fix memory

Author: Mmasoud1

js/brainchop/mainMeshNetFunctions.js

@@ -4762,18 +4762,18 @@ function convByOutputChannelAndInputSlicing(input, filter, biases, stride, pad,
                       let timer = window.setInterval(async function() {
 
                          try {
-                                  // if (res.layers[i].activation.getClassName() !== 'linear') {
+                                  if (res.layers[i].activation.getClassName() !== 'linear') {
                                       curTensor[i] = res.layers[i].apply( curTensor[i-1]);
-                                  // } else {
-
-                                  //     curTensor[i] = convByOutputChannelAndInputSlicing(curTensor[i-1],
-                                  //                                                       res.layers[i].getWeights()[0],
-                                  //                                                       res.layers[i].getWeights()[1],
-                                  //                                                       res.layers[i].strides,
-                                  //                                                       res.layers[i].padding,
-                                  //                                                       res.layers[i].dilationRate,
-                                  //                                                       3); // important for memory use
-                                  // }
+                                  } else {
+
+                                      curTensor[i] = convByOutputChannelAndInputSlicing(curTensor[i-1],
+                                                                                        res.layers[i].getWeights()[0],
+                                                                                        res.layers[i].getWeights()[1],
+                                                                                        res.layers[i].strides,
+                                                                                        res.layers[i].padding,
+                                                                                        res.layers[i].dilationRate,
+                                                                                        3); // important for memory use
+                                  }
 
 
                                   // // Log memory usage

js/brainchop/mainParameters.js

@@ -136,7 +136,7 @@
                                        enableCrop: true, // For speed-up inference, crop brain from background before feeding to inference model to lower memory use.
                                        cropPadding: 2, // Padding size add to cropped brain 
                                        filterOutWithPreMask: false, // Can be used to multiply final output with premodel output mask to crean noisy areas                                      
-                                       enableSeqConv: false, // For low memory system and low configuration, enable sequential convolution instead of last layer
+                                       enableSeqConv: true, // For low memory system and low configuration, enable sequential convolution instead of last layer
                                        textureSize:  13585, // Requested Texture size for the model, if unknown can be 0.  
                                        warning: "This model may need dedicated graphics card.  For more info please check with Browser Resources <i class='fa fa-cogs'></i>.",           
                                        inferenceDelay: 100, // Delay in ms time while looping layers applying.