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YOLOv5 on CPUs: Sparsifying to Originate GPU-Stage Efficiency
By Meiliyane Fatriati | | 0 Comments |
neuralmagic | 08/06/21 Prune and quantize YOLOv5 for a 10x increase in performance with 12x smaller model files. Neural Magic improves YOLOv5 model performance on CPUs by using state-of-the-art pruning and quantization techniques combined with the DeepSparse Engine. In this blog post, we’ll cover our general methodology and demonstrate how to: Leverage the Ultralytics YOLOv5 repository…