Building a custom faster rcnn for object detection
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Updated
Jun 12, 2024 - Jupyter Notebook
Building a custom faster rcnn for object detection
Use your camera to control the mouse from a distance
Comparing the performance of MLP (multilayer perceptron) and CNN (convolutional neural network) on USPS dataset and visualizing it via TensorBoard.
Minerva project includes the minerva package that aids in the fitting and testing of neural network models. Includes pre and post-processing of land cover data. Designed for use with torchgeo datasets.
Real-Time Person Detection with Landmark Detection and Depth Estimation
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
View model summaries in PyTorch!
DINOv1 implementation in Pytorch
Implementing Transfer Learning using Resnet18. Training and testing Resnet18 on Even numbered Classes in CIFAR10 Dataset.
Gender detection using gender classification model
A collection of deep learning models for rice classification using PyTorch, torchvision, and scikit-learn, with performance metrics evaluated using Slurm jobs.
CoreML custom layer (GPU-accelerated) and converter for torchvision.ops.deform_conv2d
Library for watermarking and poisoning of images, created in an effort to stop digital art theft from fraudsters and AI scrapers
Aplicação simples de classificação de imagens usando uma rede neural pré-treinada, utiliza o PyTorch para carregar um modelo de rede neural pré-treinado (ResNet50), baixar um arquivo com os rótulos das classes do ImageNet. O objetivo é identificar qualquer raça de cachorro através de uma imagem.
Jetson Nano with Ubuntu 20.04 image
A custom model that uses ResNet 50 for feature extraction to detect bone fractures from a patient's X-ray.
Torch extension for calculating the Intersection over Union (IoU) for quadrilaterals, supports CPU and CUDA tensors. Handles both 1-to-1 and M-to-N matches, returning an IoU matrix with M rows and N columns.
Pytorch_to_Tensorflow
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