구차니의 잡동사니 모음 :: '2021/01/18 글 목록

'2021/01/18'에 해당되는 글 4건

2021.01.18 오늘자 득템
2021.01.18 tensorflow-lite 모델
2021.01.18 tensorflow-lite minimal.cc 실행
2021.01.18 bazel on rpi

개소리 왈왈/육아관련 주저리2021. 1. 18. 22:34

오늘자 득템

오디오의 날이군 ㅋㅋ

필립스 사운드 바

입력 소스 변경 버튼 불량, 스피커 좌우가 없는줄 알았는데

좌우가 조립된 채로 저렇게 긴~ 거란거(위에 TV는 55인치)

[링크 : http://blog.naver.com/dutni72/120194655008]

소니 미니 콤포?

아내의 대만족 ㅋ FM도 나름 잘 나오고!!

그런데 티비 옆으로 옮기니 안나온다. 본체 위에 핸드폰 올려놨더니 FM이 잘 안잡히던데 옆에 공유기 있어서 그런가?

[링크 : http://www.sony.co.kr/electronics/support/product/cmt-eh25/manuals]

저작자표시

'개소리 왈왈 > 육아관련 주저리' 카테고리의 다른 글

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UHD 프로그램이 별로 없네 (0)	2021.01.17
1인 사우나를 샀다 그리고 핸드폰을 빼앗겼다 (0)	2021.01.15
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Posted by 구차니

프로그램 사용/yolo_tensorflow2021. 1. 18. 18:25

tensorflow-lite 모델

흐음.. classification과 object-detection의 차이를 모르겠네..

아무튼 classification 쪽에 만들어진 model이 꽤 있으니 이걸 이용하면 될 듯.

[링크 : https://tfhub.dev/s?deployment-format=lite&module-type=image-classification]

[링크 : https://tfhub.dev/s?deployment-format=lite&module-type=image-object-detection]

저작자표시

'프로그램 사용 > yolo_tensorflow' 카테고리의 다른 글

tensorflow 객체 탐지 예제 (0)	2021.01.21
tensorflow lite on x86 / label_image (0)	2021.01.20
tensorflow-lite minimal.cc 실행 (0)	2021.01.18
mobileNET/SSD (0)	2021.01.14
caffe (0)	2021.01.14

Posted by 구차니

프로그램 사용/yolo_tensorflow2021. 1. 18. 18:20

tensorflow-lite minimal.cc 실행

+ 2021.01.19

./tensorflow/lite/tools/make/gen/rpi_armv7l/bin 에 빌드된 파일이 존재한다 -_-

왜 이 고생을 했지? ㅠㅠㅠㅠ

./tensorflow/lite/tools/make/build_rpi_lib.sh clean # clean object files
./tensorflow/lite/tools/make/build_rpi_lib.sh -j 16 # run with 16 jobs to leverage more CPU cores
./tensorflow/lite/tools/make/build_rpi_lib.sh label_image # # build label_image binary

[링크 : https://www.tensorflow.org/lite/guide/build_rpi]

---

어찌어찌 겨우겨우 libtensorflow-lite.a 를 생성해서

minimal.cc를 빌드해서 돌려보는데 감동...?까진 아니고

아무튼 텐서플로우 lite 자체는 static 한데, minimal.cc는 static 할 수 없는건 무슨 묘미인가...

$ ldd minimal
        linux-vdso.so.1 (0x7efc0000)
        /usr/lib/arm-linux-gnueabihf/libarmmem-${PLATFORM}.so => /usr/lib/arm-linux-gnueabihf/libarmmem-v7l.so (0x76eef000)
        libpthread.so.0 => /lib/arm-linux-gnueabihf/libpthread.so.0 (0x76ea4000)
        libdl.so.2 => /lib/arm-linux-gnueabihf/libdl.so.2 (0x76e91000)
        libstdc++.so.6 => /lib/arm-linux-gnueabihf/libstdc++.so.6 (0x76d4a000)
        libm.so.6 => /lib/arm-linux-gnueabihf/libm.so.6 (0x76cc8000)
        libgcc_s.so.1 => /lib/arm-linux-gnueabihf/libgcc_s.so.1 (0x76c9b000)
        libc.so.6 => /lib/arm-linux-gnueabihf/libc.so.6 (0x76b4d000)
        /lib/ld-linux-armhf.so.3 (0x76f04000)

~/src/tensorflow_src/tensorflow/lite/examples/minimal $ ./minimal 1.tflite
=== Pre-invoke Interpreter State ===
Interpreter has 184 tensors and 64 nodes
Inputs: 175
Outputs: 167 168 169 170

