About The Project Quick tutorial to setup a Google Drive Server for multiple machines access, and VFX Pipeline on Windows Setup Server It’s important to assign a similar letter on every machine at every Google Drive File Stream fresh install, otherwise directories will be broken Tick Stream Files (Default Option) Copy the .config folder to Z:/My Drive/ and make it Available offline by Right Cliking, Offline access > Available offline to ensure an access to the files even if the […]

This is the official implementation of paper: Embracing Single Stride 3D Object Detector with Sparse Transformer Authors:Lue Fan,Ziqi Pang,Tianyuan Zhang,Yu-Xiong Wang,Hang Zhao,Feng Wang,Naiyan Wang,Zhaoxiang Zhang Paper Link (Check again on Monday) Introduction and Highlights SST is a single-stride network, which maintains original feature resolution from the beginning to the end of the network. Due to the characterisric of single stride, SST achieves exciting performances on small object detection (Pedestrian, Cyclist). For simplicity, except for backbone, SST is almost the same […]

This repository holds all the source code, tests and documentation of the TIFTAsoftware. The main goals of this program are: Ensure a safe and secure connection via SSH. Take advantage of SSH to establish an SFTP secure channel. Allow users to upload, download and remove files from remote server. The TIFTA software is nuder heavy development and ships in the form of a commandline application. No graphical user interface is provided yet. How to install For users If you would […]

Vision Transformers for Dense Prediction This repository contains code and models for our paper: Vision Transformers for Dense PredictionRené Ranftl, Alexey Bochkovskiy, Vladlen Koltun Changelog [March 2021] Initial release of inference code and models Setup Download the model weights and place them in the weights folder: Monodepth: Segmentation: Set up dependencies: pip install -r requirements.txt The code was tested with Python 3.7, PyTorch 1.8.0, OpenCV 4.5.1, and timm 0.4.5 Usage Place one or more input images in the folder input. […]

Tensorflow2 implementation of the Vision Transformer(ViT). This repository is for An image is worth 16×16 words: Transformers for image recognition at scale and How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers. Limitations. Due to memory limitations, only the ti/16, s/16, and b/16 models were tested. Due to memory limitations, batch_size 2048 in s16 and 1024 in b/16 (in paper, 4096). Due to computational resource limitations, only reproduce using imagenet1k. All experimental results and graphs are opend […]

Lili Chen*, Kevin Lu*, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas†, and Igor Mordatch† *equal contribution, †equal advising A link to our paper can be found on arXiv. Overview Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.Contains scripts to reproduce experiments. Instructions We provide code in two sub-directories: atari containing code for Atari experiments and gym containing code for OpenAI Gym experiments.See corresponding READMEs in each folder for instructions; scripts should be run […]

(2020/06/21) Code of PVTv2 is released! PVTv2 largely improves PVTv1 and works better than Swin Transformer with ImageNet-1K pre-training. The image is from Transformers: Revenge of the Fallen. This repository contains the official implementation of PVTv1 & PVTv2 in image classification, object detection, and semantic segmentation tasks. Model Zoo Image Classification Classification configs & weights see >>>here

This is the official implementation of Theme Transformer. Checkout our demo and paper : Demo | arXiv Environment: using python version 3.6.8 install python dependencies: pip install -r requirements.txt To train the model with GPU: python train.py –cuda To generate music from theme python inference.py –cuda –theme –out_midi Details of the files in this repo

SwinIR function for VapourSynth, based on https://github.com/JingyunLiang/SwinIR. Dependencies NumPy PyTorch, preferably with CUDA. Note that torchvision and torchaudio are not required and hence can be omitted from the command. VapourSynth Installation pip install –upgrade vsswinir python -m vsswinir Usage from vsswinir import SwinIR ret = SwinIR(clip) See __init__.py for the description of the parameters. GitHub View Github    

Transforme rapidamente seu arquivo CSV (de qualquer tamanho) para SQL de forma rápida, e com isso insira seus dados usando INSERT de uma forma simples. Usando É necessário ter o Python3.9+ git clone https://github.com/willy-r/csv-to-sql.git cd transform-to-sql python3.9 csv_to_sql.py arquivo_de arquivo_para Exemplo de uso python3.9 csv_to_sql.py detalhes_jogos.csv data/detalhes_jogos.sql GitHub View Github