This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| """ | |
| # Anomaly Simulation for MVTecAD | |
| # Download describable textures dataset | |
| wget https://www.robots.ox.ac.uk/~vgg/data/dtd/download/dtd-r1.0.1.tar.gz | |
| # Download MVTec anomaly detection dataset | |
| wget https://www.mydrive.ch/shares/38536/3830184030e49fe74747669442f0f282/download/420938113-1629952094/mvtec_anomaly_detection.tar.xz | |
| """ | |
| import os | |
| import random |
BIGBALLON
/ imagenet21k_ids_with_classnames.csv
Created
June 20, 2023 07:51
Imagenet21k label with classnames
We can't make this file beautiful and searchable because it's too large.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| n00004475,organism, being | |
| n00005787,benthos | |
| n00006024,heterotroph | |
| n00006484,cell | |
| n00007846,person, individual, someone, somebody, mortal, soul | |
| n00015388,animal, animate_being, beast, brute, creature, fauna | |
| n00017222,plant, flora, plant_life | |
| n00021265,food, nutrient | |
| n00021939,artifact, artefact | |
| n00120010,hop |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import colorlog | |
| import logging | |
| # 创建日志记录器 | |
| logger = colorlog.getLogger(__name__) | |
| # 设置日志级别和格式 | |
| logger.setLevel(logging.DEBUG) | |
| formatter = colorlog.ColoredFormatter( | |
| "%(log_color)s%(levelname)-8s%(reset)s %(log_color)s%(asctime)s | %(blue)s%(message)s", |
BIGBALLON
/ radar.ipynb
Created
January 13, 2024 18:52
— forked from donglixp/radar.ipynb
Radar figure in BEiT-3
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Package Version | |
| ----------------------------- ----------- | |
| absl-py 2.1.0 | |
| accelerate 0.30.0 | |
| addict 2.4.0 | |
| aiofiles 23.2.1 | |
| aiohttp 3.9.5 | |
| aiosignal 1.3.1 | |
| aliyun-python-sdk-core 2.15.1 | |
| aliyun-python-sdk-kms 2.16.3 |
BIGBALLON
/ pytorch_diagnostics.py
Created
April 24, 2025 11:14
This script is useful for developers, researchers, or system administrators who want to ensure that a PyTorch environment is correctly installed and fully operational for deep learning tasks, both on CPU and GPU.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #!/usr/bin/env python3 | |
| # -*- coding: utf-8 -*- | |
| import sys | |
| # Function to print a formatted section header | |
| def print_header(msg): | |
| print("\n" + "=" * len(msg)) | |
| print(msg) | |
| print("=" * len(msg)) |
OlderNewer