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
* Introduction - The solution shows panorama image from multi images. The panorama images is processing by real-time stitching algorithm...
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...
Image size of origin is 320*240. Processing time is 30.96 second took. The result of stitching The resul...
make well divided linear coordinate And make pair coordinate Please see code for detail explanation. import numpy as np import cv2 ...
In past, I wrote an articel about YUV 444, 422, 411 introduction and yuv <-> rgb converting example code. refer to this page -> ht...
CUDA_ARCH_BIN Table for gpu type Jetson Products GPU Compute Capability Jetson AGX Xavier 7.2 Jetson Nano 5.3 Jetson TX2 6.2 Jetson TX1 5.3 ...
This is dithering example, it make image like a stippling effect. I referenced to blew website. wiki page: https://en.wikipedia.org/wik...
Logistic Classifier The logistic classifier is similar to equation of the plane. W is weight vector, X is input vector and y is output...
put a explicit parameter name like: from sklearn.utils import class_weight class_weights = class_weight.compute_class_weight( class_weight...
(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...