Deep Convolutional Neural Networks for Object Recognition<br />https://www.youtube.com/watch?v=kZNipoT-LCk<br /><br /><br /><br />* THIS VIDEO CONTAINS NO AUDIO<br /><br /><br /><br />Here I used deep convolutional neural networks for object recognition.<br /><br /><br /><br /><br />For the links to all the code, see:<br /><br />https://github.com/Harry-Muzart/harry...<br /><br /><br /><br /><br /><br /><br />For each frame, the data output looks like this:<br /><br /><br />[{"label": "person", "confidence": 0.92, "topleft": {"x": 82, "y": 30}, "bottomright": {"x": 733, "y": 525}}, {"label": "tie", "confidence": 0.91, "topleft": {"x": 331, "y": 411}, "bottomright": {"x": 421, "y": 525}}] [{"label": "person", "confidence": 0.92, "topleft": {"x": 82, "y": 30}, "bottomright": {"x": 733, "y": 525}}, {"label": "tie", "confidence": 0.91, "topleft": {"x": 331, "y": 411}, "bottomright": {"x": 421, "y": 525}}] [{"label": "person", "confidence": 0.92, "topleft": {"x": 82, "y": 30}, "bottomright": {"x": 733, "y": 525}}, {"label": "tie", "confidence": 0.91, "topleft": {"x": 331, "y": 411}, "bottomright": {"x": 421, "y": 525}}] [{"label": "person", "confidence": 0.92, "topleft": {"x": 82, "y": 30}, "bottomright": {"x": 733, "y": 525}}, {"label": "tie", "confidence": 0.91, "topleft": {"x": 331, "y": 411}, "bottomright": {"x": 421, "y": 525}}] [{"label": "person", "confidence": 0.92, "topleft": {"x": 82, "y": 30}, "bottomright": {"x": 733, "y": 525}}, {"label": "tie", "confidence": 0.91, "topleft": {"x": 331, "y": 411}, "bottomright": {"x": 421, "y": 525}}] [{"label": "person", "confidence": 0.92, "topleft": {"x": 82, "y": 30}, "bottomright": {"x": 733, "y": 525}}, {"label": "tie", "confidence": 0.91, "topleft": {"x": 331, "y": 411}, "bottomright": {"x": 421, "y": 525}}] [{"label": "person", "confidence": 0.92, "topleft": {"x": 82, "y": 30}, "bottomright": {"x": 733, "y": 525}}, {"label": "tie", "confidence": 0.91, "topleft": {"x": 331, "y": 411}, "bottomright": {"x": 421, "y": 525}}] [{"label": "person", "confidence": 0.92, "topleft": {"x": 82, "y": 30}, "bottomright": {"x": 733, "y": 525}}, {"label": "tie", "confidence": 0.91, "topleft": {"x": 331, "y": 411}, "bottomright": {"x": 421, "y": 525}}] [{"label": "person", "confidence": 0.92, "topleft": {"x": 82, "y": 30}, "bottomright": {"x": 733, "y": 525}}, {"label": "tie", "confidence": 0.91, "topleft": {"x": 331, "y": 411}, "bottomright": {"x": 421, "y": 525}}]<br /><br /><br /><br /><br /><br />Here are the source videos:<br /><br />MRI Research Decoding the Human Brain <br />https://www.youtube.com/watch?v=Qh5_u...<br />by Purdue Engineering (Oct 2017)<br />(Creative Commons BY)<br /><br />“Living as a Scientist” Vlog #1 (Full Extended Version)<br />https://www.youtube.com/watch?v=pLEtm...<br />by Scientifically! (Nov 2017)<br /><br />https://www.youtube.com/watch?v=bRfKH...<br />Some London Science/Tech Places (Wellcome Trust, UCL/ULCH, Zoology Museum, King’s Cross)<br />By Scientifically! (Nov 2017)<br />Category<br />Science & Technology
