[GitHub] [incubator-mxnet] jasperDD opened a new issue #14832: How extract pictures from models

[GitBox <gi...@apache.org>]

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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