默认值为1。print('--> hybrid_quantization_step1')# ret = rknn.hybrid_quantization_step1(dataset='./model1.txt', proposal=True)ret=rknn.hybrid_quantization_step1(dataset='./model2.txt',proposal=True,proposal_dataset_size=260)ifret!=0:print('hybrid_quantization_step1 failed!')exit(ret)pr...
TensorFlow Lite,ONNX或 Darknet模型 调用hybrid_quantization_step1接口生 成配置文件 ({model_name}.quantization.cfg), 模型结构文件({model_name}.json), 模型权重文件({model_name}.data) 调用release接口释放RKNN对象 结束 图 3-3-3-1 混合量化第一步接口调用流程 第二步,修改第一步生成的量化配置文件....
model = "./resnet18.pt", input_size_list = [[1, 3,224,224]] ) # 使用hybrid_quantization_step 接口进行混合量化第一步 rknn.hybrid_quantization_step1( dataset="dataset.txt", # 表示模型量化所需要的数据集 rknn_batch_size=-1, # 表示自动调整模型输入batch数量 proposal=False, # 设置为True...
print('--> hybrid_quantization_step1') ret = rknn.hybrid_quantization_step1(dataset='./dataset.txt') if ret != 0: print('hybrid_quantization_step1 failed!') exit(ret) print('done') # Tips print('Please modify ssd_mobilenet_v2.quantization.cfg!') print('===') print('Modify method...
{model_name}.quantization.c fg), model structure file({model_name}.json), model weight bias file({model_name}.data) Call release interface to release RKNN object End Figure 3 call process of hybrid quantization step 1 Step 2, Modify the quantization configuration file generated in the first...
注：该接口只能在 build 或 hybrid_quantization_step1 之后调用，并且原始模型应该为非量化的模型，否则...
Remember to change the variable to your setting To improve perfermance, you can change./config/yolov8x-seg-xxx-xxx.quantization.cfglayer type. Please followofficial documenthybrid quatization part and reference toexample programto modify your codes. ...
rknn_batch_size=-1) - Toolkit2: build(do_quantization=True, dataset='dataset.txt', rknn_batch_size=-1): ## rknn.direct_build - Toolkit1: direct_build(model_input, data_input, model_quantize=None, pre_compile=False) - Toolkit2: Not supported yet! ## rknn.hybrid_quantization_step1 -...
ret=rknn.build(do_quantization=True,dataset='./dataset.txt') 1. 2. dataset:量化校正数据的数据集。目前支持文本文件格式,用户可以把用于校正的图片(jpg 或 png 格式)或 npy 文件路径放到一个.txt 文件中。文本文件里每一行一条路径信息。 pre_compile:预编译开关,如果设置成 True,可以减小模型大小,及模型...
但是调用bulid_model后,再调用accuracy_analysis,就正常。请问这个是什么问题?看USER_MANUAL, accuracy_analysis可以在hybrid_quantization_step2之后调用啊。作者: bobby_jiang 时间: 2021-3-18 17:32 应该在step1之后调用,之前文档有点问题 欢迎光临 Toybrick (https://t.rock-chips.com/) Powered by Discuz! X...