Doing this with REDUCE_FORMATS() instead of swap_color_*() is not only
shorter, but more importantly comes with the benefit of being done
inside a loop, allowing us to correctly propagate complex graphs
involving multiple conversion filters (e.g. -vf scale,zscale).
The latter family of swapping functions is only used to settle the
best *remaining* entry if no exact match was found, and as such was
never the correct solution to YUV colorspaces, which only care about
exact matches.
- Properly initialize all the mappings to -1 by default.
- Make sure every output channel is assigned exactly once
- Autodetect a native layout when only native channels are present
- Always honor the user specified layout, but make sure the mapping is
compatible with it
The last item is a regression from 4af412be71.
Signed-off-by: Marton Balint <cus@passwd.hu>
In this case in_channel_idx was never set and the default 0 was used.
Suprisingly no one noticed that the respective fate test output was wrong.
Signed-off-by: Marton Balint <cus@passwd.hu>
PyTorch is an open source machine learning framework that accelerates
the path from research prototyping to production deployment. Official
website: https://pytorch.org/. We call the C++ library of PyTorch as
LibTorch, the same below.
To build FFmpeg with LibTorch, please take following steps as
reference:
1. download LibTorch C++ library in
https://pytorch.org/get-started/locally/,
please select C++/Java for language, and other options as your need.
Please download cxx11 ABI version:
(libtorch-cxx11-abi-shared-with-deps-*.zip).
2. unzip the file to your own dir, with command
unzip libtorch-shared-with-deps-latest.zip -d your_dir
3. export libtorch_root/libtorch/include and
libtorch_root/libtorch/include/torch/csrc/api/include to $PATH
export libtorch_root/libtorch/lib/ to $LD_LIBRARY_PATH
4. config FFmpeg with ../configure --enable-libtorch \
--extra-cflag=-I/libtorch_root/libtorch/include \
--extra-cflag=-I/libtorch_root/libtorch/include/torch/csrc/api/include \
--extra-ldflags=-L/libtorch_root/libtorch/lib/
5. make
To run FFmpeg DNN inference with LibTorch backend:
./ffmpeg -i input.jpg -vf \
dnn_processing=dnn_backend=torch:model=LibTorch_model.pt -y output.jpg
The LibTorch_model.pt can be generated by Python with torch.jit.script()
api. https://pytorch.org/tutorials/advanced/cpp_export.html. This is
pytorch official guide about how to convert and load torchscript model.
Please note, torch.jit.trace() is not recommanded, since it does
not support ambiguous input size.
Signed-off-by: Ting Fu <ting.fu@intel.com>
Signed-off-by: Wenbin Chen <wenbin.chen@intel.com>
Reviewed-by: Guo Yejun <yejun.guo@intel.com>
All versions of MSVC that support C11 (namely >= v19.27)
also support the restrict keyword, therefore av_restrict
is no longer necessary since 75697836b1.
Reviewed-by: Martin Storsjö <martin@martin.st>
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@outlook.com>
At present, consume_update evaluates timeline state on all links for
a multi-input filter. This can lead to the filter being incorrectly
en/dis-abled when evaluation on a frame on a secondary link leads to
a different result than the frame on the current main link next in
line for processing.
In some builds, the following object files could be left behind
after make clean:
./libavfilter/metal/utils.o
./libavfilter/metal/vf_yadif_videotoolbox.metallib.o
./libavcodec/x86/h26x/h2656dsp.o
./libavcodec/neon/mpegvideo.o
./ffbuild/bin2c_host.o
Fixes: http://trac.ffmpeg.org/ticket/10895
Signed-off-by: Martin Storsjö <martin@martin.st>
src/libavfilter/internal.h:255:45: note: passing argument to parameter 'filter' here
int ff_filter_config_links(AVFilterContext *filter);
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@outlook.com>
Previously to support dynamic reconfigurations of the matrix string (e.g. 0m),
the rdiv values would always be cleared to 0.f, causing the rdiv to be
recalculated based on the new filter. This however had the side effect of
always ignoring user specified rdiv values.
Instead float user_rdiv[0] is added to ConvolutionContext which will store the
user specified rdiv values. Then the original rdiv array will store either the
user_rdiv or the automatically calculated 1/sum.
This fixes trac ticket #10294, #10867.
Signed-off-by: Stone Chen <chen.stonechen@gmail.com>
Signed-off-by: Marton Balint <cus@passwd.hu>
Avoids ugly casts when uninitializing.
(One could actually avoid allocating this separately if one
were willing to expose FFFramePool to those files including
link_internal.h.)
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@outlook.com>
Also make FFFilterGraph.sink_links a FilterLinkInternal**
because sink_links is used to access FilterLinkInternal
fields.
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@outlook.com>
(These fields were in AVFilterGraph although AVFilterGraphInternal
existed for years.)
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@outlook.com>
To do this, allocate AVFilterGraphInternal jointly with AVFilterGraph
and rename it to FFFilterGraph in the process (similarly to
AVStream/FFStream).
The AVFilterGraphInternal* will be removed on the next major version
bump.
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@outlook.com>
This commit moves the generic-layer stuff (that is not used
by filters) to a new header of its own, similarly to
5e7b5b0090 for libavcodec.
thread.h and link_internal.h are merged into this header.
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@outlook.com>
To do this, allocate AVFilterInternal jointly with AVFilterContext
and rename it to FFFilterContext in the process (similarly to
AVStream/FFStream).
The AVFilterInternal* will be removed from AVFilterContext
on the next major bump.
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@outlook.com>
These logs use the wrong loglevel and are uninformative;
and it is of course highly unlikely that a buffer of 56B
can't be allocated.
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@outlook.com>
Michael Niedermayer
Niklas Haas
Marton Balint
Henrik Gramner
Wenbin Chen
Timo Rothenpieler
Andreas Rheinhardt
Rajiv Harlalka
Gyan Doshi
Martin Storsjö
联盟少侠
Anton Khirnov
Haihao Xiang
James Almer
Andrew Sayers
Zhao Zhili
Fei Wang
Stone Chen