Here we implement facial landmark detection sample from scratch using our own image and key-point augmentations. The entire code is available on Github — under samples (dark 5). The last…

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This post details the implementation of a facial landmark detection sample using custom image and key-point augmentations, leveraging a ResNet18 model. It outlines how to handle datasets, apply corresponding transformations, and execute a training loop with PyTorch, ensuring synchronization between image and key-point augmentations. The entire sample code is accessible on Github.

Mini PyTorch from Scratch — Module 5 (part 6)