lincolnhard / facenet-darknet-inference

Face recognition using facenet
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Segmentation fault (core dumped) #5

Open hunt06 opened 5 years ago

hunt06 commented 5 years ago

I am getting segmenation fault after running project in the terminal here is the output san@san-aa:~/Desktop/facenet-darknet-inference$ ./facenet-darknet-inference learning_rate: Using default '0.001000' momentum: Using default '0.900000' decay: Using default '0.000100' subdivisions: Using default '1' policy: Using default 'constant' max_batches: Using default '0' layer filters size input output 0 conv 32 3 x 3 / 2 160 x 160 x 3 -> 79 x 79 x 32 1 conv 32 3 x 3 / 1 79 x 79 x 32 -> 77 x 77 x 32 2 conv 64 3 x 3 / 1 77 x 77 x 32 -> 77 x 77 x 64 3 max 3 x 3 / 2 77 x 77 x 64 -> 38 x 38 x 64 4 conv 80 1 x 1 / 1 38 x 38 x 64 -> 38 x 38 x 80 5 conv 192 3 x 3 / 1 38 x 38 x 80 -> 36 x 36 x 192 6 conv 256 3 x 3 / 2 36 x 36 x 192 -> 17 x 17 x 256 7 conv 32 1 x 1 / 1 17 x 17 x 256 -> 17 x 17 x 32 8 route 6 9 conv 32 1 x 1 / 1 17 x 17 x 256 -> 17 x 17 x 32 10 conv 32 3 x 3 / 1 17 x 17 x 32 -> 17 x 17 x 32 11 route 6 12 conv 32 1 x 1 / 1 17 x 17 x 256 -> 17 x 17 x 32 13 conv 32 3 x 3 / 1 17 x 17 x 32 -> 17 x 17 x 32 14 conv 32 3 x 3 / 1 17 x 17 x 32 -> 17 x 17 x 32 15 route 7 10 14 16 conv 256 1 x 1 / 1 17 x 17 x 96 -> 17 x 17 x 256 17 Shortcut Layer: 6 18 conv 32 1 x 1 / 1 17 x 17 x 256 -> 17 x 17 x 32 19 route 17 20 conv 32 1 x 1 / 1 17 x 17 x 256 -> 17 x 17 x 32 21 conv 32 3 x 3 / 1 17 x 17 x 32 -> 17 x 17 x 32 22 route 17 23 conv 32 1 x 1 / 1 17 x 17 x 256 -> 17 x 17 x 32 24 conv 32 3 x 3 / 1 17 x 17 x 32 -> 17 x 17 x 32 25 conv 32 3 x 3 / 1 17 x 17 x 32 -> 17 x 17 x 32 26 route 18 21 25 27 conv 256 1 x 1 / 1 17 x 17 x 96 -> 17 x 17 x 256 28 Shortcut Layer: 17 29 conv 32 1 x 1 / 1 17 x 17 x 256 -> 17 x 17 x 32 30 route 28 31 conv 32 1 x 1 / 1 17 x 17 x 256 -> 17 x 17 x 32 32 conv 32 3 x 3 / 1 17 x 17 x 32 -> 17 x 17 x 32 33 route 28 34 conv 32 1 x 1 / 1 17 x 17 x 256 -> 17 x 17 x 32 35 conv 32 3 x 3 / 1 17 x 17 x 32 -> 17 x 17 x 32 36 conv 32 3 x 3 / 1 17 x 17 x 32 -> 17 x 17 x 32 37 route 29 32 36 38 conv 256 1 x 1 / 1 17 x 17 x 96 -> 17 x 17 x 256 39 Shortcut Layer: 28 40 conv 32 1 x 1 / 1 17 x 17 x 256 -> 17 x 17 x 32 41 route 39 42 conv 32 1 x 1 / 1 17 x 17 x 256 -> 17 x 17 x 32 43 conv 32 3 x 3 / 1 17 x 17 x 32 -> 17 x 17 x 32 44 route 39 45 conv 32 1 x 1 / 1 17 x 17 x 256 -> 17 x 17 x 32 46 conv 32 3 x 3 / 1 17 x 17 x 32 -> 17 x 17 x 32 47 conv 32 3 x 3 / 1 17 x 17 x 32 -> 17 x 17 x 32 48 route 40 43 47 49 conv 256 1 x 1 / 1 17 x 17 x 96 -> 17 x 17 x 256 50 Shortcut Layer: 39 51 conv 32 1 x 1 / 1 17 x 17 x 256 -> 17 x 17 x 32 52 route 50 53 conv 32 1 x 1 / 1 17 x 17 x 256 -> 17 x 17 x 32 54 conv 32 3 x 3 / 1 17 x 17 x 32 -> 17 x 17 x 32 55 route 50 56 conv 32 1 x 1 / 1 17 x 17 x 256 -> 17 x 17 x 32 57 conv 32 3 x 3 / 1 17 x 17 x 32 -> 17 x 17 x 32 58 conv 32 3 x 3 / 1 17 x 17 x 32 -> 17 x 17 x 32 59 route 51 54 58 60 conv 256 1 x 1 / 1 17 x 17 x 96 -> 17 x 17 x 256 61 Shortcut Layer: 50 62 conv 384 3 x 3 / 2 17 x 17 x 256 -> 8 x 8 x 384 63 route 61 64 conv 192 1 x 1 / 1 17 x 17 x 256 -> 17 x 17 x 192 65 conv 192 3 x 3 / 1 17 x 17 x 192 -> 17 x 17 x 192 66 conv 256 3 x 3 / 2 17 x 17 x 192 -> 8 x 8 x 256 67 route 61 68 max 3 x 3 / 2 17 x 17 x 256 -> 8 x 8 x 256 69 route 62 66 68 70 conv 128 1 x 1 / 1 8 x 8 x 896 -> 8 x 8 x 128 71 route 69 72 conv 128 1 x 1 / 1 8 x 8 x 896 -> 8 x 8 x 128 73 conv 128 7 x 7 / 1 8 x 8 x 128 -> 8 x 8 x 128 74 conv 128 7 x 7 / 1 8 x 8 x 128 -> 8 x 8 x 128 75 route 70 74 76 conv 896 1 x 1 / 1 8 x 8 x 256 -> 8 x 8 x 896 77 Shortcut Layer: 69 78 conv 128 1 x 1 / 1 8 x 8 x 896 -> 8 x 8 x 128 79 route 77 80 conv 128 1 x 1 / 1 8 x 8 x 896 -> 8 x 8 x 128 81 conv 128 7 x 7 / 1 8 x 8 x 128 -> 8 x 8 x 128 82 conv 128 7 x 7 / 1 8 x 8 x 128 -> 8 x 8 x 128 83 route 78 82 84 conv 896 1 x 1 / 1 8 x 8 x 256 -> 8 x 8 x 896 85 Shortcut Layer: 77 86 conv 128 1 x 1 / 1 8 x 8 x 896 -> 8 x 8 x 128 87 route 85 88 conv 128 1 x 1 / 1 8 x 8 x 896 -> 8 x 8 x 128 89 conv 128 7 x 7 / 1 8 x 8 x 128 -> 8 x 8 x 128 90 conv 128 7 x 7 / 1 8 x 8 x 128 -> 8 x 8 x 128 91 route 86 90 92 conv 896 1 x 1 / 1 8 x 8 x 256 -> 8 x 8 x 896 93 Shortcut Layer: 85 94 conv 128 1 x 1 / 1 8 x 8 x 896 -> 8 x 8 x 128 95 route 93 96 conv 128 1 x 1 / 1 8 x 8 x 896 -> 8 x 8 x 128 97 conv 128 7 x 7 / 1 8 x 8 x 128 -> 8 x 8 x 128 98 conv 128 7 x 7 / 1 8 x 8 x 128 -> 8 x 8 x 128 99 route 94 98 100 conv 896 1 x 1 / 1 8 x 8 x 256 -> 8 x 8 x 896 