https://bugs.kde.org/show_bug.cgi?id=423632
--- Comment #4 from Thomas Coquelin <toto...@yahoo.fr> ---
I found this small python script to test opencv :
#################################################"
"""
cpu_gpu.py
An OpenCL-OpenCV-Python CPU vs GPU comparison
"""
import cv2
import timeit
# A simple image pipeline that runs on both Mat and Umat
def img_cal(img, mode):
if mode=='UMat':
img = cv2.UMat(img)
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
img = cv2.GaussianBlur(img, (7, 7), 1.5)
img = cv2.Canny(img, 0, 50)
if type(img) == 'cv2.UMat':
img = cv2.UMat.get(img)
return img
# Timing function
def run(processor, function, n_threads, N):
cv2.setNumThreads(n_threads)
t = timeit.timeit(function, globals=globals(), number=N)/N*1000
print('%s avg. with %d threads: %0.2f ms' % (processor, n, t))
return t
img = cv2.imread('abricotier.tif')
img_UMat = cv2.UMat(img)
N = 200
threads = [1, 16]
processor = {'GPU': "img_cal(img_UMat,mode='UMat')",
'CPU': "img_cal(img,mode='Mat')"}
results = {}
for n in threads:
for pro in processor.keys():
results[pro,n] = run(processor=pro,
function= processor[pro],
n_threads=n, N=N)
print('\nGPU speed increase over 1 CPU thread [%%]: %0.2f' % \
(results[('CPU', 1)]/results[('GPU', 1)]*100))
print('CPU speed increase on 16 threads versus 1 thread [%%]: %0.2f' % \
(results[('CPU', 1)]/results[('CPU', 16)]*100))
##############################################################""
The script works properly :
#############################
$ python3.7 opencv_test.py
LoadLib(libhsa-amd-aqlprofile64.so) failed: libhsa-amd-aqlprofile64.so: cannot
open shared object file: No such file or directory
GPU avg. with 1 threads: 19.34 ms
CPU avg. with 1 threads: 338.04 ms
GPU avg. with 16 threads: 16.43 ms
CPU avg. with 16 threads: 74.33 ms
GPU speed increase over 1 CPU thread [%]: 1747.75
CPU speed increase on 16 threads versus 1 thread [%]: 454.77
#########################################
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