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@ -313,18 +313,6 @@ $ deepface analyze -img_path tests/dataset/img1.jpg
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You can also run these commands if you are running deepface with docker. Please follow the instructions in the [shell script](https://github.com/serengil/deepface/blob/master/scripts/dockerize.sh#L17).
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## Derived applications
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You can use deepface not just for facial recognition tasks. It's very common to use DeepFace for entertainment purposes. For instance, celebrity look-alike prediction and parental look-alike prediction tasks can be done with DeepFace!
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**Parental Look-Alike Prediction** - [`Vlog`](https://youtu.be/nza4tmi9vhE), [`Tutorial`](https://sefiks.com/2022/12/22/decide-whom-your-child-looks-like-with-facial-recognition-mommy-or-daddy/)
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<p align="center"><img src="https://raw.githubusercontent.com/serengil/deepface/master/icon/parental-look-alike-v2.jpg" width="90%" height="90%"></p>
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**Celebrity Look-Alike Prediction** - [`Vlog`](https://youtu.be/jaxkEn-Kieo), [`Tutorial`](https://sefiks.com/2019/05/05/celebrity-look-alike-face-recognition-with-deep-learning-in-keras/)
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<p align="center"><img src="https://raw.githubusercontent.com/serengil/deepface/master/icon/look-alike-v3.jpg" width="90%" height="90%"></p>
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## Contribution [](https://github.com/serengil/deepface/actions/workflows/tests.yml)
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Pull requests are more than welcome! You should run the unit tests locally by running [`test/unit_tests.py`](https://github.com/serengil/deepface/blob/master/tests/unit_tests.py) before creating a PR. Once a PR sent, GitHub test workflow will be run automatically and unit test results will be available in [GitHub actions](https://github.com/serengil/deepface/actions) before approval. Besides, workflow will evaluate the code with pylint as well.
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