Detect and recognize the faces from camera / 调用摄像头进行人脸识别,支持多张人脸同时识别
-
Updated
Dec 10, 2024 - Python
Detect and recognize the faces from camera / 调用摄像头进行人脸识别,支持多张人脸同时识别
UNet architecture and Keras code with ResBlock for segmentation
Malaria Detection using Deep Learning
ResNet-34 implementation of the paper "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles" in Keras
Research model for classification and feature extraction of dermatoscopic images
Deep learning experiments to design a model to predict Parkinson's diseases with the images of Spiral/Wave test
AnimalsClassificationModel is a Python app that classifies animals from images using a ResNet34 model. It features a Streamlit interface and utilizes Plotly for visualization.
My PyTorch implementation of CNNs. All networks in this repository are using CIFAR-100 dataset for training.
Deep learning based solution to automatically analyze medical images for malaria testing
Various Classical Deep-learning Algorithm coded by Tensorflow and Pytorch framework
End-to-end Sleep Staging with Raw Single Channel EEG
[Open Source]. ARGAN - The improved version of AnimeGAN. Landscape photos/videos to anime
Code showing how to port ResNet Pytorch weights to Tensorflow 2.0
ResNet-34 Model trained from scratch to classify 450 different species of birds with 98.6% accuracy.
PyTorch implementation of ResNet34 from scratch for classifying birds
Identification of road surfaces and 12 different classes like speed bumps, paved, unpaved, markings, water puddles, potholes, etc.
First person action recognition: different approaches exploiting self supervised task and flow modulation
Multi-label classification of defective solar cells with PyTorch using a pre-trained residual neural network
Add a description, image, and links to the resnet-34 topic page so that developers can more easily learn about it.
To associate your repository with the resnet-34 topic, visit your repo's landing page and select "manage topics."