aaronmarkham commented on a change in pull request #10179: [MXNET-116] object detector class added URL: https://github.com/apache/incubator-mxnet/pull/10179#discussion_r175967635
########## File path: scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/ObjectDetector.scala ########## @@ -0,0 +1,150 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package ml.dmlc.mxnet.infer +// scalastyle:off +import java.awt.image.BufferedImage +// scalastyle:on +import ml.dmlc.mxnet.NDArray +import ml.dmlc.mxnet.DataDesc +import scala.collection.mutable.ListBuffer +/** + * A class for object detection tasks + * + * @param modelPathPrefix PathPrefix from where to load the symbol, parameters and synset.txt + * Example: file://model-dir/ssd_resnet50_512(ssd_resnet50_512-symbol.json) + * file://model-dir/synset.txt + * @param inputDescriptors Descriptors defining the input node names, shape, + * layout and Type parameters + */ +class ObjectDetector(modelPathPrefix: String, + inputDescriptors: IndexedSeq[DataDesc]) + extends Classifier(modelPathPrefix: String, + inputDescriptors: IndexedSeq[DataDesc]) {1 + + val classifier: Classifier = getClassifier(modelPathPrefix, inputDescriptors) + + val inputLayout = inputDescriptors(0).layout + + val inputShape = inputDescriptors(0).shape + + // Considering 'NCHW' as default layout when not provided + // Else get axis according to the layout + val batch = inputShape(if (inputLayout.indexOf('N')<0) 0 else inputLayout.indexOf('N')) + val channel = inputShape(if (inputLayout.indexOf('C')<0) 1 else inputLayout.indexOf('C')) + val height = inputShape(if (inputLayout.indexOf('H')<0) 2 else inputLayout.indexOf('H')) + val width = inputShape(if (inputLayout.indexOf('W')<0) 3 else inputLayout.indexOf('W')) + + /** + * To classify the image according to the provided model + * + * @param inputImage PathPrefix of the input image + * @param topK Get top k elements with maximum probability + * @return List of List of tuples of (class, [probability, xmin, ymin, xmax, ymax]) + */ + def imageObjectDetect(inputImage: BufferedImage, + topK: Option[Int] = None) + : IndexedSeq[IndexedSeq[(String, Array[Float])]] = { + + val scaledImage = ImageClassifier.reshapeImage(inputImage, width, height) + val pixelsNDArray = ImageClassifier.bufferedImageToPixels(scaledImage, inputShape) + val output = objectDetectWithNDArray(IndexedSeq(pixelsNDArray), topK) + handler.execute(pixelsNDArray.dispose()) + output + } + + /** + * Takes input as NDArrays, useful when you want to perform multiple operations on + * the input Array or when you want to pass a batch of input. Review comment: comma after Array ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
