Revitalize Region Feature for Democratizing Video-Language Pre-training Guanyu Cai, Yixiao Ge, Alex Jinpeng Wang, Rui Yan, Xudong Lin, Ying Shan, Lianghua He, Xiaohu Qie, Jianping Wu, Mike Zheng Shou [Arxiv] Pytorch implementation of our method for video-language pre-training. Requirement conda create -n demovlp python=3.8 source activate demovlp pip install -r requirements Pre-trained weights Model Dataset Download DemoVLP WebVid+CC3M Model DemoVLP WebVid+CC3M+CC7M Model Data Download Pre-trained model mkdir pretrained cd pretrained wget -c https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-vitjx/jx_vit_base_p16_224-80ecf9dd.pth cd    

WARNING! THIS LANGUAGE IS A WORKING PROGRESS. THIS IS JUST A HOBBY PROJECT Inspired by Tsoding Roudmap for Morth (Milestones) Compiled Interpreted (Simulated) Stack based Easy to use (for a stack based language) Turing-complete Dynamically typed Optimized Workflow of the compiler Analysing Source File -> Converting Words in Operation Codes -> Generating Assembly Code -> Compiling Assembly with NASM -> Linking Objectfile with the GNU Linker -> Selfcontaining Executable GitHub View Github