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TopoStats version, this is reported by topostats --version
Operating System and Python Version
Describe the bug
Ideally the feret height profiles are used for "blob" analysis and look for spatial heterogeneity (i.e. ndp52's coiled-coil making it flexible), so one can get an idea of this heterogeneity by plotting the height profiles to see the spread of the data across all identified objects.
However, of the outputs to plot, there is currently only the heights and not the distances to match so plotting these objects at different imaging scales would be difficult.
Copy of the output
N/A
Include the configuration file
No -c used
To Reproduce
Run TopoStats on the default config and the tests/resources/minicircle.spm file.
height_profiles.json keys are img_name -> grain_no, then just the heights array.
This is something I was vaguely aware of when returning the height profiles. One of the problems is that the length of the height profiles are often different, so if you just plot the profile they wouldn't align. My solution at the time was to aligning them on the mid-points and pad shorter arrays to match those of the longest.
But at the time no plots were automatically generated and more pressing work meant I couldn't spend time on it.
There is some discussion in #871 on plotting the heights but it doesn't align the profiles on the mid-points and pad them.
I wouldn't describe this as a bug though #748 was specified, refined and implemented, rather a lack of feature in terms of padding the height arrays to be the same length and automatically generating plots and a further iterative refinement in the requirements to have distances.
Checklist
topostats process --core 1
.topostats --version
Describe the bug
Ideally the feret height profiles are used for "blob" analysis and look for spatial heterogeneity (i.e. ndp52's coiled-coil making it flexible), so one can get an idea of this heterogeneity by plotting the height profiles to see the spread of the data across all identified objects.
However, of the outputs to plot, there is currently only the heights and not the distances to match so plotting these objects at different imaging scales would be difficult.
Copy of the output
N/A
Include the configuration file
No
-c
usedTo Reproduce
Run TopoStats on the default config and the
tests/resources/minicircle.spm
file.height_profiles.json keys are img_name -> grain_no, then just the heights array.
TopoStats Version
Git main branch
Python Version
3.11
Operating System
MacOS M1/M2 (post-2021)
Python Packages
absl-py==2.1.0
accessible-pygments==0.0.5
AFMReader==0.0.1
alabaster==0.7.16
appnope==0.1.4
astroid==3.1.0
asttokens==2.4.1
astunparse==1.6.3
babel==2.16.0
backcall==0.2.0
beautifulsoup4==4.12.3
biopython==1.84
black==24.4.2
certifi==2024.7.4
cfgv==3.4.0
charset-normalizer==3.3.2
cheap-repr==0.5.1
click==8.1.7
cloudpickle==3.0.0
comm==0.2.2
contourpy==1.2.1
coverage==7.5.1
cycler==0.12.1
debugpy==1.8.1
decorator==5.1.1
dill==0.3.8
distlib==0.3.8
docutils==0.20.1
entrypoints==0.4
et-xmlfile==1.1.0
exceptiongroup==1.2.1
execnet==2.1.1
executing==2.0.1
filelock==3.14.0
filetype==1.2.0
flatbuffers==24.3.25
fonttools==4.51.0
gast==0.6.0
google-pasta==0.2.0
grpcio==1.66.2
h5py==3.11.0
identify==2.5.36
idna==3.8
igor2==0.5.6
imageio==2.34.1
imagesize==1.4.1
iniconfig==2.0.0
ipykernel==6.29.4
ipython==8.24.0
isort==5.13.2
jedi==0.19.1
Jinja2==3.1.4
joblib==1.4.2
jupyter_client==7.4.9
jupyter_core==5.7.2
keras==3.5.0
kiwisolver==1.4.5
lazy_loader==0.4
libclang==18.1.1
llvmlite==0.43.0
loguru==0.7.2
Markdown==3.7
markdown-it-py==3.0.0
MarkupSafe==2.1.5
matplotlib==3.8.4
matplotlib-inline==0.1.7
mccabe==0.7.0
mdit-py-plugins==0.4.1
mdurl==0.1.2
ml-dtypes==0.4.1
mypy-extensions==1.0.0
myst-parser==4.0.0
namex==0.0.8
nest-asyncio==1.6.0
networkx==3.3
nodeenv==1.8.0
numba==0.60.0
numpy==1.26.4
numpydoc==1.8.0
numpyencoder==0.3.0
openpyxl==3.1.5
opt_einsum==3.4.0
optree==0.12.1
packaging==24.0
pandas==2.2.2
parso==0.8.4
pathspec==0.12.1
pexpect==4.9.0
pickleshare==0.7.5
pillow==10.3.0
platformdirs==4.2.1
pluggy==1.5.0
pockets==0.9.1
pre-commit==3.7.0
prompt-toolkit==3.0.43
protobuf==4.25.5
psutil==5.9.8
ptyprocess==0.7.0
pure-eval==0.2.2
pydata-sphinx-theme==0.15.4
pyfiglet==1.0.2
Pygments==2.18.0
pylint==3.1.0
pyparsing==3.1.2
pyspm==0.6.1
pytest==7.4.4
pytest-cov==5.0.0
pytest-durations==1.2.0
pytest-github-actions-annotate-failures==0.2.0
pytest-lazy-fixture==0.6.3
pytest-mpl==0.17.0
pytest-regtest==2.1.1
pytest-testmon==2.1.1
pytest-xdist==3.6.1
python-dateutil==2.9.0.post0
pytz==2024.1
pyupgrade==3.15.2
PyYAML==6.0.1
pyzmq==26.0.3
requests==2.32.3
rich==13.9.1
ruamel.yaml==0.18.6
ruamel.yaml.clib==0.2.8
schema==0.7.7
scikit-image==0.23.2
scikit-learn==1.4.2
scipy==1.13.0
seaborn==0.13.2
six==1.16.0
skan==0.11.1
snakeviz==2.2.0
snoop==0.4.3
snowballstemmer==2.2.0
soupsieve==2.6
Sphinx==7.4.7
sphinx-autoapi==3.2.1
sphinx-autodoc-typehints==2.2.3
sphinx-markdown-tables==0.0.17
sphinx-multiversion==0.2.4
sphinx-rtd-theme==2.0.0
sphinxcontrib-applehelp==2.0.0
sphinxcontrib-devhelp==2.0.0
sphinxcontrib-htmlhelp==2.1.0
sphinxcontrib-jquery==4.1
sphinxcontrib-jsmath==1.0.1
sphinxcontrib-mermaid==0.9.2
sphinxcontrib-napoleon==0.7
sphinxcontrib-qthelp==2.0.0
sphinxcontrib-serializinghtml==2.0.0
spyder-kernels==2.3.3
stack-data==0.6.3
tabulate==0.9.0
tensorboard==2.17.1
tensorboard-data-server==0.7.2
tensorflow==2.17.0
tensorflow-io-gcs-filesystem==0.37.1
termcolor==2.4.0
threadpoolctl==3.5.0
tifffile==2024.5.3
tokenize-rt==5.2.0
tomli==2.0.1
tomlkit==0.12.5
toolz==0.12.1
topofileformats==0.1.0
topoly==1.0.2
-e git+https://github.com/AFM-SPM/TopoStats.git@8429156aaf8f6ea63beccb8941d1ee8c31624f27#egg=topostats
tornado==6.4
tqdm==4.66.4
traitlets==5.14.3
typing_extensions==4.11.0
tzdata==2024.1
urllib3==2.2.2
virtualenv==20.26.1
wcwidth==0.2.13
Werkzeug==3.0.4
wrapt==1.16.0
wurlitzer==3.1.0
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