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val Loss: 0.3457 accuracy: 0.9121 cls Loss: 0.2668 offset Loss: 0.0080 landmarks Loss: 0.0750
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val Loss: 0.1135 accuracy: 0.9431 cls Loss: 0.0903 offset Loss: 0.0178 landmarks Loss: 0.0286
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val Loss: 0.1041 accuracy: 0.9511 cls Loss: 0.0812 offset Loss: 0.0175 landmarks Loss: 0.0283
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val Loss: 0.1165 accuracy: 0.9452 cls Loss: 0.0945 offset Loss: 0.0161 landmarks Loss: 0.0278
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val Loss: 0.1015 accuracy: 0.9507 cls Loss: 0.0798 offset Loss: 0.0151 landmarks Loss: 0.0283
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val Loss: 0.0993 accuracy: 0.9523 cls Loss: 0.0773 offset Loss: 0.0163 landmarks Loss: 0.0278
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val Loss: 0.0990 accuracy: 0.9519 cls Loss: 0.0778 offset Loss: 0.0153 landmarks Loss: 0.0271
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val Loss: 0.1101 accuracy: 0.9443 cls Loss: 0.0888 offset Loss: 0.0151 landmarks Loss: 0.0275
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val Loss: 0.1007 accuracy: 0.9566 cls Loss: 0.0800 offset Loss: 0.0143 landmarks Loss: 0.0271
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val Loss: 0.1143 accuracy: 0.9462 cls Loss: 0.0914 offset Loss: 0.0183 landmarks Loss: 0.0276
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val Loss: 0.1185 accuracy: 0.9526 cls Loss: 0.0980 offset Loss: 0.0129 landmarks Loss: 0.0281
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val Loss: 0.1187 accuracy: 0.9526 cls Loss: 0.0982 offset Loss: 0.0129 landmarks Loss: 0.0281
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val Loss: 0.1189 accuracy: 0.9528 cls Loss: 0.0984 offset Loss: 0.0129 landmarks Loss: 0.0281
train Loss: 0.1018 accuracy: 0.9811 cls Loss: 0.0270 offset Loss: 0.0120 landmarks Loss: 0.1376
val Loss: 0.1191 accuracy: 0.9528 cls Loss: 0.0986 offset Loss: 0.0129 landmarks Loss: 0.0281
train Loss: 0.1016 accuracy: 0.9815 cls Loss: 0.0268 offset Loss: 0.0119 landmarks Loss: 0.1375
val Loss: 0.1191 accuracy: 0.9526 cls Loss: 0.0986 offset Loss: 0.0129 landmarks Loss: 0.0281
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val Loss: 0.1193 accuracy: 0.9530 cls Loss: 0.0988 offset Loss: 0.0129 landmarks Loss: 0.0281
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val Loss: 0.6036 accuracy: 0.7543 cls Loss: 0.4057 offset Loss: 0.1467 landmarks Loss: 0.2492
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val Loss: 0.4851 accuracy: 0.7616 cls Loss: 0.3693 offset Loss: 0.0560 landmarks Loss: 0.1757
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val Loss: 0.0156 accuracy: 0.9960 cls Loss: 0.0086 offset Loss: 0.0106 landmarks Loss: 0.0033
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val Loss: 0.0226 accuracy: 0.9926 cls Loss: 0.0161 offset Loss: 0.0101 landmarks Loss: 0.0028
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val Loss: 0.0191 accuracy: 0.9945 cls Loss: 0.0111 offset Loss: 0.0126 landmarks Loss: 0.0035
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val Loss: 0.0216 accuracy: 0.9923 cls Loss: 0.0142 offset Loss: 0.0119 landmarks Loss: 0.0028
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val Loss: 0.0155 accuracy: 0.9942 cls Loss: 0.0099 offset Loss: 0.0090 landmarks Loss: 0.0022
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val Loss: 0.0135 accuracy: 0.9948 cls Loss: 0.0081 offset Loss: 0.0086 landmarks Loss: 0.0021