101 Shortcut Layer: 93 102 conv 128 1 x 1 / 1 8 x 8 x 896 -> 8 x 8 x 128 103 route 101 104 conv 128 1 x 1 / 1 8 x 8 x 896 -> 8 x 8 x 128 105 conv 128 7 x 7 / 1 8 x 8 x 128 -> 8 x 8 x 128 106 conv 128 7 x 7 / 1 8 x 8 x 128 -> 8 x 8 x 128 107 route 102 106 108 conv 896 1 x 1 / 1 8 x 8 x 256 -> 8 x 8 x 896 109 Shortcut Layer: 101 110 conv 128 1 x 1 / 1 8 x 8 x 896 -> 8 x 8 x 128 111 route 109 112 conv 128 1 x 1 / 1 8 x 8 x 896 -> 8 x 8 x 128 113 conv 128 7 x 7 / 1 8 x 8 x 128 -> 8 x 8 x 128 114 conv 128 7 x 7 / 1 8 x 8 x 128 -> 8 x 8 x 128 115 route 110 114 116 conv 896 1 x 1 / 1 8 x 8 x 256 -> 8 x 8 x 896 117 Shortcut Layer: 109 118 conv 128 1 x 1 / 1 8 x 8 x 896 -> 8 x 8 x 128 119 route 117 120 conv 128 1 x 1 / 1 8 x 8 x 896 -> 8 x 8 x 128 121 conv 128 7 x 7 / 1 8 x 8 x 128 -> 8 x 8 x 128 122 conv 128 7 x 7 / 1 8 x 8 x 128 -> 8 x 8 x 128 123 route 118 122 124 conv 896 1 x 1 / 1 8 x 8 x 256 -> 8 x 8 x 896 125 Shortcut Layer: 117 126 conv 128 1 x 1 / 1 8 x 8 x 896 -> 8 x 8 x 128 127 route 125 128 conv 128 1 x 1 / 1 8 x 8 x 896 -> 8 x 8 x 128 129 conv 128 7 x 7 / 1 8 x 8 x 128 -> 8 x 8 x 128 130 conv 128 7 x 7 / 1 8 x 8 x 128 -> 8 x 8 x 128 131 route 126 130 132 conv 896 1 x 1 / 1 8 x 8 x 256 -> 8 x 8 x 896 133 Shortcut Layer: 125 134 conv 128 1 x 1 / 1 8 x 8 x 896 -> 8 x 8 x 128 135 route 133 136 conv 128 1 x 1 / 1 8 x 8 x 896 -> 8 x 8 x 128 137 conv 128 7 x 7 / 1 8 x 8 x 128 -> 8 x 8 x 128 138 conv 128 7 x 7 / 1 8 x 8 x 128 -> 8 x 8 x 128 139 route 134 138 140 conv 896 1 x 1 / 1 8 x 8 x 256 -> 8 x 8 x 896 141 Shortcut Layer: 133 142 conv 128 1 x 1 / 1 8 x 8 x 896 -> 8 x 8 x 128 143 route 141 144 conv 128 1 x 1 / 1 8 x 8 x 896 -> 8 x 8 x 128 145 conv 128 7 x 7 / 1 8 x 8 x 128 -> 8 x 8 x 128 146 conv 128 7 x 7 / 1 8 x 8 x 128 -> 8 x 8 x 128 147 route 142 146 148 conv 896 1 x 1 / 1 8 x 8 x 256 -> 8 x 8 x 896 149 Shortcut Layer: 141 150 conv 256 1 x 1 / 1 8 x 8 x 896 -> 8 x 8 x 256 151 conv 384 3 x 3 / 2 8 x 8 x 256 -> 3 x 3 x 384 152 route 149 153 conv 256 1 x 1 / 1 8 x 8 x 896 -> 8 x 8 x 256 154 conv 256 3 x 3 / 2 8 x 8 x 256 -> 3 x 3 x 256 155 route 149 156 conv 256 1 x 1 / 1 8 x 8 x 896 -> 8 x 8 x 256 157 conv 256 3 x 3 / 1 8 x 8 x 256 -> 8 x 8 x 256 158 conv 256 3 x 3 / 2 8 x 8 x 256 -> 3 x 3 x 256 159 route 149 