pyccd exists to provide the simplest possible implementation of ccd.
>>> import ccd
>>> results = ccd.detect(dates, blues, greens, reds, nirs, swir1s, swir2s, thermals, qas)
>>>
>>> type(results)
<class 'dict'>
>>>
>>> results
{algorithm: 'pyccd:x.x.x',
processing_mask: [bool, bool, ...],
snow_prob: float,
water_prob: float,
cloud_prob: float,
change_models: [
{start_day: int,
end_day: int,
break_day: int,
observation_count: int,
change_probability: float,
curve_qa: int,
blue: {magnitude: float,
rmse: float,
coefficients: (float, float, ...),
intercept: float},
green: {magnitude: float,
rmse: float,
coefficients: (float, float, ...),
intercept: float},
red: {magnitude: float,
rmse: float,
coefficients: (float, float, ...),
intercept: float},
nir: {magnitude: float,
rmse: float,
coefficients: (float, float, ...),
intercept: float},
swir1: {magnitude: float,
rmse: float,
coefficients: (float, float, ...),
intercept: float},
swir2: {magnitude: float,
rmse: float,
coefficients: (float, float, ...),
intercept: float},
thermal: {magnitude: float,
rmse: float,
coefficients: (float, float, ...),
intercept: float}}
]
}Default processing parameters can be over-ridden using a dictionary (see parameters.yaml for valid keys):
>>> import ccd
>>> params = {'QA_BITPACKED': False,
'QA_FILL': 255,
'QA_CLEAR': 0,
'QA_WATER': 1,
'QA_SHADOW': 2,
'QA_SNOW': 3,
'QA_CLOUD': 4}
>>> results = ccd.detect(dates, blues, greens, reds, nirs, swir1s, swir2s, thermals, qas, params=params)System requirements (Ubuntu)
- python3-dev
- gfortran
- libopenblas-dev
- liblapack-dev
- graphviz
- python-virtualenv
System requirements (Centos)
- python3-devel
- gfortran
- blas-dev
- lapack-dev
- graphviz
- python-virtualenv
It's highly recommended to do all your development & testing in a virtual environment.
user@dev:/home/user/$ mkdir pyccd
user@dev:/home/user/$ cd pyccd
user@dev:/home/user/pyccd$ virtualenv -p python3 .venv
user@dev:/home/user/pyccd$ . .venv/bin/activate
(.venv) user@dev:/home/user/pyccd$The rest of the command prompts are truncated to $ for readability, but assume an activated virtual environment and pwd as above, or that you know what you are doing.
$ git clone https://github.com/usgs-eros/lcmap-pyccd.gitor if you have ssh keys set up in github:
$ git clone [email protected]:usgs-eros/lcmap-pyccd.gitInstall jupyter notebook and line_profiler
$ pip install -e .[dev]$ pip install -e .[test]$ pytest
$ pytest --profile
$ pytest --profile-svg
# pytest-watch
$ ptwDecorate the function to be profiled with @profile and
run make profile. Remove decorations before committing code.
Contributions to pyccd are most welcome, just be sure to thoroughly review the guidelines first.
PyCCD previously followed MAJOR.MINOR.PATCH.LABEL semantic versioning but has changed to date based semantic versioning, thus: YYYY.MM.DD[.HH.MM.SS][-label].
PyCCD's version is defined by the ccd/version.py/__version__ attribute
ONLY.
See Semantic Versioning.
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