run ./yolov7 error

[CachCheng]

detail | 详细描述 | 詳細な説明

find_blob_index_by_name 288 failed Try ex.extract("output", out0); find_blob_index_by_name 302 failed Try ex.extract("output", out0);

[emreaniloguz]

Can you share your code, and .param file?

From just this message I can say there is something with conversion for the find_blob_index_by_name fails (maybe you can try to simplify the model),

also for the ex.extract part, you should edit your code according to the error, I mean,

instead of,

ex.extract("your_string",out);

you should try,

ex.extract("output",out)

[CachCheng]

// stride 16 { ncnn::Mat out;

    ex.extract("288", out);

    ncnn::Mat anchors(6);
    anchors[0] = 36.f;
    anchors[1] = 75.f;
    anchors[2] = 76.f;
    anchors[3] = 55.f;
    anchors[4] = 72.f;
    anchors[5] = 146.f;

    std::vector<Object> objects16;
    generate_proposals(anchors, 16, in_pad, out, prob_threshold, objects16);

    proposals.insert(proposals.end(), objects16.begin(), objects16.end());
}

// stride 32
{
    ncnn::Mat out;

    ex.extract("302", out);

    ncnn::Mat anchors(6);
    anchors[0] = 142.f;
    anchors[1] = 110.f;
    anchors[2] = 192.f;
    anchors[3] = 243.f;
    anchors[4] = 459.f;
    anchors[5] = 401.f;

    std::vector<Object> objects32;
    generate_proposals(anchors, 32, in_pad, out, prob_threshold, objects32);

    proposals.insert(proposals.end(), objects32.begin(), objects32.end());
}

[CachCheng]

