2019CCF-BDCI大赛 OCR赛题第一名 天晨破晓团队 去水印网络CGAN模型baseline .zip

================ Training Loss (Wed Nov 6 09:36:59 2019) ================ (epoch: 1, iters: 100, time: 0.078, data: 0.183) G_GAN: 0.582 G_L1: 22.699 D_real: 0.414 D_fake: 0.500 (epoch: 1, iters: 200, time: 0.078, data: 0.001) G_GAN: 0.235 G_L1: 10.911 D_real: 0.788 D_fake: 0.326 (epoch: 1, iters: 300, time: 0.078, data: 0.001) G_GAN: 0.623 G_L1: 6.904 D_real: 0.318 D_fake: 0.690 (epoch: 1, iters: 400, time: 0.078, data: 0.001) G_GAN: 0.248 G_L1: 8.504 D_real: 0.274 D_fake: 0.237 (epoch: 1, iters: 500, time: 0.078, data: 0.001) G_GAN: 0.190 G_L1: 7.780 D_real: 0.371 D_fake: 0.224 (epoch: 1, iters: 600, time: 0.079, data: 0.001) G_GAN: 0.408 G_L1: 17.223 D_real: 0.294 D_fake: 0.412 (epoch: 1, iters: 700, time: 0.078, data: 0.001) G_GAN: 0.237 G_L1: 13.344 D_real: 0.212 D_fake: 0.373 (epoch: 1, iters: 800, time: 0.079, data: 0.001) G_GAN: 0.418 G_L1: 9.724 D_real: 0.318 D_fake: 0.173 (epoch: 1, iters: 900, time: 0.079, data: 0.001) G_GAN: 0.373 G_L1: 10.117 D_real: 0.320 D_fake: 0.191 (epoch: 1, iters: 1000, time: 0.079, data: 0.001) G_GAN: 0.335 G_L1: 7.001 D_real: 0.338 D_fake: 0.236 (epoch: 1, iters: 1100, time: 0.079, data: 0.001) G_GAN: 0.400 G_L1: 9.079 D_real: 0.201 D_fake: 0.224 (epoch: 1, iters: 1200, time: 0.079, data: 0.001) G_GAN: 0.235 G_L1: 8.960 D_real: 0.189 D_fake: 0.335 (epoch: 1, iters: 1300, time: 0.079, data: 0.001) G_GAN: 0.273 G_L1: 10.640 D_real: 0.212 D_fake: 0.305 (epoch: 1, iters: 1400, time: 0.080, data: 0.001) G_GAN: 0.296 G_L1: 5.620 D_real: 0.209 D_fake: 0.277 (epoch: 1, iters: 1500, time: 0.079, data: 0.001) G_GAN: 0.268 G_L1: 7.928 D_real: 0.235 D_fake: 0.295 (epoch: 1, iters: 1600, time: 0.079, data: 0.001) G_GAN: 0.272 G_L1: 7.597 D_real: 0.277 D_fake: 0.260 (epoch: 1, iters: 1700, time: 0.079, data: 0.001) G_GAN: 0.225 G_L1: 5.939 D_real: 0.219 D_fake: 0.547 (epoch: 1, iters: 1800, time: 0.079, data: 0.001) G_GAN: 0.429 G_L1: 8.928 D_real: 0.292 D_fake: 0.196 (epoch: 1, iters: 1900, time: 0.080, data: 0.001) G_GAN: 0.497 G_L1: 11.646 D_real: 0.241 D_fake: 0.326 (epoch: 1, iters: 2000, time: 0.080, data: 0.001) G_GAN: 0.241 G_L1: 5.171 D_real: 0.308 D_fake: 0.606 (epoch: 1, iters: 2100, time: 0.080, data: 0.001) G_GAN: 0.419 G_L1: 8.821 D_real: 0.556 D_fake: 0.565 (epoch: 1, iters: 2200, time: 0.079, data: 0.001) G_GAN: 0.807 G_L1: 4.808 D_real: 0.400 D_fake: 0.329 (epoch: 1, iters: 2300, time: 0.080, data: 0.001) G_GAN: 0.459 G_L1: 12.955 D_real: 0.238 D_fake: 0.182 (epoch: 1, iters: 2400, time: 0.080, data: 0.001) G_GAN: 0.263 G_L1: 4.934 D_real: 0.187 D_fake: 0.505 (epoch: 1, iters: 2500, time: 0.079, data: 0.001) G_GAN: 