文件名称:Car_100_5layers_English
介绍说明--下载内容来自于网络,使用问题请自行百度
车牌识别Python程序,使用五层的CNN网络,使用TensorFlow框架编程(car license plate recongition)
相关搜索: tensorflow
Python
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Car_100_5layers_English
Car_100_5layers_English\.idea
Car_100_5layers_English\.idea\Car_dect.iml
Car_100_5layers_English\.idea\misc.xml
Car_100_5layers_English\.idea\modules.xml
Car_100_5layers_English\.idea\workspace.xml
Car_100_5layers_English\12.py
Car_100_5layers_English\23.py
Car_100_5layers_English\common.py
Car_100_5layers_English\common.pyc
Car_100_5layers_English\label.txt
Car_100_5layers_English\label2.txt
Car_100_5layers_English\Log
Car_100_5layers_English\log2txt.py
Car_100_5layers_English\Net.py
Car_100_5layers_English\Net.pyc
Car_100_5layers_English\readtxt.py
Car_100_5layers_English\readtxt.pyc
Car_100_5layers_English\te
Car_100_5layers_English\te\train
Car_100_5layers_English\te\train\00000000_GO12ODQ_0.png
Car_100_5layers_English\te\train\00000001_QN61CUH_0.png
Car_100_5layers_English\te\train\00000002_FG57ZMB_0.png
Car_100_5layers_English\te\train\00000003_PL89MGL_0.png
Car_100_5layers_English\te\train\00000004_NJ23UVT_1.png
Car_100_5layers_English\te\train\00000005_DQ41MNH_1.png
Car_100_5layers_English\te\train\00000006_RI86UFN_1.png
Car_100_5layers_English\te\train\00000007_TR49LPA_0.png
Car_100_5layers_English\te\train\00000008_HI11DSF_1.png
Car_100_5layers_English\te\train\00000009_QS58LOO_0.png
Car_100_5layers_English\te\train\00000010_XR10BRM_0.png
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Car_100_5layers_English\te\train\00000014_CR00ONV_1.png
Car_100_5layers_English\te\train\00000015_QS04QTC_1.png
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Car_100_5layers_English\te\train\00000020_CV53FHM_1.png
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Car_100_5layers_English\te\train\00000028_MY78MKJ_1.png
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Car_100_5layers_English\te\train\00000048_RB28OTB_0.png
Car_100_5layers_English\te\train\00000049_JA71NIP_1.png
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Car_100_5layers_English\te\train\00000051_LA12XNR_0.png
Car_100_5layers_English\te\train\00000052_WG84RSA_0.png
Car_100_5layers_English\te\train\00000053_OA29CNR_0.png
Car_100_5layers_English\te\train\00000054_OW26AZS_0.png
Car_100_5layers_English\te\train\00000055_EW27JIB_0.png
Car_100_5layers_English\te\train\00000056_IT22KPR_0.png
Car_100_5layers_English\te\train\00000057_GU77QKF_1.png
Car_100_5layers_English\te\train\00000058_PI57POX_0.png
Car_100_5layers_English\te\train\00000059_WS02STN_0.png
Car_100_5layers_English\te\train\00000060_KC31BHI_1.png
Car_100_5layers_English\te\train\00000061_JC11XSO_1.png
Car_100_5layers_English\te\train\00000062_UW89ABV_1.png
Car_100_5layers_English\te\train\00000063_II32OFR_1.png
Car_100_5layers_English\te\train\00000064_ZY81WMN_0.png
Car_100_5layers_English\te\train\00000065_OR13NBS_0.png
Car_100_5layers_English\te\train\00000066_UJ57GIS_1.png
Car_100_5layers_English\te\train\00000067_QN40URD_1.png
Car_100_5layers_English\te\train\00000068_VT30RWD_1.png
Car_100_5layers_English\te\train\00000069_FE67GKR_1.png
Car_100_5layers_English\te\train\00000070_RY77RGG_0.png
Car_100_5layers_English\te\train\00000071_HL96BLX_0.png
Car_100_5layers_English\te\train\00000072_WD40ATM_1.png
Car_100_5layers_English\te\train\00000073_HU88ZOX_1.png
Car_100_5layers_English\te\train\00000074_GK37QAM_1.png
Car_100_5layers_English\te\train\00000075_DY60PAV_1.png
Car_100_5layers_English\te\train\00000076_IE71FWI_0.png
Car_100_5layers_English\te\train\00000077_SZ17NPA_0.png
Car_100_5layers_English\te\train\00000078_HE31AIG_0.png
Car_100_5layers_English\te\train\00000079_QX70AKQ_0.png
Car_100_5layers_English\.idea
Car_100_5layers_English\.idea\Car_dect.iml
Car_100_5layers_English\.idea\misc.xml
Car_100_5layers_English\.idea\modules.xml
Car_100_5layers_English\.idea\workspace.xml
Car_100_5layers_English\12.py
Car_100_5layers_English\23.py
Car_100_5layers_English\common.py
Car_100_5layers_English\common.pyc
Car_100_5layers_English\label.txt
Car_100_5layers_English\label2.txt
Car_100_5layers_English\Log
Car_100_5layers_English\log2txt.py
Car_100_5layers_English\Net.py
Car_100_5layers_English\Net.pyc
Car_100_5layers_English\readtxt.py
Car_100_5layers_English\readtxt.pyc
Car_100_5layers_English\te
Car_100_5layers_English\te\train
Car_100_5layers_English\te\train\00000000_GO12ODQ_0.png
Car_100_5layers_English\te\train\00000001_QN61CUH_0.png
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Car_100_5layers_English\te\train\00000004_NJ23UVT_1.png
Car_100_5layers_English\te\train\00000005_DQ41MNH_1.png
Car_100_5layers_English\te\train\00000006_RI86UFN_1.png
Car_100_5layers_English\te\train\00000007_TR49LPA_0.png
Car_100_5layers_English\te\train\00000008_HI11DSF_1.png
Car_100_5layers_English\te\train\00000009_QS58LOO_0.png
Car_100_5layers_English\te\train\00000010_XR10BRM_0.png
Car_100_5layers_English\te\train\00000011_GF38EQH_1.png
Car_100_5layers_English\te\train\00000012_AD65TUS_1.png
Car_100_5layers_English\te\train\00000013_YU08RHQ_0.png
Car_100_5layers_English\te\train\00000014_CR00ONV_1.png
Car_100_5layers_English\te\train\00000015_QS04QTC_1.png
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Car_100_5layers_English\te\train\00000042_KO32WWU_0.png
Car_100_5layers_English\te\train\00000043_JG04ELD_1.png
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Car_100_5layers_English\te\train\00000053_OA29CNR_0.png
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Car_100_5layers_English\te\train\00000078_HE31AIG_0.png
Car_100_5layers_English\te\train\00000079_QX70AKQ_0.png
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