8. Deprecated Functionality¶
The picamera library is (at the time of writing) nearly a year old and has
grown quite rapidly in this time. Occasionally, when adding new functionality
to the library, the API is obvious and natural (e.g.
start_recording()
and stop_recording()
). At
other times, it’s been less obvious (e.g. unencoded captures) and my initial
attempts have proven to be less than ideal. In such situations I’ve endeavoured
to improve the API without breaking backward compatibility by introducing new
methods or attributes and deprecating the old ones.
This means that, as of release 1.8, there’s quite a lot of deprecated functionality floating around the library which it would be nice to tidy up, partly to simplify the library for debugging, and partly to simplify it for new users. To assuage any fears that I’m imminently going to break backward compatibility: I intend to leave a gap of at least a year between deprecating functionality and removing it, hopefully providing ample time for people to migrate their scripts.
Furthermore, to distinguish any release which is backwards incompatible, I would increment the major version number in accordance with semantic versioning. In other words, the first release in which currently deprecated functionality would be removed would be version 2.0, and as of the release of 1.8 it’s at least a year away. Any future 1.x releases will include all currently deprecated functions.
Of course, that still means people need a way of determining whether their
scripts use any deprecated functionality in the picamera library. All
deprecated functionality is documented, and the documentation includes pointers
to the intended replacement functionality (see raw_format
for
example). However, Python also provides excellent methods for determining
automatically whether any deprecated functionality is being used via the
warnings
module.
8.1. Finding and fixing deprecated usage¶
As of release 1.8, all deprecated functionality will raise
DeprecationWarning
when used. By default, the Python interpreter
suppresses these warnings (as they’re only of interest to developers, not
users) but you can easily configure different behaviour.
The following example script uses a number of deprecated functions:
import io
import time
import picamera
with picamera.PiCamera() as camera:
camera.resolution = (1280, 720)
camera.framerate = (24, 1)
camera.start_preview()
camera.preview_fullscreen = True
camera.preview_alpha = 128
time.sleep(2)
camera.raw_format = 'yuv'
stream = io.BytesIO()
camera.capture(stream, 'raw', use_video_port=True)
Despite using deprecated functionality the script runs happily (and silently)
with picamera 1.8. To discover what deprecated functions are being used, we add
a couple of lines to tell the warnings module that we want “default” handling
of DeprecationWarning
; “default” handling means that the first time an
attempt is made to raise this warning at a particular location, the warning’s
details will be printed to the console. All future invocations from the same
location will be ignored. This saves flooding the console with warning details
from tight loops. With this change, the script looks like this:
import io
import time
import picamera
import warnings
warnings.filterwarnings('default', category=DeprecationWarning)
with picamera.PiCamera() as camera:
camera.resolution = (1280, 720)
camera.framerate = (24, 1)
camera.start_preview()
camera.preview_fullscreen = True
camera.preview_alpha = 128
time.sleep(2)
camera.raw_format = 'yuv'
stream = io.BytesIO()
camera.capture(stream, 'raw', use_video_port=True)
And produces the following output on the console when run:
/usr/share/pyshared/picamera/camera.py:149: DeprecationWarning: Setting framerate or gains as a tuple is deprecated; please use one of Python's many numeric classes like int, float, Decimal, or Fraction instead
"Setting framerate or gains as a tuple is deprecated; "
/usr/share/pyshared/picamera/camera.py:3125: DeprecationWarning: PiCamera.preview_fullscreen is deprecated; use PiCamera.preview.fullscreen instead
'PiCamera.preview_fullscreen is deprecated; '
/usr/share/pyshared/picamera/camera.py:3068: DeprecationWarning: PiCamera.preview_alpha is deprecated; use PiCamera.preview.alpha instead
'PiCamera.preview_alpha is deprecated; use '
/usr/share/pyshared/picamera/camera.py:1833: DeprecationWarning: PiCamera.raw_format is deprecated; use required format directly with capture methods instead
'PiCamera.raw_format is deprecated; use required format '
/usr/share/pyshared/picamera/camera.py:1359: DeprecationWarning: The "raw" format option is deprecated; specify the required format directly instead ("yuv", "rgb", etc.)
