YOLOv8 / yolov8_config.json
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initial the models of yolov8 using ax650&ax620e
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{
"model_type": "ONNX",
"npu_mode": "NPU1",
"quant": {
"input_configs": [
{
"tensor_name": "images",
"calibration_dataset": "./dataset/coco_1000.tar",
"calibration_size": 4,
"calibration_mean": [0, 0, 0],
"calibration_std": [255.0, 255.0, 255.0]
}
],
"calibration_method": "MinMax",
"precision_analysis": true,
"precision_analysis_method":"EndToEnd"
},
"input_processors": [
{
"tensor_name": "images",
"tensor_format": "BGR",
"src_format": "BGR",
"src_dtype": "U8",
"src_layout": "NHWC"
}
],
"output_processors": [
{
"tensor_name": "/model.22/Concat_output_0",
"dst_perm": [0, 2, 3, 1]
}, {
"tensor_name": "/model.22/Concat_1_output_0",
"dst_perm": [0, 2, 3, 1]
}, {
"tensor_name": "/model.22/Concat_2_output_0",
"dst_perm": [0, 2, 3, 1]
},
],
"compiler": {
"check": 0
}
}