return self.data.getvalue()
def save(self):
"""
Creates/opens a file, and writes this StreamObjects bytestring to the file.
"""
with open(self.file, 'ab') as f: # Load file as bytes
log("Writing stream to file {}".format(self.file))
f.seek(0, 0) # Seek to the start of the file
f.write(self.binary) # Write data bytes to file
def delete(self) -> bool:
"""
If the StreamObject has been saved to disk, deletes the file and returns True.
"""
if os.path.isfile(self.file):
log("Deleting file {}".format(self.file))
os.remove(self.file)
return True
else:
log("File not found {}".format(self.file))
return False
class CameraEvent(object):
"""An Event-like class that signals all active clients when a new frame is
available.
"""
def __init__(self):
self.events = {}
def wait(self, timeout: int=5):
"""Invoked from each client's thread to wait for the next frame."""
ident = get_ident()
if ident not in self.events:
# this is a new client
# add an entry for it in the self.events dict
# each entry has two elements, a threading.Event() and a timestamp
self.events[ident] = [threading.Event(), time.time()]
return self.events[ident][0].wait(timeout)
def set(self):
"""Invoked by the camera thread when a new frame is available."""
now = time.time()
remove = None
for ident, event in self.events.items():
if not event[0].isSet():
# if this client's event is not set, then set it
# also update the last set timestamp to now
event[0].set()
event[1] = now
else:
# if the client's event is already set, it means the client
# did not process a previous frame
# if the event stays set for more than 5 seconds, then assume
# the client is gone and remove it
if now - event[1] > 5:
remove = ident
if remove:
del self.events[remove]
def clear(self):
"""Invoked from each client's thread after a frame was processed."""
self.events[get_ident()][0].clear()
class BaseCamera(object):
thread = None # Background thread that reads frames from camera
camera = None # Camera object, for direct access to camera
frame = None # Current frame is stored here by background thread
last_access = 0 # Time of last client access to the camera
event = CameraEvent()
def __init__(self):
self.start_worker()
# Stores state of StreamingCamera
self.state = {
}
def start_worker(self, timeout: int=5) -> bool:
"""Start the background camera thread if it isn't running yet."""
timeout_time = time.time() + timeout
self.last_access = time.time()
self.stop = False
if self.thread is None:
# start background frame thread
self.thread = threading.Thread(target=self._thread)
self.thread.start()
# wait until frames are available
log("Waiting for frames")
while self.get_frame() is None:
if time.time() > timeout_time:
raise TimeoutError("Timeout waiting for frames.")
break
else:
time.sleep(0)
return True
def stop_worker(self, timeout: int=5) -> bool:
"""Flags worker thread for stop. Waits for thread to close, or times out."""
timeout_time = time.time() + timeout
self.stop = True
while self.thread:
if time.time() > timeout_time:
raise TimeoutError("Timeout waiting for worker thread to close.")
break
else:
time.sleep(0)
return True
def get_frame(self):
"""Return the current camera frame."""
self.last_access = time.time()
# wait for a signal from the camera thread
self.event.wait()
self.event.clear()
return self.frame
def frames(self):
"""Generator that returns frames from the camera."""
raise RuntimeError('Must be implemented by subclasses.')
def close(self):
"""Handles closing the StreamingCamera"""
self.stop_worker()
def __enter__(self):
return self
def __exit__(self, exc_type, exc_value, traceback):
"""Close camera stream on context exit."""
self.close()
def _thread(self):
"""Camera background thread."""
