Deep learning lecture
(tensor flow based..)
1. logistic classification
2. stochastic optimization
3. general data practices to train models( data & parameter tuning)
part 2. (we're going to go deeper)
1. Deep networks
2. Regularization (to train even bigger models)
part 3. ( will be a deep dive into image and convolutional models)
1. convolutional networks
part 4. (all about text and sequence in general)
2. recurrent models
make well divided linear coordinate And make pair coordinate Please see code for detail explanation. import numpy as np import cv2 ...
This post is about how to copy Mat data to vector and copy vector data to Mat. Reference this example source code. printf("///////...
Image size of origin is 320*240. Processing time is 30.96 second took. The result of stitching The resul...
As you can see in the following video, I created a class that stitching n cameras in real time. https://www.youtube.com/user/feelmare/sear...
opencv lecture 4-1 example code < gist start > < gist end >
This is dithering example, it make image like a stippling effect. I referenced to blew website. wiki page: https://en.wikipedia.org/wik...
* Introduction - The solution shows panorama image from multi images. The panorama images is processing by real-time stitching algorithm...
8 point algorithm (Matlab source code) / The method to get the Fundamental Matrix and the Essential matrixCreated Date : 2011.8 Language : Matlab Tool : Matlab 2010 Library & Utilized : - Reference : Multiple View Geometry (Hartly and Z...
In past, I wrote an articel about YUV 444, 422, 411 introduction and yuv <-> rgb converting example code. refer to this page -> ht...
1. Map : Tasks read from and write to specific data elements. 2. Gather : each calculation gathers input data elements together from di...