RobustVideoMatting and background composing in one model by using onnxruntime.
pip install -r requirements.txt
python infer_cam_onnx_freeze.py
Press key 1~4 for changing 4 background images in folder backgrounds, press key 5 for using video as background, press 0 for green background, press q for raw web-cam stream.
Solve memory leak, which may caused by cap.read()
DeiT: Data-efficient Image Transformers This repository contains PyTorch evaluation code, training code and pretrained models for DeiT (Data-Efficient
Chunkmogrify: Real image inversion via Segments Teaser video with live editing sessions can be found here This code demonstrates the ideas discussed i
AdaptationSeg This is the Python reference implementation of AdaptionSeg proposed in "Curriculum Domain Adaptation for Semantic Segmentation of Urban
Algorithmic encoding of protected characteristics and its implications on disparities across subgroups This repository contains the code for the paper
audioLIME This repository contains the Python package audioLIME, a tool for creating listenable explanations for machine learning models in music info
Elaborative Rehearsal for Zero-shot Action Recognition This is an official implementation of: Shizhe Chen and Dong Huang, Elaborative Rehearsal for Ze
PFFDTD is an open-source FDTD simulator for 3D room acoustics
subject0_validation_poses.mp4 Left: SMPL-X human mesh registered with SMPLify-X, middle: SMPLpix render, right: ground truth video. SMPLpix: Neural Av
kaggle_riiid Transformer part of 12th place solution in Riiid! Answer Correctness Prediction. Please see here for more information. Execution You need
Video Autoencoder: self-supervised disentanglement of 3D structure and motion This repository contains the code (in PyTorch) for the model introduced
BERT-Syntax Assesing the syntactic abilities of BERT. What Evaluate Google's BERT-Base and BERT-Large models on the syntactic agreement datasets from
PubTables-1M This repository contains training and evaluation code for the paper "PubTables-1M: Towards a universal dataset and metrics for training a
InsGen - Data-Efficient Instance Generation from Instance Discrimination Data-Efficient Instance Generation from Instance Discrimination Ceyuan Yang,
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR)
ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction. NeurIPS 2021.
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning Requirements All experiments are done with python3.6, torch
TUPÃ: Electric field analyses for molecular simulations What is TUPÃ? TUPÃ (pronounced as tu-pan) is a python algorithm that employs MDAnalysis engine
NEWLY ADDED A3G A NEW GPU/CPU ARCHITECTURE OF A3C FOR SUBSTANTIALLY ACCELERATED TRAINING!! RL A3C Pytorch NEWLY ADDED A3G!! New implementation of A3C
Master Release Pytorch - Py + Nim A Nim frontend for pytorch, aiming to be mostly auto-generated and internally using ATen. Because Nim compiles to C+
StarSpace StarSpace is a general-purpose neural model for efficient learning of entity embeddings for solving a wide variety of problems: Learning wor
3.2k Jan 06, 2023
112 Jan 04, 2023
128 Oct 19, 2022
15 Oct 24, 2022
27 Dec 01, 2022
26 Sep 24, 2022
34 Nov 24, 2022
292 Dec 30, 2022
2 Apr 23, 2022
157 Dec 22, 2022
147 Aug 02, 2022
365 Jan 04, 2023
93 Dec 25, 2022
3k Dec 31, 2022
59 Nov 25, 2022
121 Sep 26, 2022
10 Jul 17, 2022
532 Jan 02, 2023
425 Dec 22, 2022