Object storage In object storage systems, data blocks that make up a file or “object”, together with its metadata, are all kept together. Extra metadata is added to each object, which makes it possible to access data with no hierarchy. All objects are placed in a unified address space. In Read more…
Install Tao Toolkit conda create -n Tao-launcher python=3.6.9 conda env remove -n Tao-launcher conda install pip pip install nvidia-tao tao –help NGC docker registry cli show nvcr credentials: cat /home/epi/.docker/config.json docker login nvcr.io ngc -h ngc registry -h ngc registry model -h ngc registry model list ngc registry model list Read more…
Currying can create a new function by reducing an existing function’s argument list. In Python, currying is done by functools.partial: from functools import partial def foo(a,b): return a+b bar = partial(foo, a=1) # equivalent to: foo(a=1, b) bar(b=10) #11 = 1+10 bar(a=101, b=10) #111=101+10 Roughly partial does this: def partial(func, Read more…
CSP concurrent prime sieve the sieve of Eratosthenes is an ancient algorithm for finding all prime numbers up to any given limit. It does so by iteratively marking as composite (i.e., not prime) the multiples of each prime, starting with the first prime number, 2. The multiples of a given Read more…
Setup ssh keys for multiple github account Many people have more than one Github accout, tipically one for work and the other is for personal projects. Things get more complecated since there are more ssh keys now. While It’s better to use docker containers for each development environment, inside each Read more…
Metrics for Object Detection Introduction Summarize some most used metrics for object detection. Concept Confidence score is the probability that an anchor box contains an object. It is usually predicted by a classifier. Intersection over Union (IoU) is defined as the area of the intersection divided by the area of Read more…
Most ongoing software and machine learning development are going to be conainerized. One of my development environment includes Conda python package manager and Jupytor note book server. VS code will be running Jupyter notebook client connect from host side. Here is the procedure to set up this environment. There is Read more…
1. FoundationIn feature point-based visual SLAM, we generally optimize the camera pose and map point location by minimizing the reprojection error. The following is an introduction to this issue.1.1 Map parameteriseTwo method: 3-d vector $X=\left[ x,y,z \right]^{T}$ , or inverse depth parametrization. Here we use 3-d vector for simplicity.1.2 Camera Read more…
Summary Lie algebra is useful in the SLAM problem. If the results of the map and pose are to be more accurate, an optimization problem is usually involved, and this optimization problem is often related to the solid body rotation or transformation matrix. But $SO(3)$ and $SE(3)$ do not satisfy Read more…
check TeX sourceRight-click on one of the math tables below and choose Show Math As TeX Commands. This will show Mathjax source. inline mode vs display mode For inline formulas, enclose the formula in single dollarThese render differently. For example, $e=mc^2$,, $\sum_{i=0}^n i^2 = \frac{(n^2+n)(2n+1)}{6}$ and $\sum_{i=0}^N\int_{a}^{b}g(t,i)\text{d}t$ is inline mode.This Read more…