[ ] To do: As a fisheries scientist, John wants to go through all of the regions marked as “hake” by another colleague, so that he can verify the identification.
Plot histogram from the polygon (non-rectangular) region
Make toy csv files containing some boxes or polygons, or lasso
Region_slider = pd.read_csv(toy_csvs)
I would like to propose a new feature that allows users to verify the identification of hake regions marked by another colleague. To facilitate this verification process, I suggest implementing a functionality that plots a histogram specifically for the fish density within non-rectangular polygons. This enhancement would enable me to assess the accuracy of the hake identification and ensure the reliability of the marked regions.
Users should be able to load the hake regions marked by a colleague, probably in a CSV format, which contains the coordinates defining the non-rectangular polygons or lasso selections.
Echoshader should provide a feature to plot a histogram of fish density within each defined polygon or lasso region. The histogram should display the distribution of fish density values within the specified regions, providing an overview of the fish composition in each marked area.
The functionality should handle loading and processing of multiple CSV files containing the marked regions, allowing users to assess the identification accuracy across different datasets or time periods.
I would like to propose a new feature that allows users to verify the identification of hake regions marked by another colleague. To facilitate this verification process, I suggest implementing a functionality that plots a histogram specifically for the fish density within non-rectangular polygons. This enhancement would enable me to assess the accuracy of the hake identification and ensure the reliability of the marked regions.