self.frames_iterator = self.frames()
# Update state
self.state['stream_active'] = True
for frame in self.frames_iterator:
self.frame = frame
self.event.set() # send signal to clients
time.sleep(0)
# if there hasn't been any clients asking for frames in
# the last 10 seconds then stop the thread
if time.time() - self.last_access > 20:
self.frames_iterator.close()
break
try:
if self.stop is True:
self.frames_iterator.close()
break
except AttributeError:
pass
# Reset thread
self.thread = None
# Destroy any stored camera object (used especially for handling Pi cameras)
self.camera = None
# Update state
self.state['stream_active'] = False

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import yaml
TYPES = {
'stream_resolution': tuple,
'video_resolution': tuple,
'image_resolution': tuple,
'numpy_resolution': tuple,
'jpeg_quality': int,
'framerate': int,
'awb_mode': str,
'red_gain': float,
'blue_gain': float,
'shutter_speed': int,
'saturation': int,
'analog_gain': float,
'digital_gain': float,
}
def convert_config(config):
"""Convert datatype of config based on type dictionary"""
global TYPES
for key in config:
if key in TYPES:
config[key] = TYPES[key](config[key])
return config
def load_config(yaml_path):
with open(yaml_path) as config_file:
return convert_config(yaml.load(config_file))
if __name__ == "__main__":
from pprint import pprint
config = load_config('config_picamera.yaml')
pprint(config)

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# Exposure mode
exposure_mode: 'off'
# The analog gain offers higher sensitivity and less noise than using digital gain only
analog_gain: 1.
digital_gain: 1.
# When queried, the shutter_speed property returns the shutter speed of the camera in microseconds,
# or 0 which indicates that the speed will be automatically determined.
# If high value does not work, need to decrease the fps for streaming
shutter_speed: 30000
# Auto white balance: The red and blue values are returned Fraction instances.
# The values will be between 0.0 and 8.0.
awb_mode: 'off'
# If not using auto, then you can change the awb_gains
red_gain: 1.3
blue_gain: 1.2
# Color saturation of the camera as an integer between -100 and 100.
saturation: 0
# ISO Valid values are between 0 (auto) and 800 (1600 is not available?).
# ISO value is not used anyway as we are fixing the gains
iso: 500
# Resolutions for streaming and capture
video_resolution: [832, 624]
image_resolution: [2592, 1944]
numpy_resolution: [1312, 976]
# Capture quality
jpeg_quality: 75
framerate: 24

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# -*- coding: utf-8 -*-
"""
Raspberry Pi camera implementation of the StreamingCamera class.
NOTES:
Still port used for image capture
Preview port reserved for onboard GPU preview
Video port:
Splitter port 0: Image capture (if use_video_port == True)
Splitter port 1: Streaming frames
Splitter port 2: Video capture
Splitter port 3: [Currently unused]
StreamingCamera streams at video_resolution
Camera capture resolution set to video_resolution in frames()
Video port uses that resolution for everything. If a different resolution
is specified for video capture, this is handled by the resizer.
Still capture (if use_video_port == False) uses pause_stream_for_capture
to temporarily increase the capture resolution.
"""
from __future__ import division
import io
import time
import datetime
import sys
import os
import yaml
import copy
import numpy as np
from PIL import Image
# Pi camera
import picamera
import picamera.array
# Type hinting
from typing import Tuple
# Threading
import threading
from .base import BaseCamera, StreamObject, log
# Richard's fix gain
from .set_picamera_gain import set_analog_gain, set_digital_gain
# Manage config
from .config import load_config
HERE = os.path.abspath(os.path.dirname(__file__))
DEFAULT_CONFIG = os.path.join(HERE, 'config_picamera.yaml')
class StreamingCamera(BaseCamera):
def __init__(self):
# Capture data
self.image = None
self.video = None
# Camera settings
self.settings = {
'video_resolution': (832, 624),
'image_resolution': (2592, 1944),
'numpy_resolution': (1312, 976),
'jpeg_quality': 75,
}
# Store state of StreamingCamera
self.state = {
'video_recent': None,
'image_recent': None,
'stream_active': False,
'record_active': False,
'preview_active': False,
}
# Finally, run BaseCamera init to start thread
BaseCamera.__init__(self)
def initialisation(self):
pass
def start_preview(self) -> bool:
"""Function to start the onboard GPU camera preview."""
self.start_worker()
self.camera.start_preview()
self.state['preview_active'] = True
return True
def stop_preview(self) -> bool:
"""Function to start the onboard GPU camera preview."""
