strv-ml-mask2face
Face-Mask-Detection
| strv-ml-mask2face | Face-Mask-Detection | |
|---|---|---|
| 1 | 1 | |
| 52 | 1,501 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 3 years ago | about 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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strv-ml-mask2face
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[P] Mask2Face: How We Built AI That Shows the Face Beneath the Mask
And here is the link to the project on GitHub: https://github.com/strvcom/strv-ml-mask2face
Face-Mask-Detection
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Need help !
Yea re-reading my plan I realize data collection was kinda unneeded! Look through this model https://github.com/chandrikadeb7/Face-Mask-Detection it's one of the better ones I've seen. I'm sure there's a competent dev out there who could take this and help you out. Good luck!!
What are some alternatives?
lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
borb-google-colab-examples - This repository contains some examples of using borb in google colab. These examples enable you to try out the features of borb without installing it on your system. They also ensure the system requirements and imports are all taken care of.
Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2 - This repository contains the script and process to create custom SSD Mobilenet model for object detection
TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0
deepfake-detection - DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.
pix2seq - Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)
Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
handwritten-digits-recognizer-webapp - This is my first experience with machine learning
diffae - Official implementation of Diffusion Autoencoders
image-crop-analysis - Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency