What is torchvision library

This recipe explains what is torchvision library

Recipe Objective

What is torchvision library?

The torchvision package which consist various famous datasets, model architectures, and common image transformation for computer vision. Through this we can have various packages which are:
-- torchvision.datasets - From this we can load different datasets available in this package.
-- torchvision.io - This is for video, image, and Fine-grained video API.
-- torchvision.models - This for loading models like classification, semantic segmentation, video classification and Object Detection, Instance Segmentation and Person Keypoint Detection.
-- torchvision.ops - This is for implementing operators that are specific for computer vision.
-- torchvision.transforms - This is for transforming the common image, they can be chained together using Compose.
-- torchvision.utils - This will make grid of images.

Step 1 - Import the library

import torchvision

Step 2 - Gets the name of package

print("Through this we will get the name of the package which is used to load image")
get = torchvision.get_image_backend() get

Step 3 - Specify the package

print("Through this we will Specifies the package which is used to load image:","torchvision.set_image_backend(backend)")

Through this we will Specifies the package which is used to load image: torchvision.set_image_backend(backend)

Step 4 - For decoding videos

print("This is used for decoding the videos:","torchvision.set_video_backend(backend)")

This is used for decoding the videos: torchvision.set_video_backend(backend)

{"mode":"full","isActive":false}

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