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imagestitch's Issues

using a lot of memory

你好,非常感谢你的项目,他对我非常有用。但是我在使用中发现了一些问题(我在linux下使用),希望请指教!
1、如果在拼接图像过程前,使用numpy生成初始化图像的话,那么在拼接时,内存占用量会非常高(我有20x20张图片,每张图片尺寸为2448x2048,在拼接过程中内存占用量达到60G左右),如果图片过多有时候会出现MemoryError,请问有什么好的解决方法吗?
2、请问有没有可能对拼接的步骤进行优化加速?

再次谢谢您的帮助

requirements.txt

requirements.txt
如何批量删除 类似于 @ file:///C:/ci/astroid_1592495992870/work @ file:///tmp/build/80754af9/autopep8_1592412889138/work


alabaster==0.7.12
anaconda-client==1.7.2
anaconda-project==0.8.3
argh==0.26.2
asn1crypto==1.3.0
astroid @ file:///C:/ci/astroid_1592495992870/work
astropy==4.0.1.post1
atomicwrites==1.4.0
attrs==19.3.0
autopep8 @ file:///tmp/build/80754af9/autopep8_1592412889138/work
Babel==2.8.0
backcall==0.2.0
backports.shutil-get-terminal-size==1.0.0
bcrypt==3.1.7
beautifulsoup4==4.9.1
bitarray @ file:///C:/ci/bitarray_1594753995860/work
bkcharts==0.2
bleach==3.1.5
bokeh @ file:///C:/ci/bokeh_1593187680264/work
boto==2.49.0
Bottleneck==1.3.2
brotlipy==0.7.0
certifi==2020.12.5
cffi==1.14.0
chardet==3.0.4
click==7.1.2
cloudpickle @ file:///tmp/build/80754af9/cloudpickle_1594141588948/work
clyent==1.2.2
colorama==0.4.3
comtypes==1.1.7
contextlib2==0.6.0.post1
contextvars==2.4
cryptography==2.9.2
cycler==0.10.0
Cython @ file:///C:/ci/cython_1594834059511/work
cytoolz==0.10.1
dask @ file:///tmp/build/80754af9/dask-core_1594156306305/work
decorator==4.4.2
defusedxml==0.6.0
diff-match-patch @ file:///tmp/build/80754af9/diff-match-patch_1594828741838/work
distributed @ file:///C:/ci/distributed_1594740075051/work
docutils==0.16
entrypoints==0.3
et-xmlfile==1.0.1
fastcache==1.1.0
filelock==3.0.12
flake8==3.8.3
Flask==1.1.2
fsspec==0.7.4
future==0.18.2
gevent @ file:///C:/ci/gevent_1593010720265/work
glob2==0.7
gmpy2==2.0.8
greenlet==0.4.16
h5py==2.10.0
HeapDict==1.0.1
html5lib @ file:///tmp/build/80754af9/html5lib_1593446221756/work
idna @ file:///tmp/build/80754af9/idna_1593446292537/work
imageio @ file:///tmp/build/80754af9/imageio_1594161405741/work
imagesize==1.2.0
immutables @ file:///C:/ci/immutables_1592426094604/work
importlib-metadata @ file:///C:/ci/importlib-metadata_1593431910144/work
intervaltree @ file:///tmp/build/80754af9/intervaltree_1594361675072/work
ipykernel @ file:///C:/ci/ipykernel_1594830088120/work/dist/ipykernel-5.3.2-py3-none-any.whl
ipython @ file:///C:/ci/ipython_1593446240034/work
ipython-genutils==0.2.0
ipywidgets==7.5.1
isort==4.3.21
itsdangerous==1.1.0
jdcal==1.4.1
jedi @ file:///C:/ci/jedi_1592841982010/work
Jinja2==2.11.2
joblib @ file:///tmp/build/80754af9/joblib_1594236160679/work
json5==0.9.5
jsonschema==3.2.0
jupyter==1.0.0
jupyter-client @ file:///tmp/build/80754af9/jupyter_client_1594826976318/work
jupyter-console==6.1.0
jupyter-core==4.6.3
jupyterlab==2.1.5
jupyterlab-server @ file:///tmp/build/80754af9/jupyterlab_server_1594164409481/work
keyring @ file:///C:/ci/keyring_1593109797081/work
kiwisolver==1.2.0
lazy-object-proxy==1.4.3
libarchive-c==2.9
llvmlite==0.33.0+1.g022ab0f
locket==0.2.0
lxml @ file:///C:/ci/lxml_1594821524941/work
MarkupSafe==1.1.1
matplotlib @ file:///C:/ci/matplotlib-base_1592846129657/work
mccabe==0.6.1
menuinst==1.4.16
mistune==0.8.4
mkl-fft==1.0.14
mkl-random==1.0.4
mkl-service==2.3.0
mock==4.0.2
more-itertools==8.4.0
mpmath==1.1.0
msgpack==1.0.0
multipledispatch==0.6.0
nbconvert==5.6.1
nbformat==5.0.7
networkx @ file:///tmp/build/80754af9/networkx_1594377231366/work
nltk @ file:///tmp/build/80754af9/nltk_1592496090529/work
nose==1.3.7
notebook==6.0.3
numba==0.50.1