'The "raw" format option is deprecated; specify the '
/usr/share/pyshared/picamera/camera.py:1827: DeprecationWarning: PiCamera.raw_format is deprecated; use required format directly with capture methods instead
'PiCamera.raw_format is deprecated; use required format '
This tells us which pieces of deprecated functionality are being used in our
script, but it doesn’t tell us where in the script they were used. For this,
it is more useful to have warnings converted into full blown exceptions. With
this change, each time a DeprecationWarning
would have been printed, it
will instead cause the script to terminate with an unhandled exception and a
full stack trace:
import io
import time
import picamera
import warnings
warnings.filterwarnings('error', category=DeprecationWarning)
with picamera.PiCamera() as camera:
camera.resolution = (1280, 720)
camera.framerate = (24, 1)
camera.start_preview()
camera.preview_fullscreen = True
camera.preview_alpha = 128
time.sleep(2)
camera.raw_format = 'yuv'
stream = io.BytesIO()
camera.capture(stream, 'raw', use_video_port=True)
Now when we run the script it produces the following:
Traceback (most recent call last):
File "test_deprecated.py", line 10, in <module>
camera.framerate = (24, 1)
File "/usr/share/pyshared/picamera/camera.py", line 1888, in _set_framerate
n, d = to_rational(value)
File "/usr/share/pyshared/picamera/camera.py", line 149, in to_rational
"Setting framerate or gains as a tuple is deprecated; "
DeprecationWarning: Setting framerate or gains as a tuple is deprecated; please use one of Python's many numeric classes like int, float, Decimal, or Fraction instead
This tells us that line 10 of our script is using deprecated functionality, and provides a hint of how to fix it. We change line 10 to use an int instead of a tuple for the framerate. Now we run again, and this time get the following:
Traceback (most recent call last):
File "test_deprecated.py", line 12, in <module>
camera.preview_fullscreen = True
File "/usr/share/pyshared/picamera/camera.py", line 3125, in _set_preview_fullscreen
'PiCamera.preview_fullscreen is deprecated; '
DeprecationWarning: PiCamera.preview_fullscreen is deprecated; use PiCamera.preview.fullscreen instead
Now we can tell line 12 has a problem, and once again the exception tells us how to fix it. We continue in this fashion until the script looks like this:
import io
import time
import picamera
import warnings
warnings.filterwarnings('error', category=DeprecationWarning)
with picamera.PiCamera() as camera:
camera.resolution = (1280, 720)
camera.framerate = 24
camera.start_preview()
camera.preview.fullscreen = True
camera.preview.alpha = 128
time.sleep(2)
stream = io.BytesIO()
camera.capture(stream, 'yuv', use_video_port=True)
The script now runs to completion, so we can be confident it’s no longer using
any deprecated functionality and will run happily even when this functionality
is removed in release 2.0. At this point, you may wish to remove the
filterwarnings
line as well (or at least comment it out).
8.2. List of deprecated functionality¶
For convenience, all currently deprecated functionality is detailed below. You may wish to skim this list to check whether you’re currently using deprecated functions, but I would urge users to take advantage of the warnings system documented in the prior section as well.
8.2.1. Unencoded captures¶
In very early versions of picamera, unencoded captures were created by
specifying the 'raw'
format with the capture()
method, with
the raw_format
attribute providing the actual encoding. The
attribute is deprecated, as is usage of the value 'raw'
with the format
parameter of all the capture methods.
The deprecated method of taking unencoded captures looks like this:
camera.raw_format = 'rgb'
camera.capture('output.data', format='raw')
In such cases, simply remove references to raw_format
and
place the required format directly within the capture()
call:
camera.capture('output.data', format='rgb')
8.2.2. Recording quality¶
The quantization parameter for start_recording()
and
record_sequence()
is deprecated in favor of the quality
parameter; this change was made to keep the recording methods consistent with
the capture methods, and to make the meaning of the parameter more obvious to
newcomers. The values of the parameter remain the same (i.e. 1-100 for MJPEG
recordings with higher values indicating higher quality, and 1-40 for H.264
recordings with lower values indicating higher quality).
The deprecated method of setting recording quality looks like this:
camera.start_recording('foo.h264', quantization=25)
Simply replace the quantization
parameter with the quality
parameter
like so:
camera.start_recording('foo.h264', quality=25)
8.2.3. Fractions as tuples¶
Several attributes in picamera expect rational (fractional) values. In early
versions of picamera, these values could only be specified as a tuple expressed
as (numerator, denominator)
. In later versions, support was expanded to
accept any of Python’s numeric types.
The following code illustrates the deprecated usage of a tuple representing a rational value:
camera.framerate = (24, 1)
Such cases can be replaced with any of Python’s numeric types, including
int, float,
Decimal
, and Fraction
. All the following
examples are functionally equivalent to the deprecated example above:
from decimal import Decimal
from fractions import Fraction
camera.framerate = 24
camera.framerate = 24.0
camera.framerate = Fraction(72, 3)
camera.framerate = Decimal('24')
camera.framerate = Fraction('48/2')
These attributes return a Fraction
instance as well, but
one modified to permit access as a tuple in order to maintain backward
compatibility. This is also deprecated behaviour. The following example
demonstrates accessing the framerate
attribute as a tuple:
n, d = camera.framerate
print('The framerate is %d/%d fps' % (n, d))
In such cases, use the standard numerator
and
denominator
attributes of the returned fraction
instead:
f = camera.framerate
print('The framerate is %d/%d fps' % (f.numerator, f.denominator))
Alternatively, you may wish to simply convert the Fraction
instance to a float for greater convenience:
f = float(camera.framerate)
print('The framerate is %0.2f fps' % f)
8.2.4. Preview functions¶
Release 1.8 introduced rather sweeping changes to the preview system to
incorporate the ability to create multiple static overlays on top of the
preview. As a result, the preview system is no longer incorporated into the
PiCamera
class. Instead, it is represented by the
preview
attribute which is a separate
PiPreviewRenderer
instance when the preview is active.
