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You will want to experiment with different frame rates and video lengths to see how effectively they work with in our cluster counter. The video used in this tutorial was filmed at 250 fps and is 17 seconds long. We are actively testing much lower frame rates (60 fps) and longer videos and we will update this document as we come up with further recommendations. Here is the video we’ll be using in this example:

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Get Organized

  1. Sign in to drive.google.com using your Google account. Click on ‘My Drive’ to see any existing files/folders in your Google Drive. Click ‘New’ → ‘New folder’ to create a new folder for your project. For the sake of this tutorial, call the folder ‘Computer_Vision’.

    Screenshot 2024-04-30 at 7.51.50 AM.png

    Screenshot 2024-04-30 at 7.52.13 AM.png

    Screenshot 2024-04-30 at 7.52.45 AM.png

  2. Next, double-click into your ‘Computer_Vision’ folder. Inside this folder, we will upload our model weights alongside the video file you have captured with your phone. For this tutorial, download our ‘nighttime-grape-flower-clusters’ and upload it to your ‘Computer_Vision’ folder. You can download the file here:

    View file
    namenighttime-grape-flower-clusters.pt

  3. At this point, you should have a video file and a trained model next to each other in your ‘Computer_Vision’ folder. For the sake of this tutorial, we’ll name our file ‘test.MOV’. Don’t worry if your video file is in a different format; our processing script will convert it later.

    Screenshot 2024-04-30 at 12.58.28 PM.png

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