numexpr==2.7.1
numpy==1.19.5
numpydoc @ file:///tmp/build/80754af9/numpydoc_1594166760263/work
olefile==0.46
opencv-contrib-python==3.3.1.11
opencv-python==3.3.1.11
openpyxl @ file:///tmp/build/80754af9/openpyxl_1594167385094/work
packaging==20.4
pandas @ file:///C:/ci/pandas_1608056614942/work
pandocfilters==1.4.2
paramiko==2.7.1
parso==0.7.0
partd==1.1.0
path==13.1.0
pathlib2==2.3.5
pathtools==0.1.2
patsy==0.5.1
pep8==1.7.1
pexpect==4.8.0
pickleshare==0.7.5
Pillow @ file:///C:/ci/pillow_1594299032796/work
pkginfo==1.5.0.1
pluggy==0.13.1
ply==3.11
prometheus-client==0.8.0
prompt-toolkit==3.0.5
psutil==5.7.0
py @ file:///tmp/build/80754af9/py_1593446248552/work
pycodestyle==2.6.0
pycosat==0.6.3
pycparser @ file:///tmp/build/80754af9/pycparser_1594388511720/work
pycrypto==2.6.1
pycurl==7.43.0.5
pydocstyle @ file:///tmp/build/80754af9/pydocstyle_1592848020240/work
pyflakes==2.2.0
Pygments==2.6.1
pylint @ file:///C:/ci/pylint_1592499115540/work
PyNaCl @ file:///C:/ci/pynacl_1595009245871/work
pyodbc===4.0.0-unsupported
pyOpenSSL @ file:///tmp/build/80754af9/pyopenssl_1594392929924/work
pyparsing==2.4.7
pyreadline==2.1
pyrsistent==0.16.0
PySocks==1.7.1
pytest==5.4.3
python-dateutil==2.8.1
python-jsonrpc-server @ file:///tmp/build/80754af9/python-jsonrpc-server_1594397536060/work
python-language-server @ file:///C:/ci/python-language-server_1594159702692/work
pytz==2020.1
PyWavelets==1.1.1
pywin32==227
pywin32-ctypes==0.2.0
pywinpty==0.5.7
PyYAML==5.3.1
pyzmq==19.0.1
QDarkStyle==2.8.1
QtAwesome==0.7.2
qtconsole @ file:///tmp/build/80754af9/qtconsole_1592848611704/work
QtPy==1.9.0
regex @ file:///C:/ci/regex_1593422126140/work
requests @ file:///tmp/build/80754af9/requests_1592841827918/work
rope==0.17.0
Rtree==0.9.4
ruamel-yaml==0.15.87
scikit-image==0.16.2
scikit-learn @ file:///C:/ci/scikit-learn_1621370577507/work
scipy @ file:///C:/ci/scipy_1597675683670/work
seaborn==0.10.1
Send2Trash==1.5.0
simplegeneric==0.8.1
singledispatch==3.4.0.3
six==1.15.0
snowballstemmer==2.0.0
sortedcollections==1.2.1
sortedcontainers==2.2.2
soupsieve==2.0.1
Sphinx @ file:///tmp/build/80754af9/sphinx_1594223420021/work
sphinxcontrib-applehelp==1.0.2
sphinxcontrib-devhelp==1.0.2
sphinxcontrib-htmlhelp==1.0.3
sphinxcontrib-jsmath==1.0.1
sphinxcontrib-qthelp==1.0.3
sphinxcontrib-serializinghtml==1.1.4
sphinxcontrib-websupport @ file:///tmp/build/80754af9/sphinxcontrib-websupport_1593446360927/work
spyder @ file:///C:/ci/spyder_1594825773579/work
spyder-kernels @ file:///C:/ci/spyder-kernels_1594744032862/work
SQLAlchemy @ file:///C:/ci/sqlalchemy_1593446399229/work
statsmodels==0.11.1
sympy @ file:///C:/ci/sympy_1594234721190/work
tables==3.6.1
tblib==1.6.0
terminado==0.8.3
testpath==0.4.4
threadpoolctl @ file:///tmp/tmp9twdgx9k/threadpoolctl-2.1.0-py3-none-any.whl
toml @ file:///tmp/build/80754af9/toml_1592853716807/work
toolz==0.10.0
tornado==6.0.4
tqdm @ file:///tmp/build/80754af9/tqdm_1593446365756/work
traitlets==4.3.3
typed-ast==1.4.1
typing-extensions @ file:///tmp/build/80754af9/typing_extensions_1592847887441/work
ujson==1.35
unicodecsv==0.14.1
urllib3==1.25.9
watchdog @ file:///C:/ci/watchdog_1593446204230/work
wcwidth @ file:///tmp/build/80754af9/wcwidth_1593447189090/work
webencodings==0.5.1
Werkzeug==1.0.1
widgetsnbextension==3.5.1
win-inet-pton==1.1.0
win-unicode-console==0.5
wincertstore==0.2
wrapt==1.11.2
xlrd==1.2.0
XlsxWriter==1.2.9
xlwings==0.19.5
xlwt==1.3.0
yapf @ file:///tmp/build/80754af9/yapf_1593528177422/work
zict==2.0.0
zipp==3.1.0
zope.event==4.4
zope.interface==4.7.1