0.408 G_L1: 6.422 D_real: 0.412 D_fake: 0.266 (epoch: 1, iters: 2600, time: 0.080, data: 0.001) G_GAN: 0.291 G_L1: 6.568 D_real: 0.290 D_fake: 0.249 (epoch: 1, iters: 2700, time: 0.080, data: 0.001) G_GAN: 0.300 G_L1: 4.776 D_real: 0.244 D_fake: 0.273 (epoch: 1, iters: 2800, time: 0.080, data: 0.001) G_GAN: 1.212 G_L1: 9.602 D_real: 0.382 D_fake: 0.086 (epoch: 1, iters: 2900, time: 0.080, data: 0.001) G_GAN: 0.394 G_L1: 4.540 D_real: 0.380 D_fake: 0.243 (epoch: 1, iters: 3000, time: 0.080, data: 0.001) G_GAN: 0.351 G_L1: 4.917 D_real: 0.546 D_fake: 0.315 (epoch: 1, iters: 3100, time: 0.080, data: 0.001) G_GAN: 0.453 G_L1: 8.773 D_real: 0.418 D_fake: 0.271 (epoch: 1, iters: 3200, time: 0.080, data: 0.001) G_GAN: 0.718 G_L1: 3.550 D_real: 0.298 D_fake: 0.329 (epoch: 1, iters: 3300, time: 0.080, data: 0.001) G_GAN: 0.815 G_L1: 5.797 D_real: 0.289 D_fake: 0.256 (epoch: 1, iters: 3400, time: 0.080, data: 0.001) G_GAN: 1.200 G_L1: 10.276 D_real: 0.918 D_fake: 0.766 (epoch: 1, iters: 3500, time: 0.080, data: 0.001) G_GAN: 0.575 G_L1: 9.590 D_real: 1.179 D_fake: 1.137 (epoch: 1, iters: 3600, time: 0.080, data: 0.001) G_GAN: 0.264 G_L1: 8.728 D_real: 0.283 D_fake: 0.267 (epoch: 1, iters: 3700, time: 0.080, data: 0.001) G_GAN: 0.292 G_L1: 6.121 D_real: 0.306 D_fake: 0.231 (epoch: 1, iters: 3800, time: 0.081, data: 0.001) G_GAN: 0.307 G_L1: 6.865 D_real: 0.256 D_fake: 0.274 (epoch: 1, iters: 3900, time: 0.080, data: 0.001) G_GAN: 0.273 G_L1: 7.541 D_real: 0.292 D_fake: 0.203 (epoch: 1, iters: 4000, time: 0.080, data: 0.001) G_GAN: 0.252 G_L1: 4.410 D_real: 0.209 D_fake: 0.345 (epoch: 1, iters: 4100, time: 0.079, data: 0.001) G_GAN: 0.254 G_L1: 5.657 D_real: 0.211 D_fake: 0.282 (epoch: 1, iters: 4200, time: 0.080, data: 0.001) G_GAN: 0.360 G_L1: 6.937 D_real: 0.255 D_fake: 0.401 (epoch: 1, iters: 4300, time: 0.081, data: 0.001) G_GAN: 0.240 G_L1: 13.237 D_real: 0.312 D_fake: 0.245 (epoch: 1, iters: 4400, time: 0.082, data: 0.001) G_GAN: 0.317 G_L1: 1.975 D_real: 0.282 D_fake: 0.283 (epoch: 1, iters: 4500, time: 0.082, data: 0.001) G_GAN: 0.266 G_L1: 7.341 D_real: 0.256 D_fake: 0.248 (epoch: 1, iters: 4600, time: 0.082, data: 0.001) G_GAN: 0.262 G_L1: 7.029 D_real: 0.239 D_fake: 0.283 (epoch: 1, iters: 4700, time: 0.081, data: 0.001) G_GAN: 0.247 G_L1: 4.147 D_real: 0.288 D_fake: 0.228 (epoch: 1, iters: 4800, time: 0.081, data: 0.001) G_GAN: 0.386 G_L1: 3.398 D_real: 0.244 D_fake: 0.293 (epoch: 1, iters: 4900, time: 0.081, data: 0.001) G_GAN: 0.211 G_L1: 4.229 D_real: 0.222 D_fake: 0.288 (epoch: 1, iters: 5000, time: 0.081, data: 0.001) G_GAN: 0.270 G_L1: 3.595 D_real: 0.257 D_fake: 0.243 (epoch: 1, iters: 5100, time: 0.081, data: 