7767517 147 187 Input images 0 1 images MemoryData 285 0 1 285 MemoryData 289 0 1 289 MemoryData 325 0 1 325 MemoryData 329 0 1 329 MemoryData 365 0 1 365 MemoryData 369 0 1 369 Convolution Conv_0 1 1 images 120 0=32 1=3 3=2 4=1 5=1 6=864 9=2 -23310=1,1.000000e-01 Convolution Conv_2 1 1 120 122 0=64 1=3 3=2 4=1 5=1 6=18432 9=2 -23310=1,1.000000e-01 Split splitncnn_0 1 2 122 122_splitncnn_0 122_splitncnn_1 Convolution Conv_4 1 1 122_splitncnn_1 124 0=32 1=1 5=1 6=2048 9=2 -23310=1,1.000000e-01 Convolution Conv_6 1 1 122_splitncnn_0 126 0=32 1=1 5=1 6=2048 9=2 -23310=1,1.000000e-01 Split splitncnn_1 1 2 126 126_splitncnn_0 126_splitncnn_1 Convolution Conv_8 1 1 126_splitncnn_1 128 0=32 1=3 4=1 5=1 6=9216 9=2 -23310=1,1.000000e-01 Split splitncnn_2 1 2 128 128_splitncnn_0 128_splitncnn_1 Convolution Conv_10 1 1 128_splitncnn_1 130 0=32 1=3 4=1 5=1 6=9216 9=2 -23310=1,1.000000e-01 Concat Concat_12 4 1 130 128_splitncnn_0 126_splitncnn_0 124 131 Convolution Conv_13 1 1 131 133 0=64 1=1 5=1 6=8192 9=2 -23310=1,1.000000e-01 Pooling MaxPool_15 1 1 133 134 1=2 2=2 5=1 Split splitncnn_3 1 2 134 134_splitncnn_0 134_splitncnn_1 Convolution Conv_16 1 1 134_splitncnn_1 136 0=64 1=1 5=1 6=4096 9=2 -23310=1,1.000000e-01 Convolution Conv_18 1 1 134_splitncnn_0 138 0=64 1=1 5=1 6=4096 9=2 -23310=1,1.000000e-01 Split splitncnn_4 1 2 138 138_splitncnn_0 138_splitncnn_1 Convolution Conv_20 1 1 138_splitncnn_1 140 0=64 1=3 4=1 5=1 6=36864 9=2 -23310=1,1.000000e-01 Split splitncnn_5 1 2 140 140_splitncnn_0 140_splitncnn_1 Convolution Conv_22 1 1 140_splitncnn_1 142 0=64 1=3 4=1 5=1 6=36864 9=2 -23310=1,1.000000e-01 Concat Concat_24 4 1 142 140_splitncnn_0 138_splitncnn_0 136 143 Convolution Conv_25 1 1 143 145 0=128 1=1 5=1 6=32768 9=2 -23310=1,1.000000e-01 Split splitncnn_6 1 2 145 145_splitncnn_0 145_splitncnn_1 Pooling MaxPool_27 1 1 145_splitncnn_1 146 1=2 2=2 5=1 Split splitncnn_7 1 2 146 146_splitncnn_0 146_splitncnn_1 Convolution Conv_28 1 1 146_splitncnn_1 148 0=128 1=1 5=1 6=16384 9=2 -23310=1,1.000000e-01 Convolution Conv_30 1 1 146_splitncnn_0 150 0=128 1=1 5=1 6=16384 9=2 -23310=1,1.000000e-01 Split splitncnn_8 1 2 150 150_splitncnn_0 150_splitncnn_1 Convolution Conv_32 1 1 150_splitncnn_1 152 0=128 1=3 4=1 5=1 6=147456 9=2 -23310=1,1.000000e-01 Split splitncnn_9 1 2 152 152_splitncnn_0 152_splitncnn_1 Convolution Conv_34 1 1 152_splitncnn_1 154 0=128 1=3 4=1 5=1 6=147456 9=2 -23310=1,1.000000e-01 Concat Concat_36 4 1 154 152_splitncnn_0 150_splitncnn_0 148 155 Convolution Conv_37 1 1 155 157 0=256 1=1 5=1 6=131072 9=2 -23310=1,1.000000e-01 Split splitncnn_10 1 2 157 157_splitncnn_0 157_splitncnn_1 Pooling MaxPool_39 1 1 157_splitncnn_1 158 1=2 2=2 5=1 Split splitncnn_11 1 2 158 158_splitncnn_0 158_splitncnn_1 Convolution Conv_40 1 1 158_splitncnn_1 160 0=256 1=1 5=1 6=65536 9=2 -23310=1,1.000000e-01 Convolution Conv_42 1 1 158_splitncnn_0 162 0=256 1=1 5=1 6=65536 9=2 -23310=1,1.000000e-01 Split splitncnn_12 1 2 162 162_splitncnn_0 162_splitncnn_1 Convolution Conv_44 1 1 162_splitncnn_1 164 0=256 1=3 4=1 5=1 6=589824 9=2 -23310=1,1.000000e-01 Split splitncnn_13 1 2 164 164_splitncnn_0 164_splitncnn_1 Convolution Conv_46 1 1 164_splitncnn_1 166 0=256 1=3 4=1 5=1 6=589824 9=2 -23310=1,1.000000e-01 Concat Concat_48 4 1 166 164_splitncnn_0 162_splitncnn_0 160 167 Convolution Conv_49 1 1 167 169 0=512 1=1 5=1 6=524288 9=2 -23310=1,1.000000e-01 