* exposed number of subsamples in auto-level determination
* Removing print statement at @NilsNemitz's request
* make levelSamples count pixels, not pixels * channels
* minimum number of samples can be 2 if we look at pixels anyway
* adjusted minimum levelSamples to 4: Otherwise a 2x2 image downsamples to a single pixel
* extended docstring for level to make the user aware of auto-level subsampling
* subsample towards square array for auto-leveling
* eliminated duplicated code between level downsampling and samples and QuickMinMax method
Co-authored-by: Ogi Moore <ognyan.moore@gmail.com>
* add axis convenient methods and matrix display example
* wrestled wayward space back into docstring
* color map names are case sensitive on Linux
* docstring fix for PlotItem
* protect AxisItem.linkToView from being obscured by DateAxisItem override
* replaced setOrigin method by promoted setPos and setScale
* made tri-state axes switching explicit
* reverted setRect behavior, documentation pass for ImageItem
* minor text adjustment
* implmented some suggested revisions
* fix input parsing for setRect and add tests so that I don't break it again
* don't try to re-add transform after clearing it
* changed example and doc image generators to pg.exec()
* removed commented-out code
* cleaned up transform eqaulity assertion
* restored devoured comment
* restored devoured comment
* refactor out _ndarray_to_qimage()
* combine levels back with lut
* make use of Grayscale8, RGB888 and Indexed8 QImage formats
Grayscale8 and RGB888 images are those that are ready for display
without further processing.
* add Grayscale16
* apply the efflut early for uint16 mono/rgb, uint8 rgb
* ndarray indexing is faster than np.take
* handle uint16 rgb(a) with no levels same as levels=[0, 65535]
* add support for Format_RGBA64
* fix: support colormaps of shape (h, 1)
* check ImageItem uint8 and uint16 QImage formats
* uint16 mono with rgb lut -> RGBX8888
* got width and height swapped in array dimensions
* set ImageItem as row-major
* no need to form a 1d 32-bit lut for array indexing
you can index (y, x) into a lookup table of shape (nentry, 3) or
(nentry, 4) and get an output of shape (y, x, 3) or (y, x, 4)
* Revert "no need to form a 1d 32-bit lut for array indexing"
This reverts commit 45cf3100de.
* distinguish between levels_lut and colors_lut
this allows uint16 images with user lut to be rendered as
Format_Indexed8
* uint8 (1-chan) images should always combine to efflut
this efflut will then be used for Indexed8 format color table.
previously, we would be taking a performance hit with doing a numpy
lookup with levels_lut.
* adapt benchmarks/makeARGB.py to renderImageItem.py
* restructure uint8 and uint16 codepaths
* normalize 1-chan images to ndim==2 earlier up
* refactor long code into functions
* bug: qimage may not be assigned
* fix: assign to self.qimage only if not None
* for uint16, do rescale rather than do levels_lut lookup
* cases 2,3 are already handled
i.e. no more using lut to do rescale of uint16 image data.
* rescale rgb images by computation, not by memory lookup
* setImage() does not take an output argument
* try to be cupy compatible
use "xp" instead of numpy module
* add numba to benchmarking
* fix: lut_big is dtype uint8 with more than 256 entries
* bug: applying colors_lut needs C-order
* support float with no nans
* fix: variable could be uninitialized
* add float32 format tests
* avoid explicitly forcing to C-contiguous
* cache effective lut only if combination took place
every one of the four branches now does its own return.
this makes it easier to follow.
* fix cupy benchmark : typo in renderQImage
* remove for loop of 1 iteration
* use float32 for floating point benchmark
* superceded by renderImageItem.py
* lint
* benchmark without lut conversion
* put the lut onto the substrate
* fix editor complaints
* handle lack of cupy
* leading underscores imply privacy
Co-authored-by: KIU Shueng Chuan <nixchuan@gmail.com>
* do not cache the cupy so the config option can be set later
* getCupy will always return None if the option is not set
* test of failing behavior
* divorce skip from option; restore option after test
* Trying translate on exporter strings
* Try translate on other misc context menu strings
* First f-string and I screw it up...
* add more translation calls
* Initial asv configuration
* makeARGB benchmarks are working
* Fix array type checking and allow making QImage in greyscale mode
* Performance improvements
* benchmark minor update
* Add CLI args to video speed test for easier / automated benchmarking
* udpate asv conf
* use a buffer-qimage so we can avoid allocing so much
this should improve performance under windows
* Add CLI args to video speed test for easier / automated benchmarking
* use a buffer-qimage so we can avoid allocing so much
this should improve performance under windows
* playing with numba
* oh, mins/maxes in the other order
* maybe put the cupy in here and see what happens
* pre-alloc for gpu and cpu
* handle possibility of not having cupy
* no numba in this branch
* organize imports
* name them after their use, not their expected device
* cupy.take does not support clip mode, so do it explicitly
* add CUDA option to the VideoSpeedTest
* rename private attr xp to _xp
* handle resizes at the last moment
* cupy is less accepting of lists as args
* or somehow range isn't allowed? what histogram is this?
