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How to Test and Use META's Segment Anything Model 2 (SAM2) Online for Free - Computer Vision
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#meta #sam2 #LLM #computervision #mechinelearning #pytorch #segmentenaythingmodel
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In this video, I will perform first online test of META's Segment Anything Model, version 2. This model is abbreviated as the SAM2 model. In the next tutorial, I will explain how to download the model on a local computer and how to write a Python script to use it.
Background information: SAM2 is a segmentation model that can enable a very fast and precise selection of any object in any video or image. You can simply make a few clicks to track an object or you can create a mask or a rectangle around an object, and the algorithm will detect and track the object.
As such, it can have a number of applications in robotics, mechatronics, and control engineering world. Let us try to test this model first online, and then, in the next video tutorial, we will explain how to download it on a local machine and how to use it in Python.
It takes a significant amount of time and energy to create these free video tutorials. You can support my efforts in this way:
- You Can also press the Thanks YouTube Dollar button
In this video, I will perform first online test of META's Segment Anything Model, version 2. This model is abbreviated as the SAM2 model. In the next tutorial, I will explain how to download the model on a local computer and how to write a Python script to use it.
Background information: SAM2 is a segmentation model that can enable a very fast and precise selection of any object in any video or image. You can simply make a few clicks to track an object or you can create a mask or a rectangle around an object, and the algorithm will detect and track the object.
As such, it can have a number of applications in robotics, mechatronics, and control engineering world. Let us try to test this model first online, and then, in the next video tutorial, we will explain how to download it on a local machine and how to use it in Python.
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