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.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+MBRS/MBRS_Diffusion_128_m30/images/epoch-test.png filter=lfs diff=lfs merge=lfs -text
+MuST/models.pyt filter=lfs diff=lfs merge=lfs -text

CIN/pth/cinNet&nsmNet.pth

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+size 137922060

EditGuard/clean.pth

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EditGuard/degrade.pth

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MBRS/MBRS_256_m256/best.txt

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+epoch 42

MBRS/MBRS_256_m256/models/.gitignore

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+# ignore all except .gitignore file
+*
+!.gitignore

MBRS/MBRS_256_m256/models/D_42.pth

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MBRS/MBRS_256_m256/models/EC_42.pth

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MBRS/MBRS_256_m256/models/MBRS_256_256-20250513T065931Z-1-001.zip

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MBRS/MBRS_256_m256/test_JpegTest(50)_s1_params.json

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+{
+  "result_folder": "MBRS_256_m256/",
+  "model_epoch": 42,
+  "with_diffusion": false,
+  "strength_factor": 1,
+  "dataset_path": "./test_dataset/",
+  "H": 256,
+  "W": 256,
+  "message_length": 256,
+  "save_images_number": 4,
+  "noise_layers": [
+    "JpegTest(50)"
+  ]
+}

MBRS/MBRS_256_m256/train_log.txt

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+-----------------------Date: 2021/02/15 21:41:17-----------------------
+Epoch 0 : 335
+error_rate=0.004913680854885058,psnr=22.063806433591544,ssim=0.48310398429093887,g_loss=0.08865011970807717,g_decoded_loss=2.6468296588348053,g_loss_on_encoder=0.03641826682379974,g_loss_on_decoder=0.005196716974793141,d_cover_loss=0.16490775934299715,d_encoded_loss=0.15246202462400218,
+Epoch 1 : 327
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+Epoch 2 : 327
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+Epoch 3 : 327
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+Epoch 4 : 328
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+Epoch 5 : 327
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+Epoch 6 : 328
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+Epoch 9 : 329
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+Epoch 59 : 329
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+Epoch 63 : 330
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+Epoch 69 : 331
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+Epoch 70 : 329
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+Epoch 72 : 330
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+Epoch 74 : 331
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+Epoch 75 : 329
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+Epoch 76 : 328
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+Epoch 77 : 330
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+Epoch 78 : 329
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+Epoch 79 : 328
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+Epoch 80 : 329
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+Epoch 81 : 329
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+Epoch 82 : 329
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+Epoch 83 : 330
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+Epoch 84 : 329
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+Epoch 85 : 329
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+Epoch 86 : 330
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+Epoch 87 : 328
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+Epoch 88 : 330
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+Epoch 89 : 328
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+Epoch 90 : 329
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+Epoch 91 : 323
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+Epoch 92 : 321
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+Epoch 93 : 322
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+Epoch 94 : 322
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+Epoch 95 : 322
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+Epoch 96 : 322
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+Epoch 97 : 320
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+Epoch 98 : 321
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+Epoch 99 : 322
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+Epoch 100 : 322
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MBRS/MBRS_256_m256/val_log.txt

@@ -0,0 +1,203 @@
+-----------------------Date: 2021/02/15 21:41:17-----------------------
+Epoch 0 : 129
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+Epoch 1 : 129
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+Epoch 2 : 130
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+Epoch 3 : 129
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+Epoch 4 : 129
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MBRS/MBRS_Diffusion_128_m30/models/.gitignore

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MBRS/MBRS_Diffusion_128_m30/models/EC_114.pth

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MBRS/MBRS_Diffusion_128_m30/models/MBRS_Diffusion_128_30-20250513T065931Z-1-001.zip

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MBRS/MBRS_Diffusion_128_m30/test_Crop(0.19,0.19)_s1_log.txt

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+-----------------------Date: 2021/07/05 20:50:20-----------------------
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MBRS/MBRS_Diffusion_128_m30/test_Crop(0.19,0.19)_s1_params.json

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+{
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+  ]
+}

MBRS/MBRS_Diffusion_128_m30/test_JpegTest(50)_s1_log.txt

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+-----------------------Date: 2021/07/05 20:49:56-----------------------
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MBRS/MBRS_Diffusion_128_m30/test_JpegTest(50)_s1_params.json

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+{
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+}