self.start_worker()
self.camera.stop_preview()
self.state['preview_active'] = False
return True
# TODO: Handle exceptions
def update_settings(self, config_path: str=None) -> None:
"""
Opens config_picamera.yaml file and writes valid settings
to the camera hardware object
"""
global DEFAULT_CONFIG
self.start_worker()
if not config_path:
config = load_config(DEFAULT_CONFIG)
else:
config = load_config(config_path)
log("Applying config:")
log(config)
# StreamingCamera settings
if 'video_resolution' in config:
self.settings['video_resolution'] = config['video_resolution']
if 'image_resolution' in config:
self.settings['image_resolution'] = config['image_resolution']
if 'numpy_resolution' in config:
self.settings['numpy_resolution'] = config['numpy_resolution']
if 'jpeg_quality' in config:
self.settings['jpeg_quality'] = config['jpeg_quality']
if 'framerate' in config:
self.settings['framerate'] = config['framerate']
# Camera AWB
if 'awb_mode' in config:
self.camera.awb_mode = config['awb_mode']
if 'red_gain' in config and 'blue_gain' in config:
self.camera.awb_gains = (config['red_gain'], config['blue_gain'])
# Camera framerate
if 'framerate' in config:
self.camera.framerate = config['framerate']
# Camera exposure
if 'shutter_speed' in config:
self.camera.shutter_speed = config['shutter_speed']
if 'saturation' in config:
self.camera.saturation = config['saturation']
# Camera misc.
self.camera.led = False
# Richard's library to set analog and digital gains
if 'analog_gain' in config:
set_analog_gain(self.camera, config['analog_gain'])
if 'digital_gain' in config:
set_digital_gain(self.camera, config['digital_gain'])
# TODO: Rewrite this bit?
# https://picamera.readthedocs.io/en/release-1.13/api_camera.html
def change_zoom(self, zoom_value: int=1) -> None:
"""Change the camera zoom, handling recentering and scaling."""
zoom_value = float(zoom_value)
if zoom_value < 1:
zoom_value = 1
# Richard's code for zooming !
fov = self.camera.zoom
centre = np.array([fov[0] + fov[2]/2.0, fov[1] + fov[3]/2.0])
size = 1.0/zoom_value
# If the new zoom value would be invalid, move the centre to
# keep it within the camera's sensor (this is only relevant
# when zooming out, if the FoV is not centred on (0.5, 0.5)
for i in range(2):
if np.abs(centre[i] - 0.5) + size/2 > 0.5:
centre[i] = 0.5 + (1.0 - size)/2 * np.sign(centre[i]-0.5)
print("setting zoom, centre {}, size {}".format(centre, size))
new_fov = (centre[0] - size/2, centre[1] - size/2, size, size)
self.camera.zoom = new_fov
def stop_recording(self, target=None) -> bool:
"""Stop the last started video recording on splitter port 2.
target (str/BytesIO): Target object to write data bytes to.
"""
if not target: # If no target is defined
target_obj = self.video # Assume StreamingCamera as target
target_obj.unlock() # Unlock the StreamObject
else:
target_obj = target
# Stop the camera video recording on port 2
log("Stopping recording")
self.camera.stop_recording(splitter_port=2)
log("Recording stopped")
# Update state dictionary
self.state['record_active'] = False
self.state['video_recent'] = str(target_obj)
return True
def start_recording(
self,
target=None,
write_to_file: bool=True,
filename: str=None,
folder: str='record',
fmt: str='h264',
quality: int=15):
"""Start a new video recording, writing to a target object.
target (str/BytesIO): Target object to write bytes to (default StreamObject)
write_to_file (bool/NoneType): Should the StreamObject write to a file? (default True for video capture)
filename (str): Name of the stored file (defaults to timestamp)
folder (str): Relative directory to store data file in.
fmt (str): Format of the capture (default 'h264')
"""
self.start_worker()
# If no target is specified, store to StreamingCamera
if not target:
if (self.video is None) or (not self.video.locked): # If target is not locked
self.video = StreamObject(write_to_file=write_to_file, filename=filename, folder=folder, fmt=fmt) # Reset/create StreamObject
target = self.video.target # Store to the StreamObject BytesIO
target_obj = self.video # Note the target StreamObject, used for function return
target_obj.lock() # Lock the StreamObject while recording
else:
print("Cannot start recording a new video until the current recording has been stopped. Returning None.")
