Input: A $2$D image

Output: A $2$D image with certain highlighted areas.

Problem: We have a $2$D image and need to determine the minimum locations where we must introduce a third dimension to visualize the object accurately. Suppose, input$1.$jpg represents the initial input, and output$1.$jpg is the resulting image. input$2.$jpg is another input, and output$2.$jpg is the corresponding output. The orange lines indicate the regions where we need to incorporate the third directional view to properly visualize the object from any angle. Without views from these positions, the object remains incomplete. Use OpenCv to read the image $,$convert into Black and White, find monotonically increasing or decreasing sequence, which will be the points where we could introduce the third dimension. Connect those points. Give me python code for this. Show the working of code in your computer by giving a $2-$D image and getting the points whre we should add the $3$rd dimension.