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3d-vehicle-tracking

Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)

aicv115m_challenge_solution

Solution aicv115m của nhóm FruitAI

cvpr2021-papers-with-code

CVPR 2021 论文和开源项目合集

data-efficient-video-transformer

menovideo: pytorch library for video action recognition and video understanding

deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

defcn

End-to-End Object Detection with Fully Convolutional Network

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

harpytm

honnotate

CVPR2020. HOnnotate: A method for 3D Annotation of Hand and Object Poses

image-captioning-using-attention-mechanism-local-attention-and-global-attention-

Implemented Image Captioning Model using both Local and Global Attention Techniques and API'fied the model using FLASK

image_mosaic_stitching

Implemented a pipeline for 2D image mosaic and stitching. Feature extraction & matching, Adaptive Non-Maximal Suppression (ANMS), geometric blur, RANSAC

kaggle-api

Official Kaggle API

kair

Image Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, ESRGAN

manopth

MANO layer for PyTorch, generating hand meshes as a differentiable layer

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

moc-detector

Actions as Moving Points

monodepth-pytorch

Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

quadrotor

Quadrotor control, path planning and trajectory optimization

smplify-x

Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

veri-wild

A Large-Scale Dataset for Vehicle Re-Identification in the Wild

yet-another-efficientdet-pytorch

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.