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val Loss: 0.0137 accuracy: 0.9948 cls Loss: 0.0085 offset Loss: 0.0083 landmarks Loss: 0.0021
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val Loss: 0.0133 accuracy: 0.9948 cls Loss: 0.0082 offset Loss: 0.0082 landmarks Loss: 0.0020
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val Loss: 0.0132 accuracy: 0.9954 cls Loss: 0.0082 offset Loss: 0.0081 landmarks Loss: 0.0020
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val Loss: 0.0073 accuracy: 0.9888 cls Loss: 0.0207 offset Loss: 0.0103 landmarks Loss: 0.0012
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val Loss: 0.0077 accuracy: 0.9882 cls Loss: 0.0226 offset Loss: 0.0108 landmarks Loss: 0.0012
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val Loss: 0.0075 accuracy: 0.9876 cls Loss: 0.0227 offset Loss: 0.0106 landmarks Loss: 0.0012
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val Loss: 0.0050 accuracy: 0.9966 cls Loss: 0.0085 offset Loss: 0.0070 landmarks Loss: 0.0011
train Loss: 0.0021 accuracy: 0.9999 cls Loss: 0.0005 offset Loss: 0.0026 landmarks Loss: 0.0009
val Loss: 0.0051 accuracy: 0.9967 cls Loss: 0.0086 offset Loss: 0.0071 landmarks Loss: 0.0011
train Loss: 0.0021 accuracy: 0.9999 cls Loss: 0.0005 offset Loss: 0.0026 landmarks Loss: 0.0009
val Loss: 0.0050 accuracy: 0.9965 cls Loss: 0.0088 offset Loss: 0.0070 landmarks Loss: 0.0011
train Loss: 0.0021 accuracy: 0.9999 cls Loss: 0.0005 offset Loss: 0.0026 landmarks Loss: 0.0009
val Loss: 0.0050 accuracy: 0.9965 cls Loss: 0.0088 offset Loss: 0.0070 landmarks Loss: 0.0011
train Loss: 0.0021 accuracy: 0.9999 cls Loss: 0.0005 offset Loss: 0.0026 landmarks Loss: 0.0009
val Loss: 0.0050 accuracy: 0.9964 cls Loss: 0.0086 offset Loss: 0.0070 landmarks Loss: 0.0011
train Loss: 0.0020 accuracy: 0.9999 cls Loss: 0.0005 offset Loss: 0.0025 landmarks Loss: 0.0008
val Loss: 0.0051 accuracy: 0.9965 cls Loss: 0.0087 offset Loss: 0.0071 landmarks Loss: 0.0011
train Loss: 0.0020 accuracy: 0.9999 cls Loss: 0.0005 offset Loss: 0.0025 landmarks Loss: 0.0009
val Loss: 0.0051 accuracy: 0.9966 cls Loss: 0.0086 offset Loss: 0.0071 landmarks Loss: 0.0011
train Loss: 0.0020 accuracy: 0.9999 cls Loss: 0.0004 offset Loss: 0.0025 landmarks Loss: 0.0008
val Loss: 0.0051 accuracy: 0.9964 cls Loss: 0.0089 offset Loss: 0.0071 landmarks Loss: 0.0011
train Loss: 0.0020 accuracy: 0.9999 cls Loss: 0.0004 offset Loss: 0.0025 landmarks Loss: 0.0008
val Loss: 0.0051 accuracy: 0.9966 cls Loss: 0.0087 offset Loss: 0.0071 landmarks Loss: 0.0011
train Loss: 0.0020 accuracy: 0.9999 cls Loss: 0.0005 offset Loss: 0.0025 landmarks Loss: 0.0008
val Loss: 0.0051 accuracy: 0.9964 cls Loss: 0.0085 offset Loss: 0.0071 landmarks Loss: 0.0011
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val Loss: 0.0051 accuracy: 0.9963 cls Loss: 0.0091 offset Loss: 0.0071 landmarks Loss: 0.0011
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val Loss: 0.0051 accuracy: 0.9965 cls Loss: 0.0087 offset Loss: 0.0072 landmarks Loss: 0.0011
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val Loss: 0.0051 accuracy: 0.9965 cls Loss: 0.0085 offset Loss: 0.0071 landmarks Loss: 0.0011
train Loss: 0.0020 accuracy: 0.9999 cls Loss: 0.0005 offset Loss: 0.0025 landmarks Loss: 0.0008
val Loss: 0.0051 accuracy: 0.9965 cls Loss: 0.0087 offset Loss: 0.0071 landmarks Loss: 0.0011
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val Loss: 0.0215 accuracy: 0.9911 cls Loss: 0.0189 offset Loss: 0.0116 landmarks Loss: 0.0022
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val Loss: 0.0192 accuracy: 0.9916 cls Loss: 0.0163 offset Loss: 0.0107 landmarks Loss: 0.0019
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val Loss: 0.0292 accuracy: 0.9825 cls Loss: 0.0303 offset Loss: 0.0137 landmarks Loss: 0.0020