Split splitncnn_14 1 2 169 169_splitncnn_0 169_splitncnn_1 Convolution Conv_51 1 1 169_splitncnn_1 171 0=256 1=1 5=1 6=131072 9=2 -23310=1,1.000000e-01 Convolution Conv_53 1 1 169_splitncnn_0 173 0=256 1=1 5=1 6=131072 9=2 -23310=1,1.000000e-01 Split splitncnn_15 1 4 173 173_splitncnn_0 173_splitncnn_1 173_splitncnn_2 173_splitncnn_3 Pooling MaxPool_55 1 1 173_splitncnn_3 174 1=5 3=2 5=1 Pooling MaxPool_56 1 1 173_splitncnn_2 175 1=9 3=4 5=1 Pooling MaxPool_57 1 1 173_splitncnn_1 176 1=13 3=6 5=1 Concat Concat_58 4 1 176 175 174 173_splitncnn_0 177 Convolution Conv_59 1 1 177 179 0=256 1=1 5=1 6=262144 9=2 -23310=1,1.000000e-01 Concat Concat_61 2 1 179 171 180 Convolution Conv_62 1 1 180 182 0=256 1=1 5=1 6=131072 9=2 -23310=1,1.000000e-01 Split splitncnn_16 1 2 182 182_splitncnn_0 182_splitncnn_1 Convolution Conv_64 1 1 182_splitncnn_1 184 0=128 1=1 5=1 6=32768 9=2 -23310=1,1.000000e-01 Interp Resize_67 1 1 184 189 0=1 1=2.000000e+00 2=2.000000e+00 Convolution Conv_68 1 1 157_splitncnn_0 191 0=128 1=1 5=1 6=32768 9=2 -23310=1,1.000000e-01 Concat Concat_70 2 1 191 189 192 Split splitncnn_17 1 2 192 192_splitncnn_0 192_splitncnn_1 Convolution Conv_71 1 1 192_splitncnn_1 194 0=64 1=1 5=1 6=16384 9=2 -23310=1,1.000000e-01 Convolution Conv_73 1 1 192_splitncnn_0 196 0=64 1=1 5=1 6=16384 9=2 -23310=1,1.000000e-01 Split splitncnn_18 1 2 196 196_splitncnn_0 196_splitncnn_1 Convolution Conv_75 1 1 196_splitncnn_1 198 0=64 1=3 4=1 5=1 6=36864 9=2 -23310=1,1.000000e-01 Split splitncnn_19 1 2 198 198_splitncnn_0 198_splitncnn_1 Convolution Conv_77 1 1 198_splitncnn_1 200 0=64 1=3 4=1 5=1 6=36864 9=2 -23310=1,1.000000e-01 Concat Concat_79 4 1 200 198_splitncnn_0 196_splitncnn_0 194 201 Convolution Conv_80 1 1 201 203 0=128 1=1 5=1 6=32768 9=2 -23310=1,1.000000e-01 Split splitncnn_20 1 2 203 203_splitncnn_0 203_splitncnn_1 Convolution Conv_82 1 1 203_splitncnn_1 205 0=64 1=1 5=1 6=8192 9=2 -23310=1,1.000000e-01 Interp Resize_85 1 1 205 210 0=1 1=2.000000e+00 2=2.000000e+00 Convolution Conv_86 1 1 145_splitncnn_0 212 0=64 1=1 5=1 6=8192 9=2 -23310=1,1.000000e-01 Concat Concat_88 2 1 212 210 213 Split splitncnn_21 1 2 213 213_splitncnn_0 213_splitncnn_1 Convolution Conv_89 1 1 213_splitncnn_1 215 0=32 1=1 5=1 6=4096 9=2 -23310=1,1.000000e-01 Convolution Conv_91 1 1 213_splitncnn_0 217 0=32 1=1 5=1 6=4096 9=2 -23310=1,1.000000e-01 Split splitncnn_22 1 2 217 217_splitncnn_0 217_splitncnn_1 Convolution Conv_93 1 1 217_splitncnn_1 219 0=32 1=3 4=1 5=1 6=9216 9=2 -23310=1,1.000000e-01 Split splitncnn_23 1 2 219 219_splitncnn_0 219_splitncnn_1 Convolution Conv_95 1 1 219_splitncnn_1 221 0=32 1=3 4=1 5=1 6=9216 9=2 -23310=1,1.000000e-01 Concat Concat_97 4 1 221 219_splitncnn_0 217_splitncnn_0 215 222 Convolution Conv_98 1 1 222 224 0=64 1=1 5=1 6=8192 9=2 -23310=1,1.000000e-01 Split splitncnn_24 1 2 224 224_splitncnn_0 224_splitncnn_1 Convolution Conv_100 1 1 224_splitncnn_1 226 0=128 1=3 3=2 4=1 5=1 6=73728 9=2 -23310=1,1.000000e-01 Concat Concat_102 2 1 226 203_splitncnn_0 227 Split splitncnn_25 1 2 227 227_splitncnn_0 227_splitncnn_1 Convolution Conv_103 1 1 227_splitncnn_1 229 0=64 1=1 5=1 6=16384 9=2 -23310=1,1.000000e-01 Convolution Conv_105 1 1 227_splitncnn_0 231 0=64 1=1 5=1 6=16384 9=2 -23310=1,1.000000e-01 Split splitncnn_26 1 2 231 231_splitncnn_0 231_splitncnn_1 Convolution Conv_107 1 1 231_splitncnn_1 233 0=64 1=3 4=1 5=1 