Tensor   0 BoxPredictor_0/BoxEncodingPredictor/BiasAdd kTfLiteUInt8  kTfLiteArenaRw       4332 bytes ( 0.0 MB)  1 19 19 12
Tensor   1 BoxPredictor_0/BoxEncodingPredictor/Conv2D_bias kTfLiteInt32   kTfLiteMmapRo         48 bytes ( 0.0 MB)  12
Tensor   2 BoxPredictor_0/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       4608 bytes ( 0.0 MB)  12 1 1 384
Tensor   3 BoxPredictor_0/ClassPredictor/BiasAdd kTfLiteUInt8  kTfLiteArenaRw      98553 bytes ( 0.1 MB)  1 19 19 273
Tensor   4 BoxPredictor_0/ClassPredictor/Conv2D_bias kTfLiteInt32   kTfLiteMmapRo       1092 bytes ( 0.0 MB)  273
Tensor   5 BoxPredictor_0/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     104832 bytes ( 0.1 MB)  273 1 1 384
Tensor   6 BoxPredictor_0/Reshape kTfLiteUInt8  kTfLiteArenaRw       4332 bytes ( 0.0 MB)  1 1083 1 4
Tensor   7 BoxPredictor_0/Reshape_1 kTfLiteUInt8  kTfLiteArenaRw      98553 bytes ( 0.1 MB)  1 1083 91
Tensor   8 BoxPredictor_0/stack kTfLiteInt32   kTfLiteMmapRo         16 bytes ( 0.0 MB)  4
Tensor   9 BoxPredictor_0/stack_1 kTfLiteInt32   kTfLiteMmapRo         12 bytes ( 0.0 MB)  3
Tensor  10 BoxPredictor_1/BoxEncodingPredictor/BiasAdd kTfLiteUInt8  kTfLiteArenaRw       2400 bytes ( 0.0 MB)  1 10 10 24
Tensor  11 BoxPredictor_1/BoxEncodingPredictor/Conv2D_bias kTfLiteInt32   kTfLiteMmapRo         96 bytes ( 0.0 MB)  24
Tensor  12 BoxPredictor_1/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo      18432 bytes ( 0.0 MB)  24 1 1 768
Tensor  13 BoxPredictor_1/ClassPredictor/BiasAdd kTfLiteUInt8  kTfLiteArenaRw      54600 bytes ( 0.1 MB)  1 10 10 546
Tensor  14 BoxPredictor_1/ClassPredictor/Conv2D_bias kTfLiteInt32   kTfLiteMmapRo       2184 bytes ( 0.0 MB)  546
Tensor  15 BoxPredictor_1/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     419328 bytes ( 0.4 MB)  546 1 1 768
Tensor  16 BoxPredictor_1/Reshape kTfLiteUInt8  kTfLiteArenaRw       2400 bytes ( 0.0 MB)  1 600 1 4
Tensor  17 BoxPredictor_1/Reshape_1 kTfLiteUInt8  kTfLiteArenaRw      54600 bytes ( 0.1 MB)  1 600 91
Tensor  18 BoxPredictor_1/stack kTfLiteInt32   kTfLiteMmapRo         16 bytes ( 0.0 MB)  4
Tensor  19 BoxPredictor_1/stack_1 kTfLiteInt32   kTfLiteMmapRo         12 bytes ( 0.0 MB)  3
Tensor  20 BoxPredictor_2/BoxEncodingPredictor/BiasAdd kTfLiteUInt8  kTfLiteArenaRw        600 bytes ( 0.0 MB)  1 5 5 24
Tensor  21 BoxPredictor_2/BoxEncodingPredictor/Conv2D_bias kTfLiteInt32   kTfLiteMmapRo         96 bytes ( 0.0 MB)  24
Tensor  22 BoxPredictor_2/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       9216 bytes ( 0.0 MB)  24 1 1 384
Tensor  23 BoxPredictor_2/ClassPredictor/BiasAdd kTfLiteUInt8  kTfLiteArenaRw      13650 bytes ( 0.0 MB)  1 5 5 546
Tensor  24 BoxPredictor_2/ClassPredictor/Conv2D_bias kTfLiteInt32   kTfLiteMmapRo       2184 bytes ( 0.0 MB)  546
Tensor  25 BoxPredictor_2/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     209664 bytes ( 0.2 MB)  546 1 1 384
Tensor  26 BoxPredictor_2/Reshape kTfLiteUInt8  kTfLiteArenaRw        600 bytes ( 0.0 MB)  1 150 1 4
Tensor  27 BoxPredictor_2/Reshape_1 kTfLiteUInt8  kTfLiteArenaRw      13650 bytes ( 0.0 MB)  1 150 91
Tensor  28 BoxPredictor_2/stack kTfLiteInt32   kTfLiteMmapRo         16 bytes ( 0.0 MB)  4
Tensor  29 BoxPredictor_2/stack_1 kTfLiteInt32   kTfLiteMmapRo         12 bytes ( 0.0 MB)  3
Tensor  30 BoxPredictor_3/BoxEncodingPredictor/BiasAdd kTfLiteUInt8  kTfLiteArenaRw        216 bytes ( 0.0 MB)  1 3 3 24
Tensor  31 BoxPredictor_3/BoxEncodingPredictor/Conv2D_bias kTfLiteInt32   kTfLiteMmapRo         96 bytes ( 0.0 MB)  24
Tensor  32 BoxPredictor_3/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       4608 bytes ( 0.0 MB)  24 1 1 192
Tensor  33 BoxPredictor_3/ClassPredictor/BiasAdd kTfLiteUInt8  kTfLiteArenaRw       4914 bytes ( 0.0 MB)  1 3 3 546
Tensor  34 BoxPredictor_3/ClassPredictor/Conv2D_bias kTfLiteInt32   kTfLiteMmapRo       2184 bytes ( 0.0 MB)  546
Tensor  35 BoxPredictor_3/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     104832 bytes ( 0.1 MB)  546 1 1 192
Tensor  36 BoxPredictor_3/Reshape kTfLiteUInt8  kTfLiteArenaRw        216 bytes ( 0.0 MB)  1 54 1 4
Tensor  37 BoxPredictor_3/Reshape_1 kTfLiteUInt8  kTfLiteArenaRw       4914 bytes ( 0.0 MB)  1 54 91
Tensor  38 BoxPredictor_3/stack kTfLiteInt32   kTfLiteMmapRo         16 bytes ( 0.0 MB)  4
Tensor  39 BoxPredictor_3/stack_1 kTfLiteInt32   kTfLiteMmapRo         12 bytes ( 0.0 MB)  3
Tensor  40 BoxPredictor_4/BoxEncodingPredictor/BiasAdd kTfLiteUInt8  kTfLiteArenaRw         96 bytes ( 0.0 MB)  1 2 2 24
Tensor  41 BoxPredictor_4/BoxEncodingPredictor/Conv2D_bias kTfLiteInt32   kTfLiteMmapRo         96 bytes ( 0.0 MB)  24
Tensor  42 BoxPredictor_4/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       4608 bytes ( 0.0 MB)  24 1 1 192
Tensor  43 BoxPredictor_4/ClassPredictor/BiasAdd kTfLiteUInt8  kTfLiteArenaRw       2184 bytes ( 0.0 MB)  1 2 2 546
Tensor  44 BoxPredictor_4/ClassPredictor/Conv2D_bias kTfLiteInt32   kTfLiteMmapRo       2184 bytes ( 0.0 MB)  546
Tensor  45 BoxPredictor_4/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     104832 bytes ( 0.1 MB)  546 1 1 192
Tensor  46 BoxPredictor_4/Reshape kTfLiteUInt8  kTfLiteArenaRw         96 bytes ( 0.0 MB)  1 24 1 4
Tensor  47 BoxPredictor_4/Reshape_1 kTfLiteUInt8  kTfLiteArenaRw       2184 bytes ( 0.0 MB)  1 24 91
Tensor  48 BoxPredictor_4/stack kTfLiteInt32   kTfLiteMmapRo         16 bytes ( 0.0 MB)  4
Tensor  49 BoxPredictor_4/stack_1 kTfLiteInt32   kTfLiteMmapRo         12 bytes ( 0.0 MB)  3
Tensor  50 BoxPredictor_5/BoxEncodingPredictor/BiasAdd kTfLiteUInt8  kTfLiteArenaRw         24 bytes ( 0.0 MB)  1 1 1 24
Tensor  51 BoxPredictor_5/BoxEncodingPredictor/Conv2D_bias kTfLiteInt32   kTfLiteMmapRo         96 bytes ( 0.0 MB)  24
Tensor  52 BoxPredictor_5/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       2304 bytes ( 0.0 MB)  24 1 1 96
Tensor  53 BoxPredictor_5/ClassPredictor/BiasAdd kTfLiteUInt8  kTfLiteArenaRw        546 bytes ( 0.0 MB)  1 1 1 546
Tensor  54 BoxPredictor_5/ClassPredictor/Conv2D_bias kTfLiteInt32   kTfLiteMmapRo       2184 bytes ( 0.0 MB)  546
Tensor  55 BoxPredictor_5/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo      52416 bytes ( 0.0 MB)  546 1 1 96
Tensor  56 BoxPredictor_5/Reshape kTfLiteUInt8  kTfLiteArenaRw         24 bytes ( 0.0 MB)  1 6 1 4
Tensor  57 BoxPredictor_5/Reshape_1 kTfLiteUInt8  kTfLiteArenaRw        546 bytes ( 0.0 MB)  1 6 91
Tensor  58 BoxPredictor_5/stack kTfLiteInt32   kTfLiteMmapRo         16 bytes ( 0.0 MB)  4
Tensor  59 BoxPredictor_5/stack_1 kTfLiteInt32   kTfLiteMmapRo         12 bytes ( 0.0 MB)  3
Tensor  60 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo        768 bytes ( 0.0 MB)  192
Tensor  61 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/Relu6 kTfLiteUInt8  kTfLiteArenaRw      19200 bytes ( 0.0 MB)  1 10 10 192
Tensor  62 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     147456 bytes ( 0.1 MB)  192 1 1 768
Tensor  63 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo        384 bytes ( 0.0 MB)  96
Tensor  64 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/Relu6 kTfLiteUInt8  kTfLiteArenaRw       2400 bytes ( 0.0 MB)  1 5 5 96
Tensor  65 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo      36864 bytes ( 0.0 MB)  96 1 1 384
Tensor  66 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo        384 bytes ( 0.0 MB)  96
Tensor  67 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/Relu6 kTfLiteUInt8  kTfLiteArenaRw        864 bytes ( 0.0 MB)  1 3 3 96
Tensor  68 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo      18432 bytes ( 0.0 MB)  96 1 1 192
Tensor  69 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo        192 bytes ( 0.0 MB)  48
Tensor  70 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/Relu6 kTfLiteUInt8  kTfLiteArenaRw        192 bytes ( 0.0 MB)  1 2 2 48
Tensor  71 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       9216 bytes ( 0.0 MB)  48 1 1 192
Tensor  72 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor  73 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/Relu6 kTfLiteUInt8  kTfLiteArenaRw       9600 bytes ( 0.0 MB)  1 5 5 384
Tensor  74 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     663552 bytes ( 0.6 MB)  384 3 3 192
Tensor  75 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo        768 bytes ( 0.0 MB)  192
Tensor  76 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/Relu6 kTfLiteUInt8  kTfLiteArenaRw       1728 bytes ( 0.0 MB)  1 3 3 192
Tensor  77 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     165888 bytes ( 0.2 MB)  192 3 3 96
Tensor  78 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo        768 bytes ( 0.0 MB)  192
Tensor  79 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/Relu6 kTfLiteUInt8  kTfLiteArenaRw        768 bytes ( 0.0 MB)  1 2 2 192
Tensor  80 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     165888 bytes ( 0.2 MB)  192 3 3 96
Tensor  81 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo        384 bytes ( 0.0 MB)  96
Tensor  82 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/Relu6 kTfLiteUInt8  kTfLiteArenaRw         96 bytes ( 0.0 MB)  1 1 1 96
Tensor  83 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo      41472 bytes ( 0.0 MB)  96 3 3 48
Tensor  84 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo         96 bytes ( 0.0 MB)  24
Tensor  85 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Relu6 kTfLiteUInt8  kTfLiteArenaRw     540000 bytes ( 0.5 MB)  1 150 150 24
