FFMPEG has multiple supported deinterlacing filters. Here they are: 10.14 bwdif Deinterlace the input video ("bwdif" stands for "Bob Weaver Deinterlacing Filter"). Motion adaptive deinterlacing based on yadif with the use of w3fdif and cubic interpolation algorithms. It accepts the following parameters: mode The interlacing mode to adopt. It accepts one of the following values: 0, send_frame Output one frame for each frame. 1, send_field Output one frame for each field. The default value is send_field. parity The picture field parity assumed for the input interlaced video. It accepts one of the following values: 0, tff Assume the top field is first. 1, bff Assume the bottom field is first. -1, auto Enable automatic detection of field parity. The default value is auto. If the interlacing is unknown or the decoder does not export this information, top field first will be assumed. deint Specify which frames to deinterlace. Accept ...
Skip to end of metadata o to start of metadata gdb and gdbserver can be used in combination to provide debugging capabilities over the network. gdbserver is run on the machine you want to debug. gdb is run on the machine you want to debug from, usually your local machine. More here . Before we get started, we need some software. Alpine 3.8 will be the gdbserver. NFS We will be using nfs (Network File System) to mount a remote directory and have it look like a local directory. We will cd to the nfs mounted directory which contains the program we want to debug before we launch gdb. This way the program and symbols will match. gdb will be running on your local client, but it will be launched when in a directory on the gdbserver's system. More than you wanted to know about nfs . To set up nfs, you will need nfs software on your server and your client. SERVER (Your Alpine machine) - Ad...
Introduction Video decoding/encoding can take place in the following four types of silicon: 1. General purpose CPU silicon (x86, ARM, SSE, AVX, …) 2. Dedicated CPU silicon (Intel QuickSync, AMD VideoCoreNext) 3. General purpose GPU silicon (cores) (GPGPU, Cuda, OpenCL, Shaders, …) 4. Dedicated GPU silicon (NVidia PureVideo (decode), NVida NVENC (encode)) (Table 1) When video is encoded or decoded any combination of the above silicon can be used. Being this paper is focused on everyday PCs, I’ve left out things like FPGAs, but you could consider an FPGA solution to be more like a general purpose GPU silicon solution. Note, at times this paper uses the term SIP (Semiconductor Intellectual Property core) to denote dedicated encode/decode silicon. Encoding and decoding of video has a defined pipeline: When encoding or decoding video, any one of those colored blocks can be done in hardware or software. Sometimes a full software approach is ...
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