#通用规范汉字表 (2013)
官方参考：http://www.gov.cn/zwgk/2013-08/19/content_2469793.htm
收8105字，分为：
- 一级 3500字
- 二级 3000字
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northeastsquare
/ mobilenet_yolov3_lite_train.prototxt
Created
September 11, 2020 02:30
MobileNet-YOLO/models/yolov3/mobilenet_yolov3_lite_train.prototxt
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| name: "MobileNet-YOLO" | |
| layer { | |
| name: "data" | |
| type: "AnnotatedData" | |
| top: "data" | |
| top: "label" | |
| include { | |
| phase: TRAIN | |
| } | |
northeastsquare
/ CNN_convert_bin_and_print_featuremap.py
Last active
June 30, 2021 06:04
nnie 均值、scale, 打印各层特征。使用image_list；使用cfg文件，与nnie生成wk文件的cfg一样，不需要修改。https://github.com/hanson-young/nniefacelib, https://zhuanlan.zhihu.com/p/107548509
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| #from __future__ import print_function | |
| import sys | |
| sys.path.insert(0, 'D:\\hisi\\30\\HiSVP_PC_V1.1.3.0\\tools\\nnie\\windows\\ruyi_env_setup-2.0.38\\python35\\Lib\\site-packages\\caffe\\python') | |
| import caffe | |
| import pickle | |
| from datetime import datetime | |
| import numpy as np | |
| import struct | |
| import sys, getopt | |
| import cv2, os, re |
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| name: "MobileNet-v2" | |
| input: "data" | |
| input_dim: 1 | |
| input_dim: 3 | |
| input_dim: 224 | |
| input_dim: 224 | |
| layer { | |
| name: "conv_1_1" | |
| type: "Convolution" | |
| bottom: "data" |
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| 亍 | |
| 尢 | |
| 彳 | |
| 卬 | |
| 殳 | |
| 𠙶 | |
| 毌 | |
| 邘 | |
| 戋 | |
| 圢 |
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| 乂 | |
| 乜 | |
| 兀 | |
| 弋 | |
| 孑 | |
| 孓 | |
| 幺 | |
| 亓 | |
| 韦 | |
| 廿 |
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| name: "shufflenet" | |
| layer { | |
| name: "data" | |
| type: "Data" | |
| top: "data" | |
| top: "label" | |
| include { | |
| phase: TRAIN | |
| } | |
| data_param { |
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| name: "shufflenet" | |
| layer { | |
| name: "data" | |
| type: "Data" | |
| top: "data" | |
| top: "label" | |
| include { | |
| phase: TRAIN | |
| } | |
| data_param { |
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| name: "ResNet-18" | |
| layer { | |
| name: "data" | |
| type: "Data" | |
| top: "data" | |
| top: "label" | |
| include { | |
| phase: TRAIN | |
| } | |
| transform_param { |
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| name: "shufflenet" | |
| # transform_param { | |
| # scale: 0.017 | |
| # mirror: false | |
| # crop_size: 224 | |
| # mean_value: [103.94,116.78,123.68] | |
| # } | |
| input: "data" | |
| input_shape { | |
| dim: 1 |
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