Taro Makino taromakino
mpatacchiola
/ tinyimagenet_validation_preprocessing.py
Last active
June 28, 2019 09:47
This script moves the images from the `val/images` folder to the `val/class_id` folder. This is useful if you want to load the dataset with torchvision ImageFolder class. Run the script from the `tiny-imagenet-200` folder. The dataset can be downloaded from https://tiny-imagenet.herokuapp.com
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| import shutil | |
| import os | |
| for i, line in enumerate(map(lambda s: s.strip(), open("./val/val_annotations.txt"))): | |
| name, wnid = line.split("\t")[0:2] | |
| origin_path_file = "./val/images/" + name | |
| destination_path = "./val/" + wnid | |
| destination_path_file = "./val/" + wnid + "/" + name | |
| if not os.path.exists(destination_path): os.makedirs(destination_path) | |
| shutil.move(origin_path_file, destination_path_file) |
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| # -*- coding: utf-8 -*- | |
| u""" | |
| Beta regression for modeling rates and proportions. | |
| References | |
| ---------- | |
| Grün, Bettina, Ioannis Kosmidis, and Achim Zeileis. Extended beta regression | |
| in R: Shaken, stirred, mixed, and partitioned. No. 2011-22. Working Papers in | |
| Economics and Statistics, 2011. |