Autolabel is an image labeling tool using Neural Network
Project description
Autolabel
Autolabel is an image labeling tool. Currently images are labeled using ResNet18-152 implemented by pytorch. Autolabel can be used as a cli tool or as a library.
Installation
python setup.py install
Command line usage
See --help for a command overview
Usage: autolabel [OPTIONS] [IMAGES]...
Options:
--batch-size INTEGER
--sep TEXT Separator
--top INTEGER
-o, --output FILENAME Output file
-m, --model [resnet18|resnet34|resnet50|resnet101|resnet152]
--help Show this message and exit.
In the simplest form this mean:
autolabel image.jpg
Autolabel supports reading file names from STDIN:
find /myimages -type f -iname '*.jpg' | autolabel
Library usage
from autolabel.image import ImageListDataset
from autolabel.classifier.resnet import Resnet18Classifier
from pathlib import Path
classifier = Resnet18Classifier()
images = [Path('/path/to/image.jpg'), Path('/path/to/another/image.png')]
dataset = ImageListDataset(images)
res = classifier.predict(dataset, top=top)
for p, decoded in res.items():
print(p, decoded)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
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 autolabel-0.0.1.tar.gz.
File metadata
- Download URL: autolabel-0.0.1.tar.gz
- Upload date:
- Size: 21.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
11d4cd7a5971cb67edb313d028a0f64400c1d3c4910fd97cfa220a79feb8814a
|
|
| MD5 |
2f381d0f0c4693287d1eff3f2f7e3dec
|
|
| BLAKE2b-256 |
1e4c5113573bd9534857700f80cd45af266eed98240cee739d121e0bb897e1a2
|
File details
Details for the file autolabel-0.0.1-py3.8.egg.
File metadata
- Download URL: autolabel-0.0.1-py3.8.egg
- Upload date:
- Size: 83.7 kB
- Tags: Egg
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ace3e3ede6a784034abb095ea09d5e260da26d635948aa3a52d1566c68e2d4c2
|
|
| MD5 |
0c04a6c432966387b1a1da058f46bfea
|
|
| BLAKE2b-256 |
327ff95ca71981a3e04bf2b89de49b76499223086c6f8a1f1ca1cdff7e8607b4
|
File details
Details for the file autolabel-0.0.1-py3-none-any.whl.
File metadata
- Download URL: autolabel-0.0.1-py3-none-any.whl
- Upload date:
- Size: 36.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fd7306779ba0fd24aba560f5a0425efb0b11c959e271a366a15ee128c34f4c17
|
|
| MD5 |
288788207506c2296b253ef56fa866f2
|
|
| BLAKE2b-256 |
0d6da0fa34ad9ae24307ddfc54b99ff34ddae47dac365ce5cb6f04ef5fa09642
|