Answers.Body: <p>That is going to depend on the library you use. In general, the term you should google is Cuda along with your GPU. In TensorFlow I have used things like <a href="https://www.tensorflow.org/guide/gpu" rel="nofollow noreferrer">this</a>
  and I would recommend looking <a href="https://stackoverflow.com/questions/50622525/which-tensorflow-and-cuda-version-combinations-are-compatible">here</a> and <a href="https://medium.com/analytics-vidhya/installing-tensorflow-cuda-cudnn-for-nvidia-geforce-gtx-1650-ti-onwindow-10-99ca25020d6c" rel="nofollow noreferrer">here</a>.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2023-11-08T12:57:41.617Z
Answers.Text: Awesome! I was able to use the GPU now. Thank you.
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Answers.Text: This is a programming question. **Programming questions are off-topic**. Please, stop answering questions that are off-topic. If you're not familiar with the on-topic page, this is the perfect time to do it: https://ai.stackexchange.com/help/on-topic
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Body: <p>My laptop has NVIDIA GeForce GTX1650 GPU. I want to utilize this GPU to run my Python script. Any help in the form of code would be really helpful. I mean tried researching this so much but I couldn't find.</p>
  <p>Basically I am looping over all the frames of a video and at each frame I am using yolov8s-pose model to detect the keypoints. So since it is running on my CPU, it is very slow. So, that is the reason I need to know how to utilize my device's GPU to run it. Any help would be highly appreciated! Thank you.</p>
  
Tags: <computer-vision><python><yolo><gpu><opencv>
Title: How to run our python scripts utilizing our device's GPU?
UserDisplayName: Escanor6
ThreadText: # How to run our python scripts utilizing our device's GPU?
  
  (Asked by: username_0 on 2023-11-06)
  
  My laptop has NVIDIA GeForce GTX1650 GPU. I want to utilize this GPU to run my Python script. Any help in the form of code would be really helpful. I mean tried researching this so much but I couldn't find.
  
  Basically I am looping over all the frames of a video and at each frame I am using yolov8s-pose model to detect the keypoints. So since it is running on my CPU, it is very slow. So, that is the reason I need to know how to utilize my device's GPU to run it. Any help would be highly appreciated! Thank you.
  
  **Tags:** computer-vision, python, yolo, gpu, opencv
  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2023-11-08. Score: 0 | Accepted answer
  
  That is going to depend on the library you use. In general, the term you should google is Cuda along with your GPU. In TensorFlow I have used things like [this](https://www.tensorflow.org/guide/gpu)
  and I would recommend looking [here](https://stackoverflow.com/questions/50622525/which-tensorflow-and-cuda-version-combinations-are-compatible) and [here](https://medium.com/analytics-vidhya/installing-tensorflow-cuda-cudnn-for-nvidia-geforce-gtx-1650-ti-onwindow-10-99ca25020d6c).
  
  > **Comments:**
  > **username_0**: Awesome! I was able to use the GPU now. Thank you.  
  > **username_2**: This is a programming question. **Programming questions are off-topic**. Please, stop answering questions that are off-topic. If you're not familiar with the on-topic page, this is the perfect time to do it: https://ai.stackexchange.com/help/on-topic  
  
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