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This repository contains the code for Human Face Landmark Detection in TensorFlow using the pre-trained MobileNetv2 and the Landmark Guided Face Parsing (LaPa) dataset.

Home Page: https://youtu.be/WVOMGekzbWE

Python 100.00%
face-keypoint face-landmark-detection facial-keypoints-detection

human-face-landmark-detection-in-tensorflow's Introduction

Human Face Landmark Detection in TensorFlow

This repository contains the code for Human Face Landmark Detection using Landmark Guided Face Parsing (LaPa) dataset. The pre-trained MobileNetv2 is used for the task in the TensorFlow framework.

YouTube tutorial: Human Face Landmark Detection in TensorFlow using MobileNetv2

Dataset

The LaPa dataset contains the training, validation and testing dataset. Each dataset have images, segmentation mask and the 106 human facial key points.

Download the dataset: Landmark Guided Face Parsing (LaPa)
Dataset paper: A New Dataset and Boundary-Attention Semantic Segmentation for Face Parsing

Results

The first image has Ground-Truth Landmarks and the second image has Predicted Landmarks.

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