RKNN Quantization in Practice: Choosing a Calibration Set and Controlling Accuracy Loss
Quantization compresses FP32 weights to INT8 with big speed and memory wins, but a calibration set mismatched to your scene collapses accuracy. The calibration set is the soul of quantization Calibrate from real cameras: 200-500 frames covering day/night, weather and angles beat generic datasets; Per-layer sensitivity: keep accuracy-critical head/tail layers in FP16 mixed quantization; Always […]