将自定义数据集与 fastai 一起使用时出错

问题描述

我在尝试使用我的自定义 fastai 数据集时遇到错误

错误：

Exception: Can't infer the type of your targets. 
It's either because your data source is empty or because your labeling function raised an error.

代码：

from fastai import *
from fastai.vision import *
class URL:
  MURDERHORNETS = f"https://superdata.quinniboi10.repl.co/MurderHornetimages"
path = untar_data(URL.MURDERHORNETS)
'''
path = untar_data(URLs.PETS)
files = get_image_files(path)

import PIL
img = PIL.Image.open(files[0])
img
'''

fnames = get_image_files(path)
fnames[:5]

np.random.seed (2)
pat = r'/([^/]+)_\d+\.(png|jpg|jpeg)$'

data = ImageDataBunch.from_folder(path,train=path,test=None,valid_pct=0.2,ds_tfms=get_transforms(),size=160)
data.normalize (imagenet_stats)

data.show_batch(rows=3,figsize=(7,6))

print (data.classes)
len (data.classes),data.c

learn = cnn_learner(data,models.resnet50,metrics=error_rate)

learn.fit_one_cycle(5)

learn.save ('stage-1')

数据集is here,don't comment on the name,I don't know why that is what I chose :/

获取数据集的 zip 文件 here

解决方法

暂无找到可以解决该程序问题的有效方法，小编努力寻找整理中！

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