Mask R-CNN is an object detection model developed by Facebook AI researchers in 2017. The model can return both the bounding box and mask for each detected object. This tutorial demonstrates how to use the Mask_RCNN project, which implements Mask R-CNN with TensorFlow 1.14 and Keras, to make predictions and train the model
Table of contents
IntroductionPrerequisitesObject Detection in TensorFlow 1Prepare the Model Configuration Parameters**Build the Mask R-CNN Model ArchitectureLoad the Model WeightsRead An Input ImageDetect ObjectsVisualize the ResultsComplete Code for PredictionDownload the Training DatasetPrepare the Training DatasetPrepare Model ConfigurationTrain Mask R-CNN in TensorFlow 1.0ConclusionSort: