30 open-source projects similar to davexpro/pytorch-pose-estimation, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Pytorch Pose Estimation alternative.
This project is a PyTorch implementation of 3D residual networks designed for video action recognition. It provides a spatiotemporal architecture that analyzes both spatial frames and temporal motion to classify human activities within video clips. The system includes a distributed model training framework to accelerate learning across multiple compute nodes. It supports the deployment and fine-tuning of pre-trained model weights, allowing the adaptation of existing networks to specific new datasets. The codebase covers the full pipeline for spatiotemporal learning, including video dataset p
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
PyTorch module to use OpenFace's nn4.small2.v1.t7 model
This is a PyTorch-based computer vision library for detecting 2D and 3D facial landmark coordinates. It functions as a facial landmark detector and reconstruction tool, utilizing deep learning to identify precise geometric points on human faces from image datasets. The library allows for the selection of specific detection backends to balance accuracy and processing speed. It supports the integration of precomputed bounding box files, which enables the system to bypass the initial detection phase and proceed directly to landmark extraction. The toolkit includes capabilities for batch image p
This repository is the PyTorch implementation for the network presented in:
Pytorch version of SfmLearner from Tinghui Zhou et al.
This project is an unsupervised image restoration tool that uses a convolutional neural network as a structural prior to reconstruct images from noisy or incomplete data. It functions as a neural network image prior, utilizing the inherent biases of the network architecture to restore pixels without the need for a pre-trained dataset or external learning. The system performs zero-shot image restoration by treating the network architecture itself as a regularization term. It uses a randomly initialized encoder-decoder structure and iterative gradient descent to minimize pixel-wise loss, recove
PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives"
Pixel-wise segmentation on the VOC2012dataset dataset using pytorchpytorch.
PyTorch implementation of Deformable Convolution
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
This is a PyTorch object detection framework that implements the Single Shot MultiBox Detector for identifying and localizing multiple objects within images and video. The project provides a neural network architecture designed for single-shot object detection, which predicts bounding boxes and class labels in one pass. The implementation includes a real-time object detector capable of processing live video streams to track and label objects across sequential frames. It also features a complete computer vision training pipeline for preparing image datasets and training model weights. The fra
Pytorch implementation of FlowNet by Dosovitskiy et al.
A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"
Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)
A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)
Perfect implement. Model shared. x0.5 (Top1:60.646) and 1.0x (Top1:69.402).
PyTorch implementation of Fader Networks (NIPS 2017).
This repo is implementation for PointNet(https://arxiv.org/abs/1612.00593) in pytorch. The model is in pointnet/model.py.