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https://github.com/matin-ghorbani/age_estimation
Age Estimation
https://github.com/matin-ghorbani/age_estimation
age-estimation age-prediction deep-learning face-detection image-processing utkface-dataset video-processing
Last synced: about 21 hours ago
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Age Estimation
- Host: GitHub
- URL: https://github.com/matin-ghorbani/age_estimation
- Owner: matin-ghorbani
- License: mit
- Created: 2024-04-13T17:01:57.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-05-17T12:47:41.000Z (9 months ago)
- Last Synced: 2024-11-29T17:25:53.783Z (2 months ago)
- Topics: age-estimation, age-prediction, deep-learning, face-detection, image-processing, utkface-dataset, video-processing
- Language: Jupyter Notebook
- Homepage:
- Size: 1.94 MB
- Stars: 10
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Age Estimation
## This task solved with this repo
- Age Estimation: I trained a regression model on [UTKFace Dataset](https://www.kaggle.com/jangedoo/utkface-new) to estimate a person's age based on human facial appearance, using ResNet50 convolutional neural network
## How to install
### Run this command:
```bash
pip install -r requirements.txt
```
#### ***You can also download my age estimator model from [here](https://drive.google.com/file/d/1-AV5YBOrg1QjalfOzf4-kZrj4xD6NzP_/view?usp=sharing)***
*Traning Information:*
- Validation Loss: *5.6115*
- Training Loss: *2.4291*
## How to process on an image:
#### *Note: I used OpenCV cascading to detect faces. You can use any other face detector.*
### Run this command
```bash
python3 processing_on_image.py --img YOUR_IMAGE.JPG
```
#### You can also see the other arguments of it with this command
```bash
python processing_on_image.py --help
```
*For Example:*
- *`--model`*: The age estimator model file path **default:***`weights/best_age_estimator_resnet.h5`*
- *`--draw, --no-draw`*: You can draw bounding boxes on the image. **default:***`True`*
- *`--show, --no-show`*: You can see the result by this command **default:***`True`*
- *`--save, --no-save`*: You can save the result by this command **default:***`True`*
### Result of age estimator on Messi image:
## How to process on a video:
### Run this command
```bash
python3 main.py --source YOUR_VIDEO_PATH OR CAMERA_ID
```
#### You can also see the other arguments of it with this command
```bash
python main.py --help
```
*For Example:*
- *`--model`*: The age estimator model file path **default:***`weights/best_age_estimator_resnet.h5`*
- *`--draw, --no-draw`*: You can draw bounding boxes on the image. **default:***`True`*
### Result of age estimator on Messi image:
