yolo_auto
What is yolo_auto?
A library that allows you to train custom yolv3 object detectors in one line!
How does yolo_auto work?
Syntax =
x = Yolov3Train(Path to Labels, Path To images,number of classes, classnames in an array, Path to Working Directory, Subdivisions=8,batches-16, Image size=608)
x.train()
Sample:
x = Yolov3Train("/Users/arjunpandey/Desktop/AI-Stuff/newlib/data/labels","/Users/arjunpandey/Desktop/AI-Stuff/newlib/data/images",classes,classnames,"/Users/arjunpandey/Desktop/AI-Stuff/newlib/")
x.train()
1 maintainer
Metadata
1 maintainer
Release files for yolo-auto 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| yolo_auto-0.0.2.tar.gz | 2.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| yolo_auto-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.2 kB
Release files / yolo_auto-0.0.2.tar.gz
| Download URL | yolo_auto-0.0.2.tar.gz |
|---|---|
| Size | 2.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.4
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Release files / yolo_auto-0.0.2-py3-none-any.whl
| Download URL | yolo_auto-0.0.2-py3-none-any.whl |
|---|---|
| Size | 3.8 kB |
| Tags | Python 3 |
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twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.4
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