GitHub / aidanrhind / License_Plate_Detection_yolov4_KV260
Custom YoloV4 Darknet/Tensorflow model for license plate detection on the AMD-Xilinx Kria KV260 Vision-AI starter Kit. Utilize transfer learning to create your own custom object detecion model on a custom dataset, quantize and compile in Vitis-AI for easy deployment and evaluation on FPGA.
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PURL: pkg:github/aidanrhind/License_Plate_Detection_yolov4_KV260
Stars: 2
Forks: 0
Open issues: 0
License: None
Language: Shell
Size: 7.81 KB
Dependencies parsed at: Pending
Created at: almost 3 years ago
Updated at: over 1 year ago
Pushed at: almost 3 years ago
Last synced at: over 1 year ago
Topics: fpga-soc, kria-som, vitis-ai, xilinx