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90 lines
4.3 KiB
90 lines
4.3 KiB
#!/usr/bin/env python |
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import os |
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import cv2 as cv |
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import numpy as np |
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from tests_common import NewOpenCVTests, unittest |
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class cudacodec_test(NewOpenCVTests): |
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def setUp(self): |
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super(cudacodec_test, self).setUp() |
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if not cv.cuda.getCudaEnabledDeviceCount(): |
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self.skipTest("No CUDA-capable device is detected") |
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@unittest.skipIf('OPENCV_TEST_DATA_PATH' not in os.environ, |
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"OPENCV_TEST_DATA_PATH is not defined") |
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def test_reader(self): |
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#Test the functionality but not the results of the video reader |
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vid_path = os.environ['OPENCV_TEST_DATA_PATH'] + '/cv/video/1920x1080.avi' |
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try: |
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reader = cv.cudacodec.createVideoReader(vid_path) |
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format_info = reader.format() |
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ret, gpu_mat = reader.nextFrame() |
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self.assertTrue(ret) |
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self.assertTrue('GpuMat' in str(type(gpu_mat)), msg=type(gpu_mat)) |
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#TODO: print(cv.utils.dumpInputArray(gpu_mat)) # - no support for GpuMat |
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if(not format_info.valid): |
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format_info = reader.format() |
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sz = gpu_mat.size() |
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self.assertTrue(sz[0] == format_info.width and sz[1] == format_info.height) |
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# not checking output, therefore sepearate tests for different signatures is unecessary |
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ret, _gpu_mat2 = reader.nextFrame(gpu_mat) |
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#TODO: self.assertTrue(gpu_mat == gpu_mat2) |
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self.assertTrue(ret) |
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params = cv.cudacodec.VideoReaderInitParams() |
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params.rawMode = True |
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ms_gs = 1234 |
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reader = cv.cudacodec.createVideoReader(vid_path,[cv.CAP_PROP_OPEN_TIMEOUT_MSEC, ms_gs], params) |
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ret, ms = reader.get(cv.CAP_PROP_OPEN_TIMEOUT_MSEC) |
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self.assertTrue(ret and ms == ms_gs) |
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ret, raw_mode = reader.getVideoReaderProps(cv.cudacodec.VideoReaderProps_PROP_RAW_MODE) |
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self.assertTrue(ret and raw_mode) |
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ret, colour_code = reader.getVideoReaderProps(cv.cudacodec.VideoReaderProps_PROP_COLOR_FORMAT) |
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self.assertTrue(ret and colour_code == cv.cudacodec.ColorFormat_BGRA) |
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colour_code_gs = cv.cudacodec.ColorFormat_GRAY |
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reader.set(colour_code_gs) |
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ret, colour_code = reader.getVideoReaderProps(cv.cudacodec.VideoReaderProps_PROP_COLOR_FORMAT) |
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self.assertTrue(ret and colour_code == colour_code_gs) |
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ret, i_base = reader.getVideoReaderProps(cv.cudacodec.VideoReaderProps_PROP_RAW_PACKAGES_BASE_INDEX) |
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self.assertTrue(ret and i_base == 2.0) |
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self.assertTrue(reader.grab()) |
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ret, gpu_mat3 = reader.retrieve() |
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self.assertTrue(ret and isinstance(gpu_mat3,cv.cuda.GpuMat) and not gpu_mat3.empty()) |
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ret = reader.retrieve(gpu_mat3) |
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self.assertTrue(ret and isinstance(gpu_mat3,cv.cuda.GpuMat) and not gpu_mat3.empty()) |
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ret, n_raw_packages_since_last_grab = reader.getVideoReaderProps(cv.cudacodec.VideoReaderProps_PROP_NUMBER_OF_RAW_PACKAGES_SINCE_LAST_GRAB) |
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self.assertTrue(ret and n_raw_packages_since_last_grab > 0) |
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ret, raw_data = reader.retrieve(int(i_base)) |
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self.assertTrue(ret and isinstance(raw_data,np.ndarray) and np.any(raw_data)) |
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except cv.error as e: |
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notSupported = (e.code == cv.Error.StsNotImplemented or e.code == cv.Error.StsUnsupportedFormat or e.code == cv.Error.GPU_API_CALL_ERROR) |
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self.assertTrue(notSupported) |
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if e.code == cv.Error.StsNotImplemented: |
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self.skipTest("NVCUVID is not installed") |
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elif e.code == cv.Error.StsUnsupportedFormat: |
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self.skipTest("GPU hardware video decoder missing or video format not supported") |
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elif e.code == cv.Error.GPU_API_CALL_ERRROR: |
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self.skipTest("GPU hardware video decoder is missing") |
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else: |
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self.skipTest(e.err) |
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def test_writer_existence(self): |
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#Test at least the existence of wrapped functions for now |
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try: |
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_writer = cv.cudacodec.createVideoWriter("tmp", (128, 128), 30) |
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except cv.error as e: |
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self.assertEqual(e.code, cv.Error.StsNotImplemented) |
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self.skipTest("NVCUVENC is not installed") |
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self.assertTrue(True) #It is sufficient that no exceptions have been there |
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if __name__ == '__main__': |
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NewOpenCVTests.bootstrap() |