
Irregular shape detection and measurement in python opencv
Here's what an (incomplete) idealised output would look like, each crystal is identified, annotated and measured (pretty sure I can tackle the measurement when I get that far). Abridged the …
python - The best fit triangle in cv2 - Stack Overflow
Nov 10, 2020 · TLDR: I am looking to fit a triangle to a boomerang-shaped object in order to detect its "head", potentially using python's opencv. I have a collection of boomerang-shape …
algorithm - Fit a shape to points - Stack Overflow
Mar 19, 2019 · My current method is to define a custom fit function for each shape and pass it to a third-party optimisation function: fitness = get_fitness(shape_parameters, points) …
Detecting Geometrical Shapes in an image using OpenCV
May 22, 2020 · The contours are a useful tool for shape analysis and object detection and recognition. And got to learn how we can use it to find geometrical shapes in an image. Let’s …
OpenCV shape detection - PyImageSearch
Feb 8, 2016 · This tutorial demonstrates how to detect simple geometric shapes (such as squares, circles, rectangles, & pentagons) in images using Python and OpenCV.
Draw a unstructured triangular grid as lines or markers in Python …
Jun 8, 2020 · Unstructured Triangular Grid can be drawn from an irregularly shaped polygon using the Ruppert's algorithm. Here the task is to draw a unstructured triangular grid as lines …
Best-fit Surfaces for 3-Dimensional Data - Inversion Labs
Mar 21, 2016 · The following code generates best-fit planes for 3-dimensional data using linear regression techniques (1st-order and 2nd-order polynomials). Although I recently developed …
[Python] Fitting plane/surface to a set of data points · GitHub
Feb 24, 2025 · Python version of the MATLAB code in this Stack Overflow post: https://stackoverflow.com/a/18648210/97160. The example shows how to determine the best …
seanys/2D-Irregular-Packing-Algorithm - GitHub
This repository contains algorithms for 2D irregular packing and a simple tutorial to the algorithms. If you discover any issues with the code, you are welcome to fork the repository and initiate a …
numpy.polyfit — NumPy v2.2 Manual
Fit a polynomial p(x) = p[0] * x**deg +... + p[deg] of degree deg to points (x, y). Returns a vector of coefficients p that minimises the squared error in the order deg , deg-1 , … 0 .