April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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Load the tensorflow pretrained model with opencv-python and run inference to detect objects in your images. Train your own Faster R-CNN model on Pascal-VOC images using a GPU (download the annotated image dataset from here: http://host.robots.ox.ac.uk/pascal/VOC/voc2012/VOCtrainval_11-May-2012.tar).
To train with Keras, refer to https://github.com/kbardool/keras-frcnn. Implement object detection using the vanilla R-CNN and Fast R-CNN models, and compare the speed and precision with Faster-RCNN on a test image.
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