Facial Keypoint Detection with PyTorch

Offered By
In this Guided Project, you will:
2 hours
Intermediate
No download needed
Split-screen video
English
Desktop only

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.

Skills you will develop

  • Image Processing

  • Convolutional Neural Network

  • Deep Learning

  • pytorch

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

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In a split-screen video, your instructor guides you step-by-step

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