160 max 3 x 3 / 2 8 x 8 x 896 -> 3 x 3 x 896 161 route 151 154 158 160 162 conv 192 1 x 1 / 1 3 x 3 x1792 -> 3 x 3 x 192 163 route 161 164 conv 192 1 x 1 / 1 3 x 3 x1792 -> 3 x 3 x 192 165 conv 192 3 x 3 / 1 3 x 3 x 192 -> 3 x 3 x 192 166 conv 192 3 x 3 / 1 3 x 3 x 192 -> 3 x 3 x 192 167 route 162 166 168 conv 1792 1 x 1 / 1 3 x 3 x 384 -> 3 x 3 x1792 169 Shortcut Layer: 161 170 conv 192 1 x 1 / 1 3 x 3 x1792 -> 3 x 3 x 192 171 route 169 172 conv 192 1 x 1 / 1 3 x 3 x1792 -> 3 x 3 x 192 173 conv 192 3 x 3 / 1 3 x 3 x 192 -> 3 x 3 x 192 174 conv 192 3 x 3 / 1 3 x 3 x 192 -> 3 x 3 x 192 175 route 170 174 176 conv 1792 1 x 1 / 1 3 x 3 x 384 -> 3 x 3 x1792 177 Shortcut Layer: 169 178 conv 192 1 x 1 / 1 3 x 3 x1792 -> 3 x 3 x 192 179 route 177 180 conv 192 1 x 1 / 1 3 x 3 x1792 -> 3 x 3 x 192 181 conv 192 3 x 3 / 1 3 x 3 x 192 -> 3 x 3 x 192 182 conv 192 3 x 3 / 1 3 x 3 x 192 -> 3 x 3 x 192 183 route 178 182 184 conv 1792 1 x 1 / 1 3 x 3 x 384 -> 3 x 3 x1792 185 Shortcut Layer: 177 186 conv 192 1 x 1 / 1 3 x 3 x1792 -> 3 x 3 x 192 187 route 185 188 conv 192 1 x 1 / 1 3 x 3 x1792 -> 3 x 3 x 192 189 conv 192 3 x 3 / 1 3 x 3 x 192 -> 3 x 3 x 192 190 conv 192 3 x 3 / 1 3 x 3 x 192 -> 3 x 3 x 192 191 route 186 190 192 conv 1792 1 x 1 / 1 3 x 3 x 384 -> 3 x 3 x1792 193 Shortcut Layer: 185 194 conv 192 1 x 1 / 1 3 x 3 x1792 -> 3 x 3 x 192 195 route 193 196 conv 192 1 x 1 / 1 3 x 3 x1792 -> 3 x 3 x 192 197 conv 192 3 x 3 / 1 3 x 3 x 192 -> 3 x 3 x 192 198 conv 192 3 x 3 / 1 3 x 3 x 192 -> 3 x 3 x 192 199 route 194 198 200 conv 1792 1 x 1 / 1 3 x 3 x 384 -> 3 x 3 x1792 201 Shortcut Layer: 193 202 conv 192 1 x 1 / 1 3 x 3 x1792 -> 3 x 3 x 192 203 route 201 204 conv 192 1 x 1 / 1 3 x 3 x1792 -> 3 x 3 x 192 205 conv 192 3 x 3 / 1 3 x 3 x 192 -> 3 x 3 x 192 206 conv 192 3 x 3 / 1 3 x 3 x 192 -> 3 x 3 x 192 207 route 202 206 208 conv 1792 1 x 1 / 1 3 x 3 x 384 -> 3 x 3 x1792 209 Shortcut Layer: 201 210 avg 3 x 3 x1792 -> 1792 Loading weights from weights/facenet.weights...Done! Segmentation fault (core dumped) I am very new to the peogramming i dont know how to solve this issuse PC specification intell I3 7th gen 2.7 GHz dual core nvidia geforce 940mx 2gb Dedicated VRAM 4gb DDR4 RAM ubuntu 18.04 os

@lincolnhard can you help please !