how to run generate dataset.lst code about mxnet-im2rec_tutorial

[leocvml]

hello , Sorry for my late reply
I’m not sure I understand what you mean.
you have a image and it named as id_1_labels_[95,66,137,70,20].jpg
i think first you should use

from os import listdir
train_path = 'D:/DeepLearning/ ...'  # your training image path
img_name = [f for f in listdir(train_path)]

print(img_name)

and split image_name like this

img_names = 'id_1_labels_[95, 66, 137, 70, 20].jpg'
anno = img_names.split('_')
xywhc = (anno[3].split('.')[0])[1:-1].split(',')
print(anno)
print(xywhc)

if you didn't know the WxH of image ,just use skimage or opencv to open it!
and check each shape to normalization

[annabechang]

I see. and replace the #class with xywhc?
Thank you for such detailed explanation!