May 2020
Beginner to intermediate
430 pages
10h 39m
English
Content preview from Mastering Computer Vision with TensorFlow 2.x
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Object detection using Contours and the HOG detector
Contours are closed regions within an image that has a similar shape. In this section, we will use Contours to classify and detect simple objects within an image. The image we will use consists of apples and oranges and we will use the Contour and the Canny edge detection method to detect the object and write the image class name on the bounding box. The code for this section can be found at https://github.com/PacktPublishing/Mastering-Computer-Vision-with-TensorFlow-2.0/blob/master/Chapter01/Chapter1_contours_opencv_object_detection_HOG.ipynb.
The methodology is described in the following subsections.
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