An Algorithm for Computing the Approximate IoU Between Oriented 2D boxes
This post shows an *approximation method to compute the IoU between oriented 2D boxes*.
Category Python Programming
This category is not intended to be a comprehensive tutorial to Python, but a collection of tips, helpful code snippets and some Python projects that I think might be worth sharing.
Signed distance function to oriented 2D boxes
This post goes through the derivation of *signed distance function
(SDF)* with respect to oriented boxes in 2D.
I also showed *Python implementations* with some examples.
Fit the distribution of the sum of independent Gamma random variable
I implemented in Python an algorithm that fits the distribution of the sum of independent Gamma random variables.
Python implementation of “An algorithm for the binomial distribution with dependent trials”
This post talks about the binomial distribution with dependent trials, and Python implementation of the algorithm.
Create YOLOv3 using PyTorch from scratch (Part-6)
This post writes the training code of YOLOv3 and carries out some test training sessions on COCO 2014 dataset.
Create YOLOv3 using PyTorch from scratch (Part-5)
In this post we create a Dataset and a DataLoader class to load the COCO 2014 detection data.
Create YOLOv3 using PyTorch from scratch (Part-4)
In this post we create 3 essential tools in the object detection task: IoU (Intersection-over-Union), NMS (Non-Maximum suppression) and mAP (mean Average Precision).
Create YOLOv3 using PyTorch from scratch (Part-3)
In this post we load pre-trained weights for the YOLOv3 model and run some test inferences.
Create YOLOv3 using PyTorch from scratch (Part-2)
This post talks about reading and parsing the YOLOv3 config file and building a Darknet-53 model using PyTorch.
Create YOLOv3 using PyTorch from scratch (Part-1)
This is the start of a series on understanding and implementing the YOLOv3 model using PyTorch.