xphraze1989
New member
Hello everyone,
I'm exploring the potential of using the Pixel Processing Pipeline (PXP) on the Teensy 4.x microcontrollers for neural network computations. The core concept is to represent neural networks and their weights as images, allowing the PXP to process these 'images' for computations. The PXP, known for its efficient 2D graphics processing capabilities, could handle tasks like image blending, rotation, and color space conversion, potentially offloading significant work from the CPU.
Why PXP for Neural Networks?The PXP is designed for high-efficiency image processing, which includes operations like image blending and color space conversion. By representing neural network computations in a format compatible with these operations, we could leverage the PXP's power while keeping the CPU free for other tasks. This approach could open up new possibilities for neural network applications on the Teensy platform.
Current Status:I'm currently in the early stages, exploring the PXP's capabilities and figuring out how to map neural network operations to its functionality. This involves understanding the PXP library and experimenting with basic image processing tasks.
I'm reaching out to see if anyone in the community has worked with the PXP or has insights into manipulating image data for complex computations. Collaboration, advice, or any pointers you could offer would be incredibly valuable. I believe this project has the potential to add a fascinating dimension to what we can achieve with the Teensy 4.x series.
Looking forward to your thoughts and any interest in this venture!
I'm exploring the potential of using the Pixel Processing Pipeline (PXP) on the Teensy 4.x microcontrollers for neural network computations. The core concept is to represent neural networks and their weights as images, allowing the PXP to process these 'images' for computations. The PXP, known for its efficient 2D graphics processing capabilities, could handle tasks like image blending, rotation, and color space conversion, potentially offloading significant work from the CPU.
Why PXP for Neural Networks?The PXP is designed for high-efficiency image processing, which includes operations like image blending and color space conversion. By representing neural network computations in a format compatible with these operations, we could leverage the PXP's power while keeping the CPU free for other tasks. This approach could open up new possibilities for neural network applications on the Teensy platform.
Current Status:I'm currently in the early stages, exploring the PXP's capabilities and figuring out how to map neural network operations to its functionality. This involves understanding the PXP library and experimenting with basic image processing tasks.
I'm reaching out to see if anyone in the community has worked with the PXP or has insights into manipulating image data for complex computations. Collaboration, advice, or any pointers you could offer would be incredibly valuable. I believe this project has the potential to add a fascinating dimension to what we can achieve with the Teensy 4.x series.
Looking forward to your thoughts and any interest in this venture!