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Hi, I am trying to generate IR files for custom trained ,Mask RCNN, model on tensorflow. Model: ,Mask RCNN, Inception V2 Tensorflow version: 1.9 Openvino: 2019 R2 Command used for IR generation: python mo_tf.py --output_dir C:\\Users\\kkanna2x\\Desktop\\,mask,_,rcnn,\\car\\ir --input_model C:\\Users\\kkanna2x\\Desk...
How ,Mask,-,RCNN, works? ,Mask,-,RCNN, is a result of a series of improvements over the original ,R-CNN, paper (by R. Girshick et. al., CVPR 2014) for object detection. ,R-CNN, generated region proposals based on selective search and then processed each proposed region, one at time, using Convolutional Networks to output an object label and its bounding box.
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10/6/2019, · ,mask,_,rcnn,_coco.h5 : Our pre-trained ,Mask R-CNN, model weights file which will be loaded from disk. maskrcnn_predict.py : The ,Mask R-CNN, demo script loads the labels and model/weights. From there, an inference is made on a testing image provided via a command line argument.
Source: ,Mask RCNN, paper. ,Mask RCNN, is a deep neural network aimed to solve instance segmentation problem in machine learning or computer vision. In other words, it can separate different objects in a image or a video. You give it a image, it gives you the object bounding boxes, classes and ,masks,. Ther e are two stages of ,Mask