Deepomatic CLI
Project description
deepomatic-command-line-interface
Deepomatic Command Line Interface.
This command line interface has been made to help you interact with our services via the command line.
CLI Documentation
Find the complete documentation at docs.deepomatic.com/deepomatic-cli/
Installation
pip install deepomatic-cli
If you need rpc support, prefer:
# requires deeomatic-rpc package to be installed
pip install deepomatic-cli[rpc]
Autocompletion
To activate the autocompletion the easiest way is to add the following line to your shell config file:
eval "$(register-python-argcomplete deepo)"
For example if you use bash:
cat <<"EOF" >> ~/.bashrc
# activate deepomatic-cli autocomplete
eval "$(register-python-argcomplete deepo)"
EOF
(If it slows down your shell startup too much, you can pre-generate the completion into a static file then source it in your .bashrc
: that doesn't change when deepo-cli is updated (except when updating argcomplete
itself).)
For more information, checkout the documentation of argcomplete
FAQ
opencv-python
(-headless) installation takes forever
Depending on your pip version, it might rebuild it from source. 19.3 is the minimum supported version
- Check version with
pip -V
- Update with
pip install 'pip>=19.3'
Window output doesn't work. I get a cv2.error
.
deepomatic-cli
ships with opencv-python-headless
as most of the features don't need a GUI.
This also avoids requiring libGL on the system (it is for example usually not there in docker containers).
If you want to use the GUI features, we recommend installing opencv-python
after installing deepomatic-cli
:
pip install deepomatic-cli
opencv_install=$(pip3 freeze | grep opencv-python-headless | sed 's/-headless//g')
pip uninstall opencv-python-headless
pip install $opencv_install
About the output video codec
The CLI makes heavy use of OpenCV which does not provide the ability to configure the video encoder settings. We can choose the codec to use (FourCC), but we can't choose the bitrate, quality, number of pass, profile or any other settings. The quality chosen by OpenCV remains a small mystery, it seems to vary depending on the codec.
If for some reason the output video encoding does not suit you (too heavy, bad quality), here are our options:
Changing the FourCC
Set the --fourcc
option of the CLI. The opencv-python
package only provide the codecs which have a free license.
This means you will not be able to choose avc1
or hevc
. We provide a dockerfile and an installation script to rebuild opencv-python
with x264 encoder (corresponding to acv1
FourCC).
The readme can be found here. Please makes sure you can use it (it is patented and not free).
If you are on windows, there is an alternative using openh264:
- Download the library (should work with openh264-1.7.0-win64.dll.bz2)
- Extract the archive in
C:\Windows\System32
or in the same directory where the CLI command is launched
Piping to ffmpeg or cvlc
If you want more freedom on the encoding settings, we suggest piping the CLI to ffmpeg
or cvlc
by using the option -o stdout
(working with infer, draw, blur and noop commands).
In both case you need to tell ffmpeg
or cvlc
about the resolution, framerate and color space of the input stream.
You can use ffprobe
or mediainfo
to get the resolution and framerate of your input video.
The color space (chroma) does not depend on your input video but on our CLI which by default output BGR color space.
Again, make sure you can legally use the codec specified in the command.
Example using ffmpeg
deepo platform model draw -i $input_video_path -o stdout -r $model_id | ffmpeg -f rawvideo -pixel_format bgr24 -video_size 1280x720 -framerate 15 -i - -c:v $codec $output_video_path
Example using cvlc
BGR color space is not supported by cvlc
, so we have to convert the stream to RGB
.
deepo platform model draw -i $input_video_path -o stdout -r $model_id --output_color_space RGB | cvlc --demux=rawvideo --rawvid-fps=15 --rawvid-width=1280 --rawvid-height=720 --rawvid-chroma=RV24 - --sout "#transcode{vcodec=$codec}:std{access=file,dst=$output_video_path}" vlc://quit
Bugs
Please send bug reports to support@deepomatic.com
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