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Mansour Moufid a68e8d8289 Merge pull request #21337 from mansourmoufid:videocapture-get-property-return
Make cv::VideoCapture::get return cv::CAP_PROP_UNKNOWN (-1) for unsupported properties #21337

The return value indicating an unsupported property is not consistent across backends.

I stumbled on this issue because my code was determining if a property value is valid if it's non-zero (like the documentation says), which worked fine on macOS, but not on Android.

For example, auto-exposure is not supported on macOS, so get() returns 0. But it is supported on Android and 0 means auto-exposure is off.

I think -1 is the better return value to indicate unsupported properties.

I made changes to all the backends. I think I got every case. This breaks API compatibility for some backends, so I based this on branch 3.4.

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or other license that is incompatible with OpenCV
- [x] The PR is proposed to proper branch
- [ ] There is reference to original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2026-06-02 08:27:24 +03:00

111 lines
3.9 KiB
Python

#!/usr/bin/env python
from __future__ import print_function
import numpy as np
import cv2 as cv
import io
import sys
import tempfile
from tests_common import NewOpenCVTests
class Bindings(NewOpenCVTests):
def check_name(self, name):
#print(name)
self.assertFalse(name == None)
self.assertFalse(name == "")
def test_registry(self):
self.check_name(cv.videoio_registry.getBackendName(cv.CAP_ANY));
self.check_name(cv.videoio_registry.getBackendName(cv.CAP_FFMPEG))
self.check_name(cv.videoio_registry.getBackendName(cv.CAP_OPENCV_MJPEG))
backends = cv.videoio_registry.getBackends()
for backend in backends:
self.check_name(cv.videoio_registry.getBackendName(backend))
def test_capture_stream_file(self):
if sys.version_info[0] < 3:
raise self.skipTest('Python 3.x required')
api_pref = None
for backend in cv.videoio_registry.getStreamBufferedBackends():
if not cv.videoio_registry.hasBackend(backend):
continue
if not cv.videoio_registry.isBackendBuiltIn(backend):
_, abi, api = cv.videoio_registry.getStreamBufferedBackendPluginVersion(backend)
if (abi < 1 or (abi == 1 and api < 2)):
continue
api_pref = backend
break
if not api_pref:
raise self.skipTest("No available backends")
with open(self.find_file("cv/video/768x576.avi"), "rb") as f:
cap = cv.VideoCapture(f, api_pref, [])
self.assertTrue(cap.isOpened())
self.assertEqual(cv.CAP_PROP_UNKNOWN, cap.get(-1))
hasFrame, frame = cap.read()
self.assertTrue(hasFrame)
self.assertEqual(frame.shape, (576, 768, 3))
def test_capture_stream_buffer(self):
if sys.version_info[0] < 3:
raise self.skipTest('Python 3.x required')
api_pref = None
for backend in cv.videoio_registry.getStreamBufferedBackends():
if not cv.videoio_registry.hasBackend(backend):
continue
if not cv.videoio_registry.isBackendBuiltIn(backend):
_, abi, api = cv.videoio_registry.getStreamBufferedBackendPluginVersion(backend)
if (abi < 1 or (abi == 1 and api < 2)):
continue
api_pref = backend
break
if not api_pref:
raise self.skipTest("No available backends")
class BufferStream(io.BufferedIOBase):
def __init__(self, filepath):
self.f = open(filepath, "rb")
def read(self, size=-1):
return self.f.read(size)
def seek(self, offset, whence):
return self.f.seek(offset, whence)
def __del__(self):
self.f.close()
stream = BufferStream(self.find_file("cv/video/768x576.avi"))
cap = cv.VideoCapture(stream, api_pref, [])
self.assertTrue(cap.isOpened())
hasFrame, frame = cap.read()
self.assertTrue(hasFrame)
self.assertEqual(frame.shape, (576, 768, 3))
def test_context_manager(self):
video_file = self.find_file("cv/video/768x576.avi")
with cv.VideoCapture(video_file) as cap:
self.assertTrue(cap.isOpened(), "VideoCapture should be opened within context manager")
with tempfile.NamedTemporaryFile(suffix='.avi') as tmp:
with cv.VideoWriter(tmp.name, cv.VideoWriter_fourcc(*'MJPG'), 25, (640, 480)) as writer:
self.assertTrue(isinstance(writer, cv.VideoWriter))
try:
with cv.VideoCapture(video_file) as cap:
self.assertTrue(cap.isOpened())
raise RuntimeError("Testing context manager exception safety")
except RuntimeError:
pass
if __name__ == '__main__':
NewOpenCVTests.bootstrap()