|
| 1 | +from rknn.api import RKNN |
| 2 | + |
| 3 | +INPUT_MODEL = "yolov8x.onnx" |
| 4 | +WIDTH = 320 |
| 5 | +HEIGHT = 320 |
| 6 | +OUTPUT_MODEL_BASENAME = 'yolov8x' |
| 7 | +QUANTIZATION = False |
| 8 | +DATASET = './dataset_coco10.txt' |
| 9 | + |
| 10 | +# Config |
| 11 | +MEAN_VALUES = [[0, 0, 0]] |
| 12 | +STD_VALUES = [[255, 255, 255]] |
| 13 | +QUANT_IMG_RGB2BGR = True |
| 14 | +QUANTIZED_DTYPE = "asymmetric_quantized-8" |
| 15 | +QUANTIZED_ALGORITHM = "normal" |
| 16 | +QUANTIZED_METHOD = "channel" |
| 17 | +FLOAT_DTYPE = "float16" |
| 18 | +OPTIMIZATION_LEVEL = 2 |
| 19 | +TARGET_PLATFORM = "rk3588" |
| 20 | +CUSTOM_STRING = None |
| 21 | +REMOVE_WEIGHT = None |
| 22 | +COMPRESS_WEIGHT = False |
| 23 | +SINGLE_CORE_MODE = False |
| 24 | +MODEL_PRUNNING = False |
| 25 | +OP_TARGET = None |
| 26 | +DYNAMIC_INPUT = None |
| 27 | + |
| 28 | + |
| 29 | +OUTPUT_MODEL = OUTPUT_MODEL_BASENAME + '-' + str(WIDTH) + 'x' + str(HEIGHT) + ".rknn" |
| 30 | + |
| 31 | +rknn = RKNN() |
| 32 | +rknn.config(mean_values=MEAN_VALUES, |
| 33 | + std_values=STD_VALUES, |
| 34 | + quant_img_RGB2BGR=QUANT_IMG_RGB2BGR, |
| 35 | + quantized_dtype=QUANTIZED_DTYPE, |
| 36 | + quantized_algorithm=QUANTIZED_ALGORITHM, |
| 37 | + quantized_method=QUANTIZED_METHOD, |
| 38 | + float_dtype=FLOAT_DTYPE, |
| 39 | + optimization_level=OPTIMIZATION_LEVEL, |
| 40 | + target_platform=TARGET_PLATFORM, |
| 41 | + custom_string=CUSTOM_STRING, |
| 42 | + remove_weight=REMOVE_WEIGHT, |
| 43 | + compress_weight=COMPRESS_WEIGHT, |
| 44 | + single_core_mode=SINGLE_CORE_MODE, |
| 45 | + model_pruning=MODEL_PRUNNING, |
| 46 | + op_target=OP_TARGET, |
| 47 | + dynamic_input=DYNAMIC_INPUT) |
| 48 | + |
| 49 | +# if rknn.load_pytorch("./input/" + INPUT_MODEL, [[HEIGHT, WIDTH, 3]]) != 0: |
| 50 | +if rknn.load_onnx("./input/" + INPUT_MODEL) != 0: |
| 51 | + print('Error loading model.') |
| 52 | + exit() |
| 53 | + |
| 54 | +if rknn.build(do_quantization=QUANTIZATION, dataset=DATASET) != 0: |
| 55 | + print('Error building model.') |
| 56 | + exit() |
| 57 | + |
| 58 | +if rknn.export_rknn("./output/" + OUTPUT_MODEL) != 0: |
| 59 | + print('Error exporting rknn model.') |
| 60 | + exit() |
0 commit comments