* construct the array with python objects
* get the python value right away
* put LUT into cupy if needed
* docstring about cuda toolkit version
* better handling and display of missing cuda lib
* lint
* import need
* handle switching between cupy and numpy in a single ImageItem
* only use xp when necessary
we can now depend on numpy >= 1.17, which means __array_function__-implementing cupy can
seamlessly pass into numpy functions. the remaining uses of xp are for our functions which
need to allocate new data structures, an operation that has to be substrate-specific.
remove empty_cupy; just check if the import succeeded, instead.
* use an option to control use of cupy
* convert cupy.ceil array to int for easier mathing
* RawImageWidget gets to use the getCupy function now, too
* raise error to calm linters; rename for clarity
* Add Generated Template Files
* document things better
* cruft removal
* warnings to communicate when cupy is expected but somehow broken
* Merge branch 'cupy-rebase' into 'l/imageitem-performance'
Abundant conflicts; accept theirs in nearly every case.
* playing with settings to suss out timeout
* playing with more stuff to suss out timeout
* replace with empty list
* skip test_ExampleApp on linux+pyside2 only
* clean out some bits that no longer make sense; linty
* ignore airspeed velocity dir
* lint
* tidy up for merge
* lint
* lint, avoid shadowing
* specific import; run-as-script setup
Co-authored-by: Luke Campagnola <luke.campagnola@gmail.com>
Co-authored-by: Ogi Moore <ognyan.moore@gmail.com>
* Add CLI args to video speed test for easier / automated benchmarking
* use a buffer-qimage so we can avoid allocing so much
this should improve performance under windows
* playing with numba
* oh, mins/maxes in the other order
* maybe put the cupy in here and see what happens
* pre-alloc for gpu and cpu
* handle possibility of not having cupy
* no numba in this branch
* organize imports
* name them after their use, not their expected device
* cupy.take does not support clip mode, so do it explicitly
* add CUDA option to the VideoSpeedTest
* rename private attr xp to _xp
* handle resizes at the last moment
* cupy is less accepting of lists as args
* or somehow range isn't allowed? what histogram is this?
* construct the array with python objects
* get the python value right away
* put LUT into cupy if needed
* docstring about cuda toolkit version
* better handling and display of missing cuda lib
* lint
* import need
* handle switching between cupy and numpy in a single ImageItem
* only use xp when necessary
we can now depend on numpy >= 1.17, which means __array_function__-implementing cupy can
seamlessly pass into numpy functions. the remaining uses of xp are for our functions which
need to allocate new data structures, an operation that has to be substrate-specific.
remove empty_cupy; just check if the import succeeded, instead.
* use an option to control use of cupy
* convert cupy.ceil array to int for easier mathing
* RawImageWidget gets to use the getCupy function now, too
* raise error to calm linters; rename for clarity
* Add Generated Template Files
* document things better
* cruft removal
* warnings to communicate when cupy is expected but somehow broken
* playing with settings to suss out timeout
* playing with more stuff to suss out timeout
* replace with empty list
* skip test_ExampleApp on linux+pyside2 only
Co-authored-by: Luke Campagnola <luke.campagnola@gmail.com>
Co-authored-by: Ogi Moore <ognyan.moore@gmail.com>
Add a check in the viewTransformChanged function to only force a rerender when the downsampling factor changed.
Previously simply moving the image around or zooming in/out without changing the downsampling factor would force a complete rerendering of the image, which was very slow with large images. This way, the expensive rerender is only forced if necessary.
Issue #835 shows that comparing `bins`, which may be a numpy array, with a string `'auto'` leads to element-wise comparison, because the `==` operator for numpy arrays is used. With this commit, potential array and string are switched, so the `==` operator for strings is used, which does no element-wise comparison.
Moved eq function from flowcharts to main function library to support this.
Bonus: fixed a flowchart bug (backspace deletes wrong connector) while I was in there.
KIU Shueng Chuan
Martin Chase
Ogi Moore
Ogi Moore
Nils Nemitz
miranis
Kenneth Lyons
ChristophRose
2xB
Jim Crowell
Luke Campagnola
Pol Welter
Luke Campagnola
Luke Campagnola
HashSplat
fedebarabas