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Ting Fu c38bc5634d dnn/vf_dnn_detect.c: add tensorflow output parse support 
Testing model is tensorflow offical model in github repo, please refer
https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf2_detection_zoo.md
to download the detect model as you need.
For example, local testing was carried on with 'ssd_mobilenet_v2_coco_2018_03_29.tar.gz', and
used one image of dog in
https://github.com/tensorflow/models/blob/master/research/object_detection/test_images/image1.jpg

Testing command is:
./ffmpeg -i image1.jpg -vf dnn_detect=dnn_backend=tensorflow:input=image_tensor:output=\
"num_detections&detection_scores&detection_classes&detection_boxes":model=ssd_mobilenet_v2_coco.pb,\
showinfo -f null -

We will see the result similar as below:
[Parsed_showinfo_1 @ 0x33e65f0]   side data - detection bounding boxes:
[Parsed_showinfo_1 @ 0x33e65f0] source: ssd_mobilenet_v2_coco.pb
[Parsed_showinfo_1 @ 0x33e65f0] index: 0,       region: (382, 60) -> (1005, 593), label: 18, confidence: 9834/10000.
[Parsed_showinfo_1 @ 0x33e65f0] index: 1,       region: (12, 8) -> (328, 549), label: 18, confidence: 8555/10000.
[Parsed_showinfo_1 @ 0x33e65f0] index: 2,       region: (293, 7) -> (682, 458), label: 1, confidence: 8033/10000.
[Parsed_showinfo_1 @ 0x33e65f0] index: 3,       region: (342, 0) -> (690, 325), label: 1, confidence: 5878/10000.

There are two boxes of dog with cores 94.05% & 93.45% and two boxes of person with scores 80.33% & 58.78%.

Signed-off-by: Ting Fu <ting.fu@intel.com>
Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
2021-05-11 10:38:36 +08:00
compat atomics: Fix the win32 atomic_exchange function 2021-04-04 11:06:08 +03:00
doc GSoC: Add guided filter 2021-05-10 13:34:29 +08:00
ffbuild libavresample: Remove deprecated library 2021-04-27 10:43:13 -03:00
fftools ffprobe: support printing more packet side data types 2021-05-09 10:59:21 +02:00
libavcodec avcodec/vp3: Mark decoders as init-threadsafe 2021-05-10 23:13:30 +02:00
libavdevice avformat: move AVStream.{parser,need_parsing} to AVStreamInternal 2021-05-07 09:27:21 -03:00
libavfilter dnn/vf_dnn_detect.c: add tensorflow output parse support 2021-05-11 10:38:36 +08:00
libavformat lavf/framecrcenc: do not hash side data 2021-05-09 11:07:20 +02:00
libavutil mips: Fix potential illegal instruction error. 2021-05-07 17:53:23 +02:00
libpostproc Bump major versions of all libraries. 2021-04-27 11:48:05 -03:00
libswresample Bump major versions of all libraries. 2021-04-27 11:48:05 -03:00
libswscale Bump major versions of all libraries. 2021-04-27 11:48:05 -03:00
presets
tests lavf/framecrcenc: do not hash side data 2021-05-09 11:07:20 +02:00
tools avfilter/dnn/dnn_backend_tf: simplify the code with ff_hex_to_data 2021-04-29 20:02:29 +08:00
.gitattributes
.gitignore
.mailmap mailmap: add entry for myself 2021-03-09 02:09:55 +00:00
.travis.yml
Changelog avcodec: Implement Acorn Replay IMA ADPCM decoder 2021-05-09 17:01:27 +10:00
configure configure: fix some filter dependencies 2021-05-09 10:17:49 +02:00
CONTRIBUTING.md
COPYING.GPLv2
COPYING.GPLv3
COPYING.LGPLv2.1
COPYING.LGPLv3
CREDITS
INSTALL.md
LICENSE.md
MAINTAINERS MAINTAINERS: add myself as adpcm maintainer 2021-03-25 12:51:10 +10:00
Makefile libavresample: Remove deprecated library 2021-04-27 10:43:13 -03:00
README.md
RELEASE Bump Versions before release/4.4 branch 2021-03-20 01:01:12 +01:00

README.md

FFmpeg README

FFmpeg is a collection of libraries and tools to process multimedia content such as audio, video, subtitles and related metadata.

Libraries

  • libavcodec provides implementation of a wider range of codecs.
  • libavformat implements streaming protocols, container formats and basic I/O access.
  • libavutil includes hashers, decompressors and miscellaneous utility functions.
  • libavfilter provides a mean to alter decoded Audio and Video through chain of filters.
  • libavdevice provides an abstraction to access capture and playback devices.
  • libswresample implements audio mixing and resampling routines.
  • libswscale implements color conversion and scaling routines.

Tools

  • ffmpeg is a command line toolbox to manipulate, convert and stream multimedia content.
  • ffplay is a minimalistic multimedia player.
  • ffprobe is a simple analysis tool to inspect multimedia content.
  • Additional small tools such as aviocat, ismindex and qt-faststart.

Documentation

The offline documentation is available in the doc/ directory.

The online documentation is available in the main website and in the wiki.

Examples

Coding examples are available in the doc/examples directory.

License

FFmpeg codebase is mainly LGPL-licensed with optional components licensed under GPL. Please refer to the LICENSE file for detailed information.

Contributing

Patches should be submitted to the ffmpeg-devel mailing list using git format-patch or git send-email. Github pull requests should be avoided because they are not part of our review process and will be ignored.