This change meant that preview_alpha
was deprecated in favor
of the alpha
property of the new preview
attribute. Similar changes were made to preview_layer
,
preview_fullscreen
, and preview_window
. The
following snippet illustrates the deprecated method of setting preview related
attributes:
camera.start_preview()
camera.preview_alpha = 128
camera.preview_fullscreen = False
camera.preview_window = (0, 0, 640, 480)
In this case, where preview attributes are altered after the preview has been activated, simply modify the corresponding attributes on the preview object:
camera.start_preview()
camera.preview.alpha = 128
camera.preview.fullscreen = False
camera.preview.window = (0, 0, 640, 480)
Unfortuantely, this simple change is not possible when preview attributes are
altered before the preview has been activated, as the
preview
attribute is None
when the preview is not active.
To accomodate this use-case, optional parameters were added to
start_preview()
to provide initial settings for the preview
renderer. The following example illustrates the deprecated method of setting
preview related attribtues prior to activating the preview:
camera.preview_alpha = 128
camera.preview_fullscreen = False
camera.preview_window = (0, 0, 640, 480)
camera.start_preview()
Remove the lines setting the attributes, and use the corresponding keyword
parameters of the start_preview()
method instead:
camera.start_preview(
alpha=128, fullscreen=False, window=(0, 0, 640, 480))
Finally, the previewing
attribute is now obsolete (and thus
deprecated) as its functionality can be trivially obtained by checking the
preview
attribute. The following example illustrates the
deprecated method of checking whether the preview is activate:
if camera.previewing:
print('The camera preview is running')
else:
print('The camera preview is not running')
Simply replace previewing
with preview
to
bring this code up to date:
if camera.preview:
print('The camera preview is running')
else:
print('The camera preview is not running')
8.2.5. Array stream truncation¶
In release 1.8, the base PiArrayOutput
class was changed to
derive from io.BytesIO
in order to add support for seeking, and to
improve performance. The prior implementation had been non-seekable, and
therefore to accommodate re-use of the stream between captures the
truncate()
method had an unusual side-effect not
seen with regular Python streams: after truncation, the position of the stream
was set to the new length of the stream. In all other Python streams, the
truncate
method doesn’t affect the stream position. The method is
overridden in 1.8 to maintain its unusual behaviour, but this behaviour is
nonetheless deprecated.
The following snippet illustrates the method of truncating an array stream in picamera versions 1.7 and older:
with picamera.array.PiYUVArray(camera) as stream:
for i in range(3):
camera.capture(stream, 'yuv')
print(stream.array.shape)
stream.truncate(0)
If you only need your script to work with picamera versions 1.8 and newer,
such code should be updated to use seek
and truncate
as you would
with any regular Python stream instance:
with picamera.array.PiYUVArray(camera) as stream:
for i in range(3):
camera.capture(stream, 'yuv')
print(stream.array.shape)
stream.seek(0)
stream.truncate()
Unfortunately, this will not work if your script needs to work with prior
versions of picamera as well (since such streams were non-seekable in prior
versions). In this case, call seekable()
to determine the
correct course of action:
with picamera.array.PiYUVArray(camera) as stream:
for i in range(3):
camera.capture(stream, 'yuv')
print(stream.array.shape)
if stream.seekable():
stream.seek(0)
stream.truncate()
else:
stream.truncate(0)
8.2.6. Confusing crop¶
In release 1.8, the crop
attribute was renamed to
zoom
; the old name was retained as a deprecated alias for
backward compatibility. This change was made as crop
was a thoroughly
misleading name for the attribute (which actually sets the “region of interest”
for the sensor), leading to numerous support questions.
The following example illustrates the deprecated attribute name:
camera.crop = (0.25, 0.25, 0.5, 0.5)
Simply replace crop
with zoom
in such
cases:
camera.zoom = (0.25, 0.25, 0.5, 0.5)
8.2.7. Incorrect ISO capitalisation¶
In release 1.8, the ISO
attribute was renamed to
iso
for compliance with PEP-8 (even though it’s an acronym
this is still more consistent with the existing API; consider
led
, awb_mode
, and so on).
