mirror of
https://github.com/opencv/opencv.git
synced 2024-11-27 12:40:05 +08:00
46 lines
1.4 KiB
Python
46 lines
1.4 KiB
Python
#!/usr/bin/env python
|
|
|
|
'''
|
|
CUDA-accelerated Computer Vision functions
|
|
'''
|
|
|
|
# Python 2/3 compatibility
|
|
from __future__ import print_function
|
|
|
|
import numpy as np
|
|
import cv2 as cv
|
|
|
|
from tests_common import NewOpenCVTests
|
|
|
|
class cuda_test(NewOpenCVTests):
|
|
def setUp(self):
|
|
if not cv.cuda.getCudaEnabledDeviceCount():
|
|
self.skipTest("No CUDA-capable device is detected")
|
|
|
|
def test_cuda_upload_download(self):
|
|
npMat = (np.random.random((200, 200, 3)) * 255).astype(np.uint8)
|
|
gpuMat = cv.cuda_GpuMat()
|
|
gpuMat.upload(npMat)
|
|
|
|
self.assertTrue(np.allclose(gpuMat.download(), npMat))
|
|
|
|
def test_cuda_imgproc_cvtColor(self):
|
|
npMat = (np.random.random((200, 200, 3)) * 255).astype(np.uint8)
|
|
gpuMat = cv.cuda_GpuMat()
|
|
gpuMat.upload(npMat)
|
|
gpuMat2 = cv.cuda.cvtColor(gpuMat, cv.COLOR_BGR2HSV)
|
|
|
|
self.assertTrue(np.allclose(gpuMat2.download(), cv.cvtColor(npMat, cv.COLOR_BGR2HSV)))
|
|
|
|
def test_cuda_filter_laplacian(self):
|
|
npMat = (np.random.random((200, 200)) * 255).astype(np.uint16)
|
|
gpuMat = cv.cuda_GpuMat()
|
|
gpuMat.upload(npMat)
|
|
gpuMat = cv.cuda.createLaplacianFilter(cv.CV_16UC1, -1, ksize=3).apply(gpuMat)
|
|
|
|
self.assertTrue(np.allclose(gpuMat.download(), cv.Laplacian(npMat, cv.CV_16UC1, ksize=3)))
|
|
|
|
|
|
if __name__ == '__main__':
|
|
NewOpenCVTests.bootstrap()
|