Tensor  86 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo        648 bytes ( 0.0 MB)  24 3 3 3
Tensor  87 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     138624 bytes ( 0.1 MB)  1 19 19 384
Tensor  88 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor  89 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       3456 bytes ( 0.0 MB)  1 3 3 384
Tensor  90 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor  91 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     138624 bytes ( 0.1 MB)  1 19 19 384
Tensor  92 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     147456 bytes ( 0.1 MB)  384 1 1 384
Tensor  93 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     138624 bytes ( 0.1 MB)  1 19 19 384
Tensor  94 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor  95 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       3456 bytes ( 0.0 MB)  1 3 3 384
Tensor  96 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor  97 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     138624 bytes ( 0.1 MB)  1 19 19 384
Tensor  98 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     147456 bytes ( 0.1 MB)  384 1 1 384
Tensor  99 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw      38400 bytes ( 0.0 MB)  1 10 10 384
Tensor 100 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor 101 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       3456 bytes ( 0.0 MB)  1 3 3 384
Tensor 102 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo       3072 bytes ( 0.0 MB)  768
Tensor 103 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw      76800 bytes ( 0.1 MB)  1 10 10 768
Tensor 104 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     294912 bytes ( 0.3 MB)  768 1 1 384
Tensor 105 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw      76800 bytes ( 0.1 MB)  1 10 10 768
Tensor 106 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo       3072 bytes ( 0.0 MB)  768
Tensor 107 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       6912 bytes ( 0.0 MB)  1 3 3 768
Tensor 108 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo       3072 bytes ( 0.0 MB)  768
Tensor 109 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw      76800 bytes ( 0.1 MB)  1 10 10 768
Tensor 110 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     589824 bytes ( 0.6 MB)  768 1 1 768
Tensor 111 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     540000 bytes ( 0.5 MB)  1 150 150 24
Tensor 112 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo         96 bytes ( 0.0 MB)  24
Tensor 113 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo        216 bytes ( 0.0 MB)  1 3 3 24
Tensor 114 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo        192 bytes ( 0.0 MB)  48
Tensor 115 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw    1080000 bytes ( 1.0 MB)  1 150 150 48
Tensor 116 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       1152 bytes ( 0.0 MB)  48 1 1 24
Tensor 117 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     270000 bytes ( 0.3 MB)  1 75 75 48
Tensor 118 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo        192 bytes ( 0.0 MB)  48
Tensor 119 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo        432 bytes ( 0.0 MB)  1 3 3 48
Tensor 120 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo        384 bytes ( 0.0 MB)  96
Tensor 121 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     540000 bytes ( 0.5 MB)  1 75 75 96
Tensor 122 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       4608 bytes ( 0.0 MB)  96 1 1 48
Tensor 123 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     540000 bytes ( 0.5 MB)  1 75 75 96
Tensor 124 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo        384 bytes ( 0.0 MB)  96
Tensor 125 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo        864 bytes ( 0.0 MB)  1 3 3 96
Tensor 126 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo        384 bytes ( 0.0 MB)  96
Tensor 127 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     540000 bytes ( 0.5 MB)  1 75 75 96
Tensor 128 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       9216 bytes ( 0.0 MB)  96 1 1 96
Tensor 129 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     138624 bytes ( 0.1 MB)  1 38 38 96
Tensor 130 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo        384 bytes ( 0.0 MB)  96
Tensor 131 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo        864 bytes ( 0.0 MB)  1 3 3 96
Tensor 132 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo        768 bytes ( 0.0 MB)  192
Tensor 133 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     277248 bytes ( 0.3 MB)  1 38 38 192
Tensor 134 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo      18432 bytes ( 0.0 MB)  192 1 1 96
Tensor 135 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     277248 bytes ( 0.3 MB)  1 38 38 192
Tensor 136 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo        768 bytes ( 0.0 MB)  192
Tensor 137 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       1728 bytes ( 0.0 MB)  1 3 3 192
Tensor 138 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo        768 bytes ( 0.0 MB)  192
Tensor 139 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     277248 bytes ( 0.3 MB)  1 38 38 192
Tensor 140 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo      36864 bytes ( 0.0 MB)  192 1 1 192
Tensor 141 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw      69312 bytes ( 0.1 MB)  1 19 19 192
Tensor 142 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo        768 bytes ( 0.0 MB)  192
Tensor 143 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       1728 bytes ( 0.0 MB)  1 3 3 192
Tensor 144 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor 145 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     138624 bytes ( 0.1 MB)  1 19 19 384
Tensor 146 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo      73728 bytes ( 0.1 MB)  384 1 1 192
Tensor 147 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     138624 bytes ( 0.1 MB)  1 19 19 384
Tensor 148 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor 149 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       3456 bytes ( 0.0 MB)  1 3 3 384
Tensor 150 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor 151 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     138624 bytes ( 0.1 MB)  1 19 19 384
Tensor 152 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     147456 bytes ( 0.1 MB)  384 1 1 384
Tensor 153 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     138624 bytes ( 0.1 MB)  1 19 19 384
Tensor 154 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor 155 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       3456 bytes ( 0.0 MB)  1 3 3 384
Tensor 156 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor 157 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     138624 bytes ( 0.1 MB)  1 19 19 384
Tensor 158 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     147456 bytes ( 0.1 MB)  384 1 1 384
Tensor 159 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     138624 bytes ( 0.1 MB)  1 19 19 384
Tensor 160 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor 161 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       3456 bytes ( 0.0 MB)  1 3 3 384
Tensor 162 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor 163 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     138624 bytes ( 0.1 MB)  1 19 19 384
Tensor 164 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     147456 bytes ( 0.1 MB)  384 1 1 384
Tensor 165 Squeeze              kTfLiteUInt8  kTfLiteArenaRw       7668 bytes ( 0.0 MB)  1 1917 4
Tensor 166 Squeeze_shape        kTfLiteInt32   kTfLiteMmapRo         12 bytes ( 0.0 MB)  3
Tensor 167 TFLite_Detection_PostProcess kTfLiteFloat32  kTfLiteArenaRw        160 bytes ( 0.0 MB)  1 10 4
Tensor 168 TFLite_Detection_PostProcess:1 kTfLiteFloat32  kTfLiteArenaRw         40 bytes ( 0.0 MB)  1 10
Tensor 169 TFLite_Detection_PostProcess:2 kTfLiteFloat32  kTfLiteArenaRw         40 bytes ( 0.0 MB)  1 10
Tensor 170 TFLite_Detection_PostProcess:3 kTfLiteFloat32  kTfLiteArenaRw          4 bytes ( 0.0 MB)  1
Tensor 171 anchors              kTfLiteUInt8   kTfLiteMmapRo       7668 bytes ( 0.0 MB)  1917 4
Tensor 172 concat               kTfLiteUInt8  kTfLiteArenaRw       7668 bytes ( 0.0 MB)  1 1917 1 4
Tensor 173 concat_1             kTfLiteUInt8  kTfLiteArenaRw     174447 bytes ( 0.2 MB)  1 1917 91
Tensor 174 convert_scores       kTfLiteUInt8  kTfLiteArenaRw     174447 bytes ( 0.2 MB)  1 1917 91
Tensor 175 normalized_input_image_tensor kTfLiteUInt8  kTfLiteArenaRw     270000 bytes ( 0.3 MB)  1 300 300 3
Tensor 176 (null)               kTfLiteFloat32  kTfLiteArenaRw      30672 bytes ( 0.0 MB)  1917 4
Tensor 177 (null)               kTfLiteFloat32  kTfLiteArenaRw     697788 bytes ( 0.7 MB)  1917 91
Tensor 178 (null)               kTfLiteUInt8  kTfLiteArenaRw       1917 bytes ( 0.0 MB)  1917
Tensor 179 (null)               kTfLiteUInt8  kTfLiteArenaRw     607500 bytes ( 0.6 MB)  1 150 150 27
Tensor 180 (null)               kTfLiteUInt8  kTfLiteArenaRw      43200 bytes ( 0.0 MB)  1 5 5 1728
Tensor 181 (null)               kTfLiteUInt8  kTfLiteArenaRw       7776 bytes ( 0.0 MB)  1 3 3 864
Tensor 182 (null)               kTfLiteUInt8  kTfLiteArenaRw       3456 bytes ( 0.0 MB)  1 2 2 864
Tensor 183 (null)               kTfLiteUInt8  kTfLiteArenaRw        432 bytes ( 0.0 MB)  1 1 1 432