Issue in requirements.txt

In requirement.txt the files are not available. how to run this ERROR: Could not install packages due to an OSError: [Errno 2] No such file or directory: 'C:\ci\astroid_1592495992870\work'

not able to run on ubuntu.

I am trying to run this on ubuntu22 but getting following error.
ERROR: Could not install packages due to an OSError: [Errno 2] No such file or directory: '/C:/ci/astroid_1592495992870/work'
i dont have any information about this bug. so any help will be greatly appricated.

GPU usage failed

Hello, I am getting an error when calling the pyd file, suggesting that the DLL file is missing, I would like to ask you how to solve it, thank you.
MISSING:
OPENCV_CORE331.DLL
OPENCV_CUDAFEATURES2D331.DLL
OPENCV_XFEATURES2D331.DLL
API-MAPI-MS-WIN-CORE-WINRT-L1-1-0.DLL
S-WIN-APPMODEL-RUNTIME-L1-1-0.DLL

Documentation for use of VFSMS

Hi it's a really nice and interesting repo. Could you provide a documentation on how to use VFSMS . That would be really appreciated as I need to experiment with VFSMS on the images for my project.
Thnx in advance!!

myGpuFeatures,ImportError: DLL load failed: 找不到指定的模块。

解压了在根目录 myGpuFeatures
D:\ImageStitch\myGpuFeatures

python Main.py

Traceback (most recent call last):
  File "Main.py", line 1, in <module>
    from Stitcher import Stitcher
  File "D:\ImageStitch\Stitcher.py", line 10, in <module>
    import ImageUtility as Utility
  File "D:\ImageStitch\ImageUtility.py", line 4, in <module>
    from myGpuFeatures import myGpuFeatures
ImportError: DLL load failed: 找不到指定的模块。

Output is not correct

I read this is specially for microscopic images but this is not working on my images. I'm working on breast cancer image analysis. I'm attaching images too. Hoping you would have some solution. Thank you.

stitching_result_1_5
IMG20200624112908
IMG20200624112911

Support for RGB images

Really great software, I'm currently using it to stitch aerial pictures taken from a moving camera. Even though it's not its intended use it works really well. Could you make full-color pictures supported? Because I've tried to change cv2.IMREAD_GRAYSCALE to cv2.IMREAD_COLOR and it throws an error. Probably because the NumPy array is one dimensional. If you tell me how to do it I can make the changes myself. Thanks.

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