71 lines
2.3 KiB
Markdown
71 lines
2.3 KiB
Markdown
# DBM Open Source Lib
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---------------------------------------------
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Installation - Dev Mode
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---------------------------------------------
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- Clone repo from github
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git clone https://github.com/AiCure/open_dbm.git
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- Prepare a python 3 virtualenv
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pip install virtualenv (optional, only needed if it's not installed)
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virtualenv <your_env_name>
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source <your_env_name>/bin/activate
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- Install package
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pip install -r requirements.txt
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sudo apt-get -y install ffmpeg
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- Install Openface 2.0.6 (follow below installation steps)
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cd pkg/OpenFace
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bash download_models.sh
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bash install.sh
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---------------------------------------------
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Documentation
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---------------------------------------------
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Please add documentation link here
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---------------------------------------------
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Example usage
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---------------------------------------------
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- Process video/audio file or directory
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python process_data.py --input_path abc.mp4 --output_path data/output --dbm_group acoustic facial movement
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```
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where,
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input_path: Required – Path of the file being processed. This can be either an .mp4 file or a .wav file.
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output_raw_path: Required – Path where the raw variable data will be stored.
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output_derived_path: Optional - Path to store derived variable. If not specified, derived variables won't be calculated.
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dbm_group: Optional –
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Type of variables to calculate. If not specified, all variables will be calculated. The following inputs are acceptable:
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- facial, in which case only facial variables are calculated
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- acoustic, in which case only acoustic variables are calculated
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- movement, in which case only movement variables are calculated
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If the input_path was a .wav file, then only acoustic variables can be calculated. If otherwise, a warning message will be printed.
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```
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---------------------------------------------
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Installation - docker container mode
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---------------------------------------------
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- Build docker image
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docker build --tag dbm .
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- Run container
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bash process_dbm.sh --input_path=/Users/vijayyadev/Desktop/input_vid --output_path=/Users/vijayyadev/Desktop/out --dbm_group="facial acoustic movement"
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