Node   0 Operator Builtin Code   3 CONV_2D
  Inputs: 175 86 84
  Outputs: 85
  Temporaries: 179
Node   1 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 85 113 112
  Outputs: 111
Node   2 Operator Builtin Code   3 CONV_2D
  Inputs: 111 116 114
  Outputs: 115
Node   3 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 115 119 118
  Outputs: 117
Node   4 Operator Builtin Code   3 CONV_2D
  Inputs: 117 122 120
  Outputs: 121
Node   5 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 121 125 124
  Outputs: 123
Node   6 Operator Builtin Code   3 CONV_2D
  Inputs: 123 128 126
  Outputs: 127
Node   7 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 127 131 130
  Outputs: 129
Node   8 Operator Builtin Code   3 CONV_2D
  Inputs: 129 134 132
  Outputs: 133
Node   9 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 133 137 136
  Outputs: 135
Node  10 Operator Builtin Code   3 CONV_2D
  Inputs: 135 140 138
  Outputs: 139
Node  11 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 139 143 142
  Outputs: 141
Node  12 Operator Builtin Code   3 CONV_2D
  Inputs: 141 146 144
  Outputs: 145
Node  13 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 145 149 148
  Outputs: 147
Node  14 Operator Builtin Code   3 CONV_2D
  Inputs: 147 152 150
  Outputs: 151
Node  15 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 151 155 154
  Outputs: 153
Node  16 Operator Builtin Code   3 CONV_2D
  Inputs: 153 158 156
  Outputs: 157
Node  17 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 157 161 160
  Outputs: 159
Node  18 Operator Builtin Code   3 CONV_2D
  Inputs: 159 164 162
  Outputs: 163
Node  19 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 163 89 88
  Outputs: 87
Node  20 Operator Builtin Code   3 CONV_2D
  Inputs: 87 92 90
  Outputs: 91
Node  21 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 91 95 94
  Outputs: 93
Node  22 Operator Builtin Code   3 CONV_2D
  Inputs: 93 98 96
  Outputs: 97
Node  23 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 97 101 100
  Outputs: 99
Node  24 Operator Builtin Code   3 CONV_2D
  Inputs: 99 104 102
  Outputs: 103
Node  25 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 103 107 106
  Outputs: 105
Node  26 Operator Builtin Code   3 CONV_2D
  Inputs: 105 110 108
  Outputs: 109
Node  27 Operator Builtin Code   3 CONV_2D
  Inputs: 109 62 60
  Outputs: 61
Node  28 Operator Builtin Code   3 CONV_2D
  Inputs: 61 74 72
  Outputs: 73
  Temporaries: 180
Node  29 Operator Builtin Code   3 CONV_2D
  Inputs: 73 65 63
  Outputs: 64
Node  30 Operator Builtin Code   3 CONV_2D
  Inputs: 64 77 75
  Outputs: 76
  Temporaries: 181
Node  31 Operator Builtin Code   3 CONV_2D
  Inputs: 76 68 66
  Outputs: 67
Node  32 Operator Builtin Code   3 CONV_2D
  Inputs: 67 80 78
  Outputs: 79
  Temporaries: 182
Node  33 Operator Builtin Code   3 CONV_2D
  Inputs: 79 71 69
  Outputs: 70
Node  34 Operator Builtin Code   3 CONV_2D
  Inputs: 70 83 81
  Outputs: 82
  Temporaries: 183
Node  35 Operator Builtin Code   3 CONV_2D
  Inputs: 97 2 1
  Outputs: 0
Node  36 Operator Builtin Code  22 RESHAPE
  Inputs: 0 8
  Outputs: 6
Node  37 Operator Builtin Code   3 CONV_2D
  Inputs: 97 5 4
  Outputs: 3
Node  38 Operator Builtin Code  22 RESHAPE
  Inputs: 3 9
  Outputs: 7
Node  39 Operator Builtin Code   3 CONV_2D
  Inputs: 109 12 11
  Outputs: 10
Node  40 Operator Builtin Code  22 RESHAPE
  Inputs: 10 18
  Outputs: 16
Node  41 Operator Builtin Code   3 CONV_2D
  Inputs: 109 15 14
  Outputs: 13
Node  42 Operator Builtin Code  22 RESHAPE
  Inputs: 13 19
  Outputs: 17
Node  43 Operator Builtin Code   3 CONV_2D
  Inputs: 73 22 21
  Outputs: 20
Node  44 Operator Builtin Code  22 RESHAPE
  Inputs: 20 28
  Outputs: 26
Node  45 Operator Builtin Code   3 CONV_2D
  Inputs: 73 25 24
  Outputs: 23
Node  46 Operator Builtin Code  22 RESHAPE
  Inputs: 23 29
  Outputs: 27
Node  47 Operator Builtin Code   3 CONV_2D
  Inputs: 76 32 31
  Outputs: 30
Node  48 Operator Builtin Code  22 RESHAPE
  Inputs: 30 38
  Outputs: 36
Node  49 Operator Builtin Code   3 CONV_2D
  Inputs: 76 35 34
  Outputs: 33
Node  50 Operator Builtin Code  22 RESHAPE
  Inputs: 33 39
  Outputs: 37
Node  51 Operator Builtin Code   3 CONV_2D
  Inputs: 79 42 41
  Outputs: 40
Node  52 Operator Builtin Code  22 RESHAPE
  Inputs: 40 48
  Outputs: 46
Node  53 Operator Builtin Code   3 CONV_2D
  Inputs: 79 45 44
  Outputs: 43
Node  54 Operator Builtin Code  22 RESHAPE
  Inputs: 43 49
  Outputs: 47
Node  55 Operator Builtin Code   3 CONV_2D
  Inputs: 82 52 51
  Outputs: 50
Node  56 Operator Builtin Code  22 RESHAPE
  Inputs: 50 58
  Outputs: 56
Node  57 Operator Builtin Code   2 CONCATENATION
  Inputs: 6 16 26 36 46 56
  Outputs: 172
Node  58 Operator Builtin Code  22 RESHAPE
  Inputs: 172 166
  Outputs: 165
Node  59 Operator Builtin Code   3 CONV_2D
  Inputs: 82 55 54
  Outputs: 53
Node  60 Operator Builtin Code  22 RESHAPE
  Inputs: 53 59
  Outputs: 57
Node  61 Operator Builtin Code   2 CONCATENATION
  Inputs: 7 17 27 37 47 57
  Outputs: 173
Node  62 Operator Builtin Code  14 LOGISTIC
  Inputs: 173
  Outputs: 174
Node  63 Operator Custom Name TFLite_Detection_PostProcess
  Inputs: 165 174 171
  Outputs: 167 168 169 170
  Temporaries: 176 177 178