0.001) G_GAN: 0.253 G_L1: 5.791 D_real: 0.276 D_fake: 0.221 (epoch: 1, iters: 5200, time: 0.080, data: 0.001) G_GAN: 0.424 G_L1: 3.378 D_real: 0.264 D_fake: 0.712 (epoch: 1, iters: 5300, time: 0.082, data: 0.001) G_GAN: 0.250 G_L1: 8.127 D_real: 0.236 D_fake: 0.247 (epoch: 1, iters: 5400, time: 0.082, data: 0.001) G_GAN: 0.276 G_L1: 7.392 D_real: 0.255 D_fake: 0.253 (epoch: 1, iters: 5500, time: 0.083, data: 0.001) G_GAN: 0.264 G_L1: 4.966 D_real: 0.307 D_fake: 0.245 (epoch: 1, iters: 5600, time: 0.082, data: 0.001) G_GAN: 0.259 G_L1: 5.703 D_real: 0.251 D_fake: 0.241 (epoch: 1, iters: 5700, time: 0.083, data: 0.001) G_GAN: 0.214 G_L1: 4.270 D_real: 0.228 D_fake: 0.276 (epoch: 1, iters: 5800, time: 0.082, data: 0.001) G_GAN: 0.262 G_L1: 4.539 D_real: 0.236 D_fake: 0.264 (epoch: 1, iters: 5900, time: 0.082, data: 0.001) G_GAN: 0.306 G_L1: 5.135 D_real: 0.238 D_fake: 0.260 (epoch: 1, iters: 6000, time: 0.083, data: 0.001) G_GAN: 0.296 G_L1: 3.016 D_real: 0.218 D_fake: 0.294 (epoch: 1, iters: 6100, time: 0.083, data: 0.001) G_GAN: 0.209 G_L1: 4.172 D_real: 0.249 D_fake: 0.265 (epoch: 1, iters: 6200, time: 0.083, data: 0.001) G_GAN: 0.272 G_L1: 4.377 D_real: 0.275 D_fake: 0.240 (epoch: 1, iters: 6300, time: 0.084, data: 0.001) G_GAN: 0.205 G_L1: 5.137 D_real: 0.388 D_fake: 0.154 (epoch: 1, iters: 6400, time: 0.086, data: 0.001) G_GAN: 0.232 G_L1: 3.095 D_real: 0.297 D_fake: 0.211 (epoch: 1, iters: 6500, time: 0.082, data: 0.001) G_GAN: 0.221 G_L1: 6.420 D_real: 0.318 D_fake: 0.199 (epoch: 1, iters: 6600, time: 0.087, data: 0.001) G_GAN: 0.207 G_L1: 3.063 D_real: 0.265 D_fake: 0.245 (epoch: 1, iters: 6700, time: 0.082, data: 0.001) G_GAN: 0.222 G_L1: 6.846 D_real: 0.268 D_fake: 0.236 (epoch: 1, iters: 6800, time: 0.087, data: 0.001) G_GAN: 0.501 G_L1: 2.961 D_real: 0.156 D_fake: 0.482 (epoch: 1, iters: 6900, time: 0.083, data: 0.001) G_GAN: 0.236 G_L1: 3.185 D_real: 0.284 D_fake: 0.220 (epoch: 1, iters: 7000, time: 0.082, data: 0.001) G_GAN: 0.164 G_L1: 3.831 D_real: 0.410 D_fake: 0.152 (epoch: 1, iters: 7100, time: 0.084, data: 0.001) G_GAN: 0.311 G_L1: 2.961 D_real: 0.197 D_fake: 0.321 (epoch: 1, iters: 7200, time: 0.087, data: 0.001) G_GAN: 0.520 G_L1: 5.777 D_real: 0.147 D_fake: 0.519 (epoch: 1, iters: 7300, time: 0.085, data: 0.001) G_GAN: 0.364 G_L1: 3.471 D_real: 0.187 D_fake: 0.342 (epoch: 1, iters: 7400, time: 0.082, data: 0.001) G_GAN: 0.225 G_L1: 3.963 D_real: 0.293 D_fake: 0.221 (epoch: 1, iters: 7500, time: 0.087, data: 0.001) G_GAN: 0.272 G_L1: 4.195 D_real: 0.254 D_fake: 0.246 (epoch: 1, iters: 7600, time: 0.084, data: 0.001) G_GAN: 0.359 G_L1: 8.771 D_real: 0.274 D_fake: 0.242 (epoch: 1, iters: 770