Note also: 10 13.333*72 720 959.976
(ppi means pixels per inch). -- Raul On Sun, Jan 22, 2017 at 2:00 PM, Brian Schott <[email protected]> wrote: > To train a backprop neural net to recognize a playing card viewed from an > iPad, I want to get the pixel counts of the training set card image and the > actual card image to correspond as much as practical by controlling how far > the real playing cards are from the iPad when real recognition is > attempted. I am attempting to train the network on artificially generated > images because such generation is much easier, I think. > > I don't quite understand how to translate the camera lens' quality to pixel > count of the training set. My iPad produces .jpg pictures of "Dimension"720 > x 960 (which for the example photo I used for this messages is 227 KB and > is not a playing card). When I open that picture in Photoshop Elements it > says that at 100% (RGB/8) the image is of size 10x13.333 inches and 72 ppi. > A playing card is 2.5x3.5 inches. > > So can I get some guidance on whether that is enough information and if > so, how to use the information? > > Thanks, > > -- > (B=) > ---------------------------------------------------------------------- > For information about J forums see http://www.jsoftware.com/forums.htm ---------------------------------------------------------------------- For information about J forums see http://www.jsoftware.com/forums.htm