return None
else:
target_obj = target
# Start the camera video recording on port 2
log("Starting record at {}".format(self.settings['video_resolution']))
self.camera.start_recording(
target,
format=fmt,
splitter_port=2,
resize=self.settings['video_resolution'],
quality=quality)
# Update state dictionary
self.state['record_active'] = True
return target_obj
def pause_stream_for_capture(self, splitter_port: int=1, resolution: Tuple[int, int]=None) -> None:
"""
Pause capture on a splitter port.
splitter_port (int): Splitter port to stop recording on
resolution ((int, int)): Resolution to set the camera to, after stopping recording.
"""
log("Pausing stream")
# If no resolution is specified, default to image_resolution
if not resolution:
resolution = self.settings['image_resolution']
# Stop the camera video recording on port 1
self.camera.stop_recording(splitter_port=splitter_port)
# Increase the resolution for taking an image
self.camera.resolution = resolution
def resume_stream_for_capture(self, splitter_port: int=1, resolution: Tuple[int, int]=None) -> None:
"""
Resume capture on a splitter port
splitter_port (int): Splitter port to start recording on
resolution ((int, int)): Resolution to set the camera to, before starting recording.
"""
log("Unpausing stream")
if not resolution:
resolution = self.settings['video_resolution']
# Reduce the resolution for video streaming
self.camera.resolution = resolution
# Resume the video channel
self.camera.start_recording(
self.stream,
format='mjpeg',
quality=self.settings['jpeg_quality'],
splitter_port=splitter_port)
def capture(
self,
target=None,
write_to_file: bool=False,
use_video_port: bool=False,
filename: str=None,
folder: str='capture',
fmt: str='jpeg',
resize: Tuple[int, int]=None):
"""
Captures a still image to a StreamObject.
Defaults to JPEG format.
Target object can be overridden for development purposes.
target (str/BytesIO): Target object to write data bytes to
write_to_file (bool): Should the StreamObject write to a file, instead of BytesIO stream?
use_video_port (bool): Capture from the video port used for streaming (lower resolution, faster)
filename (str): Name of the stored file (defaults to timestamp)
folder (str): Relative directory to store data file in.
fmt (str): Format of the capture (default 'h264')
resize ((int, int)): Resize the captured image.
"""
self.start_worker()
# If no target is specified, store to StreamingCamera
if not target:
self.image = StreamObject(write_to_file=write_to_file, filename=filename, folder=folder, fmt=fmt) # Reset StreamObject
target = self.image.target # Store to the StreamObject BytesIO
target_obj = self.image # Note the target StreamObject, used for function return
else:
target_obj = target
log("Capturing to {}".format(target))
if not use_video_port:
# Pause video splitter port 1
self.pause_stream_for_capture()
self.camera.capture(
target,
format=fmt,
quality=100,
resize=resize,
bayer=True)
# Resume video splitter port 1
self.resume_stream_for_capture()
else:
self.camera.capture(
target,
format=fmt,
quality=100,
resize=resize,
bayer=False,
use_video_port=True)
# Update state dictionary
self.state['image_recent'] = str(target_obj)
return target_obj
def array(self, rgb=False, use_video_port: bool=True, resize: Tuple[int, int]=None) -> np.ndarray:
"""Captures an uncompressed still YUV image to a Numpy array.
use_video_port (bool): Capture from the video port used for streaming (lower resolution, faster)
resize ((int, int)): Resize the captured image.
