jasperDD opened a new issue #14832: How extract pictures from models URL: https://github.com/apache/incubator-mxnet/issues/14832 i use this code to biuld model for captcha recognition dataiter <- mx.io.ImageRecordIter( path.imgrec = “C:/Users/Admin/Desktop/captcha_example/captcha_train.rec”, path.imglist = “C:/Users/Admin/Desktop/captcha_example/captcha_train.lst”, mean.img = “mean.bin”, batch.size = 100, data.shape = c(28, 28, 3), rand.crop = TRUE, rand.mirror = TRUE ) data <- mx.symbol.Variable(‘data’) label <- mx.symbol.Variable(‘label’) conv1 <- mx.symbol.Convolution(data = data, kernel = c(5, 5), num_filter = 32) pool1 <- mx.symbol.Pooling(data = conv1, pool_type = “max”, kernel = c(2, 2), stride = c(1, 1)) relu1 <- mx.symbol.Activation(data = pool1, act_type = “relu”) conv2 <- mx.symbol.Convolution(data = relu1, kernel = c(5, 5), num_filter = 32) pool2 <- mx.symbol.Pooling(data = conv2, pool_type = “avg”, kernel = c(2, 2), stride = c(1, 1)) relu2 <- mx.symbol.Activation(data = pool2, act_type = “relu”) flatten <- mx.symbol.Flatten(data = relu2) fc1 <- mx.symbol.FullyConnected(data = flatten, num_hidden = 120) fc21 <- mx.symbol.FullyConnected(data = fc1, num_hidden = 10) fc22 <- mx.symbol.FullyConnected(data = fc1, num_hidden = 10) fc23 <- mx.symbol.FullyConnected(data = fc1, num_hidden = 10) fc24 <- mx.symbol.FullyConnected(data = fc1, num_hidden = 10) fc2 <- mx.symbol.concat(c(fc21, fc22, fc23, fc24), dim = 0, num.args = 4) label <- mx.symbol.transpose(data = label) label <- mx.symbol.Reshape(data = label, target_shape = c(0)) captcha_net <- mx.symbol.SoftmaxOutput(data = fc2, label = label, name = “softmax”) mx.metric.acc2 <- mx.metric.custom(“accuracy”, function(label, pred) { ypred <- max.col(t(data.matrix(pred))) - 1 ypred <- matrix(ypred, nrow = nrow(label), ncol = ncol(label), byrow = TRUE) return(sum(colSums(data.matrix(label) == ypred) == 4)) / ncol(label) }) data.shape <- c(80, 30, 3) batch_size <- 40 train <- mx.io.ImageRecordIter( path.imgrec = “C:/Users/Admin/Desktop/captcha_example/captcha_train.rec”, path.imglist = “C:/Users/Admin/Desktop/captcha_example/captcha_train.lst”, batch.size = batch_size, label.width = 4, data.shape = data.shape, mean.img = “mean.bin” ) #see rec files train$reset() train$iter.next() train$value()$label #View(train$value()$data) val <- mx.io.ImageRecordIter( path.imgrec = “C:/Users/Admin/Desktop/captcha_example/captcha_test.rec”, path.imglist = “C:/Users/Admin/Desktop/captcha_example/captcha_test.lst”, batch.size = batch_size, label.width = 4 data.shape = data.shape, mean.img = “mean.bin” ) mx.set.seed(42) model<- mx.model.FeedForward.create( X = train, eval.data = val, ctx = mx.cpu(), symbol = captcha_net, eval.metric = mx.metric.acc2, num.round = 10, learning.rate = 0.0001, momentum = 0.9, wd = 0.00001, batch.end.callback = mx.callback.log.train.metric(50), initializer = mx.init.Xavier(factor_type = “in”, magnitude = 2.34), optimizer = “sgd”, clip_gradient = 10 ) how from created model to get predicted digits of captcha? now i see just such symbol data https://imgur.com/a/mF11h4v how to get predicted captcha digits
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