Mask R-CNN Object Segmentation in Python

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In this video 📝 we are going to see an example with Mask R-CNN for Object Segmentation in Python. We will first see the architecture of the model and talk about it. We are then going to see how to set it up in google colab with the tpu for faster inference time.

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Tags:
#MaskRCNN #DeepLearning #TensorFlow
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NicolaiAI
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Hi I've been following your tutorial for finding Depth through stereo vision, I have a question, how do find the baseline between the 2 cameras ? In your Code In GitHub you have assumed the value of B as 9 but im not sure how you obtained this information .

aniketgangotri
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Many thanks to your video
How can i export all mask to .csv file? with (false or 0) not detected and (true or 1) detected?

waleedak
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Man if you talk about how we can make it real time I would be perfect!!!

gokhanevlek
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Hi! Came across your channel today, and after watching some of your tensorflow transfer learning videos with colab I have instantly subscribed! I want to become a channel member, and pay for the help with a project subscription. Before I do I just want to ask, when is the soonest you will be available to provide help? If possible I'd like to have some help as soon as possible. I am working on a project utilising transfer learning of the mobilenet architecture for an autonomous driving project to predict an angle and a speed! :)

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