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In this 2-hour project-based course, you will be able to :
- Understand the Segmentation Dataset and you will write a custom dataset class for Image-mask dataset. Additionally, you will apply segmentation augmentation 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.
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von Ye Y
•21. Feb. 2022
von Shane M
•21. Nov. 2021
von Halil U
•3. Apr. 2022
von Abdelkader M
•28. Juli 2022
von vaghani r d
•2. Apr. 2022
von Karthik K
•14. Sep. 2022
von Mohammed A
•17. Juli 2022
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