# 生成车牌 **Repository Path**: cwen7/car_card ## Basic Information - **Project Name**: 生成车牌 - **Description**: 用于tensorflow训练的生成车牌号图片 - **Primary Language**: Python - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 2 - **Forks**: 0 - **Created**: 2021-10-14 - **Last Updated**: 2023-09-14 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # 生成车牌图片 ## 介绍 用于生成车牌的脚本,可用于车牌识别机器训练。 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CHKth/i0Vi8ZEkmKuIu5WBWJtggmTPnUPaXIyD8Jrl2TbtWgN9zWpc3P95l1VDXEuWvMiGq85HS0RVnEd24CexutmyM9R7eGcDpTKfl2ENcW1b/AEO8am0WtXB9cHf4+dEX2Rh4FRqatd4AIepfA0+rMz6FmOtW0ycG33WB1pbuTlx4k71c1Ypc3Q7UA1y6yD6jNpWYZ0fbJDSr1aPnM6k1bYz0GRTnJjn4E6CjZzuFPDXu/CkuFmLII17HNzvM5PYBZRP1mO1Mbx5rsIJ/pUApeT9LRqI5i2rf6OrGptlkuD64Ov304ZrT6dLRGtC1Zx11e63n8K5lm8wunvFtQ1BLli0zeeWgo3A4vNjEN/I1z1uTxPj9k+lTAyjaa511FQBMYDT2WFxJHM1jwrMu9x9gXMxRtdUZZTOoNKzXLjMpkMxo3gzAt3l8DWIuXRb+wG0pN0Kd0qYIq4pZybnecnWuW0x6Ubge4jHvYHerqAsFub60vW64mek70L2TKwEaeNXVzfG7MrO1BR4CP+cQyO5imQHqXei2QgbmvfJ86CrdUk+tY3LiqfU179PnWKXVY+QP4Bdthv2BCwybYVBvW/2q99b/AGqhrqA+RavfW/2qlXUx5Gu8K7wrShzHie0OndPYqhpLCR8KFueoiewOhlTUoZEx2EqZAMdj9Xc73pX94tftivZ3FaPsmaZAepd6jMTljr59mSnQUHQypoq15AR6179PnR5dxWjypgp1Uwa5U9cTH5OLMYUeNZWmyFNChtNj40k/Q7ZVwSFOtNcm1eVgNOcBV7LC2LncURG1D2in4cQ1WibqQrSfbE/xq6ba5nlrH76ZDxJ52XdgEfOuE5jBnhpIoJy+iO/PZBn7jFcQHFwMg09oxBpLac2Il2N1qt27lktb0xfeDWPsl5j3OtxtrVmyPozg6dI1olzYLesVenkYaY6CjbtckzuqioXh7ZunujGkTG2745ajWseG4f102FZcu+7t7zOydRTDhw1y2pjC5oy0qC7cDXTtnoB40tkXruOE+9NEi7cfT6zzVl+S2AtFZ0rhvxNDKT3u9Vu2Jthr5UhT8a5dh7jzbMBm0FNcs8TehVkQ+lIebcF14VYeBVm0t67i07XakXrrfG5NO83CYN3VzBHhV8lLI9kJ/fVyy1mySIkZQKuj6PZ0jpzOn7q4lblq0UzlsrkRp8KslrNvNjG2X9KCPZtwVJ92B/OuFPItjMEmFriFsgSbrdZ8KSzZ4k57QyjT7/Gr36i/zrieXZDjP7ceFC99HXuYxzKm4mB8pn8mtbfumsLc6+J7OIx5nf8AqoD4U887une0tDHvcvT5UWMthAaOJNIoMYnrHPy/dV4Mmfs1OM771jy76IT3eWrr+6uG5SYhgx2jwoWZ6yJ7Pb44D7VXLluwLVtRIMatQHEWFKeF3H+NWEssotQWMbRXDEOyXGLN0idDXDPevMdTEqInbs4n/to8lVL+E1euO2d5kMtVjLRgghhuKYs4d12MV7+3/l/61bsZIUYE6LFdfBPcjYkLQ/ETGHdxXzoqvCtaXcmBFWNbjK1okpv5Vm/DMCzAY4GAP61ZTlslrna8wRS/RykcsziZriiG6XE4+RoI/CPdA8YFWfxEjfpxXWiF4J0B3gCnw4a4oFr6x2/fQJDK1yF08Eq6ly0L79Pw+NKwtWmLjJjElPu8qNhWHJMMfUjw/hVp1sG4gk6kfCmvW+GJiV0KgVaF1bkwcZZYHyq83J5pF06TSpdS8bf2XtBh8xV5VEKEX+dXbwvXEDuYxO9WF59xw+Uhj+UXI+uZNHJ7sHdczFcth0+QNDvBR9QGF+Ve0QGs3UkxG9e6/wDY0ty2pUj17RkoMa601ttm0qKPTHTjpppRiUaIyXelt4yq7TWLT9ximwnq3JM9hU+IilQbKIo222Ne6FC4i4kdgu65BcaZG2IikbxQYilnwOVLmJCma5iIFaI0rqzImYLmOxHMym3YzGepMK5csBESDrTRkctyxk0baLiD5b0tuMQvdx0IpUlwiiMQ2hrliUX9AxWcszbSzTTMyFixnevdf+xq4FBAuCCJoKogDakuGZSY/wCeE0otk5E+KHau837DUrpqC4XXSnLKTF3lgLV03LFyEPhGg+fbcVFnDc+vlWnCNuPrA0gHCNqdeoU73bDWwoncGujh70xpK0M+GvZeMCluMjBSdZ+r+CWbYamgw2In8FrjTCidKB8+wOndPYTS3F2YTr+X3uKuRA2ou6Y6+Hj2XLh4dm+qkEbVd/F7je0PiNKQmU61+7WsrNy7dHNlo0Iq+yjiTl3dd/j2E0h8W6jXFdLa3BGnwq5fGYI6VUGJFXmzunJDpc8KRb110Tkjusd/uq6L124Rl0yzbVC6oywKtE749iNzGXHwHj2XdSOknQ1w1vmsnN3cmYEVbS1xDXUfQhjMVedr90Ys2MNQ4vnvzIBj6vypk5rrb5YJxNcXw7OXCpkpO9WFa8UQrsneNXrGV/DCRn3qtsrkG4YljONWza4prstiysZpvhS3RfuBwkqAdPlXDRcZA9slsavcOeIu8tIO+vzplFw5pfwDH41buC9ccFgrhj+XSA2J86/vdz9lf6VdjiXHtW8BVm2Xa5NwGSNoriE5mCm7rpvtWIvARbH+H60MjJ8+xrDd61/DwriWPD3CzDoJtHypD9FfDDX2R3r6OttwzHHVSNzXsbWXssZOgFc8glGEXIXusPSs3HtH0UfwpLf2RHYmGOH157HT7QirUsgu2u4RtQN1raqPqp41cQkSxY/Ovo8rnjHpTG0VkWho2xq+XZTeuiPQUl20UyCYENTXrjqckjTwrksyjAzbYUub2lUb4azVwHDCOnzocPzLeEQW8RVpljBExq9d0hwIq4MhL38gR4a0nPa3ghno+sfzFygT5/hAkCRt/ZZQMvP+yhgD8f8AlB7xfnUismIA8z2akV3hW4rGRPlRggxofzUk7VkjBh5in+FOGuOQ1le8S2prucNp0e5aZpAC5NsRCErrRVbV+f0r0j+Ne64n/P8A9afK1zotrAInzps7fDcyfdm3r91cKTat23IbIIK4jiLJHT7OT4Cltq3DrOpYXzT93oMdDSKaFZcTHUOwJizudcUFPchxy+8pGooZLcVDs5XQ1yylxGiRmImuaoMa71aNnJLb6s3iBSWhdd1cEkOZinLFwI3TehbIcsVkADem3Qp3lbQis8LvL8Hx0NA+f5itaJgNRTPKTM0/6prS1djloPLb41jhe72WWQ323riMldZk9ZBoIvAqHgdUrVrHghbi4OoRV7VxFtT0bneurASf8a0wP7VcOFZmVg27T4VfRIA5mMYZfVFezALP0kPrr6/0rLIsx73ofKjgwMGDHYvtWs3cdH8D6Vxdt3W5gPeL41wo/wCKtcN8Gp1ZwGUsCPGuH2zYQoJosb6XL77kH+FX8WBgQYq3mQJtQCa4g2TIFnEx50YZdUgLSfAfmQMi2I+qDoaygY4YYxQXJ+WGnAnTtN3nXE0joMV/eeI/bpLnOuNjOjmauS7Q7ZdJil6zy1MqgAFM6iC29HFQJ1MdkOqsPUVhguH2Y0oSoMaiaDQJGxrPlrn9qNaANpCBtK7VklpFPmFo2rItqr980HbEpy8YNFLcJ5QNqKuLC5d64q9RqP8AoB//xAAtEAEAAgICAQQABQQDAQEAAAABABEhMUFRYRBxgZGhscHR8CBQYPEwQOFwgP/aAAgBAQABPyH/ACJRY0F3EwcGvevU5VrFVDDAZDwiFaBSsRTLyjVRQLdRCV1KVNEIFgfkiqZQFcTKkav1c4NqNAaveoJQcD1KsXtXPEeBGf6LA7VpLPT65641OHA2qn+sTlRtCsBtRYPpgZRdseoAErhVu/TlsgWJXi5ZzVmlGBQsLiHB1EiGg1bX/CehFs02Ye0QQUt0dyjA6vb6VWQ1UXP9FhCgG6n0p8Or2ym24LfMMWnQXbLkQjxyR8N7CMYSp3RilJeh/sNplBGRypjaQMu064ib7I1+oJjsOrBitnjw7Yl6NluilFGoi6ZUuW30SyUEngUhZA1Yc1UBTbAsU1UJ0IqjCAvZemed6lQsLp4mXGJiZXXxliXmYBnxIpcNI9zWvaV/C90s/kuao4pWXXhLEcJ4D7u5e2cdYNyoI7LfpBliyi4txTLqoNIkj5J7xPQ4Rrh76tuU7fbSfpGrOICG66mQbOG8+D6ICZ2pAXt2yhN3C+/aXSwFVa8wTHqGgp4mrXC++NzH1xFj3lEarNYYTdsAqjWXmCNVmzXolELTVUecOpl/LhgcPEpshVQX2I8/codX5uEs0JsVOoMF1saP/IAjlCS2n39UcqfdJXhThFcr0ij3iouYSAJXNyW/tMbISGDKXeICxEBLYbSGF7rHPjqAKmw4fhCME8gexOeYQvkhqzSkLU5jAIm9D5qNW1ssu8dQdwYQSy96mQpW0BKZwS4q49WU0O+MwHt2hMqj9YI7Vd0D1XobzAvwcxsw0pKObgf9jnl9wZiRbcej4jZhpSUc3ArFgw1qJOMhwx5Z90c8uFwRRFNa4+UwtEFqjtYqAEGt12D/ANS2k6UfRE2IaJY2cvMMQhuTh5hDvYoMmRiLW07eN+oe9izIBLoBdiXbBT8oe0qehif6zGp3vZyZ3LqmUDTwxBYaBemj5lUIZ8YPLCkZlW16jsTYPlqZRDtu9q8QCqrNyv4kXi+LYGueHg3EEyvyDIO467ct3TMbAOo8+78MOkTSNkF2tA685drxBuJK6ueH5ygWJ2ninJAY59ce16m7P6g35GCJvH1zz4gYlrOJyC1+2jolenQPg4ZdZ5+z6900QoCiGqaqFQlRuQ4XG5Y+w3MKF/OZcjXS9nDiUASMkLfjEr8V68Mu6tbLeTfU1otzDvzAsOEkcxjrWI2QvUFjTZs/8iCOUYKaIzLWYHXoHg63MR4CEadaZjCBa1KtObpiLH0LunbNUcUfIsFRS1X0e5HtB4A4EDJ7UPAe0KNPUK2KNydRYOf2soiLRfLGWRjcDO+WXOF2wUucKyGrV3HAoNhY4oHcdzB1RpwhNLCFceh6WMdjDVWBxfEmeb/wIeljHYw1VgcXxP6Bc7L4MEryTAL4EpRcNAlff/UUbfxZ/NY14dNnObh0YFNYnOAdCu77gQqKQbna+4pMojRUTlioUD7eitmhU4q7l0OcpqBFESfFfwg4bjFdkuDEUGrn8n7kVh25HZNO4S9jFjDaXj3dxJUNfhYldw8QGAR2M7yUDiYVtopDjfKCvpTvLJk+Z0QC1s/kn6wcPaMv4y1S8R9LAs1pVEbUAveIRD8kPeOEHeb+MSgLeYPuRVIpdmUYAdH78DuwIiOPziDKzSag+J/L+7DxFrbPzf0qNcLOD1HXAjUsToC/EQ/vBpLLdfuMxkhs7GAK5Qtr6Ux8zgPxGoK84ahd7YdIZlN34iFXreM+pdb3CFiFFFtx2y/JYC8hOvXmP7DTOejW4AkZT3Z62CNpK8+0JVYWS+0p0W8em6KgA+EsAlCh28REpMobNBXpH6Tj7iGfwIuU1cj7FXPPjg/pBhu7/b9EgC7OvQlQScdB5h38De38P8MALcVHK+8xEnDlhywlF3wkqZkdo+91KsUJix8pf1lAUX59pRt3svbmb4VCXGcxQ11WeoJSSzu9IW7R3190s2aTsV7iPQcGMO2O53qjCvDKNyU6R5ytDCCkrrNvyh4IFDJXi/E7Kr1/jAFcruBxz1K3xKza6/eYZFAbGcmJtV6oK+o2Urf/AAqJ+jrgWap2mtZqLd27TbeJVtMWMwrBREZT0BfU43SDdfEaufdnDxAtSmUOZmnF/nEI0rDO9rmHAdMrKvUU5WNejnWpZsrFPHH5TgBaYuiYTjQ7p1uFFlWH8dcMlSh38E6uxN/Y6viB9K0PtTErgb3DxKxzJb9+YmVv+YsYXv8Agr3H+Ff6LP8AVYNneOscmIUjzLytKxxChy0E3cI1da9FzwS7e4gEdM45zPUJCClQCmQ0xMk+BVzh2OjNRRf79qZuU970XLpa3fcrAUW7qfloM/8A5wx3d1O6le9Bq0wMpa0C64NZmAqL2kO/mVFlDMc7uZj5JAa5jJKQblvxuNJeUuPSZxEVaSWKtwzKVjeFZ/AIttYEZtjWeJ82n6xNkta109eluIlJYlqgckHHrmIpWkwX5mzyPa+4qlsHpnnXiGSNQL+DMBNuW1jvPEQ0URsJZ6rTQm7tAUI+7SC0cPzF+5hVJZkuSImW5tlPU1N4FSH4C7VEQxsGrZz9QKcjYw408zBotC5x6+Kudl/EdgHz1cv1BV5HPv8AKUonMt9xf0i13N1nUuZ8OJMTFHP4B1F9qOQ/yoWxuaA8g0Ygas4LXbBaUEYqJC1FoFwnJXYbyX0ymu7c3L4TGIYpwcGX1MkC0XWes+0tsbupqHHqfVDEJRsNmcRhW7jmfl6fwR2Y7SiBmnkNn1AWmyD+CDhLpIny4wfimj44L7piCZgfCNWhKF019zJfYXaVnnZ/374tljoewAe8JgAum1+JxZW4L8l2FYd8j4lbeJfjY+oDe7j0NfJgu/xdHmpmUpY6YWRYXXw9tSlzDF339y6ZbbAVy7lk1KYueHBCAreVl9LOgjDb6OhUkQVrlj2C/c9Lv7L2jqIxgJXganDkBNWz3dQAAaIC4C20rIcwuFFmmO2zdAdG/ZBnKvnPhLiyvwOmPVaDxfjBAMBuiXiWaqSwvx4l96cNYtiA4Ethlnytz7EoeDT8P6K+7WqK21KoWtRFPjOaiHvrXnFcRGGjqGSYUy9fwdQyqCgmaUv5i/TErjjJ2G19oigNgHUBdzSXOoLaexMqDY9p+4EcQThpKo1LZp4frAg3AiPlnCnXzliCqODWCZuyTV+C9QWzUWvTWjEIYALNJUpzBq7XcJ/yWG1LBpFLCt8I9HATOzmHXmG+IUwEbeE4NTBZwobiblz/AGZfM5W+5lbVkweP7EbZXZg/hA+FVoW3AttweZaV5Yu+0Sg6qNrT6qUwgBX6DUtapb7nvAvjiH1iYhDde6MzMBsWjPpQ3TuV4PHra3S29Xh6WaVjcPd1B3bhPyQCy7w9w1EUmaZMxzMCcyxEIwWq4yiv0b7fv/yNnIFl3d1DOOWWZH1Vagp0wFXAeYXbEZDju/MNc9N72OoFKCN86a0iWclRm+8eloRWVui8H16BarM4/wAOYquyOKOhxGzXAur50xJ2uHEe7qJHl5X6o4UN4nyNTIBzq1W4/diZE/aNXS7Tre/qc1ViJ4s1+0sVWyXT+We6VxX1cKJULFVvr0tbKs2FObNSqSGiniKMbGcHYGXjP3FK46qBERQPHWSNpO39X3UAjUVwmCyVZMl7hcb2w3D7rWD84UXTXh5JSOAaGHD4gLvQPB6YAYdQUnaYhWaiF/8A2IBVBnHLqYMgIrV6ie6+TB6IRBVAbTDDbqj0ubdex/Qo9Hag2CcwzwlTmJAEwiYM0fVicn2AZ/p8QD9kWp/tZ/tYAWhPEBQbo/nXotFsQ68o1XoQLA/PaKplAVwTU4OgaqLKgrVyel9YL1yemEQczgwvc/gH6y+7NTSaUBStXqC4jRwvp6M76I3ik3c4OAaq4gAqR09LsdpXupdcpPTMfY1uNf24A5LVxKNbashQIKLqPCUUNyhB7a/KOIFaBL2LTA1pyOovsYzFZxCv2sBd5fBXgQoNaS0byfEGXzocXpaIL4VqhwQRmprwPVeiNwPYvsmZDLUPjbFBFiAA6M7jsRNC6PfJ7xJ1k8JDb5bmFF3OVpkpmA8GajWagRhzIzXZKK9cP7fBM1qFXa8yuxw2FfEZXxFBpKdDrOopYmF7QXfsw8s8DC9P5uA77imKkKmY4pSGbkWXpms7usS0bSaOBlx5llq3VReFwRzBcWF/FxgJPLI1MQB7O2OI8Gwqi4vxREYQDEs2ggTnBGDZai4Hhjc0ZLEg53XiVgzsH7jlc5bpAYOfzQVAvXhBSrhT7MNCul3LwruIF4luY4WjE/GLjbqWu7/QhoFtzvcAu7Vw4eIj1dfPu7qV026fnf20MLGmMLArVtfS+F9P07i4rkpGu4Q72GDWYTw+RyLjqPMja1Vdq8TAxkwWuNgEJ9k5QchWZ0OImljSuPRqTcvpcVJXBv8AoRIl1W+Or5mnsF4T92OGigVZdt6NfcehK1DypZzKdEGka/LLJ2BomQVw/bR0SlrYfWHhm46TWy+ZbTd5QosgWrK5tvcresovq2UXc9zDO6lNjNB08MQXtsH4D5gceLuPjuA0iCEOb7l/j5LEUNiOPJXvAwRKSmvLKuFu/Q+8rmXMd/THUKJTzzXDxFrJS2COfr8Y6lh9Gl1CwoFkeSWLULVUa/elRZaAC5yGZQqAE71uVJVTZ2aRVV2VFaznEKHXH7KELHUg0ZiodVIAYvUS3ChOjwf3Fp28t3VfpFfhoX0hBFeQfGI2dPlpTeYoVDp5PZmF5SXACfxfuQShpsjfv6hAlUpdMswqtW5TuKrMpjQ4XTK6lwbBZoBxKalCMs3dy+BLvMvwmALK0E/foVmplUV9QC94lyvPU/jso/pMOG/RWzYU4q7l0GcpqAFET001+0DF8Yrsh4xDOL8waGLDWJauSIt7X6N9kYayV6KtaxXWf3ngCBfaCiXbU+ZTj1K6XzuFV5SVjwzd7TQPMH1jWj9SgqWjmHzEnFSv9J/F+5KYXc/5zKdzoRzOGaz/APcAZaC2XTh3o8nWZ/Hv0lJ3FJ2a5iX2guXrbDS2TTQxfabPS0Q42YeiE0jV0r8MAwMC2yvfHzO00dPpjNuMoV45mHqujV/cCtCanyf6WOo1PEtfpC/6RsVwbQQdC5ojhLpU9Cc0FwJEqDb+/wCcHxJ4kUHT0DyGymfN5YX+A8bme8i1lxRhRmsI5TB4lUnvLIFByzzDSeCC5UvIqdq3GncvPI6QQHamx26ds2qVyYPiXuYAG7QJFe25/wCyx86mq8xVroF9segnE1Wx7/SiYWocSvCUbpUuupbpW2lwjFmpzVVPPcVvTomqXqACEJQ3brqG6jk6PC8zYpm++uKNTPShmgb4d1AU3xjNyEK26y8PJ1PxecdKISsDyiQJ6XtqUEEPn45VAKYHMpTfcuujGG+Tr++swQwNnpgxaYNZ296l8M6AplweIUqwUz18iMMOSCqtirhVTmaVcSxHmZsWpVZd19Qh52YcOsZlkUGHunj3juI5BAT9J4tLe088xweV4PI8IiYk0aVdJztSvTa8ztuvHpmWrbdWQKb9pRVZ95xpSF+a6lXyytdIZOAvbG/vNux61NAkawzRGXy29V2JMnLoUtfHiUz47tbG8ktCa6FeOdRyRaVvhm50KWNXId+8emn1d8ftGS0kG8R4ALtAqONSkDYau9f4L4S1hmv6kgthNf8AFQ84U0zX/FUi3dC8/wDx9QLWgn+twAII6SKBvaUeiqhPln+1gqhnwykK6WWzUcF4wOn/ABQGQBlWebCtkSoaR0ntLmxu0jz4hAOQZaq9VcuzYpUGTNfjLZ/VU7OpWBHzM1ekuK3yfzhHy2rviA2eZoKPI0TPu6No2nusuqMi9bt7YxE5uywO/mGu2dS65PHpW5FLDXcEf1ASf2wDFzLZFQwviJweLbEUXgUdQmR54ivNwtrySj7TJpdp8PeDY6owMnifoWCDoX/grKgVZxDAncRX4T+c6gx2OAapcOEs0jzvH2K/WLx4ZkVPE7iKJirl7vS26PiaFsprJhLQpXYL9ou2eK4o0sxYmBY60B37ywZaTDgswPhKtMNgO6nE70MLp9CXL9VF9t+0JgkAUW494TExP+L6JY+qO1vEIi2MA916mls0vwOpzoYLp6iTmUObgcnTZja6+oDKqI5v28T+C6/wip84oe7FDgVwquYfzCcNHt678BrwL/efx/8AmHiXHYddRqhsjoBV/EPgTqD8bmAy7nM362BVvfp4D1dK6/YH4IULpgXT3FAbcGSL3r4P4oUuaAPwhYN0IYkhbQp9ytsrFlua271OJK4VL2hYlg1T+kAA0f8A4B//2gAMAwEAAgADAAAAEPOPMONMOMNMMOONMMMPNNPPPPOPOMOPPPPPPPPPPPPPPPPPPPHuA/htz5yK5BNsP/E32JNKP/mJ69JINJXDDz7Gn/PPPPPPPPEHKPONIDDLLHPLLLLLHHPPPPDLLLLDDLHPPPPPPPPPPPPPPPHqB88ByyOOa1PPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPDLHHHPHHLHPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPMJ9YwPP3HchJa+ACZnPyFvFP81/rOkL20fPPPPPPPPPPPPPPPLLLDLHPLPDLjDHPDLPLDHLPPLPHPDLLPPPPPPPPPPPPPPPPPPPNPPPMPMOMOOOPNNNPPNPNONPPPPPPPPPPPPPPPPPPPPPPGLn0//wC9wa8BgQDvfRDjXXTdbBbzzzzzzzzzzzzzzzzzzzzzzywwxzywyzzyyxzxxxzyyxwwwxzzzzzzzzzzzzzzzzzzzzzzzzjjzTDDzTzzTzzjTTzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzwyjwnpz2Xvziycw31lVDzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzxzzzzzzzxzzzzxzzzzzzzzzzzzzzzzzzzzzzzzzzzzzziNPC4DvzjzjTjTzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzxy9U+qSdSctp2o/zzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzz/xAAsEQABAgQEBQQDAQEAAAAAAAABABEhMUHwEFFhwXGBkbHRIFCh4UBg8TBw/9oACAEDAQE/EMdPbjInh3Rl12RgTz+Ua3RW6oSvMKQI02KEikISPLyqoyPLuFAFB2L6IzRpz2V/KEjeaPjZZ80bXVGucd/pVhleyCNLyQIrd3NCAL3bqRWfA9kYDrt3kjW6go147v8AWBlG9VMgKsFV1U3bof5FarRaYUxkFRaezGRuqMuuylatlMhFDSvhVfN7+U7Xz7IQZAwRERw3P/BzgyBC19VRCUUZjhucM+Gyq11VUEWyb5bygYDwWfNZ8+ykAoGbQd2wzR+/kqFZIPxIRPJGpurXwweBRvofCESODfwng908owHXZNEDVkC7uHdHLj+EIF1Rsav6autPQ3q1wo3qq6oyq/6AUUBhuTLYjXl2QkgjprshC9D9dVKCqjTnsqIVQEnBUe5DZEtG5kzfOyZEsb0PlBAEK3NGqmPE915HZGf5OvrEPS8XTeir46fl64aXcMdPQIqeIjL2IqiM+bdGpy8/agZ0EGKExf8AJIAiHDsL5LLntgbA6AgGnyhExzPdTR02QgBy2dNJbqDh5fxB2L6bfamI49y36eBK8vKyxEU+GmIiW9lMVS9PCBZ2SAgyN9EL6IzweIKaAGg7ujN+PyoC5UB6fDeEAzDL6/Uf/8QAKxEAAQIEBAUEAwEAAAAAAAAAAQARITFB8BBhgcFRcaGx0SBAkeEwUGDx/9oACAECAQE/EMaP+umbJCJbluhFrkEKXVUC5Kb3RHi+Y7gqpGd8fpF3F5KYQmNexQcg3lsizhs91RCD6briCjEHm/hDzuhTTZWXRMYcIdx9uotG7iiqtN7+Uxpp5vZTIa4ISQpzHdCJ+N+yFLoQqOWzfaopoXkoAjdumgxVGVALsXFH8QVGWaHFC71QmqYVwHFCGGf5xDEQbL2OxCfxupsuHlA1QgLyKkY08lUY0t2QD6/4pujEtRAu/PYfqskY/wA4IvgYhGd3kuU7v/EZwul6ISPPYYTDXdZ5+FRFEefR/CMw59EItohMadwiiITSZns+HBfToFGQndlFuRU1QEQLo980CshcUIm+I8qQJ4Pt5TRa6+EIluXV08CcnRDM59ipH5eyy9FGwEC+LQZPVCCEJfgywq/qo2GXvpfohV0C3V8EIi7i/hbkPPdGmu6KGdzXPO+nRGMVRCD6b4GiJn59yqtczuUA8EMX03dGSF9QgYk0Bp0ghS+KkHIdkJ6HuqXx9zRvWY+mjY0bBqY5qXuqtgI3y845+iSIbAloown+iFVV0LNFA2fgHZOYsiQHC4g7IiRX/Os04nz72NWVTpuqoHJExHPooOn2iHhz7lRE67tsnmz6JjFpw3UH+e5ZUHMP8B/495tc/CNcrvngC95owvRAOMM8TJ/0og6AYvdfKZ2cfPgBPF83QgL4rxv4Qld2MGiCfueoZU+OiiDIx+XV/KdyTx+/5H//xAAtEAEBAAICAgEDAgcAAwEBAAABEQAhMUFRYXEQgZGh8CBQYLHB0fEwQHCA4f/aAAgBAQABPxD+opFQKF8w8uOuAwwE2HvX1QINaGUrNHvj3gkSANILfxmlmGnBbHZrFqkqVHw7xEgAqvRhfnrFFnDiiKwNrj8xEFDQWycpjnIlTogq8HPeDVgVQr1+n1YyfOUVKAAbecY7quB5Lwf5zfAZCL8maEjddfC5+1f85wdiBPhPp2DzbvteOc3xwjivVc/b3+c1hx0wO4OPJFyCGrn/ACX/AFlKDTVynPzrP+J/3n/E/wC8EBVYyOZ+T6MGAMujDixkk3iNY4IQ0jHhxoNaBB3hkgva/wBPrE0LAJlQNHtP/C3yLkdBXHEVRSKimsB6vR3HM85HXoUqizXxzx9DGTdfZVc/av8AnGhLEKPuP0RdPKdCzXHHeG2231VA/OaQFsMrDzoxZDZURom84b3iO9i4mGFDp+uD2LgK/wAhHGYFvcVCeB9Z5s0EXOUg1rnN/wDKCiDvbeaZfLCnBt/fCqsQ2gVti9fbEWXczWQAQ8J25rWhAEdPEIF3gJCCpkaANRyOo8oD0ZNTtcrm8iDACMCPGAB1tI92PDnNJDZyI24PV9YJLXCEfmBu/OdXRsJOg8M4wBrjP5eVYbKHGucSPohhfuXtjrRSRGhO5dPZjcA6AW4VgCwNSTNr0cYgirs7/GOT6d68uBmbe2lYoxKeWG+9AfDHx+MatictyIUc/VB7g1kl3ecmSJlLEHo8YKUl0gOWFYS5craGwTjvBKOexUGl815+3jEafnydoHMu+7s5xPBYMgCrJwC4upFcB2j166JgASgzkXgdGAaq9yk0HCcffJ3HwG28rr47xKXRRAYu0F1J5zcJEXtRXWxt0Ex8ZUAtIr6OcOf0BLCLArWb04NaBAxYNK7HHrKOCchmD5wrrAyYNlUOLzgxaKDTsPK7uSY6Oxqt86FwztRAA0FdE5+s3+Rw3XVE/THJptJRZKgv3Qw48VrA2Jk075HK00+RAgHgnjHuQ2C1AGhO+cjlOU7SG+ji4CFbBaZxbvJwym1rinC4XSrmMbs1vezBuoVpE7DZ1TC4r6CQhv4cIwoRBN9B5FwitQgCOyknrvLghALiOvbzcFuId4wSvHWbgEkDYAjejk6MOKJ6IAYeDDatTgXH7O/pOT9CbuCDuWYTB5UDxrsm1wrbLxeANRthifcAAj7GiS+XnCYPKgeNdk2uFLRC1XTO8cu6sKcHYkEtwR0CqLGmxHnBJkc06FWP9mA0FaCzQIL451gNL2SpuOQZ/wCoqQgP1OJciYNFZeS+l4x/DFZEUBWrgS3Um5Kk4neAfqwus3gVNvjGZKopw7eLDreIfqlKqFr61i8x0DVCl7LXEalJ5S81Uec15Wuwurpri87xKhUDIttN6nGSs8aOwR4JgAgSHfsRFf8AhjVulY2nbc/tlj6rYXsH+cPRNKb4NOtXeFXeJFBjpaNYpItVHYQ1OZ24xMarVQNmQ82qRwdz8ekkequPp4YU4AdJu9OG5+jIekx8Tp9+l7P33QAEUB9Z3RNajKB5eWvGGmMxvRBH2LhX2bALta3vNv8AfJw9jRtz/X++KkLalde1j9g+/OWg7I0XCRHTYT7cZKhFngvTgduCiud/4OMiVpRSy1QydWn+UHfcvLFq14m3jKIekY5Gp8OMDbrUMEnESpj0ZWDBY7OG+7vBbNAUGrW8J71hbO+RrEZ4THMQxCQ0uA/TBQKVe3zMYPGVhmZA2YVfGdkQFByDkdTHpGl0NEnnRmCd6AAGinKvGD7oKgAqvg+gJZ49OO+vOJaeWekqWHbNvnCDk6lNnaXjSmJc1Gra06eC+cAwkPEp6FNB3ckkUHTtl8ik8Ye1AfTD5guOLhAoGg7dvtnfAB7PScj6cOmRj8l3kcLYKCHoy5jVKUNB5cL6F8SIOCSa94DZk/IxQQanOdI+mDUiQnPeXDZCeAFV4d84+UV6QgQXZNvtcMUbfiL3x0/TWXFkvwf5+2BZIKQ3o4Hl7wcyEeksD8rmsuLJfg/z9sCyQUhvRwPL3/BDtsPDQ+28kQ7eB4Rmnb+1ULRbYssFWO//AFESKtW/7Z/0/wDbNBXUooBDvYwpm4oWVRJpNmD8KFb4UN/LvEbITHMWbawvYQDC9GrvnFw8BRJEy/RYSRRsFSW085vTrbIk04D4KOjmp9mAyl7DZS+sOHkagul8b6+iSvcQ+fCqfkx/EmEAQb3wdTHTBHT7k5PFd4jNwjZnJyM7M1BMHK+Ve1d4ENoCieEza9hcQngdH2wq3W2Fl4d8HODDSBEOCr9ONehJ8Q2fZxhkcSwt5cUbgVvYItYQV56zUhEn58DF+ChyBIz84oirYoELO9YahStN/Uc4ER4hX73+mCS8j0GGk+2BBYi1qo9PxgEDeBgzMrtXCR0/qwi0hRHBWMPGKt19GMWJZUX5T/CrA1yQWqEtYHP1eBHrlEmsWxNbqghcJabiRpB8PWPkbRr5TbhspjiguxNmEpU+RxK7h0fTXGEQ0do0vvGhoQqEaIjTDt8myPMFmKnYmwkizziFCwovIGH4zcU+5/XNToUFDyu3HuHTJ14F1zzhW11co9M5PTkLYXz/ACC09gpUFeOAO3Bwy3SbRPx9X1S0OIdRsCXv1kaQJJR2YpAHH1L2tDf3+h0BPVFBFQed5aOxzsHJJpu+sICVGh5QXBSKqcj45IyVdIpPwmVlRngt7Q3yGb7AEtVgV88GJqAQn3XX6MF8MSGIN5OZ9N7hUEbNrqvGsTCLPQd5vRX9GOTxCmVKB5foYqyQRXbwbnXjKHrJPI8aJjJLgIYwQHwMgKHChhmtlfNwMzAHMAVTtjnWb2qO+DIWQFPthrO2Cjd56mKGAY0IAFbMKCOhQLeqHmYnNRpTp5O8VuOGJRb0tfGMRbiEqIDwXRjHrvMLR85ymMckOEOzm+r198j+0yONfYe3rEecDBk0aNkcd5CA7PSlT8Z9s0cmRrqE0ZHJgW6hQgc6OFgocDZOJTZ3ebzgnH/SviDn/GR/RWW9Fvf9FQIammHXOSLLRefdY75mFZ3WUpoPlD742Sa1BK3CG8foZINYfIelMRXccflC/wBmAPa6LoJPLilC+TJK41rVJPPTE5MOYjzLHRrNyl4E7Eb2mBCYcYPNqD7frga+6uRk/QH74OSBghJrKv41dCWcxu95HQkizY/ZvGBqx0ToHf6YiHFou9eW4fLC6yL+/wDKftjdliOkcBQh6wdZxyBOF0dcm8dXmMn7CTECHpwn5D+ilmqL+7jP21/jAxGBgbETg8mIJMNQPImSUwDMBxDrLTdj0d4ytkU2Qmx8h9NQxXouNTug4ZVCJ6wEXgGiR1veTpcDSYvMwmmkmuNY8uzZGhE2b6MuNPLyFl8XK89UCA1qNLVdneB6JAscff0W5FIpP1Zptld4Ia4NeMeVwb0jY6+X/wDOHuXxNCy9cYNCsogU9GONSu572PMGr3jphHyESQcoMJ7epAqPgWfbAXhaFrBdtCE9Yx3U3NNLYRY/6x90by7eBXNe8Xq25Gk0Guyax5VA5pJTh0PlccKOsPWiNeBb4w9gEeS+JLx1hCFePBypw+voAgUJEVhvsxHRdtTWeN36xctZnCy+g5Z1fSAF+GhdzJTeGkOFvaWDWUfCWNRBRFG8dY4bGxuSyqbHPFwrpJnQWUcqLVbc+XR8uBLujr7R1kXUBtQX1yHjP1HVQQNMMLCA1fFXHscTaPFQ8+HjP1a5koOsa2ZB9RXisPvnlvZ6G27o14+2ad5igEaN1reBWgjgIW15FTXx9f8AdJDrhJhMhIsGAnEDL1MLgXeqVup+HqY/zEpJZ6UO5k7TzRGlxQGpzhd1hkKbS3u7OsqVCkbQNO+37ZBzZMOcqV2wf/zCccGGaonRo62eLiWfky5vsdWokDWSnhGCEAnB0bXKLqhBmEhTZpeMFx56KH2rkZzgzsZkbmg+u8qu4bgLTyUFZzFNYOwnN9e46xtxqKUgWruc4OJqunyDlfGE+QYeuNcRuJFiuF/cLnDWgy+7rKdmoBZyv84CHkwDV7XGh1A1fSuDIICuE87TFbBGQ9B198AC2QC02bpAqc76wicXSa/tUh8XFaW55Ui11LYAOv8A3x0QlZG730yx6xEeaRmcIW7vbjKcJPrA2vrF7AFQw4OMAmC31wAtDhAm7iAophRe+RV+ZhPgCOtxvYGvA47+zDuMnqpfJkDWWq0OTFLqLUKcvor4RMbXhTRnaPauGXukwlawBbS8OLrDcTAQW/mGucDWCiJ6H99h4HQoV5X39JS5Ia1sA44u8udRmaFiQQ3vFZVKE0btnPLrOGo4S7Xp2PpcBhwsCze+Qj1XDLAIB0YBFvvBATucz1hVbPUJE72mIru6LKo6qgd5CEpCyTki+tYgwpACsXojPWBVfEWJalIlG83BKZQN0h1tu8OTDYq9gNlNz3iZsxG3sTkxR7sFHTnLtEFaDfnCnBuxijHXX8AEhHZkoUJYOshM75J0B7Gh6xO8DYTxcuHIL6gcqv5N/fELspWjSXu8eVwiwBOgIGASnu6p92fwuI/EibGr00gPK5qNu4XJ4B4hzfyoWauSKY8jBg7neNCAGjB6fC/ZZY3FphwiEeecEb3AAhFNc8rMTLCOC7VDVccnXGyOV6ePvho/NmtaHMQfWGWAX79GDFN4jcFtFVTDTrfWAwphVbr74J7h06pbZW/plG4M5BHIoHvnDNURAII7F4vDh3odlpK8m95SBVCgUAyo1cISm2FaAc0GDGMHb3yu/LnlfAHbd+XPF7QpIT46wfGUCKzvXf8AIktITUnSNXJYEZqPA9y5f78IVENuK+URo1cQC6KHEScnR6yLnnZk4WD73HblDQYgnQnUnrN8/VfgE2fLgXgGR2DTk5xZI62IgXfPJ9DIVo8/6NDx9bssTHE0WtfH0s0oAfcFPPRcBeDEKWsaBd7w2PgonbxPtiipBDoINDLp53rKe66fiAMgF4CZD1ooZHcjTnWAaARQSUcHRAZSvCcEqEovziJzowjQSChNCuCE/wAR2IifJhUlooVrDb3x6mSa12AwnIdb6mb2+ISEhmj3kdoVUVpwB83Hk/8AkxWBXXU+hnIstcEinA/P0CMsoi3hJfsciDMs3oDiMfNLcH+UQhvYGJ3BcHAoC/AAfaKZdzyOXWtOivI/piOaeoaWh8Y7RoidbANvErJiGkkghb698dDzlgmxQHDrdrOR5McEecC0Qptu1e3gs4GqJmh0Jp5vPqGy4zo+Di6s+2R+GdITYA19EAOEk8m6DN+Zl1g0RuQABZtl94iOBwmrAEi6yVXyfACQu4C+cL2ADogoWh4TKXO6aHkEheBmNWXwYpB3pDhHBSnCIHAKQDwEznjyAohyJyeMDfrQwaIR2GqRwoAwBUEoi15VtcEcB/6MdrswUUDIVoKNKvEwdQbRxJaF9qeseRMHJAhfx/8AYrfI9NaDXvLCKuEVy4eHFlxQLHmvUz/jchxAxV4MFpQjKPf6Of8ABYCGlAJDnX8CiFyFQPWFxoUxLKDRJzPPOLgdAUTkS4MRVgG39c4OwBPkXP3X/nGUsBRXFR1n/C5/wue7FKmT3eUX1WcbG2HvBEpswEQAKr1jcSVKiyx3igK8GIRFKoSCHjlM1HEqdwKvBtOcUCrA2uOSt3qjOEHrKZ8aBSMpvZya+jAkagUjLyXs19Di7u6IVa43zr6DFivE7RxYsy1AFdpXLhseMeMJjYEqLzp6+h+VWFMgDET3jhKLvQylOPePTwPFeEz/AILAhCEjs4v4wCOoiahm+dJxiKNwacWm8cvH8upOEmhiMvSBEfCIJ98OLg3kcmOn4ciIyqwt1NdcsEnaI+qQWktmF5x/DAJCVXlPeJaddBKhYcTlnWaD+qMAsB3ybwitxI3cPTllcoPbxDnQ1mmJ4e6UqloUgHRxe5kN3nATrsb59/QJrxfshBPs4bscDPVFR1pHv5yNUWlhDtp/AYh1A1Ua18ByR3e8JwlK9iR8779Y1HFHEtFXlOfeLyrHSmtqXrCra9rXROZZgfSJSVpA3Gc4yg23SCpTgL9sstP9M7R3N8dEwvdzCHldg6BvzlxDqFaTBk5A09+jf+WNfhgewJvApcCJCt5JqduIT/CDAAMCP6ZvOhjHdBdOEsKVuaAPMdX1gnrTSk9UaHd5x1SBM9CDZrx1gXSNURgaACftmgvnDArAOLdYZHvSM2Q8BVfWEE1ofMAMK5GtkGCSy6fDlPjZG0C6NW6c7vgb8H7nTrjeaIyBTIWrRGp98EAYpjV2OryOzAcAqEqk8Ong3HqciTaDrg5Tl572Rd63RNv8M0rTQQI8jeIlppjPkVdahy++iC1FRJa8U31ikBSCVdpjwgEanBKvznhiQbp/AyTN7XGvnTofify1g8pGPNEfIg5pljhHG4B+D6IRrn2rtXR9Zorwh1WhoezeKMCnR1R63mxWQojYGDXi6xD2rBr8jRXYudJBEhMWhH3rFAbhhFrA0xeujdLywRk1MEeTXiOWydP0YII9Y2DnvbiArETOEEvfvb6MJHxFEeAD0dH1lcCa3RD0Q48OAzh7FdKBFjUTB7hQy1RERvdGM3n/ABscdJonG+NMeAl15YbnM7wJiieQrX0eMF1msadh/bjOqryEIQO2P75xSUBGE/nM93wBRVMnku8RUBKKXnZB+2Rs73cXR6uLbvF0t4EnJu3XjE8bMVaDx6fHWAop3fAmKefsGauNUAN2uP7YQttEA67FneFKNgBWkvaay7kyexsm+uDDubSDx6JZzvEZPgIA873lnzlruNPsbSWNfDjvEwaJwW+ZWk7vzzahDABpvPgVg7YYcaKolsPIIAdityHMBIEIdeQ6k84Yr04GBOzsT1jDBRN0QIGYFV7xTCTAQqA8QK95oVPUCVDtPZmyhLxaQeDNzJNvVAo4g3qFEVVzHA8VFGtJDt/mKRO1BCGmuIMV+faEeSGT1mnxiVQIKinp1kB6JrAENLf7Yb7+yfGbPs5J5IEApwjd9r9MhwkgICbE/pMhbN/Q0ORMBwl7xVClXIfGBhkdG1PeBpU6Q4gNBfHJrOSZWZUDsDfE/sYAdwJRCnu7xM0iqg9ocBU8VmEKpdfR/AwcgSM/ON0u2KBCzvWO+TC8YI/4z/tf7ZqAH6iLR+PokJBo2BMltDvN6RVlEjEwE4QOm4T7MUkl5myl9YK8hsUBNHk26y3nKZUi0NPBg+GGuJpvE9fQPp2EVuXXj4+h8cyiFqmudv8AWSYIBBB2Dh1in/GGJAU3RhS6ePYS0+7ic1p/JBuvd57xlfYdkTb+c0RWFFPhwiu9HBqFa4wshmsXoEE+mQzwQCF2Lsdu8HIKXgDAGNSipBuvX/3BD0cgLo9GHlMKe/FDpqHafQKnZnTk0wDq+MSCgdwm0C89nxjdJFfUdu0N1reDBO/oBiWiIb8gSvBcZfkLuAJKGu+Dl1ihgDNo7I27065cbIa15BUDk13lLnKq02QLOMYkpl/ki8cJ2icEsArqyx1bgiU2fwaeEgsBVh6M4BmKMSl/hYIIQUHip/fAfQJHmJcUReDblrgMhQUs+30FpVKcwLhlJCAB8xf7/wA/QVGV2310cvxi57kIU5BV1xy/Qb/AkBtdLdjroyZ2qp3PPr61j2lbBvDAEU+HjvIZOglLuYx9MaJ26OUewDh0GfpDNP28fBcrSo3KyX84CyNEpNo7NPHhwpwFZVBQVKGqBvEjcRQ6yRHz8GIYp+aCp6ecWDkq2g4fPbeWFUR5WDy/OOGRByvJ+n0mMEPckPc+hp7gM2JinI9neIPkvBILu1A8XEvopHlULGROMayEoBk8hdRYBrBRYp0QKBGjtd38Yg1z7IwXl2m2Bccq0sLD4BOed4RiBAziFCDdSeMlGtSUFbk9+HKK0YE0RogOvOCZXgsTcbDNGs/YfDhRZggRMSUcrvIyvsv3OG6soLMuQim9PKdEdfH3WEgSYCydo+TJokh9yM3Hoh/PYppDFfIIn5PpoWpMmSFVe31rFgljxlikcjnzhqTtXDVvg0id4q/EOEgdBPPvATEBzXmdYXGhHFG6dUpQnY6fImFCwchDo+Bg+Kom6LOTDbLeTZgVqSFuNSkiUi1Y9NG8ms8QaVs0MZeDePE5phpDzEX4c2OJQdobfzfoU4TBsxrXV55+nrj9dgv64LB+isoKCRbONTDs21Sk6Ig8H5xVRvTAlrXO95PaXdgRdyzXjIRADQvdsiaY4UKFkAgcs2qzfjIjlNMNgKN9YHRGcKgLbF2trxh4oxwgLAdyC8uTC1HM9ML6r7xVgNeYo26l4nWBE1BVBoaPAU11ilA9nmx1ONt45O9DCUaSd+XL5kxUXGhs8frgzykpCuIHML8/0L+HLcll5nr+JPiqIrSMev8AxBAQSmxsF5m3X/iMBIIQBox7H/4+iACqsAz9/f5wsLVFE+ckhCAFYbfb9PVggHP+Fz1xAFxNQ5ooaUOZs/OMrXAmXIzh9f0oEFVCAeVwkkMAt9zWKeVoiNbMbgKrS6jbbEDG8FAQuNyGbswCpjLIpX9GWcXo4FqQ6Na5w1moKKHvVYxjv9hFpPafnKAmhCvSOLQpvb4BXZA6AfMHy7uSlwSCa6qLyOgHCpxTBEQhCnh713kIECwO4IL0+2UQCmz/ACPb6BB+0XsVUAutuHddL81qLOG8zEegj4soLy61vrLUk1kcuzx4Y+sNAUQDajoU685eyQUka2MV1SzDbFYfMC2DxHWU/DKBeW6HC8YAbsgvsvUOcLYqyzKKVJC0UwFUJSGOBLd9UB84D6BI8xL/AELTTlz7U/U4zV6qjZCUzR5z908sUOAFAVYI43e81RSdMAhfGy3oXrGvpfDXLTmG941ucISkubsH845bI9Bd3nPfGCpegYRrTe/UfeA43UTXyTQ7zUipJDuKE3z3iVfkMCA9Onp25aveWavUigMDlwHEaJLoAaCcffvDWOkmPkZw/TgJJo55CiHfDnLfi03ZQajVnnDAEmHU3gxxcypOyQclbrzgRDxV7tXA7wnGbWA3I6P68vrbsUGNKpwnjD0jgAIsrxQf24eptKm4ppdj1chbAlMgHYVt8TNf22n9ELbbX/UJtDxZ5uOrhJ2g/E1JMSj5aGBpuwpZf8T6BUW+9pVd30mNkVMgVIkvQNtdPd1k4xKGhbDUdtTH1ZW8mBUWK8tu24U1aYxnDOL7wImvDq5U5ff0DBLQxvmJgqWiIsPGkwFSYDFwLwnnDF2gKLzHkuAhThJ+hck302HgJo+MshqDrzELjUcrNiKAiRqvjJatm1CKiJDJAGTEjhInO5hWKkluyICZvbggQAD0f/gH/9k=) ## 依赖库 openCV,PLT、numpy ## 使用 克隆出整个项目,运行**car_lpr.py** ,用于生成车牌,最终保存在**CarPlateData/car_card**路径下。 **get_text.py**用于生成车牌的所有单个词的图片 **CarPlateData**路径下的**opencv_test.py**用于识别已生成的车牌图片的车牌号(半成品)