MBRS/MBRS_Diffusion_128_m30/train_log.txt

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+-----------------------Date: 2021/02/24 08:10:06-----------------------
+Epoch 0 : 169
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+Epoch 69 : 166
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+Epoch 70 : 166
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+Epoch 72 : 166
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+Epoch 73 : 166
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+Epoch 74 : 166
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+Epoch 75 : 166
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+Epoch 76 : 166
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+Epoch 77 : 166
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+Epoch 78 : 166
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+Epoch 79 : 166
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+Epoch 80 : 165
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+Epoch 81 : 165
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+Epoch 89 : 165
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+Epoch 91 : 165
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+Epoch 94 : 165
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+Epoch 95 : 165
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+Epoch 96 : 165
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+Epoch 99 : 165
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+Epoch 102 : 165
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+Epoch 104 : 165
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+Epoch 106 : 165
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+Epoch 107 : 165
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+Epoch 108 : 165
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+Epoch 110 : 165
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+Epoch 111 : 165
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+Epoch 112 : 165
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+Epoch 113 : 165
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+Epoch 114 : 165
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+Epoch 115 : 165
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+Epoch 116 : 166
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+Epoch 117 : 165
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+Epoch 118 : 165
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+Epoch 119 : 165
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+Epoch 120 : 166
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+Epoch 121 : 165
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+Epoch 122 : 166
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+Epoch 123 : 166
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+Epoch 124 : 165
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+Epoch 125 : 166
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+Epoch 126 : 166
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+Epoch 127 : 165
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+Epoch 128 : 165
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+Epoch 129 : 165
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+Epoch 130 : 166
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+Epoch 135 : 166
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+Epoch 137 : 166
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+Epoch 139 : 166
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+Epoch 140 : 166
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+Epoch 141 : 165
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+Epoch 142 : 165
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+Epoch 143 : 165
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+Epoch 144 : 165
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+Epoch 145 : 166
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+Epoch 146 : 166
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+Epoch 147 : 166
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+Epoch 148 : 166
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+Epoch 149 : 165
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+Epoch 151 : 166
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+Epoch 154 : 166
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+Epoch 155 : 165
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+Epoch 157 : 166
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+Epoch 158 : 166
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+Epoch 159 : 165
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+Epoch 161 : 166
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+Epoch 162 : 166
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+Epoch 163 : 166
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+Epoch 164 : 166
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+Epoch 165 : 166
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+Epoch 166 : 166
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+Epoch 167 : 166
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+Epoch 168 : 166
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+Epoch 169 : 166
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+Epoch 170 : 166
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+Epoch 171 : 166
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+Epoch 172 : 166
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+Epoch 173 : 165
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+Epoch 174 : 165
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+Epoch 175 : 166
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+Epoch 176 : 166
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+Epoch 177 : 166
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+Epoch 178 : 165
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+Epoch 179 : 166
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+Epoch 180 : 165
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+Epoch 181 : 166
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+Epoch 182 : 166
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+Epoch 234 : 166
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+Epoch 235 : 166
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+Epoch 236 : 166
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+Epoch 237 : 166
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+Epoch 238 : 165
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+Epoch 239 : 166
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+Epoch 240 : 166
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+Epoch 241 : 166
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+Epoch 242 : 166
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+Epoch 243 : 166
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+Epoch 244 : 166
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+Epoch 245 : 165
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+Epoch 246 : 166
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+Epoch 247 : 166
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+Epoch 248 : 166
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+Epoch 249 : 165
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+Epoch 250 : 166
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+Epoch 251 : 166
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+Epoch 252 : 166
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+Epoch 253 : 165
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+Epoch 254 : 165
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+Epoch 255 : 166
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+Epoch 256 : 165
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+Epoch 257 : 165
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+Epoch 258 : 166
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+Epoch 259 : 165
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+Epoch 260 : 165
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+Epoch 261 : 165
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+Epoch 262 : 166
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+Epoch 263 : 165
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+Epoch 264 : 166
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+Epoch 265 : 166
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+Epoch 266 : 165
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+Epoch 267 : 165
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+Epoch 268 : 165
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+Epoch 269 : 166
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+Epoch 270 : 165
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+Epoch 271 : 165
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+Epoch 272 : 165
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+Epoch 273 : 165
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+Epoch 274 : 165
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+Epoch 275 : 166
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+Epoch 276 : 165
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+Epoch 277 : 165
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+Epoch 278 : 165
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+Epoch 279 : 165
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+Epoch 280 : 165
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+Epoch 281 : 165
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+Epoch 282 : 165
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+Epoch 283 : 165
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+Epoch 284 : 165
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+Epoch 285 : 165
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+Epoch 286 : 165
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+Epoch 287 : 165
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+Epoch 288 : 165
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+Epoch 289 : 165
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+Epoch 290 : 165
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+Epoch 291 : 165
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+Epoch 292 : 165
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+Epoch 293 : 165
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+Epoch 294 : 165
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+Epoch 295 : 165
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+Epoch 296 : 165
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+Epoch 297 : 165
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+Epoch 298 : 165
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+Epoch 299 : 165
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+Epoch 300 : 165
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MBRS/MBRS_Diffusion_128_m30/val_log.txt

