From the course: Introduction to Deep Learning with OpenCV
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Working with blobs - OpenCV Tutorial
From the course: Introduction to Deep Learning with OpenCV
Working with blobs
- [Instructor] Now a blob is one or more images with the same width, height, and number of channels that have all been preprocessed in the same way. Let's take a look at the workflow for an inference engine and where blobFromImage fits in. What we will do is pass one image to blobFromImage. Now if you have more than one image, you'll use the blobFromImages function. The output of this is a four dimensional tensor where N is the number of images, C is the number of channels, H is the height of the tensor, and W is the width of the tensor. This is stored in a blob object. This is then passed to a trained model that allows us to get the image or video inference. For images and videos, this could be object detection, image classification, semantic segmentation, and a whole load more. It depends on what trained model you have used and your use case. Let's take a look at the parameters for blobFromImage. BlobFromImage creates a four dimensional blob from an image and you can optionally…
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