我尝试使用带有ffmpeg后端的OpenCV和Python3将我的网络摄像头编码为HEVC视频。
它可以与mjpg等其他编解码器正常工作。
这是我的示例脚本，它使用了相应的fourcc(也尝试过hevc，h265，x265等):
#!/bin/python3
import cv2
import time
import subprocess
def video(seconds, frameRate):
cap = cv2.VideoCapture(0)
if(not cap.isOpened()):
return "error"
# Define the codec and create VideoWriter object
fourcc = cv2.VideoWriter_fourcc(*'HEVC')
name = "/tmp/" + time.strftime("%d-%m-%Y_%X")+".hevc"
out = cv2.VideoWriter(name, fourcc, frameRate, (640,480))
program_starts = time.time()
result = subprocess.Popen(["ffprobe", name], stdout = subprocess.PIPE, stderr = subprocess.STDOUT, shell=True)
nFrames=0
while(nFrames<seconds*frameRate):
ret, frame = cap.read()
if ret==True:
out.write(frame)
nFrames += 1
else:
break
cap.release()
return name
# Store a video to /tmp for 2 seconds
print(video(2,15))
返回错误:
OpenCV: FFMPEG: tag 0x43564548/'HEVC' is not found (format 'hevc / raw HEVC video')'
我的Ubuntu系统配置如下:
bash> cat /etc/issue
Ubuntu 16.04.6 LTS \n \l
bash> python3 -m pip list | grep opencv
opencv-contrib-python-nonfree 4.1.1.1
opencv-python-nonfree 4.1.1.1
bash> ffmpeg -encoders
ffmpeg version 2.8.15-0ubuntu0.16.04.1 Copyright (c) 2000-2018 the FFmpeg developers
built with gcc 5.4.0 (Ubuntu 5.4.0-6ubuntu1~16.04.10) 20160609
configuration: --prefix=/usr --extra-version=0ubuntu0.16.04.1 --build-suffix=-ffmpeg --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --cc=cc --cxx=g++ --enable-gpl --enable-shared --disable-stripping --disable-decoder=libopenjpeg --disable-decoder=libschroedinger --enable-avresample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libmodplug --enable-libmp3lame --enable-libopenjpeg --enable-libopus --enable-libpulse --enable-librtmp --enable-libschroedinger --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxvid --enable-libzvbi --enable-openal --enable-opengl --enable-x11grab --enable-libdc1394 --enable-libiec61883 --enable-libzmq --enable-frei0r --enable-libx264 --enable-libopencv
libavutil 54. 31.100 / 54. 31.100
libavcodec 56. 60.100 / 56. 60.100
libavformat 56. 40.101 / 56. 40.101
libavdevice 56. 4.100 / 56. 4.100
libavfilter 5. 40.101 / 5. 40.101
libavresample 2. 1. 0 / 2. 1. 0
libswscale 3. 1.101 / 3. 1.101
libswresample 1. 2.101 / 1. 2.101
libpostproc 53. 3.100 / 53. 3.100
Encoders:
...
V..... libx265 libx265 H.265 / HEVC (codec hevc)
...
最佳答案
事实证明，Python3 opencv-*-nonfree软件包附带了自己的FFmpeg。但是，由于已经安装了所有开发库，因此我准备了一个最小的脚本，该脚本可以构建OpenCV，该链接可通过HEVC(及其他)与本地安装的FFmpeg链接:INSTALLSCRIPT。
安装(bash> make install)后，我可以通过以下命令运行上述脚本
bash> ln -s /opt/opencv/ffmpeg/lib/python3.5/dist-packages/cv2/python-3.5/cv2.cpython-35m-x86_64-linux-gnu.so /opt/opencv/ffmpeg/lib/python3.5/dist-packages/cv2/cv2.so
bash> export PYTHONPATH=/opt/opencv/ffmpeg/lib/python3.5/dist-packages/
bash> export LD_LIBRARY_PATH=/opt/opencv/ffmpeg/lib
bash> python3 /tmp/test_encoding.py
x265 [info]: HEVC encoder version 1.9
x265 [info]: build info [Linux][GCC 5.3.1][64 bit] 8bit+10bit+12bit
x265 [info]: using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX AVX2 FMA3 LZCNT BMI2
x265 [info]: Main profile, Level-3.1 (Main tier)
x265 [info]: Thread pool created using 4 threads
x265 [info]: frame threads / pool features : 1 / wpp(8 rows)
x265 [warning]: Source height < 720p; disabling lookahead-slices
x265 [info]: Coding QT: max CU size, min CU size : 64 / 8
x265 [info]: Residual QT: max TU size, max depth : 32 / 1 inter / 1 intra
x265 [info]: ME / range / subpel / merge : hex / 57 / 2 / 2
x265 [info]: Keyframe min / max / scenecut : 15 / 250 / 40
x265 [info]: Lookahead / bframes / badapt : 20 / 4 / 2
x265 [info]: b-pyramid / weightp / weightb : 1 / 1 / 0
x265 [info]: References / ref-limit cu / depth : 3 / 1 / 1
x265 [info]: AQ: mode / str / qg-size / cu-tree : 1 / 1.0 / 32 / 1
x265 [info]: Rate Control / qCompress : ABR-9216 kbps / 0.60
x265 [info]: tools: rd=3 psy-rd=2.00 signhide tmvp strong-intra-smoothing
x265 [info]: tools: deblock sao
x265 [info]: frame I: 1, Avg QP:1.89 kb/s: 22236.48
x265 [info]: frame P: 8, Avg QP:6.27 kb/s: 14486.10
x265 [info]: frame B: 21, Avg QP:8.79 kb/s: 12282.91
x265 [info]: Weighted P-Frames: Y:75.0% UV:75.0%
x265 [info]: consecutive B-frames: 11.1% 11.1% 33.3% 22.2% 22.2%
encoded 30 frames in 5.27s (5.69 fps), 13202.21 kb/s, Avg QP:7.89
/tmp/25-11-2019_23:13:04.mov
此外，确保fourcc(在我的情况下为
hvc1，对于HEVC)正确并且容器支持编解码器(在我的情况下，mov)是非常重要的。最终/tmp/test_encoding.py 的内容
#!/bin/python3
import cv2
import time
import subprocess
def video(seconds, frameRate):
cap = cv2.VideoCapture(0)
if(not cap.isOpened()):
return "error"
# Define the codec and create VideoWriter object
fourcc = cv2.VideoWriter_fourcc(*'hvc1')
name = "/tmp/" + time.strftime("%d-%m-%Y_%X")+".mov"
out = cv2.VideoWriter(name, fourcc, frameRate, (640,480))
program_starts = time.time()
result = subprocess.Popen(["ffprobe", name], stdout = subprocess.PIPE, stderr = subprocess.STDOUT, shell=True)
nFrames=0
while(nFrames<seconds*frameRate):
ret, frame = cap.read()
if ret==True:
out.write(frame)
nFrames += 1
else:
break
cap.release()
return name
# Store a video to /tmp for 2 seconds
print(video(2,15))
关于python - 使用OpenCV和ffmpeg后端编码HEVC视频，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/59023363/