@@ -0,0 +1,603 @@
+-----------------------Date: 2021/02/24 08:10:06-----------------------
+Epoch 0 : 72
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+Epoch 1 : 73
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+Epoch 2 : 73
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+Epoch 3 : 73
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+Epoch 4 : 72
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+Epoch 5 : 72
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+Epoch 6 : 72
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+Epoch 7 : 73
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+Epoch 8 : 74
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+Epoch 9 : 73
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+Epoch 10 : 73
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+Epoch 11 : 73
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+Epoch 12 : 72
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+Epoch 13 : 73
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+Epoch 15 : 73
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+Epoch 17 : 73
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+Epoch 21 : 72
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+Epoch 22 : 73
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+Epoch 25 : 73
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+Epoch 26 : 72
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+Epoch 27 : 72
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+Epoch 28 : 74
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+Epoch 29 : 72
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+Epoch 30 : 72
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+Epoch 31 : 73
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+Epoch 32 : 73
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+Epoch 33 : 73
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+Epoch 34 : 73
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+Epoch 35 : 72
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+Epoch 36 : 74
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+Epoch 37 : 72
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+Epoch 81 : 73
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+Epoch 82 : 74
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+Epoch 85 : 73
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+Epoch 86 : 72
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+Epoch 88 : 72
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+Epoch 89 : 73
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+Epoch 118 : 72
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+Epoch 124 : 73
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+Epoch 125 : 74
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+Epoch 126 : 73
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+Epoch 127 : 73
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+Epoch 130 : 72
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+Epoch 131 : 73
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+Epoch 132 : 73
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+Epoch 133 : 73
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+Epoch 134 : 73
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+Epoch 135 : 72
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+Epoch 136 : 73
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+Epoch 137 : 73
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+Epoch 138 : 72
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+Epoch 139 : 73
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+Epoch 140 : 73
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+Epoch 141 : 72
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+Epoch 142 : 72
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+Epoch 143 : 73
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+Epoch 180 : 72
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+Epoch 181 : 72
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+Epoch 182 : 72
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+Epoch 183 : 72
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+Epoch 184 : 72
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+Epoch 185 : 72
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+Epoch 186 : 72
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+Epoch 187 : 73
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+Epoch 188 : 73
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+Epoch 189 : 73
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+Epoch 190 : 72
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+Epoch 192 : 73
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+Epoch 193 : 72
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+Epoch 194 : 72
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+Epoch 195 : 73
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MaskMark/D_64bits.pth

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MaskMark/ED_128bits.pth

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MaskMark/ED_32bits.pth

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+size 253738245

MaskMark/ED_32bits_move%26resize_ft.pth

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+size 253739507

MaskMark/ED_32bits_vae_ft.pth

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MaskMark/ED_64bits.pth

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+size 255936645

MaskMark/configs/model/D_128bits.yaml

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+wm_enc_config:
+  image_size: 256
+  message_length: 128
+  in_channels: 3
+  tp_channels: 32
+  mask_channel: 0
+  channels: 64
+  norm_type: group
+wm_dec_config:
+  image_size: 256
+  message_length: 128
+  in_channels: 3
+  tp_channels: 32
+  mask_channel: 1
+  channels: 128
+  norm_type: group

MaskMark/configs/model/D_32bits.yaml

@@ -0,0 +1,16 @@
+wm_enc_config:
+  image_size: 256
+  message_length: 32
+  in_channels: 3
+  tp_channels: 3
+  mask_channel: 0
+  channels: 64
+  norm_type: group
+wm_dec_config:
+  image_size: 256
+  message_length: 32
+  in_channels: 3
+  tp_channels: 3
+  mask_channel: 1
+  channels: 128
+  norm_type: group

MaskMark/configs/model/D_64bits.yaml

@@ -0,0 +1,16 @@
+wm_enc_config:
+  image_size: 256
+  message_length: 64
+  in_channels: 3
+  tp_channels: 32
+  mask_channel: 0
+  channels: 64
+  norm_type: group
+wm_dec_config:
+  image_size: 256
+  message_length: 64
+  in_channels: 3
+  tp_channels: 32
+  mask_channel: 1
+  channels: 128
+  norm_type: group

MaskMark/configs/model/ED_128bits.yaml

@@ -0,0 +1,16 @@
+wm_enc_config:
+  image_size: 256
+  message_length: 128
+  in_channels: 3
+  tp_channels: 32
+  mask_channel: 1
+  channels: 64
+  norm_type: group
+wm_dec_config:
+  image_size: 256
+  message_length: 128
+  in_channels: 3
+  tp_channels: 32
+  mask_channel: 1
+  channels: 128
+  norm_type: group

