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README.md

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@@ -46,13 +46,13 @@ We have thoroughly tested fastdup across various famous visual datasets. Ranging
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* All experiments could be also reproduced on a 8 core, 32GB machine (excluding Imagenet-21K).
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* We run on the full ImageNet-21K dataset (11.5M images) to compare all pairs of images in less than 3 hours WITHOUT a GPU (with Google cloud cost of 5$).
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## Quick Installation (Ubuntu 20.04 or Ubuntu 18.04)
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For Python 3.7 and 3.8
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# Quick Installation
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For Python 3.7 and 3.8 (Ubuntu 20.04 or Ubuntu 18.04)
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```python
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python3.8 -m pip install fastdup
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```
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## Running the code
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# Running the code
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```python
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import fastdup
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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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#### Detailed instructions
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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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