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README.md

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@@ -52,32 +52,32 @@ For Python 3.7 and 3.8
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python3.8 -m pip install fastdup
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```
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[Detailed isntructions, install from stable release and installation issues](INSTALL.md)
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## Running the code
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### Python
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```python
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import fastdup
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fastdup.run(input_dir="/path/to/your/folder") #main running function
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fastdup.create_duplicates_gallery('similarity.csv', save_path='.') #create a visual gallery of found duplicates
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fastdup.create_duplicates_gallery('outliers.csv', save_path='.') #create a visual gallery of anomalies
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fastdup.run(input_dir="/path/to/your/folder") #main running function
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fastdup.create_duplicates_gallery('similarity.csv', save_path='.') #create a visual gallery of found duplicates
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fastdup.create_duplicates_gallery('outliers.csv', save_path='.') #create a visual gallery of anomalies
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```
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[Detailed running instructions](RUN.md)
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![alt text](https://github.com/visualdatabase/fastdup/blob/main/gallery/fastdup_clip_24s_crop.gif)
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*Working on the Food-101 dataset. Detecting identical pairs, similar-pairs (search) and outliers (non-food images..)*
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## Getting started examples
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### Getting started examples
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- [Getting started on a Kaggle dataset](https://github.com/visualdatabase/fastdup/blob/main/examples/getting_started_kaggle.ipynb)
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- [Finding duplicates and outliers in the Food-101 datadset:](https://github.com/visualdatabase/fastdup/blob/main/examples/getting_started_food101.ipynb)
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![alt text](https://github.com/visualdatabase/fastdup/blob/main/gallery/fastdup_clip_24s_crop.gif)
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*Working on the Food-101 dataset. Detecting identical pairs, similar-pairs (search) and outliers (non-food images..)*
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### Detailed instructions
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[Detailed isntructions, install from stable release and installation issues](INSTALL.md)
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[Detailed running instructions](RUN.md)
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# Technology
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We build upon several excellent open source tools. [Microsoft's ONNX Runtime](https://github.com/microsoft/onnxruntime), [Facebook's Faiss](https://github.com/facebookresearch/faiss), [Open CV](https://github.com/opencv/opencv), [Pillow Resize](https://github.com/zurutech/pillow-resize), [Apple's Turi Create](https://github.com/apple/turicreate), [Minio](https://github.com/minio/minio), [Amazon's awscli](https://github.com/aws/aws-cli).
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# About Us
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<a href="https://www.linkedin.com/in/dr-danny-bickson-835b32">Danny Bickson</a><br>
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<a href="https://www.linkedin.com/in/amiralush">Amir Alush</a><br>

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