![]() filterscript:streamspecifier filename (output,per-stream). See the -filtercomplex option if you want to create filtergraphs with multiple inputs and/or outputs. FFmpeg is a collection of different projects (libraries and tools) able to. ![]() OpenVINO as a toolkit for optimized neural network performance on Intel hardware was added to FFmpeg for the same reasons there is TensorFlow and others also supported - support for DNN-based video filters and other deep learning processing. K-Lite Codec Pack is a collection of DirectShow filters, VFW/ACM codecs. at all: Invalid output format gray for hwframe download. See the ffmpeg-filters manual for more information about the filtergraph syntax. Earlier this summer Intel engineers added an OpenVINO back-end to the FFmpeg multimedia framework. ![]() With yuv420p16le: input format yuv420p16le not supported Failed to configure output pad on Parsed_hwdownload_2įailed to inject frame into filter network: Invalid argumentĮrror while processing the decoded data for stream #0:0 My source is yuv420p10le, so that is my first choice, but I get this error: Invalid output format yuv420p10le for hwframe download Pretty much every other pixel format I set to format= fails one way or another. I am struggling with use of a CPU based filter - the following works fine: ffmpeg -y -vsync 0 -hwaccel cuda -hwacceloutputformat cuda -i original. vf "hwupload,nlmeans_opencl,hwdownload,format=yuv420p" -an output.mp4 I’m performing a transcoding on home videos for device support using ffmpeg - trying to make the best use of my GPU. So far I have only managed to run nlmeans_opencl filter with the following settings: ffmpeg -init_hw_device opencl=gpu:0.0 -filter_hw_device gpu -i 10bit_input.ts \ ![]()
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