Getting files

Maybe you can use the file system object and get files form a specified folder?

async function get_files(total){

const myFolder = 'testfolder';
let files = []
let count =0

fs.readdirSync(myFolder).forEach(file => {
if(count <= total){
file = testFolder + file

files.push(file)
} else {

}

count ++
});
return files
}

Pass the list into the function that loads the images and loop through the array. Also resizing the image to fit your model specifications. I used 100*100 images. This way any image from any folder can be used as training data.

`
async function loadImages(files){
console.log("files",files)
const x_inputs = [];
let l=0
for(let file of files){
const img = await Jimp.read(file).then((img) => {
img.resize(100,100)
return img
})... ... ...

`
Try the number training dataset. I get some very cool results.

I have been fascinated with this for the last week, so I thought I would thank you and provide my feedback.

James.

首先定位现有的图像加载和训练入口点，然后将它们与提议的 get_files 和 loadImages 函数进行比较。检查项目目前如何提供图像路径和模型维度；当指定文件夹能够提供一个有界的图像数据集，并且图像在训练前完成调整大小且不破坏现有流程时，即视为完成。

由索引模型根据 Issue 内容生成。