我正在尝试使用培训和测试集构建分类器。但是，尽管训练和测试集都不为空，但FastAI仍会引发UserWarning: Your training set is empty错误。这是终端命令的输出，以查看每个文件夹有多少项：
%cd Food-101/images/train/
!ls -1 | wc -l
%cd ../test
!ls -1 | wc -l
%cd ../../
/content/Food-101/images/train
75750
/content/Food-101/images/test
25250
/content/Food-101
这是我的代码：
import pandas as pd
from fastai import *
from fastai.vision import *
from fastai.callbacks.hooks import *
from pathlib import Path
from numba import vectorize
from subprocess import call, run
import os, git, glob, shutil
file_parse = r'/([^/]+)_\d+\.(png|jpg|jpeg)$'
np.random.seed(42)
data = ImageDataBunch.from_folder(path, train= path + '/images/train', test=path + '/images/test', valid_pct=0.2, ds_tfms=get_transforms(), size=224)
data.normalize(imagenet_stats)
这是错误：
/usr/local/lib/python3.6/dist-packages/fastai/data_block.py:458: UserWarning: Your training set is empty. If this is by design, pass `ignore_empty=True` to remove this warning.
warn("Your training set is empty. If this is by design, pass `ignore_empty=True` to remove this warning.")
/usr/local/lib/python3.6/dist-packages/fastai/data_block.py:461: UserWarning: Your validation set is empty. If this is by design, use `split_none()`
or pass `ignore_empty=True` when labelling to remove this warning.
or pass `ignore_empty=True` when labelling to remove this warning.""")
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/fastai/data_block.py in get_label_cls(self, labels, label_cls, label_delim, **kwargs)
264 if label_delim is not None: return MultiCategoryList
--> 265 try: it = index_row(labels,0)
266 except: raise Exception("""Can't infer the type of your targets.
7 frames
IndexError: index 0 is out of bounds for axis 0 with size 0
During handling of the above exception, another exception occurred:
Exception Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/fastai/data_block.py in get_label_cls(self, labels, label_cls, label_delim, **kwargs)
265 try: it = index_row(labels,0)
266 except: raise Exception("""Can't infer the type of your targets.
--> 267 It's either because your data source is empty or because your labelling function raised an error.""")
268 if isinstance(it, (float, np.float32)): return FloatList
269 if isinstance(try_int(it), (str, Integral)): return CategoryList
Exception: Can't infer the type of your targets.
It's either because your data source is empty or because your labelling function raised an error.
我不明白为什么两个目录中都清楚地装有图像时，为什么会引发此错误。
答案 0 :(得分：2)
您可以确保将<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Swiper demo</title>
<!-- Link Swiper's CSS -->
<link rel="stylesheet" href="https://unpkg.com/swiper/css/swiper.min.css">
</head>
<body>
<!-- Swiper -->
<div class="swiper-container">
<div class="swiper-wrapper">
<div class="swiper-slide">Slide 1</div>
<div class="swiper-slide">Slide 2</div>
<div class="swiper-slide">Slide 3</div>
<div class="swiper-slide">Slide 4</div>
<div class="swiper-slide">Slide 5</div>
<div class="swiper-slide">Slide 6</div>
<div class="swiper-slide">Slide 7</div>
<div class="swiper-slide">Slide 8</div>
<div class="swiper-slide">Slide 9</div>
<div class="swiper-slide">Slide 10</div>
</div>
<!-- Add Pagination -->
<div class="swiper-pagination"></div>
</div>
<!-- Swiper JS -->
<script src="https://unpkg.com/swiper/js/swiper.min.js"></script>
<!-- Initialize Swiper -->
<script>
var swiper = new Swiper('.swiper-container', {
pagination: {
el: '.swiper-pagination',
clickable: true,
renderBullet: function (index, className) {
return '<span class="' + className + '">' + (index + 1) + '</span>';
},
},
});
</script>
</body>
</html>变量设置为/ content / Food-101 /吗？
答案 1 :(得分：0)
我解决了这个问题：
data = ImageDataBunch.from_folder('/content/Food-101/images', train='/content/Food-101/images/train', test='/content/Food-101/images/test', valid_pct=0.2, ds_tfms=get_transforms(), size=224)