pyqtgraph/benchmarks/makeARGB.py
Martin Chase 1654cb62ac
Small ImageItem-related improvements (#1501)
* 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>
2021-01-19 23:19:03 -08:00

73 lines
2.0 KiB
Python

import numpy as np
from pyqtgraph.functions import makeARGB
class TimeSuite(object):
def __init__(self):
self.c_map = None
self.float_data = None
self.uint8_data = None
self.uint8_lut = None
self.uint16_data = None
self.uint16_lut = None
def setup(self):
size = (500, 500)
self.float_data = {
'data': np.random.normal(size=size),
'levels': [-4., 4.],
}
self.uint16_data = {
'data': np.random.randint(100, 4500, size=size).astype('uint16'),
'levels': [250, 3000],
}
self.uint8_data = {
'data': np.random.randint(0, 255, size=size).astype('ubyte'),
'levels': [20, 220],
}
self.c_map = np.array([
[-500., 255.],
[-255., 255.],
[0., 500.],
])
self.uint8_lut = np.zeros((256, 4), dtype='ubyte')
for i in range(3):
self.uint8_lut[:, i] = np.clip(np.linspace(self.c_map[i][0], self.c_map[i][1], 256), 0, 255)
self.uint8_lut[:, 3] = 255
self.uint16_lut = np.zeros((2 ** 16, 4), dtype='ubyte')
for i in range(3):
self.uint16_lut[:, i] = np.clip(np.linspace(self.c_map[i][0], self.c_map[i][1], 2 ** 16), 0, 255)
self.uint16_lut[:, 3] = 255
def make_test(dtype, use_levels, lut_name, func_name):
def time_test(self):
data = getattr(self, dtype + '_data')
makeARGB(
data['data'],
lut=getattr(self, lut_name + '_lut', None),
levels=use_levels and data['levels'],
)
time_test.__name__ = func_name
return time_test
for dt in ['float', 'uint16', 'uint8']:
for levels in [True, False]:
for ln in [None, 'uint8', 'uint16']:
name = f'time_makeARGB_{dt}_{"" if levels else "no"}levels_{ln or "no"}lut'
setattr(TimeSuite, name, make_test(dt, levels, ln, name))
if __name__ == "__main__":
ts = TimeSuite()
ts.setup()