The following example illustrates the deprecated attribute case:
camera.ISO = 100
Simply replace references to ISO
with iso
:
camera.iso = 100
8.2.8. Frame types¶
Over time, several capabilities were added to the H.264 encoder in the GPU
firmware. This expanded the number of possible frame types from a simple
key-frame / non-key-frame affair, to a multitude of possibilities (P-frame,
I-frame, SPS/PPS header, motion vector data, and who knows in future). Rather
than keep adding more and more boolean fields to the PiVideoFrame
named tuple, release 1.5 introduced the PiVideoFrameType
enumeration
used by the frame_type
attribute and deprecated the
keyframe
and header
attributes.
The following code illustrates usage of the deprecated boolean fields:
if camera.frame.keyframe:
handle_keyframe()
elif camera.frame.header:
handle_header()
else:
handle_frame()
In such cases, test the frame_type
attribute against the
corresponding value of the PiVideoFrameType
enumeration:
if camera.frame.frame_type == picamera.PiVideoFrameType.key_frame:
handle_keyframe()
elif camera.frame.frame_type == picamera.PiVideoFrameType.sps_header:
handle_header()
else:
handle_frame()
Alternatively, you may find something like this more elegant (and more future
proof as it’ll throw a KeyError
in the event of an unrecognized
frame type):
handler = {
picamera.PiVideoFrameType.key_frame: handle_keyframe,
picamera.PiVideoFrameType.sps_header: handle_header,
picamera.PiVideoFrameType.frame: handle_frame,
}[camera.frame.frame_type]
handler()
8.2.9. Annotation background color¶
In release 1.10, the annotate_background
attribute was
enhanced to support setting the background color of annotation text. Older
versions of picamera treated this attribute as a bool (False
for no
background, True
to draw a black background).
In order to provide the new functionality while maintaining a certain amount of
backward compatibility, the new attribute accepts None
for no background
and a Color
instance for a custom background color. It is worth
noting that the truth values of None
and False
are equivalent, as are
the truth values of a Color
instance and True
. Hence, naive tests
against the attribute value will continue to work.
The following example illustrates the deprecated behaviour of setting the attribute as a boolean:
camera.annotate_background = False
camera.annotate_background = True
In such cases, replace False
with None
, and True
with a
Color
instance of your choosing. Bear in mind that older Pi firmwares
can only produce a black background, so you may wish to stick with black to
ensure equivalent behaviour:
camera.annotate_background = None
camera.annotate_background = picamera.Color('black')
Naive tests against the attribute should work as normal, but specific tests (which are considered bad practice anyway), should be re-written. The following example illustrates specific boolean tests:
if camera.annotate_background == False:
pass
if camera.annotate_background is True:
pass
Such cases should be re-written to remove the specific boolean value mentioned in the test (this is a general rule, not limited to this deprecation case):
if not camera.annotate_background:
pass
if camera.annotate_background:
pass
8.2.10. Analysis classes use analyze¶
The various analysis classes in picamera.array
were adjusted in 1.11 to
use analyze()
(US English spelling) instead of
analyse
(UK English spelling). The following example illustrates the old
usage:
import picamera.array
class MyAnalyzer(picamera.array.PiRGBAnalysis):
def analyse(self, array):
print('Array shape:', array.shape)
This should simply be re-written as:
import picamera.array
class MyAnalyzer(picamera.array.PiRGBAnalysis):
def analyze(self, array):
print('Array shape:', array.shape)
8.2.11. Positional args for PiCamera¶
The PiCamera
class was adjusted in 1.14 to expect keyword arguments on
construction. The following used to be accepted (although it was still rather
bad practice):
import picamera
camera = picamera.PiCamera(0, 'none', False, '720p')
This should now be re-written as:
import picamera
camera = picamera.PiCamera(camera_num=0, stereo_mode='none',
stereo_decimate=False, resolution='720p')
Although if you only wanted to set resolution
you could simply write this
as:
import picamera
camera = picamera.PiCamera(resolution='720p')
8.2.12. Color module¶
The picamera.color
module has now been split off into the colorzero
library and as such is deprecated in its entirety. The colorzero library
contains everything that the color module used, along with a few enhancements
and several bug fixes and as such the transition is expected to be trivial.
Look for any imports of the Color
class:
from picamera import Color
c = Color('green')
Replace these with references to colorzero.Color
instead:
from colorzero import Color
c = Color('green')
Alternatively, if the Color
class is being used
directly from picamera itself:
import picamera
camera = picamera.PiCamera()
c = picamera.Color('red')
In this case add an import for colorzero, and reference the class from there:
import picamera
import colorzero
camera = picamera.PiCamera()
c = colorzero.Color('red')