From 77fac4b3e8f951612095a3f15f226e04815ddd29 Mon Sep 17 00:00:00 2001
From: Reece Iriye <63213726+reece-iriye@users.noreply.github.com>
Date: Mon, 22 Apr 2024 12:59:16 -0500
Subject: [PATCH] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index bf57956..908d7e7 100644
--- a/README.md
+++ b/README.md
@@ -91,7 +91,7 @@ This function returns an array as embedding. The size of the embedding array wou
 ```python
 embedding = embedding_objs[0]["embedding"]
 assert isinstance(embedding, list)
-assert model_name = "VGG-Face" and len(embedding) == 4096
+assert model_name == "VGG-Face" and len(embedding) == 4096
 ```
 
 Here, embedding is also [plotted](https://sefiks.com/2020/05/01/a-gentle-introduction-to-face-recognition-in-deep-learning/) with 4096 slots horizontally. Each slot is corresponding to a dimension value in the embedding vector and dimension value is explained in the colorbar on the right. Similar to 2D barcodes, vertical dimension stores no information in the illustration.