Giters

dnth / yolov5-deepsparse-blogpost

By the end of this post, you will learn how to: Train a SOTA YOLOv5 model on your own data. Sparsify the model using SparseML quantization aware training, sparse transfer learning, and one-shot quantization. Export the sparsified model and run it using the DeepSparse engine at insane speeds. P/S: The end result - YOLOv5 on CPU at 180+ FPS using on

Home Page:https://dicksonneoh.com/portfolio/supercharging_yolov5_180_fps_cpu/

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

dnth/yolov5-deepsparse-blogpost Stargazers