=== Post-invoke Interpreter State ===
Interpreter has 184 tensors and 64 nodes
Inputs: 175
Outputs: 167 168 169 170

Tensor   0 BoxPredictor_0/BoxEncodingPredictor/BiasAdd kTfLiteUInt8  kTfLiteArenaRw       4332 bytes ( 0.0 MB)  1 19 19 12
Tensor   1 BoxPredictor_0/BoxEncodingPredictor/Conv2D_bias kTfLiteInt32   kTfLiteMmapRo         48 bytes ( 0.0 MB)  12
Tensor   2 BoxPredictor_0/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       4608 bytes ( 0.0 MB)  12 1 1 384
Tensor   3 BoxPredictor_0/ClassPredictor/BiasAdd kTfLiteUInt8  kTfLiteArenaRw      98553 bytes ( 0.1 MB)  1 19 19 273
Tensor   4 BoxPredictor_0/ClassPredictor/Conv2D_bias kTfLiteInt32   kTfLiteMmapRo       1092 bytes ( 0.0 MB)  273
Tensor   5 BoxPredictor_0/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     104832 bytes ( 0.1 MB)  273 1 1 384
Tensor   6 BoxPredictor_0/Reshape kTfLiteUInt8  kTfLiteArenaRw       4332 bytes ( 0.0 MB)  1 1083 1 4
Tensor   7 BoxPredictor_0/Reshape_1 kTfLiteUInt8  kTfLiteArenaRw      98553 bytes ( 0.1 MB)  1 1083 91
Tensor   8 BoxPredictor_0/stack kTfLiteInt32   kTfLiteMmapRo         16 bytes ( 0.0 MB)  4
Tensor   9 BoxPredictor_0/stack_1 kTfLiteInt32   kTfLiteMmapRo         12 bytes ( 0.0 MB)  3
Tensor  10 BoxPredictor_1/BoxEncodingPredictor/BiasAdd kTfLiteUInt8  kTfLiteArenaRw       2400 bytes ( 0.0 MB)  1 10 10 24
Tensor  11 BoxPredictor_1/BoxEncodingPredictor/Conv2D_bias kTfLiteInt32   kTfLiteMmapRo         96 bytes ( 0.0 MB)  24
Tensor  12 BoxPredictor_1/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo      18432 bytes ( 0.0 MB)  24 1 1 768
Tensor  13 BoxPredictor_1/ClassPredictor/BiasAdd kTfLiteUInt8  kTfLiteArenaRw      54600 bytes ( 0.1 MB)  1 10 10 546
Tensor  14 BoxPredictor_1/ClassPredictor/Conv2D_bias kTfLiteInt32   kTfLiteMmapRo       2184 bytes ( 0.0 MB)  546
Tensor  15 BoxPredictor_1/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     419328 bytes ( 0.4 MB)  546 1 1 768
Tensor  16 BoxPredictor_1/Reshape kTfLiteUInt8  kTfLiteArenaRw       2400 bytes ( 0.0 MB)  1 600 1 4
Tensor  17 BoxPredictor_1/Reshape_1 kTfLiteUInt8  kTfLiteArenaRw      54600 bytes ( 0.1 MB)  1 600 91
Tensor  18 BoxPredictor_1/stack kTfLiteInt32   kTfLiteMmapRo         16 bytes ( 0.0 MB)  4
Tensor  19 BoxPredictor_1/stack_1 kTfLiteInt32   kTfLiteMmapRo         12 bytes ( 0.0 MB)  3
Tensor  20 BoxPredictor_2/BoxEncodingPredictor/BiasAdd kTfLiteUInt8  kTfLiteArenaRw        600 bytes ( 0.0 MB)  1 5 5 24
Tensor  21 BoxPredictor_2/BoxEncodingPredictor/Conv2D_bias kTfLiteInt32   kTfLiteMmapRo         96 bytes ( 0.0 MB)  24
Tensor  22 BoxPredictor_2/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       9216 bytes ( 0.0 MB)  24 1 1 384
Tensor  23 BoxPredictor_2/ClassPredictor/BiasAdd kTfLiteUInt8  kTfLiteArenaRw      13650 bytes ( 0.0 MB)  1 5 5 546
Tensor  24 BoxPredictor_2/ClassPredictor/Conv2D_bias kTfLiteInt32   kTfLiteMmapRo       2184 bytes ( 0.0 MB)  546
Tensor  25 BoxPredictor_2/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     209664 bytes ( 0.2 MB)  546 1 1 384
Tensor  26 BoxPredictor_2/Reshape kTfLiteUInt8  kTfLiteArenaRw        600 bytes ( 0.0 MB)  1 150 1 4
Tensor  27 BoxPredictor_2/Reshape_1 kTfLiteUInt8  kTfLiteArenaRw      13650 bytes ( 0.0 MB)  1 150 91
Tensor  28 BoxPredictor_2/stack kTfLiteInt32   kTfLiteMmapRo         16 bytes ( 0.0 MB)  4
Tensor  29 BoxPredictor_2/stack_1 kTfLiteInt32   kTfLiteMmapRo         12 bytes ( 0.0 MB)  3
Tensor  30 BoxPredictor_3/BoxEncodingPredictor/BiasAdd kTfLiteUInt8  kTfLiteArenaRw        216 bytes ( 0.0 MB)  1 3 3 24
Tensor  31 BoxPredictor_3/BoxEncodingPredictor/Conv2D_bias kTfLiteInt32   kTfLiteMmapRo         96 bytes ( 0.0 MB)  24
Tensor  32 BoxPredictor_3/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       4608 bytes ( 0.0 MB)  24 1 1 192
Tensor  33 BoxPredictor_3/ClassPredictor/BiasAdd kTfLiteUInt8  kTfLiteArenaRw       4914 bytes ( 0.0 MB)  1 3 3 546
Tensor  34 BoxPredictor_3/ClassPredictor/Conv2D_bias kTfLiteInt32   kTfLiteMmapRo       2184 bytes ( 0.0 MB)  546
Tensor  35 BoxPredictor_3/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     104832 bytes ( 0.1 MB)  546 1 1 192
Tensor  36 BoxPredictor_3/Reshape kTfLiteUInt8  kTfLiteArenaRw        216 bytes ( 0.0 MB)  1 54 1 4
Tensor  37 BoxPredictor_3/Reshape_1 kTfLiteUInt8  kTfLiteArenaRw       4914 bytes ( 0.0 MB)  1 54 91
Tensor  38 BoxPredictor_3/stack kTfLiteInt32   kTfLiteMmapRo         16 bytes ( 0.0 MB)  4
Tensor  39 BoxPredictor_3/stack_1 kTfLiteInt32   kTfLiteMmapRo         12 bytes ( 0.0 MB)  3
Tensor  40 BoxPredictor_4/BoxEncodingPredictor/BiasAdd kTfLiteUInt8  kTfLiteArenaRw         96 bytes ( 0.0 MB)  1 2 2 24
Tensor  41 BoxPredictor_4/BoxEncodingPredictor/Conv2D_bias kTfLiteInt32   kTfLiteMmapRo         96 bytes ( 0.0 MB)  24
Tensor  42 BoxPredictor_4/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       4608 bytes ( 0.0 MB)  24 1 1 192
Tensor  43 BoxPredictor_4/ClassPredictor/BiasAdd kTfLiteUInt8  kTfLiteArenaRw       2184 bytes ( 0.0 MB)  1 2 2 546
Tensor  44 BoxPredictor_4/ClassPredictor/Conv2D_bias kTfLiteInt32   kTfLiteMmapRo       2184 bytes ( 0.0 MB)  546
Tensor  45 BoxPredictor_4/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     104832 bytes ( 0.1 MB)  546 1 1 192
Tensor  46 BoxPredictor_4/Reshape kTfLiteUInt8  kTfLiteArenaRw         96 bytes ( 0.0 MB)  1 24 1 4
Tensor  47 BoxPredictor_4/Reshape_1 kTfLiteUInt8  kTfLiteArenaRw       2184 bytes ( 0.0 MB)  1 24 91
Tensor  48 BoxPredictor_4/stack kTfLiteInt32   kTfLiteMmapRo         16 bytes ( 0.0 MB)  4
Tensor  49 BoxPredictor_4/stack_1 kTfLiteInt32   kTfLiteMmapRo         12 bytes ( 0.0 MB)  3
Tensor  50 BoxPredictor_5/BoxEncodingPredictor/BiasAdd kTfLiteUInt8  kTfLiteArenaRw         24 bytes ( 0.0 MB)  1 1 1 24
Tensor  51 BoxPredictor_5/BoxEncodingPredictor/Conv2D_bias kTfLiteInt32   kTfLiteMmapRo         96 bytes ( 0.0 MB)  24
Tensor  52 BoxPredictor_5/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       2304 bytes ( 0.0 MB)  24 1 1 96
Tensor  53 BoxPredictor_5/ClassPredictor/BiasAdd kTfLiteUInt8  kTfLiteArenaRw        546 bytes ( 0.0 MB)  1 1 1 546
Tensor  54 BoxPredictor_5/ClassPredictor/Conv2D_bias kTfLiteInt32   kTfLiteMmapRo       2184 bytes ( 0.0 MB)  546
Tensor  55 BoxPredictor_5/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo      52416 bytes ( 0.0 MB)  546 1 1 96
Tensor  56 BoxPredictor_5/Reshape kTfLiteUInt8  kTfLiteArenaRw         24 bytes ( 0.0 MB)  1 6 1 4
Tensor  57 BoxPredictor_5/Reshape_1 kTfLiteUInt8  kTfLiteArenaRw        546 bytes ( 0.0 MB)  1 6 91
Tensor  58 BoxPredictor_5/stack kTfLiteInt32   kTfLiteMmapRo         16 bytes ( 0.0 MB)  4
Tensor  59 BoxPredictor_5/stack_1 kTfLiteInt32   kTfLiteMmapRo         12 bytes ( 0.0 MB)  3
Tensor  60 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo        768 bytes ( 0.0 MB)  192
Tensor  61 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/Relu6 kTfLiteUInt8  kTfLiteArenaRw      19200 bytes ( 0.0 MB)  1 10 10 192
Tensor  62 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     147456 bytes ( 0.1 MB)  192 1 1 768
Tensor  63 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo        384 bytes ( 0.0 MB)  96
Tensor  64 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/Relu6 kTfLiteUInt8  kTfLiteArenaRw       2400 bytes ( 0.0 MB)  1 5 5 96
Tensor  65 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo      36864 bytes ( 0.0 MB)  96 1 1 384
Tensor  66 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo        384 bytes ( 0.0 MB)  96
Tensor  67 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/Relu6 kTfLiteUInt8  kTfLiteArenaRw        864 bytes ( 0.0 MB)  1 3 3 96
Tensor  68 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo      18432 bytes ( 0.0 MB)  96 1 1 192
Tensor  69 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo        192 bytes ( 0.0 MB)  48
Tensor  70 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/Relu6 kTfLiteUInt8  kTfLiteArenaRw        192 bytes ( 0.0 MB)  1 2 2 48
Tensor  71 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       9216 bytes ( 0.0 MB)  48 1 1 192
Tensor  72 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor  73 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/Relu6 kTfLiteUInt8  kTfLiteArenaRw       9600 bytes ( 0.0 MB)  1 5 5 384
Tensor  74 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     663552 bytes ( 0.6 MB)  384 3 3 192
Tensor  75 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo        768 bytes ( 0.0 MB)  192
Tensor  76 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/Relu6 kTfLiteUInt8  kTfLiteArenaRw       1728 bytes ( 0.0 MB)  1 3 3 192
Tensor  77 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     165888 bytes ( 0.2 MB)  192 3 3 96
Tensor  78 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo        768 bytes ( 0.0 MB)  192
Tensor  79 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/Relu6 kTfLiteUInt8  kTfLiteArenaRw        768 bytes ( 0.0 MB)  1 2 2 192
Tensor  80 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     165888 bytes ( 0.2 MB)  192 3 3 96
Tensor  81 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo        384 bytes ( 0.0 MB)  96
Tensor  82 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/Relu6 kTfLiteUInt8  kTfLiteArenaRw         96 bytes ( 0.0 MB)  1 1 1 96
Tensor  83 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo      41472 bytes ( 0.0 MB)  96 3 3 48
Tensor  84 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo         96 bytes ( 0.0 MB)  24
Tensor  85 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Relu6 kTfLiteUInt8  kTfLiteArenaRw     540000 bytes ( 0.5 MB)  1 150 150 24
Tensor  86 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo        648 bytes ( 0.0 MB)  24 3 3 3
