YOLO v4 Tiny with Tensil on Ultra96 FPGA Board
A blog about everything.
YOLO v4 Tiny with Tensil on Ultra96 FPGA Board launched on April 9, 2022 with 8 votes, #986 of 2,974 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 4 years on.
What it does
This tutorial will use Avnet Ultra96 V2 development board and Tensil open-source inference accelerator to show how to run YOLO v4 Tiny –the state-of-the-art ML model for object detection–on FPGA. The YOLO model contains some operations that Tensil does not support. These operations are in the final stage of processing and are not compute-intensive. We will use TensorFlow Lite (TF-Lite) to run them on the CPU to work around this. We will use the PYNQ framework to receive real-time video from a USB webcam and show detected objects on a screen connected to Display Port. This tutorial refers to the previous Ultra96 tutorial for step-by-step instructions for generating Tensil RTL and…from k155la3.blog
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