A simple baseline for the 2022 IEEE GRSS Data Fusion Contest (DFC2022) This repository uses TorchGeo, PyTorch Lightning, and Segmentation Models PyTorch to train a U-Net to perform semantic segmentation on the DFC2022 dataset. Masks for the holdout set are then predicted and zipped to be submitted. Note that the the baseline is only trained on the small labeled train set containing imagery from the Nice and Nantes Saint-Nazaire regions. Install packages pip install -r requirements.txt Dataset The dataset can […]

Requirements and Installation More details see fairseq. Briefly, python == 3.6.4 pytorch == 1.7.1 Installing fairseq and other requirements git clone https://github.com/MUGE-2021/image-caption-baseline cd muge_baseline/ pip install -r requirements.txt cd fairseq/ pip install –editable . Downloading data and place to dataset/ directory,file structure is text2image-baseline – dataset – ECommerce-T2I – T2I_train.img.tsv – T2I_train.text.tsv – … Getting Started The model is a BART-like model with vqgan as a image tokenizer, please see models/t2i_baseline.py for detailed model structure. Training

This codebase contains an example submission for the STOIC2021 COVID-19 AI Challenge. As a baseline algorithm, it implements a simple evaluation pipeline for an I3D model that was trained on the STOIC2021 training data. You can use this repo as a template for your submission to the Qualification phase of the STOIC2021 challenge. If something does not work for you, please do not hesitate to contact us or add a post in the forum. If the problem is related to […]

Environment check details in Jidi Competition RLChina2021智能体竞赛 做出的修改： 奖励重塑：修改了环境，重新设置了奖励的分配，使得奖励组成不只有零和博弈，还有探索环境的奖励。 算法微调：修改了官方PPO算法的actor loss部分，增加了对actor分布熵的约束，未来计划加入RND、ICM等辅助部件。 Dependency conda create -n olympics python=3.8.5 conda activate olympics pip install -r requirements.txt Run a game python olympics/main.py Train a baseline agent python rl_trainer/main.py By default parameters, the total reward of training is shown below. GitHub View Github