(self, n)
| 293 | return current_img_summary, imgs |
| 294 | |
| 295 | def visualization(self, n): |
| 296 | fake_sum_train, superimage_train =\ |
| 297 | self.visualize_one_superimage(self.fake_images[:n * n], |
| 298 | self.images[:n * n], |
| 299 | n, "train") |
| 300 | fake_sum_test, superimage_test =\ |
| 301 | self.visualize_one_superimage(self.fake_images[n * n:2 * n * n], |
| 302 | self.images[n * n:2 * n * n], |
| 303 | n, "test") |
| 304 | self.superimages = tf.concat(0, [superimage_train, superimage_test]) |
| 305 | self.image_summary = tf.merge_summary([fake_sum_train, fake_sum_test]) |
| 306 | |
| 307 | hr_fake_sum_train, hr_superimage_train =\ |
| 308 | self.visualize_one_superimage(self.hr_fake_images[:n * n], |
| 309 | self.hr_images[:n * n, :, :, :], |
| 310 | n, "hr_train") |
| 311 | hr_fake_sum_test, hr_superimage_test =\ |
| 312 | self.visualize_one_superimage(self.hr_fake_images[n * n:2 * n * n], |
| 313 | self.hr_images[n * n:2 * n * n], |
| 314 | n, "hr_test") |
| 315 | self.hr_superimages =\ |
| 316 | tf.concat(0, [hr_superimage_train, hr_superimage_test]) |
| 317 | self.hr_image_summary =\ |
| 318 | tf.merge_summary([hr_fake_sum_train, hr_fake_sum_test]) |
| 319 | |
| 320 | def preprocess(self, x, n): |
| 321 | # make sure every row with n column have the same embeddings |
no test coverage detected