MaskMark/configs/model/ED_32bits.yaml

@@ -0,0 +1,16 @@
+wm_enc_config:
+  image_size: 256
+  message_length: 32
+  in_channels: 3
+  tp_channels: 3
+  mask_channel: 1
+  channels: 64
+  norm_type: group
+wm_dec_config:
+  image_size: 256
+  message_length: 32
+  in_channels: 3
+  tp_channels: 3
+  mask_channel: 1
+  channels: 128
+  norm_type: group

MaskMark/configs/model/ED_64bits.yaml

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+wm_enc_config:
+  image_size: 256
+  message_length: 64
+  in_channels: 3
+  tp_channels: 32
+  mask_channel: 1
+  channels: 64
+  norm_type: group
+wm_dec_config:
+  image_size: 256
+  message_length: 64
+  in_channels: 3
+  tp_channels: 32
+  mask_channel: 1
+  channels: 128
+  norm_type: group

MaskMark/configs/train/finetune_crop&resize.yaml

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+device: cuda:0
+num_training_steps: 50000
+num_save_steps: 10000
+dataset_path: <your data dir>
+batch_size: 16
+lr: 0.0001
+encoder_weight: 1
+decoder_weight: 20
+decoder_weight_end: 0.3
+num_decoder_weight_decay_ratio: 0.05
+mask_weight: 0.5
+ED_path: <your model path>
+use_scheduler: ''
+start_jnd_ratio: 0.05
+noise_layers: Combined([Identity(),JpegMask(50),JpegTest(50),GF(1,5),GN(0,0.1),MF(5),SP(0.1),Rotate(-90,90),Perspective(0.1,0.5),HorizontalFlip()])
+ft_noise_layers: Combined([CropResize(0.1, 1.0)])
+full_mask_ft: true
+masks:
+  kind: mixed
+  invert_proba: 0.5
+  irregular_proba: 0.25
+  box_proba: 0.25
+  full_proba: 0.25
+  segm_proba: 0.25

MaskMark/configs/train/finetune_vae.yaml

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+device: cuda:0
+num_training_steps: 20000
+num_save_steps: 10000
+dataset_path: <your data dir>
+batch_size: 16
+lr: 0.0001
+encoder_weight: 1
+decoder_weight: 20
+decoder_weight_end: 0.3
+num_decoder_weight_decay_ratio: 0.05
+mask_weight: 0.5
+ED_path: <your model path>
+use_scheduler: ''
+start_jnd_ratio: 0.05
+noise_layers: Combined([Identity(),JpegMask(50),JpegTest(50),GF(1,5),GN(0,0.1),MF(5),SP(0.1),Rotate(-90,90),Perspective(0.1,0.5),HorizontalFlip()])
+ft_noise_layers: Combined([VAE()])
+full_mask_ft: false
+masks:
+  kind: mixed
+  invert_proba: 0.5
+  irregular_proba: 0.25
+  box_proba: 0.25
+  full_proba: 0.25
+  segm_proba: 0.25

MaskMark/configs/train/train.yaml

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+device: cuda:0
+num_training_steps: 100000
+num_save_steps: 10000
+dataset_path: ./data/coco_data
+batch_size: 16
+lr: 0.0001
+encoder_weight: 1
+decoder_weight: 20
+decoder_weight_end: 0.2
+num_decoder_weight_decay_ratio: 0.05
+mask_weight: 0.5
+ED_path: ''
+use_scheduler: cosine
+start_jnd_ratio: 0.05
+noise_layers: Combined([Identity(),JpegMask(50),JpegTest(50),GF(1,5),GN(0,0.1),MF(5),SP(0.1),Rotate(-90,90),Perspective(0.1,0.5),HorizontalFlip()])
+ft_noise_layers: ''
+full_mask_ft: false
+masks:
+  kind: mixed
+  invert_proba: 0.5
+  irregular_proba: 0.25
+  box_proba: 0.25
+  full_proba: 0.25
+  segm_proba: 0.25

MaskMark/sam_vit_h_4b8939.pth

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MuST/models.pyt

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MuST/options-and-config.pickle

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PIMoG/ScreenShooting/Encoder_Decoder_Model_mask_99.pth

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RobustWide/wm_model.ckpt

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RobustWide/wm_model_config.yaml

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+wm_enc_config:
+  image_size: 512
+  message_length: 64
+  in_channels: 3
+  channels: 64
+  norm_type: batch
+  final_skip: true
+wm_dec_config:
+  image_size: 512
+  message_length: 64
+  in_channels: 3
+  norm_type: batch