From aece54a886817bcb33f67e30785c08e4e24c0356 Mon Sep 17 00:00:00 2001
From: brad-gh <32170926+brad-gh@users.noreply.github.com>
Date: Sun, 30 Oct 2022 20:31:26 -0400
Subject: [PATCH] Dead link replaced and explained how to find the
 documentation if the new link dies

---
 projects/project3/README.md | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/projects/project3/README.md b/projects/project3/README.md
index e440920..03085f2 100644
--- a/projects/project3/README.md
+++ b/projects/project3/README.md
@@ -57,10 +57,7 @@ You have to save the trained model in `my_own_model.pkl` and to explain the chos
 
 - Predict at least one emotion per second from the video stream. The minimum requirement is printing in the prompt the predicted emotion with its associated probability. If there's any problem related to the webcam use as input the a recorded video stream. 
 
-For that step, I suggest again to use **OpenCV** as much as possible: 
-    
-    - https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_gui/py_video_display/py_video_display.html
-
+For that step, I suggest again to use **OpenCV** as much as possible. This link shows how to work with a video stream with OpenCV. OpenCV documentation may become deprecated in the futur. However, OpenCV will always provide tools to work with video streams, so search on the internet for OpenCV documentation and more specifically "opencv video streams". https://docs.opencv.org/4.x/dd/d43/tutorial_py_video_display.html
 
 - Optional: **(very cool)** Hack the CNN. Take a picture for which the prediction of your CNN is **Happy**. Now, hack the CNN:  using the same image **SLIGHTLY** modified make the CNN predict **Sad**. https://medium.com/@ageitgey/machine-learning-is-fun-part-8-how-to-intentionally-trick-neural-networks-b55da32b7196