A Python package for managing and retrieving ImageNet-1k mappings among integer class IDs, string class IDs, and human-readable class names.
Project description
ImageNet Classes
A Python package for managing and retrieving ImageNet-1k (ImageNet2012) class names and mappings.
Installation
From PyPI (when published)
pip install imagenet-classes
From Source
git clone https://github.com/gonikisgo/imagenet-classes.git
cd imagenet-classes
pip install -e .
Quick Start
from class_mapping import ClassDictionary
# Initialize the class dictionary
class_dict = ClassDictionary()
# Get class name for ImageNet-1k class index 0
class_name = class_dict.get_class_name(0)
print(f"Class 0: {class_name}")
# Get ImageNet21k to ImageNet-1k class mapping
class_1k = class_dict.get_class_1k("n01440764")
print(f"Class 1k mapping: {class_1k}")
# Get custom class name
custom_name = class_dict.get_custom_class_name(0)
print(f"Custom name: {custom_name}")
License
This project is licensed under the MIT License - see the LICENSE file for details.
Support
For support, please open an issue on the GitHub repository.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file imagenet_classes-0.1.2.tar.gz.
File metadata
- Download URL: imagenet_classes-0.1.2.tar.gz
- Upload date:
- Size: 633.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b9ab402a9ee9b5daec29d9e184d7b3f07bd4bb9d38ad53b3ddfd1f885542d3a0
|
|
| MD5 |
d8f6f948229a8f1f5259594db4adb9ce
|
|
| BLAKE2b-256 |
e9432347a232a1ead8954efe2911c0d62aa11611d28757c1778499d4e675584d
|
File details
Details for the file imagenet_classes-0.1.2-py3-none-any.whl.
File metadata
- Download URL: imagenet_classes-0.1.2-py3-none-any.whl
- Upload date:
- Size: 632.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
905c42cd3e60c8ca55b1044cb2d95a81218a553237690309f0061b37e1cec4d8
|
|
| MD5 |
c72dfbca70458aac72f62ca95b952f88
|
|
| BLAKE2b-256 |
5da97fd24197e7eaf54d9c20ac61a76ea1d8651adcb9cced9d41931b01149603
|