diff --git a/computer_vision/video_cvprep.py b/computer_vision/video_cvprep.py
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+"""
+Uploading a video in CoLab and getting it ready for CV
+
+Objective : upload a video and prepare for detection
+
+Resources Google Colab Video Upload
+    https://colab.research.google.com/drive/1VFIMF7mKJPFR0lMRlXt5VisMRTIgxjwd?usp=sharing
+
+Download dataset from :
+free videos from: https://www.pexels.com/search/videos/detection/ OR
+use your own.  For this demo, I used my own using the upload function.
+
+1. Download a video 
+2. Upload that video after running upload function
+3. prepare video with CV
+
+Those new to CV are challenged with the first step, how to upload the video and process for object detection.  This code will help you do just that.
+
+"""
+
+import cv2
+from google.colab import files
+from google.colab.patches import cv2_imshow
+
+# Uploading the video
+uploaded = files.upload()
+your_video = list(uploaded.keys())[0]
+
+# Save the uploaded file to Colab's runtime temporary file system
+with open(your_video, 'wb') as f:
+    f.write(uploaded[your_video])
+
+# Preparing video for CV2 library
+video = cv2.VideoCapture(your_video)
+
+if not video.isOpened():
+    print("Error opening video file")
+else:
+    print("Video successfully loaded and ready")