|2 months ago||almost 2 years ago|
|MIT License||MIT License|
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Query regarding Multiple face recognization system
2 projects | reddit.com/r/MLQuestions | 25 Nov 2021
It's generally better to split the task into a multiple tasks. First I'd want to detect and extract faces. There are a number of pretrained models that you could use for that, e.g. https://github.com/timesler/facenet-pytorch, https://github.com/opencv/opencv/tree/master/data/haarcascades. Once you've extracted faces, you can train a facial recognition using something like a siamese network as you normally would.
How to setup gesture recognition on the Nano?
3 projects | reddit.com/r/JetsonNano | 21 Apr 2021
I'm pretty new to the Nano and AI in general, but I'm currently working on a school project that requires me to use the Nano. I was wondering how if there are any good tutorials on how to setup the Nano and it's IMX219 camera so that it can recognize gestures. One of the datasets is this: https://github.com/ahmetgunduz/Real-time-GesRec. Thank you in advanced!
What are some alternatives?
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
anime-face-detector - Anime Face Detector using mmdet and mmpose
awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments
CompreFace - Leading free and open-source face recognition system
pytorch2keras - PyTorch to Keras model convertor
OpenCV - Open Source Computer Vision Library
trt_pose_hand - Real-time hand pose estimation and gesture classification using TensorRT
DeepFake-Detection - Towards deepfake detection that actually works
facenet - Face recognition using Tensorflow
trt_pose - Real-time pose estimation accelerated with NVIDIA TensorRT
OpenSeeFace - Robust realtime face and facial landmark tracking on CPU with Unity integration
iSeeBetter - iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press