Tensor  87 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     138624 bytes ( 0.1 MB)  1 19 19 384
Tensor  88 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor  89 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       3456 bytes ( 0.0 MB)  1 3 3 384
Tensor  90 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor  91 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     138624 bytes ( 0.1 MB)  1 19 19 384
Tensor  92 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     147456 bytes ( 0.1 MB)  384 1 1 384
Tensor  93 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     138624 bytes ( 0.1 MB)  1 19 19 384
Tensor  94 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor  95 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       3456 bytes ( 0.0 MB)  1 3 3 384
Tensor  96 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor  97 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     138624 bytes ( 0.1 MB)  1 19 19 384
Tensor  98 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     147456 bytes ( 0.1 MB)  384 1 1 384
Tensor  99 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw      38400 bytes ( 0.0 MB)  1 10 10 384
Tensor 100 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor 101 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       3456 bytes ( 0.0 MB)  1 3 3 384
Tensor 102 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo       3072 bytes ( 0.0 MB)  768
Tensor 103 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw      76800 bytes ( 0.1 MB)  1 10 10 768
Tensor 104 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     294912 bytes ( 0.3 MB)  768 1 1 384
Tensor 105 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw      76800 bytes ( 0.1 MB)  1 10 10 768
Tensor 106 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo       3072 bytes ( 0.0 MB)  768
Tensor 107 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       6912 bytes ( 0.0 MB)  1 3 3 768
Tensor 108 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo       3072 bytes ( 0.0 MB)  768
Tensor 109 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw      76800 bytes ( 0.1 MB)  1 10 10 768
Tensor 110 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     589824 bytes ( 0.6 MB)  768 1 1 768
Tensor 111 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     540000 bytes ( 0.5 MB)  1 150 150 24
Tensor 112 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo         96 bytes ( 0.0 MB)  24
Tensor 113 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo        216 bytes ( 0.0 MB)  1 3 3 24
Tensor 114 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo        192 bytes ( 0.0 MB)  48
Tensor 115 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw    1080000 bytes ( 1.0 MB)  1 150 150 48
Tensor 116 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       1152 bytes ( 0.0 MB)  48 1 1 24
Tensor 117 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     270000 bytes ( 0.3 MB)  1 75 75 48
Tensor 118 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo        192 bytes ( 0.0 MB)  48
Tensor 119 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo        432 bytes ( 0.0 MB)  1 3 3 48
Tensor 120 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo        384 bytes ( 0.0 MB)  96
Tensor 121 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     540000 bytes ( 0.5 MB)  1 75 75 96
Tensor 122 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       4608 bytes ( 0.0 MB)  96 1 1 48
Tensor 123 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     540000 bytes ( 0.5 MB)  1 75 75 96
Tensor 124 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo        384 bytes ( 0.0 MB)  96
Tensor 125 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo        864 bytes ( 0.0 MB)  1 3 3 96
Tensor 126 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo        384 bytes ( 0.0 MB)  96
Tensor 127 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     540000 bytes ( 0.5 MB)  1 75 75 96
Tensor 128 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       9216 bytes ( 0.0 MB)  96 1 1 96
Tensor 129 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     138624 bytes ( 0.1 MB)  1 38 38 96
Tensor 130 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo        384 bytes ( 0.0 MB)  96
Tensor 131 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo        864 bytes ( 0.0 MB)  1 3 3 96
Tensor 132 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo        768 bytes ( 0.0 MB)  192
Tensor 133 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     277248 bytes ( 0.3 MB)  1 38 38 192
Tensor 134 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo      18432 bytes ( 0.0 MB)  192 1 1 96
Tensor 135 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     277248 bytes ( 0.3 MB)  1 38 38 192
Tensor 136 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo        768 bytes ( 0.0 MB)  192
Tensor 137 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       1728 bytes ( 0.0 MB)  1 3 3 192
Tensor 138 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo        768 bytes ( 0.0 MB)  192
Tensor 139 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     277248 bytes ( 0.3 MB)  1 38 38 192
Tensor 140 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo      36864 bytes ( 0.0 MB)  192 1 1 192
Tensor 141 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw      69312 bytes ( 0.1 MB)  1 19 19 192
Tensor 142 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo        768 bytes ( 0.0 MB)  192
Tensor 143 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       1728 bytes ( 0.0 MB)  1 3 3 192
Tensor 144 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor 145 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     138624 bytes ( 0.1 MB)  1 19 19 384
Tensor 146 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo      73728 bytes ( 0.1 MB)  384 1 1 192
Tensor 147 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     138624 bytes ( 0.1 MB)  1 19 19 384
Tensor 148 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor 149 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       3456 bytes ( 0.0 MB)  1 3 3 384
Tensor 150 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor 151 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     138624 bytes ( 0.1 MB)  1 19 19 384
Tensor 152 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     147456 bytes ( 0.1 MB)  384 1 1 384
Tensor 153 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     138624 bytes ( 0.1 MB)  1 19 19 384
Tensor 154 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor 155 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       3456 bytes ( 0.0 MB)  1 3 3 384
Tensor 156 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor 157 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     138624 bytes ( 0.1 MB)  1 19 19 384
Tensor 158 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     147456 bytes ( 0.1 MB)  384 1 1 384
Tensor 159 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     138624 bytes ( 0.1 MB)  1 19 19 384
Tensor 160 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/depthwise_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor 161 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo       3456 bytes ( 0.0 MB)  1 3 3 384
Tensor 162 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/Conv2D_Fold_bias kTfLiteInt32   kTfLiteMmapRo       1536 bytes ( 0.0 MB)  384
Tensor 163 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/Relu6 kTfLiteUInt8  kTfLiteArenaRw     138624 bytes ( 0.1 MB)  1 19 19 384
Tensor 164 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8   kTfLiteMmapRo     147456 bytes ( 0.1 MB)  384 1 1 384
Tensor 165 Squeeze              kTfLiteUInt8  kTfLiteArenaRw       7668 bytes ( 0.0 MB)  1 1917 4
Tensor 166 Squeeze_shape        kTfLiteInt32   kTfLiteMmapRo         12 bytes ( 0.0 MB)  3
Tensor 167 TFLite_Detection_PostProcess kTfLiteFloat32  kTfLiteArenaRw        160 bytes ( 0.0 MB)  1 10 4
Tensor 168 TFLite_Detection_PostProcess:1 kTfLiteFloat32  kTfLiteArenaRw         40 bytes ( 0.0 MB)  1 10
Tensor 169 TFLite_Detection_PostProcess:2 kTfLiteFloat32  kTfLiteArenaRw         40 bytes ( 0.0 MB)  1 10
Tensor 170 TFLite_Detection_PostProcess:3 kTfLiteFloat32  kTfLiteArenaRw          4 bytes ( 0.0 MB)  1
Tensor 171 anchors              kTfLiteUInt8   kTfLiteMmapRo       7668 bytes ( 0.0 MB)  1917 4
Tensor 172 concat               kTfLiteUInt8  kTfLiteArenaRw       7668 bytes ( 0.0 MB)  1 1917 1 4
Tensor 173 concat_1             kTfLiteUInt8  kTfLiteArenaRw     174447 bytes ( 0.2 MB)  1 1917 91
Tensor 174 convert_scores       kTfLiteUInt8  kTfLiteArenaRw     174447 bytes ( 0.2 MB)  1 1917 91
Tensor 175 normalized_input_image_tensor kTfLiteUInt8  kTfLiteArenaRw     270000 bytes ( 0.3 MB)  1 300 300 3
Tensor 176 (null)               kTfLiteFloat32  kTfLiteArenaRw      30672 bytes ( 0.0 MB)  1917 4
Tensor 177 (null)               kTfLiteFloat32  kTfLiteArenaRw     697788 bytes ( 0.7 MB)  1917 91
Tensor 178 (null)               kTfLiteUInt8  kTfLiteArenaRw       1917 bytes ( 0.0 MB)  1917
Tensor 179 (null)               kTfLiteUInt8  kTfLiteArenaRw     607500 bytes ( 0.6 MB)  1 150 150 27
Tensor 180 (null)               kTfLiteUInt8  kTfLiteArenaRw      43200 bytes ( 0.0 MB)  1 5 5 1728
Tensor 181 (null)               kTfLiteUInt8  kTfLiteArenaRw       7776 bytes ( 0.0 MB)  1 3 3 864
Tensor 182 (null)               kTfLiteUInt8  kTfLiteArenaRw       3456 bytes ( 0.0 MB)  1 2 2 864
Tensor 183 (null)               kTfLiteUInt8  kTfLiteArenaRw        432 bytes ( 0.0 MB)  1 1 1 432

