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models:
name: deploy_rm_detection_output # 模型输出名称
platform: caffe # 原始模型使用的框架
prototxt_file_path: ./deploy_rm_detection_output.prototxt # caffe的prototxt文件
caffemodel_file_path: ./VGG_VOC0712_SSD_300x300_iter_120000.caffemodel # caffe的caffemode文件
quantize: true # 是否量化
dataset: ./dataset.txt # 量化dataset文件路径相对yml路径
configs:
quantized_dtype: asymmetric_quantized-8 # 量化类型
mean_values: [103.94, 116.78, 123.68] # rknn.config的mean_values参数
std_values: [1, 1, 1] # rknn.config的std_values参数
quant_img_RGB2BGR: true # 进行RGB2BGR转换
quantized_algorithm: normal # 量化算法
quantized_method: channel # 量化方法