Deep learning model for fatigue detection
Meta Information
- Trained on open source dataset from kaggle
- Following are the predictable classes
- Closed(eyes)
- Open(eyes)
- no_yawn
- yawn
Usage
- Make sure you have Python installed in your system.
- Model file will be saved locally in root directory.
- Model training info will be explained in medium blog soon.
Example
from Face_Mash import Face_Mash
model_path = 'path/of/model.h5'
img_path = 'path/of/img_file'
prediction = Face_Mash(img_path,model_path)
1 maintainer
Metadata
1 maintainer
Release files for Face-Mash 127.0.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| Face_Mash-127.0.0.0.tar.gz | 3.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Face_Mash-127.0.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.1 kB
Release files / Face_Mash-127.0.0.0.tar.gz
| Download URL | Face_Mash-127.0.0.0.tar.gz |
|---|---|
| Size | 3.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/4.0.2 CPython/3.8.10
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Release files / Face_Mash-127.0.0.0-py3-none-any.whl
| Download URL | Face_Mash-127.0.0.0-py3-none-any.whl |
|---|---|
| Size | 3.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.2 CPython/3.8.10
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