Merge pull request #372 from leondavi/fixIssueCnn

[fixIssueCnn] fix cnn explanation - fix kernel size defintion and upd…

src_py/nerlPlanner/WinWorkerDialogDefnitions.py

@@ -59,4 +59,4 @@
 KEY_LAYER_METHOD_SELECTION_TEXT = '-LAYER-METHOD-SELECTION-TEXT-'
 KEY_LAYER_METHOD_SELECTION_BUTTON = '-LAYER-METHOD-SELECTION-BUTTON-'
 
-LAYER_SIZES_HELP_POPUP_STR =  'CNN Layer definition: <W>x<H>k<K>s<S>p<P><T>\n\nShould be defined only with CNN layer type code\nW - Width\nH - Height\nK - Kernel size <K>x<K>\nS - Stride\nP - Padding\nT - Convolution Type (v-valid, s-same)\n\nExample:\n128x128k3s2p1v represents a CNN layer\ninput size is 128x128\nkernel size 3x3 and stride of 2 with padding 1\nconvolution type is valid.\n\nPooling:\nPooling of single or multiple dimension:\n<N>x<N>p<P>x<P>s<S>\nor\n<N>p<P>s<S>\nExamples:\n8x8p2x2s1x1 means size of layer is 8x8\nand pooling is by two rows and tow columns\nand stride of 1 in each direction\n10p2s1 means pool size of 2 and stride of 1\n\nScaling\n<N>x<N>\nor\n<N>'
+LAYER_SIZES_HELP_POPUP_STR =  'CNN Layer definition: <W>x<H>x<D>k<K>s<S>p<P><T>\n\nShould be defined only with CNN layer type code\nW - Width\nH - Height\nD - Depth\nF - Filters\nK - Kernel size <W>x<H>x<D>x<F>\nS - Stride\nP - Padding\nT - Convolution Type (v-valid, s-same)\n\nExample:\n128x128k3x3x1x16s2p1 represents a CNN layer\ninput size is 128x128\nkernel size 3x3x1x16 and stride of 2 with padding 1\nconvolution type is valid.\n\nPooling:\nPooling of single or multiple dimension:\n<N>x<N>p<P>x<P>s<S>\nor\n<N>p<P>s<S>\nExamples:\n8x8p2x2s1x1 means size of layer is 8x8\nand pooling is by two rows and tow columns\nand stride of 1 in each direction\n10p2s1 means pool size of 2 and stride of 1\n\nScaling\n<N>x<N>\nor\n<N>'