Camera Movements Classification Package
Project description
Plugin package: Camera Movements Classification
This package includes all methods to classify a given shot/or image sequence in one of the categories Pan, Tilt or NA.
Package Description
PDF format: vhh_cmc_pdf
HTML format (only usable if repository is available in local storage): vhh_cmc_html
Quick Setup
Requirements:
- Ubuntu 18.04 LTS
- python version 3.6.x
0 Environment Setup (optional)
Create a virtual environment:
- create a folder to a specified path (e.g. /xxx/vhh_cmc/)
- python3 -m venv /xxx/vhh_cmc/
Activate the environment:
- source /xxx/vhh_cmc/bin/activate
1A Install using Pip
The VHH Shot Boundary Detection package is available on PyPI and can be installed via pip
.
- Update pip and setuptools (tested using pip==20.2.3 and setuptools==50.3.0)
pip install vhh-cmc
Alternatively, you can also build the package from source.
1B Install by building from Source
Checkout vhh_cmc repository to a specified folder:
- git clone https://github.com/dahe-cvl/vhh_cmc
Install the cmc package and all dependencies:
- Update
pip
andsetuptools
(tested using pip==20.2.3 and setuptools==50.3.0) - Install the
wheel
package:pip install wheel
- change to the root directory of the repository (includes setup.py)
python setup.py bdist_wheel
- The aforementioned command should create a /dist directory containing a wheel. Install the package using
python -m pip install dist/xxx.whl
NOTE: You can check the success of the installation by using the commend pip list. This command should give you a list with all installed python packages and it should include vhh-cmc.
2 Setup environment variables (optional)
- source /data/dhelm/python_virtenv/vhh_sbd_env/bin/activate
- export CUDA_VISIBLE_DEVICES=0
- export PYTHONPATH=$PYTHONPATH:/XXX/vhh_cmc/:/XXX/vhh_cmc/Develop/:/XXX/vhh_cmc/Demo/
3 Run demo script (optional)
- change to root directory of the repository
- python Demo/vhh_cmc_run_on_single_video.py
Release Generation
- Create and checkout release branch: (e.g. v1.1.0):
git checkout -b v1.1.0
- Update version number in setup.py
- Update Sphinx documentation and release version
- Make sure that
pip
andsetuptools
are up to date - Install
wheel
andtwine
- Build Source Archive and Built Distribution using
python setup.py sdist bdist_wheel
- Upload package to PyPI using
twine upload dist/*
Evaluation & Results
Experiment: "../cmc_eval_20210614/vhhmmsi_eval_db_part4/vhhmmsi_eval_db_2"
parameters | values |
---|---|
mvi_mv_ratio | 0.2 |
threshold_significance | 2.0 |
threshold_consistency | 2.3 |
mvi_window_size | 10 |
region_window_size | 5 |
precision | recall | f1-score | accuracy | |
---|---|---|---|---|
exp02 | 0.7293 | 0.7244 | 0.7181 | 0.7093 |
Project details
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