{"push_id":746436915,"size":3,"distinct_size":3,"ref":"refs/heads/master","head":"8ceef11109316889e6b3140e17cecb882edbda1f","before":"560bc1ac248a58bf47e71f2e50b0ef0967fff914","commits":[{"sha":"e3df690ff4118a91214bdc33af20ddc71d4f57a8","author":{"email":"0d364e3d9dcf9ffa02add366e96242200140565b@live.com","name":"jhollowed"},"message":"intensityDiff now calculates either a vector norm or scalar norm depending on image mode, errors gone for grayscale images","distinct":true,"url":"https://api.github.com/repos/roehrig/ImageSegmentation/commits/e3df690ff4118a91214bdc33af20ddc71d4f57a8"},{"sha":"c389226395020591fb3f24682e147158019b0ba3","author":{"email":"0d364e3d9dcf9ffa02add366e96242200140565b@live.com","name":"jhollowed"},"message":"Weight matrix is now calculated utilizing all cpu's, seems to be considerably faster for larger and larger images.\n\n- CreateMatrix() changed to create a process pool\n\n- a couple additional functions added to matricies to support multiprocessing\n\n- The function to calculate intesnity difference now includes a try except, to prevent errors on grayscale images, on which a vector norm cannot be calculated.","distinct":true,"url":"https://api.github.com/repos/roehrig/ImageSegmentation/commits/c389226395020591fb3f24682e147158019b0ba3"},{"sha":"8ceef11109316889e6b3140e17cecb882edbda1f","author":{"email":"0d364e3d9dcf9ffa02add366e96242200140565b@live.com","name":"jhollowed"},"message":"All references to the number of channels in the image now done through len(self.data[0]) rather than image.getbands()\n\nAlso some comments and unused variables cleaned up","distinct":true,"url":"https://api.github.com/repos/roehrig/ImageSegmentation/commits/8ceef11109316889e6b3140e17cecb882edbda1f"}]}