<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>lettergram</author><text>The number is of frames (or faces?) per second is meaningless without context...&lt;p&gt;- Detect at least one face in a frame (count)&lt;p&gt;- Detect all the faces in a frame (count)&lt;p&gt;- Detect the location of the first face in a frame&lt;p&gt;- Detect the location of all the faces in a frame&lt;p&gt;- Is the resolution 64x64 or 1028x1028&lt;p&gt;- Is it only finding some of the faces (what’s the accuracy)&lt;p&gt;- 1500FPS on what hardware&lt;p&gt;Anyone have the paper, otherwise, why is this here?&lt;p&gt;Extraordinary claims, require extraordinary proof, I don’t even see a README.</text><parent_chain></parent_chain></comment><story><title>Face detection library with speed of 1500FPS</title><url>https://github.com/ShiqiYu/libfacedetection</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>comboy</author><text>From 128x96 image. Another way to look at it is that on RPi you can handle 5 frames per second with 640x480, which probably means one frame every few seconds with the full RPi camera resolution. Sounds like the same results as python with opencv?</text><parent_chain></parent_chain></comment><story><title>Face detection library with speed of 1500FPS</title><url>https://github.com/ShiqiYu/libfacedetection</url></story>