Below are the example steps to do object detection:
1. download and install l_openvino_toolkit_p_2021.1.110.tgz from
https://software.intel.com/content/www/us/en/develop/tools/openvino-toolkit/download.html
or, we can get source code (tag 2021.1), build and install.
2. export LD_LIBRARY_PATH with openvino settings, for example:
.../deployment_tools/inference_engine/lib/intel64/:.../deployment_tools/inference_engine/external/tbb/lib/
3. rebuild ffmpeg from source code with configure option:
--enable-libopenvino
--extra-cflags='-I.../deployment_tools/inference_engine/include/'
--extra-ldflags='-L.../deployment_tools/inference_engine/lib/intel64'
4. download model files and test image
wget https://github.com/guoyejun/ffmpeg_dnn/raw/main/models/openvino/2021.1/face-detection-adas-0001.bin
wget https://github.com/guoyejun/ffmpeg_dnn/raw/main/models/openvino/2021.1/face-detection-adas-0001.xml
wget
https://github.com/guoyejun/ffmpeg_dnn/raw/main/models/openvino/2021.1/face-detection-adas-0001.label
wget https://github.com/guoyejun/ffmpeg_dnn/raw/main/images/cici.jpg
5. run ffmpeg with:
./ffmpeg -i cici.jpg -vf dnn_detect=dnn_backend=openvino:model=face-detection-adas-0001.xml:input=data:output=detection_out:confidence=0.6:labels=face-detection-adas-0001.label,showinfo -f null -
We'll see the detect result as below:
[Parsed_showinfo_1 @ 0x560c21ecbe40] side data - detection bounding boxes:
[Parsed_showinfo_1 @ 0x560c21ecbe40] source: face-detection-adas-0001.xml
[Parsed_showinfo_1 @ 0x560c21ecbe40] index: 0, region: (1005, 813) -> (1086, 905), label: face, confidence: 10000/10000.
[Parsed_showinfo_1 @ 0x560c21ecbe40] index: 1, region: (888, 839) -> (967, 926), label: face, confidence: 6917/10000.
There are two faces detected with confidence 100% and 69.17%.
Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
Fixes the following GCC warning:
warning: format ‘%lld’ expects argument of type ‘long long int’,
but argument 4 has type ‘int64_t’ {aka ‘long int’} [-Wformat=]
Reviewed-by: Gyan Doshi <ffmpeg@gyani.pro>
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@outlook.com>
by keeping the variable uint32_t which in this situation is the natural
type anyway. This affected the FATE-test filter-paletteuse-sierra2_4a.
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@gmail.com>
by using a multiplication instead. The multiplication can never overflow
an int because the sin-factor is only an int16_t.
Affected the FATE-tests filter-concat and filter-concat-vfr.
Reviewed-by: Nicolas George <george@nsup.org>
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@gmail.com>
Fixes#9151. The current version of libavfilter/vf_ocr.c does not have white
space in the default whitelist. But it is recommanded to include white
space. See https://github.com/tesseract-ocr/tesseract/issues/2923
Signed-off-by: Marton Balint <cus@passwd.hu>
The uspp filter uses a special option ("no_bitstream") of
the Snow encoder to suppress it from generating output.
The filter therefore did not unref the packet after usage,
believing it to be blank. But this is wrong, as the Snow encoder
attaches quality stats side data to the packet.
Reviewed-by: Michael Niedermayer <michael@niedermayer.cc>
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@gmail.com>
It can't; these are just remnants of commit
3c7cad69f2 which let the worker threads
do the reallocation.
Reviewed-by: Guo, Yejun <yejun.guo@intel.com>
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@gmail.com>
If an error happens when preparing the output data buffer, an already
allocated array would leak. Fix this by postponing its allocation.
Fixes Coverity issue #1473531.
Reviewed-by: Guo, Yejun <yejun.guo@intel.com>
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@gmail.com>
Also fixes a memleak in single-threaded mode when an error happens
in preparing the output data buffer; and also removes an unchecked
allocation.
Reviewed-by: Guo, Yejun <yejun.guo@intel.com>
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@gmail.com>
asserts should not be used instead of ordinary input checks.
Yet the native DNN backend did it: get_input_native() asserted that
the first dimension was one, despite this value coming directly from
the input file without having been sanitized.
Reviewed-by: Guo, Yejun <yejun.guo@intel.com>
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@gmail.com>
Guo, Yejun
Fei Wang
Timo Rothenpieler
Paul B Mahol
Andreas Rheinhardt
Gyan Doshi
Andreas Rheinhardt
Michael Niedermayer
Ting Fu
nyanmisaka
Wenlong Ding
Dominic Mayers
James Almer
