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Aerial Image Segmentation with PyTorch (으)로 돌아가기

Coursera Project Network의 Aerial Image Segmentation with PyTorch 학습자 리뷰 및 피드백

강좌 소개

In this 2-hour project-based course, you will be able to : - Understand the Massachusetts Roads Segmentation Dataset and you will write a custom dataset class for Image-mask dataset. Additionally, you will apply segmentation domain augmentations to augment images as well as its masks. For image-mask augmentation you will use albumentation library. You will plot the image-Mask pair. - Load a pretrained state of the art convolutional neural network for segmentation problem(for e.g, Unet) using segmentation model pytorch library. - Create train function and evaluator function which will helpful to write training loop. Moreover, you will use training loop to train the model. - Finally, we will use best trained segementation model for inference....
필터링 기준:

Aerial Image Segmentation with PyTorch 의 1개 리뷰 중 1~1

교육 기관: 34_Harsh P

2022년 6월 24일