fixing

Author: dbickson

RUN.md

@@ -282,7 +282,7 @@ it is possible to run on a few computing nodes, to extract the features, in para
 
 It is possible to compute feature vectors on your own. For running fastdup with your own feature vectors export the feature vectors into binary format using the function `fastdup.save_binary_feature(save_path, filenames, np_array)`. Where `save_path` is the folder you like to run from, filenames is a list of aboslute paths of the images of length `n`, and `np_array` is a matrix of size `n x d` where `d` is the feature vector length. Note that the np_array should be of type `'float32'`.  
 
-Next run fastdup with run_mode=2 (which skips the image extractioin phase and loads your stored features instead) and make sure to point `work_dir` to the `save_path` which is the location of your stored features. Don't forget to assign `d` to your feature length.
+Next run fastdup with run_mode=2 (which skips the image extraction phase and loads your stored features instead) and make sure to point `work_dir` to the `save_path` which is the location of your stored features. Don't forget to assign `d` to your feature length.
 
 Example:
 ```python