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val Loss: 0.0171 accuracy: 0.9934 cls Loss: 0.0131 offset Loss: 0.0102 landmarks Loss: 0.0019
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val Loss: 0.0065 accuracy: 0.9918 cls Loss: 0.0163 offset Loss: 0.0138 landmarks Loss: 0.0025
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val Loss: 0.0090 accuracy: 0.9941 cls Loss: 0.0127 offset Loss: 0.0085 landmarks Loss: 0.0016
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val Loss: 0.0100 accuracy: 0.9937 cls Loss: 0.0140 offset Loss: 0.0093 landmarks Loss: 0.0020
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val Loss: 0.0100 accuracy: 0.9933 cls Loss: 0.0139 offset Loss: 0.0093 landmarks Loss: 0.0021
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val Loss: 0.0089 accuracy: 0.9942 cls Loss: 0.0140 offset Loss: 0.0076 landmarks Loss: 0.0016
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val Loss: 0.0089 accuracy: 0.9942 cls Loss: 0.0140 offset Loss: 0.0076 landmarks Loss: 0.0016
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val Loss: 0.0089 accuracy: 0.9942 cls Loss: 0.0140 offset Loss: 0.0076 landmarks Loss: 0.0016
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val Loss: 0.0089 accuracy: 0.9942 cls Loss: 0.0140 offset Loss: 0.0076 landmarks Loss: 0.0016
train Loss: 0.0054 accuracy: 0.9993 cls Loss: 0.0022 offset Loss: 0.0076 landmarks Loss: 0.0019
val Loss: 0.0089 accuracy: 0.9942 cls Loss: 0.0140 offset Loss: 0.0076 landmarks Loss: 0.0016
train Loss: 0.1771 accuracy: 0.8169 cls Loss: 0.2660 offset Loss: 0.0552 landmarks Loss: 0.0549
val Loss: 0.1149 accuracy: 0.8903 cls Loss: 0.1772 offset Loss: 0.0347 landmarks Loss: 0.0198
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val Loss: 0.0863 accuracy: 0.9201 cls Loss: 0.1296 offset Loss: 0.0287 landmarks Loss: 0.0145
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val Loss: 0.0680 accuracy: 0.9410 cls Loss: 0.0985 offset Loss: 0.0249 landmarks Loss: 0.0128
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val Loss: 0.0581 accuracy: 0.9535 cls Loss: 0.0819 offset Loss: 0.0228 landmarks Loss: 0.0119
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val Loss: 0.0517 accuracy: 0.9596 cls Loss: 0.0714 offset Loss: 0.0212 landmarks Loss: 0.0112
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val Loss: 0.0474 accuracy: 0.9642 cls Loss: 0.0644 offset Loss: 0.0202 landmarks Loss: 0.0106
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val Loss: 0.0426 accuracy: 0.9690 cls Loss: 0.0563 offset Loss: 0.0192 landmarks Loss: 0.0101
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val Loss: 0.0394 accuracy: 0.9720 cls Loss: 0.0511 offset Loss: 0.0185 landmarks Loss: 0.0097
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val Loss: 0.0210 accuracy: 0.9872 cls Loss: 0.0237 offset Loss: 0.0124 landmarks Loss: 0.0047
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val Loss: 0.0193 accuracy: 0.9892 cls Loss: 0.0205 offset Loss: 0.0122 landmarks Loss: 0.0045
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val Loss: 0.0197 accuracy: 0.9888 cls Loss: 0.0213 offset Loss: 0.0123 landmarks Loss: 0.0045
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val Loss: 0.0211 accuracy: 0.9939 cls Loss: 0.0180 offset Loss: 0.0085 landmarks Loss: 0.0015
train Loss: 0.0079 accuracy: 0.9996 cls Loss: 0.0011 offset Loss: 0.0088 landmarks Loss: 0.0018
val Loss: 0.0217 accuracy: 0.9932 cls Loss: 0.0187 offset Loss: 0.0085 landmarks Loss: 0.0014
train Loss: 0.0078 accuracy: 0.9997 cls Loss: 0.0010 offset Loss: 0.0087 landmarks Loss: 0.0018
