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- Level Intermediate
- Duration 2 hours
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In this 2-hour project-based course, you will be able to : - Understand the Facial Keypoint Dataset and you will write a custom dataset class for Image-Keypoint dataset. Additionally, you will apply keypoint augmentation to augment images as well as its keypoints. For keypoint augmentation you will use albumentation library. You will plot the image keypoint pair. - Load a pretrained state of the art convolutional neural network using timm library. - Create train function and evaluator function which will helpful to write training loop. Moreover, you will use training loop to train the model. - Lastly, you will use trained model to find keypoints given any image.Auto Summary
Discover "Facial Keypoint Detection with PyTorch" on Coursera, a 2-hour intermediate course focused on mastering facial keypoint datasets and creating custom dataset classes. Ideal for personal development, this free, project-based course is perfect for learners looking to enhance their PyTorch skills under expert guidance.