How to fix manual mesh warp/grid warp image manipulation in Python
I’m having trouble to implement correctely a manual mesh/grid warp feature in Python, similar to “transform warp” tool in Photoshop.
I already have a perspective warp that works correctly, however I can’t manage to understand how to achieve this sort of mesh deformation warp, haven’t had any luck.
Python – Replicate Grid Warp (like Photoshop’s warp Tool) with PIL or scikit
I want to implement a warp feature in Python, similar to tools available in image editing software. This feature allows users to select a portion of an image and drag it to reshape it freely. A grid overlays the selected area, and adjustable anchor points along the edges enable precise manipulation of the shape. Control handles at the grid intersections can be clicked and dragged to further warp the image, allowing bending or twisting to achieve a desired custom shape. The warp tool should also support customization of the grid, adjusting its size and the number of control points to facilitate achieving specific contours or effects in the image.
This is what I managed to create now:
Preprocessing requird before template matching functionlity using opencv
I used the opencv.TM_CCOEFF_NORMED function for matching the invoice template. However, the template matching functionality does not yield accurate results. the matching accuracy is quite poor, at only 50%. Could you please advise on what I should include or change in the process to increase the accuracy?