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Fix javadoc checkstyle issue. Update generated READMEs

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Christian Tzolov
2020-08-06 12:51:47 +02:00
parent c1bf53f6c2
commit 08de5c3355
6 changed files with 5 additions and 6 deletions
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applications/processor/image-recognition-processor/README.adoc
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@@ -45,7 +45,7 @@ $$image.recognition.cache-model$$:: $$cache the pre-trained tensorflow model.$$
$$image.recognition.debug-output$$:: $$<documentation missing>$$ *($$Boolean$$, default: `$$false$$`)*
$$image.recognition.debug-output-path$$:: $$<documentation missing>$$ *($$String$$, default: `$$image-recognition-result.png$$`)*
$$image.recognition.model$$:: $$pre-trained tensorflow image recognition model. Note that the model must match the selected model type!$$ *($$String$$, default: `$$https://storage.googleapis.com/mobilenet_v2/checkpoints/mobilenet_v2_1.4_224.tgz#mobilenet_v2_1.4_224_frozen.pb$$`)*
$$image.recognition.model-type$$:: $$Supports three different pre-trained tensorflow image recognition models: Inception, MobileNetV1 and MobileNetV2 1. Inception graph uses "input" as input and "output" as output. 2. MobileNetV2 pre-trained models: https://github.com/tensorflow/models/tree/master/research/slim/nets/mobilenet#pretrained-models - normalized image size is always square (e.g. H=W) - graph uses "input" as input and "MobilenetV2/Predictions/Reshape_1" as output. 3. MobileNetV1 pre-trained models: https://github.com/tensorflow/models/blob/master/research/slim/nets/mobilenet_v1.md#pre-trained-models - graph uses "input" as input and "MobilenetV1/Predictions/Reshape_1" as output.$$ *($$ModelType$$, default: `$$<none>$$`, possible values: `inception`,`mobilenetv1`,`mobilenetv2`)*
$$image.recognition.model-type$$:: $$Supports three different pre-trained tensorflow image recognition models: Inception, MobileNetV1 and MobileNetV2 1. Inception graph uses 'input' as input and 'output' as output. 2. MobileNetV2 pre-trained models: https://github.com/tensorflow/models/tree/master/research/slim/nets/mobilenet#pretrained-models - normalized image size is always square (e.g. H=W) - graph uses 'input' as input and 'MobilenetV2/Predictions/Reshape_1' as output. 3. MobileNetV1 pre-trained models: https://github.com/tensorflow/models/blob/master/research/slim/nets/mobilenet_v1.md#pre-trained-models - graph uses 'input' as input and 'MobilenetV1/Predictions/Reshape_1' as output.$$ *($$ModelType$$, default: `$$<none>$$`, possible values: `inception`,`mobilenetv1`,`mobilenetv2`)*
$$image.recognition.normalized-image-size$$:: $$Normalized image size.$$ *($$Integer$$, default: `$$224$$`)*
$$image.recognition.response-size$$:: $$number of recognized images.$$ *($$Integer$$, default: `$$5$$`)*
//end::configuration-properties[]