6=36864 9=2 -23310=1,1.000000e-01 Split splitncnn_27 1 2 233 233_splitncnn_0 233_splitncnn_1 Convolution Conv_109 1 1 233_splitncnn_1 235 0=64 1=3 4=1 5=1 6=36864 9=2 -23310=1,1.000000e-01 Concat Concat_111 4 1 235 233_splitncnn_0 231_splitncnn_0 229 236 Convolution Conv_112 1 1 236 238 0=128 1=1 5=1 6=32768 9=2 -23310=1,1.000000e-01 Split splitncnn_28 1 2 238 238_splitncnn_0 238_splitncnn_1 Convolution Conv_114 1 1 238_splitncnn_1 240 0=256 1=3 3=2 4=1 5=1 6=294912 9=2 -23310=1,1.000000e-01 Concat Concat_116 2 1 240 182_splitncnn_0 241 Split splitncnn_29 1 2 241 241_splitncnn_0 241_splitncnn_1 Convolution Conv_117 1 1 241_splitncnn_1 243 0=128 1=1 5=1 6=65536 9=2 -23310=1,1.000000e-01 Convolution Conv_119 1 1 241_splitncnn_0 245 0=128 1=1 5=1 6=65536 9=2 -23310=1,1.000000e-01 Split splitncnn_30 1 2 245 245_splitncnn_0 245_splitncnn_1 Convolution Conv_121 1 1 245_splitncnn_1 247 0=128 1=3 4=1 5=1 6=147456 9=2 -23310=1,1.000000e-01 Split splitncnn_31 1 2 247 247_splitncnn_0 247_splitncnn_1 Convolution Conv_123 1 1 247_splitncnn_1 249 0=128 1=3 4=1 5=1 6=147456 9=2 -23310=1,1.000000e-01 Concat Concat_125 4 1 249 247_splitncnn_0 245_splitncnn_0 243 250 Convolution Conv_126 1 1 250 252 0=256 1=1 5=1 6=131072 9=2 -23310=1,1.000000e-01 Convolution Conv_128 1 1 224_splitncnn_0 254 0=128 1=3 4=1 5=1 6=73728 9=2 -23310=1,1.000000e-01 Convolution Conv_130 1 1 238_splitncnn_0 256 0=256 1=3 4=1 5=1 6=294912 9=2 -23310=1,1.000000e-01 Convolution Conv_132 1 1 252 258 0=512 1=3 4=1 5=1 6=1179648 9=2 -23310=1,1.000000e-01 Convolution Conv_134 1 1 254 259 0=255 1=1 5=1 6=32640 Reshape Reshape_148 1 1 259 277 0=6400 1=85 2=3 Permute Transpose_149 1 1 277 278 0=1 Sigmoid Sigmoid_150 1 1 278 279 Slice Split_151 1 3 279 280 281 282 -23300=3,2,2,-233 1=3 Eltwise Add_155 2 1 280 285 286 0=1 -23301=2,1.600000e+01,1.000000e+00 BinaryOp Pow_157 1 1 281 288 0=6 1=1 2=2.000000e+00 BinaryOp Mul_159 2 1 288 289 290 0=2 Concat Concat_160 3 1 286 290 282 291 0=3 Reshape Reshape_163 1 1 291 298 0=85 1=-1 Convolution Conv_164 1 1 256 299 0=255 1=1 5=1 6=65280 Reshape Reshape_178 1 1 299 317 0=1600 1=85 2=3 Permute Transpose_179 1 1 317 318 0=1 Sigmoid Sigmoid_180 1 1 318 319 Slice Split_181 1 3 319 320 321 322 -23300=3,2,2,-233 1=3 Eltwise Add_185 2 1 320 325 326 0=1 -23301=2,3.200000e+01,1.000000e+00 BinaryOp Pow_187 1 1 321 328 0=6 1=1 2=2.000000e+00 BinaryOp Mul_189 2 1 328 329 330 0=2 Concat Concat_190 3 1 326 330 322 331 0=3 Reshape Reshape_193 1 1 331 338 0=85 1=-1 Convolution Conv_194 1 1 258 339 0=255 1=1 5=1 6=130560 Reshape Reshape_208 1 1 339 357 0=400 1=85 2=3 Permute Transpose_209 1 1 357 358 0=1 Sigmoid Sigmoid_210 1 1 358 359 Slice Split_211 1 3 359 360 361 362 -23300=3,2,2,-233 1=3 Eltwise Add_215 2 1 360 365 366 0=1 -23301=2,6.400000e+01,1.000000e+00 BinaryOp Pow_217 1 1 361 368 0=6 1=1 2=2.000000e+00 BinaryOp Mul_219 2 1 368 369 370 0=2 Concat Concat_220 3 1 366 370 362 371 0=3 Reshape Reshape_223 1 1 371 378 0=85 1=-1 Concat Concat_224 3 1 298 338 378 output

[CachCheng]

ex.extract("288", out); ex.extract("302", out);

从上面我的参数文件里面的网络结构，我怎么确认“288”、“302”，这两个层应该是多少呢？

[CachCheng]

I compiled the file in "(https://github.com/Tencent/ncnn/tree/master/examples/yolov7.cpp", and run ./yolov7

get error:

find_blob_index_by_name 288 failed

find_blob_index_by_name 302 failed

[dtiny]

我从pt导出onnx时候已经添加了simplify设置，但是在转ncnn推理后也遇到了同样的问题。请问有知道是什么问题，可以解决吗？