val Loss: 0.0216 accuracy: 0.9937 cls Loss: 0.0187 offset Loss: 0.0085 landmarks Loss: 0.0014
train Loss: 0.0078 accuracy: 0.9996 cls Loss: 0.0010 offset Loss: 0.0087 landmarks Loss: 0.0018
val Loss: 0.0226 accuracy: 0.9934 cls Loss: 0.0199 offset Loss: 0.0086 landmarks Loss: 0.0014
train Loss: 0.0077 accuracy: 0.9996 cls Loss: 0.0009 offset Loss: 0.0086 landmarks Loss: 0.0018
val Loss: 0.0232 accuracy: 0.9935 cls Loss: 0.0207 offset Loss: 0.0085 landmarks Loss: 0.0014
train Loss: 0.0076 accuracy: 0.9996 cls Loss: 0.0009 offset Loss: 0.0086 landmarks Loss: 0.0018
val Loss: 0.0235 accuracy: 0.9934 cls Loss: 0.0209 offset Loss: 0.0086 landmarks Loss: 0.0014
train Loss: 0.0076 accuracy: 0.9997 cls Loss: 0.0009 offset Loss: 0.0086 landmarks Loss: 0.0018
val Loss: 0.0222 accuracy: 0.9937 cls Loss: 0.0195 offset Loss: 0.0083 landmarks Loss: 0.0014
train Loss: 0.0076 accuracy: 0.9997 cls Loss: 0.0008 offset Loss: 0.0086 landmarks Loss: 0.0018
val Loss: 0.0212 accuracy: 0.9939 cls Loss: 0.0184 offset Loss: 0.0083 landmarks Loss: 0.0014
train Loss: 0.0074 accuracy: 0.9998 cls Loss: 0.0007 offset Loss: 0.0085 landmarks Loss: 0.0018
val Loss: 0.0218 accuracy: 0.9940 cls Loss: 0.0191 offset Loss: 0.0083 landmarks Loss: 0.0014
train Loss: 0.0074 accuracy: 0.9998 cls Loss: 0.0007 offset Loss: 0.0085 landmarks Loss: 0.0018
val Loss: 0.0223 accuracy: 0.9938 cls Loss: 0.0198 offset Loss: 0.0083 landmarks Loss: 0.0014
train Loss: 0.0074 accuracy: 0.9997 cls Loss: 0.0008 offset Loss: 0.0085 landmarks Loss: 0.0017
val Loss: 0.0218 accuracy: 0.9941 cls Loss: 0.0191 offset Loss: 0.0083 landmarks Loss: 0.0014
train Loss: 0.0072 accuracy: 0.9999 cls Loss: 0.0006 offset Loss: 0.0085 landmarks Loss: 0.0017
val Loss: 0.0230 accuracy: 0.9935 cls Loss: 0.0206 offset Loss: 0.0083 landmarks Loss: 0.0014
train Loss: 0.0073 accuracy: 0.9998 cls Loss: 0.0006 offset Loss: 0.0084 landmarks Loss: 0.0017
val Loss: 0.0216 accuracy: 0.9940 cls Loss: 0.0190 offset Loss: 0.0082 landmarks Loss: 0.0014
train Loss: 0.0072 accuracy: 0.9999 cls Loss: 0.0005 offset Loss: 0.0084 landmarks Loss: 0.0017
val Loss: 0.0247 accuracy: 0.9930 cls Loss: 0.0228 offset Loss: 0.0083 landmarks Loss: 0.0014
train Loss: 0.0072 accuracy: 0.9999 cls Loss: 0.0006 offset Loss: 0.0084 landmarks Loss: 0.0017
val Loss: 0.0221 accuracy: 0.9937 cls Loss: 0.0196 offset Loss: 0.0082 landmarks Loss: 0.0014
train Loss: 0.0072 accuracy: 0.9998 cls Loss: 0.0006 offset Loss: 0.0084 landmarks Loss: 0.0017
val Loss: 0.0223 accuracy: 0.9941 cls Loss: 0.0198 offset Loss: 0.0082 landmarks Loss: 0.0014
train Loss: 0.0071 accuracy: 0.9998 cls Loss: 0.0005 offset Loss: 0.0083 landmarks Loss: 0.0017
val Loss: 0.0226 accuracy: 0.9941 cls Loss: 0.0202 offset Loss: 0.0082 landmarks Loss: 0.0014
train Loss: 0.0071 accuracy: 0.9998 cls Loss: 0.0005 offset Loss: 0.0083 landmarks Loss: 0.0017
val Loss: 0.0231 accuracy: 0.9936 cls Loss: 0.0208 offset Loss: 0.0082 landmarks Loss: 0.0014
train Loss: 0.0070 accuracy: 0.9999 cls Loss: 0.0005 offset Loss: 0.0083 landmarks Loss: 0.0017
val Loss: 0.0231 accuracy: 0.9937 cls Loss: 0.0209 offset Loss: 0.0082 landmarks Loss: 0.0014
train Loss: 0.0071 accuracy: 0.9998 cls Loss: 0.0006 offset Loss: 0.0083 landmarks Loss: 0.0017
val Loss: 0.0227 accuracy: 0.9938 cls Loss: 0.0203 offset Loss: 0.0082 landmarks Loss: 0.0013
train Loss: 0.0070 accuracy: 0.9998 cls Loss: 0.0005 offset Loss: 0.0083 landmarks Loss: 0.0017
val Loss: 0.0230 accuracy: 0.9939 cls Loss: 0.0207 offset Loss: 0.0082 landmarks Loss: 0.0013
train Loss: 0.0069 accuracy: 0.9999 cls Loss: 0.0004 offset Loss: 0.0082 landmarks Loss: 0.0016
val Loss: 0.0235 accuracy: 0.9937 cls Loss: 0.0215 offset Loss: 0.0081 landmarks Loss: 0.0013