Node   0 Operator Builtin Code   3 CONV_2D
  Inputs: 175 86 84
  Outputs: 85
  Temporaries: 179
Node   1 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 85 113 112
  Outputs: 111
Node   2 Operator Builtin Code   3 CONV_2D
  Inputs: 111 116 114
  Outputs: 115
Node   3 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 115 119 118
  Outputs: 117
Node   4 Operator Builtin Code   3 CONV_2D
  Inputs: 117 122 120
  Outputs: 121
Node   5 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 121 125 124
  Outputs: 123
Node   6 Operator Builtin Code   3 CONV_2D
  Inputs: 123 128 126
  Outputs: 127
Node   7 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 127 131 130
  Outputs: 129
Node   8 Operator Builtin Code   3 CONV_2D
  Inputs: 129 134 132
  Outputs: 133
Node   9 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 133 137 136
  Outputs: 135
Node  10 Operator Builtin Code   3 CONV_2D
  Inputs: 135 140 138
  Outputs: 139
Node  11 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 139 143 142
  Outputs: 141
Node  12 Operator Builtin Code   3 CONV_2D
  Inputs: 141 146 144
  Outputs: 145
Node  13 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 145 149 148
  Outputs: 147
Node  14 Operator Builtin Code   3 CONV_2D
  Inputs: 147 152 150
  Outputs: 151
Node  15 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 151 155 154
  Outputs: 153
Node  16 Operator Builtin Code   3 CONV_2D
  Inputs: 153 158 156
  Outputs: 157
Node  17 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 157 161 160
  Outputs: 159
Node  18 Operator Builtin Code   3 CONV_2D
  Inputs: 159 164 162
  Outputs: 163
Node  19 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 163 89 88
  Outputs: 87
Node  20 Operator Builtin Code   3 CONV_2D
  Inputs: 87 92 90
  Outputs: 91
Node  21 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 91 95 94
  Outputs: 93
Node  22 Operator Builtin Code   3 CONV_2D
  Inputs: 93 98 96
  Outputs: 97
Node  23 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 97 101 100
  Outputs: 99
Node  24 Operator Builtin Code   3 CONV_2D
  Inputs: 99 104 102
  Outputs: 103
Node  25 Operator Builtin Code   4 DEPTHWISE_CONV_2D
  Inputs: 103 107 106
  Outputs: 105
Node  26 Operator Builtin Code   3 CONV_2D
  Inputs: 105 110 108
  Outputs: 109
Node  27 Operator Builtin Code   3 CONV_2D
  Inputs: 109 62 60
  Outputs: 61
Node  28 Operator Builtin Code   3 CONV_2D
  Inputs: 61 74 72
  Outputs: 73
  Temporaries: 180
Node  29 Operator Builtin Code   3 CONV_2D
  Inputs: 73 65 63
  Outputs: 64
Node  30 Operator Builtin Code   3 CONV_2D
  Inputs: 64 77 75
  Outputs: 76
  Temporaries: 181
Node  31 Operator Builtin Code   3 CONV_2D
  Inputs: 76 68 66
  Outputs: 67
Node  32 Operator Builtin Code   3 CONV_2D
  Inputs: 67 80 78
  Outputs: 79
  Temporaries: 182
Node  33 Operator Builtin Code   3 CONV_2D
  Inputs: 79 71 69
  Outputs: 70
Node  34 Operator Builtin Code   3 CONV_2D
  Inputs: 70 83 81
  Outputs: 82
  Temporaries: 183
Node  35 Operator Builtin Code   3 CONV_2D
  Inputs: 97 2 1
  Outputs: 0
Node  36 Operator Builtin Code  22 RESHAPE
  Inputs: 0 8
  Outputs: 6
Node  37 Operator Builtin Code   3 CONV_2D
  Inputs: 97 5 4
  Outputs: 3
Node  38 Operator Builtin Code  22 RESHAPE
  Inputs: 3 9
  Outputs: 7
Node  39 Operator Builtin Code   3 CONV_2D
  Inputs: 109 12 11
  Outputs: 10
Node  40 Operator Builtin Code  22 RESHAPE
  Inputs: 10 18
  Outputs: 16
Node  41 Operator Builtin Code   3 CONV_2D
  Inputs: 109 15 14
  Outputs: 13
Node  42 Operator Builtin Code  22 RESHAPE
  Inputs: 13 19
  Outputs: 17
Node  43 Operator Builtin Code   3 CONV_2D
  Inputs: 73 22 21
  Outputs: 20
Node  44 Operator Builtin Code  22 RESHAPE
  Inputs: 20 28
  Outputs: 26
Node  45 Operator Builtin Code   3 CONV_2D
  Inputs: 73 25 24
  Outputs: 23
Node  46 Operator Builtin Code  22 RESHAPE
  Inputs: 23 29
  Outputs: 27
Node  47 Operator Builtin Code   3 CONV_2D
  Inputs: 76 32 31
  Outputs: 30
Node  48 Operator Builtin Code  22 RESHAPE
  Inputs: 30 38
  Outputs: 36
Node  49 Operator Builtin Code   3 CONV_2D
  Inputs: 76 35 34
  Outputs: 33
Node  50 Operator Builtin Code  22 RESHAPE
  Inputs: 33 39
  Outputs: 37
Node  51 Operator Builtin Code   3 CONV_2D
  Inputs: 79 42 41
  Outputs: 40
Node  52 Operator Builtin Code  22 RESHAPE
  Inputs: 40 48
  Outputs: 46
Node  53 Operator Builtin Code   3 CONV_2D
  Inputs: 79 45 44
  Outputs: 43
Node  54 Operator Builtin Code  22 RESHAPE
  Inputs: 43 49
  Outputs: 47
Node  55 Operator Builtin Code   3 CONV_2D
  Inputs: 82 52 51
  Outputs: 50
Node  56 Operator Builtin Code  22 RESHAPE
  Inputs: 50 58
  Outputs: 56
Node  57 Operator Builtin Code   2 CONCATENATION
  Inputs: 6 16 26 36 46 56
  Outputs: 172
Node  58 Operator Builtin Code  22 RESHAPE
  Inputs: 172 166
  Outputs: 165
Node  59 Operator Builtin Code   3 CONV_2D
  Inputs: 82 55 54
  Outputs: 53
Node  60 Operator Builtin Code  22 RESHAPE
  Inputs: 53 59
  Outputs: 57
Node  61 Operator Builtin Code   2 CONCATENATION
  Inputs: 7 17 27 37 47 57
  Outputs: 173
Node  62 Operator Builtin Code  14 LOGISTIC
  Inputs: 173
  Outputs: 174
Node  63 Operator Custom Name TFLite_Detection_PostProcess
  Inputs: 165 174 171
  Outputs: 167 168 169 170
  Temporaries: 176 177 178