"""
self.start_worker()
if use_video_port:
resolution = self.settings['video_resolution']
else:
resolution = self.settings['numpy_resolution']
if resize:
size = resize
else:
size = resolution
if not use_video_port:
self.pause_stream_for_capture(resolution=resolution)
log("Creating PiYUVArray")
with picamera.array.PiYUVArray(self.camera, size=size) as output:
log("Capturing to PiYUVArray from {}".format(self.camera))
self.camera.capture(
output,
resize=size,
format='yuv',
use_video_port=use_video_port)
log("Capturing complete")
if not use_video_port:
self.resume_stream_for_capture()
if rgb:
log("Converting to RGB")
return output.rgb_array
else:
return output.array
def frames(self):
"""
Create iterator used by worker thread to generate stream frames.
Holds a Pi camera in context, records video from port 1 to a
byte stream, and iterates sequential frames.
"""
# Run this initialisation method
self.initialisation()
self.stream_method = 'PiCamera'
with picamera.PiCamera() as self.camera:
# Let camera warm up
time.sleep(0.1)
# Settings config
self.update_settings()
# Set stream resolution
self.camera.resolution = self.settings['video_resolution']
# streaming
self.stream = io.BytesIO()
# start recording on video splitter port 1
self.camera.start_recording(
self.stream,
format='mjpeg',
quality=self.settings['jpeg_quality'],
splitter_port=1)
while True:
# reset stream for next frame
self.stream.seek(0)
self.stream.truncate()
# to stream, read the new frame
time.sleep(1/self.settings['framerate']*0.1)
# yield the result to be read
frame = self.stream.getvalue()
# ensure the size of package is right
if len(frame) == 0:
pass
else:
yield frame

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@ -0,0 +1,70 @@
from __future__ import print_function
import picamera
from picamera import mmal, mmalobj, exc
from picamera.mmalobj import to_rational
import time
MMAL_PARAMETER_ANALOG_GAIN = mmal.MMAL_PARAMETER_GROUP_CAMERA + 0x59
MMAL_PARAMETER_DIGITAL_GAIN = mmal.MMAL_PARAMETER_GROUP_CAMERA + 0x5A
def set_gain(camera, gain, value):
"""Set the analog gain of a PiCamera.
camera: the picamera.PiCamera() instance you are configuring
gain: either MMAL_PARAMETER_ANALOG_GAIN or MMAL_PARAMETER_DIGITAL_GAIN
value: a numeric value that can be converted to a rational number.
"""
if gain not in [MMAL_PARAMETER_ANALOG_GAIN, MMAL_PARAMETER_DIGITAL_GAIN]:
raise ValueError("The gain parameter was not valid")
ret = mmal.mmal_port_parameter_set_rational(camera._camera.control._port,
gain,
to_rational(value))
if ret == 4:
raise exc.PiCameraMMALError(ret, "Are you running the latest version of the userland libraries? Gain setting was introduced in late 2017.")
elif ret != 0:
raise exc.PiCameraMMALError(ret)
def set_analog_gain(camera, value):
"""Set the gain of a PiCamera object to a given value."""
set_gain(camera, MMAL_PARAMETER_ANALOG_GAIN, value)
def set_digital_gain(camera, value):
"""Set the digital gain of a PiCamera object to a given value."""
set_gain(camera, MMAL_PARAMETER_DIGITAL_GAIN, value)
if __name__ == "__main__":
with picamera.PiCamera() as cam:
cam.start_preview(fullscreen=False, window=(0,50,640,480))
time.sleep(2)
# fix the auto white balance gains at their current values
g = cam.awb_gains
cam.awb_mode = "off"
cam.awb_gains = g
# fix the shutter speed
cam.shutter_speed = cam.exposure_speed
print("Current a/d gains: {}, {}".format(cam.analog_gain, cam.digital_gain))
print("Attempting to set analogue gain to 1")
set_analog_gain(cam, 1)
print("Attempting to set digital gain to 1")
set_digital_gain(cam, 1)
# The old code is left in here in case it is a useful example...
#ret = mmal.mmal_port_parameter_set_rational(cam._camera.control._port,
# MMAL_PARAMETER_DIGITAL_GAIN,
# to_rational(1))
#print("Return code: {}".format(ret))
try:
while True:
print("Current a/d gains: {}, {}".format(cam.analog_gain, cam.digital_gain))
time.sleep(1)
except KeyboardInterrupt:
print("Stopping...")