using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 deprecated pixel format used, make sure you did set range correctly Guessed Channel Layout for Input Stream #1.0 : stereo Here's said output for a test I did: ffmpeg version N-91869-g5632044939 Copyright (c) 2000-2018 the FFmpeg developersĬonfiguration: -enable-gpl -enable-version3 -enable-sdl2 -enable-fontconfig -enable-gnutls -enable-iconv -enable-libass -enable-libbluray -enable-libfreetype -enable-libmp3lame -enable-libopencore-amrnb -enable-libopencore-amrwb -enable-libopenjpeg -enable-libopus -enable-libshine -enable-libsnappy -enable-libsoxr -enable-libtheora -enable-libtwolame -enable-libvpx -enable-libwavpack -enable-libwebp -enable-libx264 -enable-libx265 -enable-libxml2 -enable-libzimg -enable-lzma -enable-zlib -enable-gmp -enable-libvidstab -enable-libvorbis -enable-libvo-amrwbenc -enable-libmysofa -enable-libspeex -enable-libxvid -enable-libaom -enable-libmfx -enable-amf -enable-ffnvcodec -enable-cuvid -enable-d3d11va -enable-nvenc -enable-nvdec -enable-dxva2 -enable-avisynthĭuration: 00:00:01.00, start: 0.000000, bitrate: 1031 kb/s format() function, I've tested it with specific files just in the command prompt and I get the same output. The curly brackets are just for python's. They seemed fine until I noticed one was a lot longer than intended, and when I loaded all the videos & songs into VLC, every video was exactly one minute longer than the audio source was.įfmpeg -loop 1 -framerate 1 -i "" There are 739 images in total in our sample video.I've been using FFmpeg to combine an audio file (.wav) and an image (.jpg) into a video (.mp4), the command I looked up seemed to work when testing it, so I tweaked it a bit (mostly just adding the scale argument) to fit that I needed and wrote a python script to run through the whole folder and create the videos. With this, all frames have been extracted from the video and you can now go through each frame in detail. count = 1Ĭv2.imwrite("video_data/image_%d.jpg" % count, image) To read all images, we need to call vidcap.read() repeatly until it returns false. cv2.imwrite("video_data/image_%d.jpg" % count, image) We can save the image as a jpeg image using the imwrite method of OpenCV.
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