저작자표시

'프로그램 사용 > yolo_tensorflow' 카테고리의 다른 글

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Posted by 구차니

embeded/raspberry pi2021. 1. 18. 15:25

bazel on rpi

아따.. tensorflow 하기 힘들다 -_-

[링크 : https://github.com/koenvervloesem/bazel-on-arm]

nano scripts/bootstrap/compile.sh
run "${JAVAC}" -classpath "${classpath}" -sourcepath "${sourcepath}" \
      -d "${output}/classes" -source "$JAVA_VERSION" -target "$JAVA_VERSION" \
      -encoding UTF-8 "@${paramfile}" -J-Xmx500M

[링크 : https://gist.github.com/EKami/9869ae6347f68c592c5b5cd181a3b205#3-build-bazel]

해도 안되네

The system is out of resources.
Consult the following stack trace for details.
java.lang.OutOfMemoryError: Java heap space

+

-Xms 가 그나마 Heap 전체에 대해서 설정이 가능한 옵션이 맞긴하나보네..

[링크 : https://www.samsungsds.com/kr/insights/1232761_4627.html]

+

구글에서 쓰니.. 텐서플로우도 구글꺼니 이래저래 물리는건가?

bazel 생성하는데 javac를 쓰다니 먼가 사악한(?) 놈이다 ㅠㅠ

[링크 : https://bazel.build/]

저작자표시

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rpi youtube (0)	2020.12.24
mpicc on rpi (0)	2020.12.15

Posted by 구차니

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