polyfit
There are 17 repositories under polyfit topic.
henryfo/polyfit
Contains a simple "C" function -- polyfit() -- that fits a line or higher-order polynomial to a set of points, using Method of Least Squares regression. Design goals include simplicity and ease of porting.
huuanhhuynguyen/advanced_lane_finding
Lane finding algorithm using image binarization and bird-eye perspective warping
maudzung/Self-Driving-Car-02-Advance-Finding-Lanelines
Advanced Lane Finding Project
NurNils/opencv-lane-detection
Detect roadway lanes using Python OpenCV - Find Line Detection (Image Processing)
bolderflight/polytools
Polynomial tools, polyfit and polyval.
jeongwhanchoi/CarND-Advanced-Lane-Lines
Advanced Lane Line using Advanced Techniques
archeno/polyfit
多项式 一次/2次拟合 并绘制拟合曲线
fabioo29/covid-cases-prediction
Tkinter app to predict daily covid-19 cases of a district county given a range of dates.
julianacastilloaraujo/Polinomios
Equipo E, presentación de "Polinomios" 👩💻 | Uso del software #MATLAB para el desarrollo de las ecuaciones enfocadas en las funciones: polyval, roots, conv, deconv, polyder, polyint, polyfit
maryamsoftdev/Train_Test_data_in_ML
learning python day 4
stevanStevic/Advanced-Lane-Lines-Finding
Advanced lane line fining including camera calibration
boxreb14/CarND-Advanced-Lane-Lines
Created a pipeline to identify lane lines using various techniques like perspective transform, color gradients, detecting fit for the lanes, detecting curvature and finally warping all to the original image.
mannyjrod/Curve-Fitting-1st-2nd-Polynomial-Spline-interpolations
Curve fitting - 1st, 2nd order polynomial ; Linear and spline interpolations -- Sample problems
Munster2020/HDIP_CSDA_COMP07084_TASKS
Higher Diploma in Science in Computing (Data Analytics) - Programme Module: Fundamentals of Data Analysis (COMP07084)
ShinYuFish/MMElab
Simple FFT and pressure gauge calibration function with sample written in MATLAB
Kartmaan/prime-number-analysis
Analysis notebook on prime numbers
TebogoYungMercykay/Mathematical_Modelling_In_Python
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.