import argparse
paser = argparse.ArgumentParser()
args = paser.parse_args("")
args.cuda = False
args.show_summary = False
args.device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
print(args.cuda)
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Logistic Classifier The logistic classifier is similar to equation of the plane. W is weight vector, X is input vector and y is output... -
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...
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Image size of origin is 320*240. Processing time is 30.96 second took. The result of stitching The resul... -
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) Fi... -
* Introduction - The solution shows panorama image from multi images. The panorama images is processing by real-time stitching algorithm... -
Created Date : 2011.10 Language : C/C++ Tool : Microsoft Visual C++ 2008 Library & Utilized : OpenCV 2.3 Reference : SIFT referenc... -
OpenCV has AdaBoost algorithm function. And gpu version also is provided. For using detection, we prepare the trained xml file. Although... -
In the YUV color format, Y is bright information, U is blue color area, V is red color area. Show the below picture. The picture is u-v col... -
simply check below code and example result. . def image_grid ( imgs , rows , cols ): assert len ( imgs ) == rows * cols w , h... -
I once wrote the following article. http://study.marearts.com/2014/04/opencv-study-mat-point-access-method.html This article is a sample c...
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