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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... -
Background subtractor example souce code. OpenCV support about 3 types subtraction algorithm. Those are MOG, MOG2, GMG algorithms. Det... -
Created Date : 2011.2 Language : C/C++ Tool : Microsoft Visual C++ 2010 Library & Utilized : OpenCV 2.2 Reference : Interent Refer... -
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... -
Very Nice Convoluiton Convolution (korean) https://gaussian37.github.io/dl-concept-covolution_operation/ ✌️
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Google Coral USB Edge TPU Implementation Guide 1. Installation and Troubleshooting 1.1 Hardware Requirements Google Coral USB Accelerator ...
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This is data acquisition source code of LMS511(SICK co.) Source code is made by MFC(vs 2008). The sensor is communicated by TCP/IP. ... -
Refer to load & save function. .. std ::v ector< cv :: detail ::CameraParams> params; bool loadCameraParams ( std :: string file...
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refer to code: .. import torch # create a tensor x = torch . randn ( 3 , 4 ) # set print options to display full tensor torch . set_print...
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ReplyDeleteThis one is better than "More stringent pedestrian detection by Deep learning verification" and "More stringent pedestrian detection by HOG verification". Do you use OpenCV to achieve such result?
ReplyDeleteDetecting pedestrian using Deep learning is recorded high rate false positive, but not sensitive variable pedestrian pose. and processing speed is not good.
DeleteHog is fast, but to detect typical appearance when training data pose.
So, I can not say yet, which way is better..
Thank you.
can you share this source code! Thank you
ReplyDelete