我想在我的Ubuntu系统中阅读HTTPS URL视频而不下载。我可以在Windows OS中执行此操作,但是当我尝试在Ubuntu中使用相同的OPENCV视频关注方法运行相同的代码时,它将无法获得任何帧。
为什么这样?
我在Ubuntu和Windows中都使用了相同的OpENCV版本,任何人都可以指导我走向解决方案,我可以编译OpenCV和流url视频或任何其他支持Ubuntu中此功能的库的教程?
我尝试了几乎所有事情,但没有任何富有成效的结果,这使我最终提出了这个问题。
opencv build information :
OpenCV modules:
To be built: calib3d core dnn features2d flann gapi highgui imgcodecs imgproc java_bindings_generator ml objdetect photo python3 python_bindings_generator stitching video videoio
Disabled: world
Disabled by dependency: -
Unavailable: java js python2 ts
Applications: -
Documentation: NO
Non-free algorithms: NO
GUI:
QT: YES (ver 4.8.7 EDITION = OpenSource)
QT OpenGL support: NO
GTK+: NO
VTK support: NO
Media I/O:
ZLib: /lib64/libz.so (ver 1.2.3)
JPEG: /opt/libjpeg-turbo/lib64/libjpeg.a (ver 62)
WEBP: build (ver encoder: 0x020e)
PNG: build (ver 1.6.35)
TIFF: build (ver 42 - 4.0.9)
JPEG 2000: build (ver 1.900.1)
OpenEXR: build (ver 1.7.1)
HDR: YES
SUNRASTER: YES
PXM: YES
PFM: YES
Video I/O:
DC1394: NO
FFMPEG: YES
avcodec: YES (ver 58.21.104)
avformat: YES (ver 58.17.101)
avutil: YES (ver 56.18.102)
swscale: YES (ver 5.2.100)
avresample: NO
GStreamer: NO
v4l/v4l2: linux/videodev2.h
Parallel framework: pthreads
Trace: YES (with Intel ITT)
Other third-party libraries:
Lapack: NO
Eigen: NO
Custom HAL: NO
Protobuf: build (3.5.1)
OpenCL: YES (no extra features)
Include path: /io/opencv/3rdparty/include/opencl/1.2
Link libraries: Dynamic load
Python 3:
Interpreter: /opt/python/cp36-cp36m/bin/python (ver 3.6.5)
Libraries: libpython3.6m.a (ver 3.6.5)
numpy: /opt/python/cp36-cp36m/lib/python3.6/site-packages/numpy/core/include (ver 1.11.3)
packages path: lib/python3.6/site-packages
Python (for build): /opt/python/cp36-cp36m/bin/python
Java:
ant: NO
JNI: NO
Java wrappers: NO
Java tests: NO
Install to: /io/_skbuild/linux-x86_64-3.6/cmake-install
我的代码正在工作
import cv2
cap = cv2.VideoCapture('https://192.168.00.00:8080/video')
cv2.namedWindow('live cam', cv2.WINDOW_NORMAL)
while(True):
ret, frame = cap.read()
img_resize = cv2.resize(frame, (960, 540))
cv2.imshow('live cam', img_resize)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()