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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....
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1 - 2 von 2 Bewertungen für Aerial Image Segmentation with PyTorch

von 34_Harsh P

24. Juni 2022

I like it much

von Agrover112

26. Dez. 2022

4 because there were quite a few mistakes which should be corrected!