From 9f614e5a6814be31daffa45d898601258aeccf58 Mon Sep 17 00:00:00 2001 From: Rhys Date: Wed, 18 Nov 2020 14:24:09 +1300 Subject: [PATCH] :pencil: Update docs for new CustomModelSetup --- docs/examples/dl4j-inference.md | 19 ++++++++++++------ .../inference/Dl4jCNNExplorer_customModel.png | Bin 30457 -> 21477 bytes .../img/inference/Dl4jCNNExplorer_default.png | Bin 30858 -> 32537 bytes 3 files changed, 13 insertions(+), 6 deletions(-) diff --git a/docs/examples/dl4j-inference.md b/docs/examples/dl4j-inference.md index dbf0199b..a2018bfb 100644 --- a/docs/examples/dl4j-inference.md +++ b/docs/examples/dl4j-inference.md @@ -125,8 +125,11 @@ which you'd like to experiment with; the process is largely the same as above, w On the `Dl4j Inference` panel, open the `Dl4jCNNExplorer` settings: -- Set `Use serialized model file` to `True` -- Select your previously saved `.model` file as the `Serialized model file` +- Set `Use custom-trained model file` to `True` +- Open the `CustomModelSetup` settings + - Select your previously saved `.model` file as the `Serialized model file` + - Set the input `channels`, `width`, and `height` with the values used to train the model. + These values will be identical to those set on the `ImageInstanceIterator`. - Open the `ModelOutputDecoder` settings: - Set `Built in class map` to `CUSTOM` - Select the `Class map file` on your machine. This can be in two forms: @@ -160,12 +163,16 @@ to classify between different dog breeds isn't going to give accurate answers wh ### Command Line +This example uses a custom-trained model which used an `ImageInstanceIterator` using +`channels`, `width`, and `height` of `3`, `56`, `56`, respectively. These values are explicitly +defined in the `CustomModelSetup`. + ```bash $ java weka.Run .Dl4jCNNExplorer \ - -decoder ".ModelOutputDecoder -builtIn CUSTOM -classMapFile /path/to/classmap.txt" \ - -model-file /path/to/saved/model/Dl4jMlpClassifier.model \ - -use-model-file - -i /path/to/input/image.png + -i path/to/image.jpg \ + -custom-model ".CustomModelSetup -channels 3 -height 56 -width 56 -model-file path/to/customModel.model" \ + -decoder ".ModelOutputDecoder -builtIn CUSTOM -classMapFile path/to/training.arff" \ + -useCustomModel ``` ## Example 4: Saliency Map Generation diff --git a/docs/img/inference/Dl4jCNNExplorer_customModel.png b/docs/img/inference/Dl4jCNNExplorer_customModel.png index 00a9b57acccc4477393d11c820d066f9b5352e60..ffb707c5811ac2c66a4e9bd03c37eaf6cf881482 100644 GIT binary patch literal 21477 zcmce;1#lZ}w`S{*DKW*&F~`hIF~`hIF*D1IF*CC*Gn35B%pfzz%qTOC^Zn=CGjr=d zGc|RquBud0t6QyCt(JQ2_3T!NoQxO(JPte*6cmE^PhkZpsCP|o*H5s}Z;yCsrI5ef 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