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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. ... -
Background subtractor example souce code. OpenCV support about 3 types subtraction algorithm. Those are MOG, MOG2, GMG algorithms. Det... -
Image size of origin is 320*240. Processing time is 30.96 second took. The result of stitching The resul... -
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...
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Python · Type hints def sensor_id(sensor: Sensor | int | None) -> int has three bars in one signature and looks like bit arit...
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ð FREE License Plate Recognition API - No Credit Card Required! Want to try ANPR (Automatic Number Plate Recognition) / ALPR (Automatic L...
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Contents What is a D-U-N-S Number? Prerequisites — Documents to Prepare Go to the D&B Application ...
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Embeded camera R&D for Real-Time fire detection surveillance in tunnel environment - 2008.07.01~2009.06.30 - High Computing Power E...
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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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C · Python · Linking Two acronyms one letter apart, describing promises made at two different moments. An API is what you agree t...
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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