Now, to make all pixels transparent outside of the contour, you could do something like this: If you could make all pixels outside of the contour transparent then you could use CIKmeans filter with inputCount equal 1 and the inputExtent set to the extent of the frame to get the average color of the area inside the contour (the output of the filter will contain 1-pixel image and the color of the pixel is what you are looking for). ModuleNotFoundError: No module named 'visions.application' ~\Anaconda3\lib\site-packages\pandas_profiling\model\summary.py in ġ2 from import chisquare ~\Anaconda3\lib\site-packages\pandas_profiling\model\describe.py in ĩ from pandas_ import Variableġ0 from pandas_ import calculate_correlation > 11 from pandas_ import describe as describe_dfġ2 from pandas_ import MessageTypeġ3 from pandas_profiling.report import get_report_structure ~\Anaconda3\lib\site-packages\pandas_profiling\profile_report.py in ġ0 from pandas_nfig import config > 8 from pandas_profiling.profile_report import ProfileReport > 4 from pandas_profiling._init_ import ProfileReportħ from pandas_ntroller import pandas_decorator ~\Anaconda3\lib\site-packages\pandas_profiling\controller\pandas_decorator.py in > 7 from pandas_ntroller import pandas_decoratorĨ from pandas_profiling.profile_report import ProfileReportĩ from pandas_profiling.version import _version_ ~\Anaconda3\lib\site-packages\pandas_profiling\_init_.py in Ħ from pandas_nfig import Config, config > 3 from pandas_profiling import ProfileReport Also be aware that some people are not fans because it is a KDE project that doesn't integrate totally with other desktop environments and it tries to be an all in one application with image download, catalogue / keywording, RAW development, image maniplation and more included.ModuleNotFoundError Traceback (most recent call last)
Though the generation of the "signature's" and cross checking of them on a large number of images can be a slow process. This technique has three implementations in digiKam. The less numerical difference there is between any two image signatures, the more they resemble each other. (It also has an advanced setting allowing multiple boolean searches)ĭigiKam characterizes every image by a lengthy number using a special technique (Haar algorithm) that makes it possible to compare images by comparing this calculated signature.
For instance, you can enter the string 'birthday' to search the complete database for occurrences of the word 'birthday' in all metadata text fields, or '05.png' to search for a specific image file name '05.png' (no escaping as in regexpressions needed). You can enter any arguments in the Search: text field and it will be used to determine the results. Quick Search is the adaptive search box at the top of the search dialog (Left Sidebar) and provides you with a simple means to search the digiKam database with a single query. With the three buttons in the top right corner you can choose between a simple list of the saved versions, a tree view and a combined list that shows the versions together with the actions performed with the selected photograph. The Versions tab shows the history and the saved versions of a photograph.
Digikam (linux, windows and mac) has a sidebar titled versions