diff --git a/README.md b/README.md index 89ba01e..8e8a22e 100644 --- a/README.md +++ b/README.md @@ -21,6 +21,8 @@ It is based on the best practices observed in my previous repository [`download- - Install the required packages: ```bash +python -m pip install --upgrade pip +pip install --upgrade cython pip install -r requirements.txt ``` @@ -33,7 +35,7 @@ It consists of 19,049 **vertical** Steam banners resized from 300x450 to 256x256 ## Usage -### Features +### 1. Features First, compute and store the 1024 features corresponding to each banner: @@ -41,7 +43,7 @@ First, compute and store the 1024 features corresponding to each banner: python build_feature_index.py ``` -### Similar games +### 2. Similar games Find the **10** most similar store banners to curated query appIDs: @@ -50,23 +52,22 @@ python retrieve_similar_features.py ``` NB: by default, query appIDs consist of: -- the top 100 most played games during the past two weeks, according to SteamSpy, +- the top 100 most played games during the past two weeks, according to [SteamSpy][steamspy-api], - a few manually curated games. -### Unique games +### 3. Unique games -Find the **one** most similar store banner to all appIDs available on the store: +Find the **one** most similar store banner to all appIDs available on the store, then display the most unique games: ```bash python find_unique_games.py ``` -NB: the most *unique* games are the ones which are the most dissimilar to others, so with the lowest similarity score to -their first neighbor. +NB: *unique* games are ones which are the most dissimilar (low similarity score) to others to their first neighbor. ## Results -Results obtained with ([MobileNet v3][keras-mobilenet]) are shown [on the Wiki][my-wiki]. +Results obtained with [MobileNet v3][keras-mobilenet] are shown [on the Wiki][my-wiki]. ## References @@ -96,4 +97,4 @@ Results obtained with ([MobileNet v3][keras-mobilenet]) are shown [on the Wiki][ [colab-notebook-download]: [my-wiki]: [screenshot-repository]: - +[steamspy-api]: