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
To use OpenMP on Visual Studio IDE, we should set in tools->options like.. Below code is to calculate pi using loop logic. There ...
Image size of origin is 320*240. Processing time is 30.96 second took. The result of stitching The resul...
Example source code of extract HOG feature from images, save descriptor values to xml file, using opencv (using HOGDescriptor )This example source code is to extract HOG feature from images. And save descriptors to XML file. The source code explain how to use HOGD...
(OpenCV Study) Background subtractor MOG, MOG2, GMG example source code (BackgroundSubtractorMOG, BackgroundSubtractorMOG2, BackgroundSubtractorGMG)Background subtractor example souce code. OpenCV support about 3 types subtraction algorithm. Those are MOG, MOG2, GMG algorithms. Det...
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...
refer to this web page -> http://docs.opencv.org/trunk/doc/py_tutorials/py_video/py_lucas_kanade/py_lucas_kanade.html dense optical f...
fig 1. Left: set 4 points (Left Top, Right Top, Right Bottom, Left Bottom), right:warped image to (0,0) (300,0), (300,300), (0,300) Firstl...
This is example for background subtraction on opencv 3.2 version previously, I post 2.7 version example on here. http://study.marearts.co...
* Introduction - The solution shows panorama image from multi images. The panorama images is processing by real-time stitching algorithm...
Clean up the concept through below examples. 1. normal method : for, iterator 2. for auto loop 3. for each loop 4. for_each refer ...