一、给的源数据分析
GitHub - lucamarini22/marine-anomaly-detection: Semantic segmentation of marine anomalies using semi-supervised learning (FixMatch for semantic segmentation) on Sentinel-2 multispectral images. 
二、wandb 使用教程
注册
权重与偏见：人工智能开发者平台 (wandb.ai)
wandb使用教程(一)：基础用法 - 知乎 (zhihu.com)
pip install wandbwandb login 
Currently logged in as: anony-moose-277540. Use `wandb login --relogin` to force relogin
运行官方例子
import wandb
import random# start a new wandb run to track this script
wandb.init(# set the wandb project where this run will be loggedproject="my-awesome-project",# track hyperparameters and run metadataconfig={"learning_rate": 0.02,"architecture": "CNN","dataset": "CIFAR-100","epochs": 10,}
)# simulate training
epochs = 10
offset = random.random() / 5
for epoch in range(2, epochs):acc = 1 - 2 ** -epoch - random.random() / epoch - offsetloss = 2 ** -epoch + random.random() / epoch + offset# log metrics to wandbwandb.log({"acc": acc, "loss": loss})# [optional] finish the wandb run, necessary in notebooks
wandb.finish()结果
教程使用完成。
三、下面是我自己运行github上代码教程
wandb sweep --project geo_thermal1 config.yamlERROR Expected sweep_id in form of sweep, project/sweep, or entity/project/sweep运行代码
wandb agent --count 5 wuhandigitallife/geo_thermal1/4eq4bor5
python3.7版本太低了。重新配置环境
一个假期回来，全忘了，页面就是直接调试train的
1、读取数据
感觉不适用于我现在的研究，这个是多光谱
