colabFace.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 109
    },
    "colab_type": "code",
    "id": "lmnErGkf-5mh",
    "outputId": "7f8ff384-d8a7-47e5-b68d-d3f1b6e3bddb"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cloning into 'darknet'...\n",
      "remote: Enumerating objects: 5901, done.\u001b[K\n",
      "remote: Total 5901 (delta 0), reused 0 (delta 0), pack-reused 5901\u001b[K\n",
      "Receiving objects: 100% (5901/5901), 6.17 MiB | 8.04 MiB/s, done.\n",
      "Resolving deltas: 100% (3923/3923), done.\n"
     ]
    }
   ],
   "source": [
    "!git clone https://github.com/pjreddie/darknet.git"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 15445
    },
    "colab_type": "code",
    "id": "ouCNAErG_f0_",
    "outputId": "a8d9d86f-af73-49dc-f660-0da02a2dcd81"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Archive:  faceData.zip\n",
      "   creating: faceData/\n",
      "  inflating: faceData/voc.data       \n",
      " extracting: faceData/voc.names      \n",
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      "  inflating: faceData/face_detection.json  \n",
      "   creating: faceData/backup/\n",
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      "  inflating: faceData/backup/tiny-yolov2-trial3-noBatch_100.weights  \n",
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      "   creating: faceData/labels/\n",
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      "  inflating: faceData/JPEGImages/384.jpg  \n",
      "   creating: faceData/ImageSets/\n",
      "   creating: faceData/Annotations/\n",
      "   creating: faceData/backup/temp/\n",
      "   creating: faceData/ImageSets/Segmentation/\n",
      "   creating: faceData/ImageSets/Main/\n",
      "   creating: faceData/ImageSets/Layout/\n"
     ]
    }
   ],
   "source": [
    "#upload faceData.zip\n",
    "!mv /faceData.zip /content/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 15445
    },
    "colab_type": "code",
    "id": "1TisjVczAFVJ",
    "outputId": "cac89bb2-ec3d-4ac6-dbaf-4f6af97434d8"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Archive:  faceData.zip\n",
      "   creating: faceData/\n",
      "  inflating: faceData/voc.data       \n",
      " extracting: faceData/voc.names      \n",
      "  inflating: faceData/tiny-yolov2-trial3-noBatch.cfg  \n",
      "  inflating: faceData/process.py     \n",
      "  inflating: faceData/test.txt       \n",
      "  inflating: faceData/train.txt      \n",
      "  inflating: faceData/face_detection.json  \n",
      "   creating: faceData/backup/\n",
      "  inflating: faceData/backup/tiny-yolov2-trial3-noBatch_300.weights  \n",
      "  inflating: faceData/backup/tiny-yolov2-trial3-noBatch_200.weights  \n",
      "  inflating: faceData/backup/tiny-yolov2-trial3-noBatch_100.weights  \n",
      "  inflating: faceData/backup/tiny-yolov2-trial3-noBatch.backup  \n",
      "   creating: faceData/labels/\n",
      "  inflating: faceData/labels/127.txt  \n",
      "  inflating: faceData/labels/126.txt  \n",
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      "   creating: faceData/ImageSets/\n",
      "   creating: faceData/Annotations/\n",
      "   creating: faceData/backup/temp/\n",
      "   creating: faceData/ImageSets/Segmentation/\n",
      "   creating: faceData/ImageSets/Main/\n",
      "   creating: faceData/ImageSets/Layout/\n"
     ]
    }
   ],
   "source": [
    "!unzip faceData.zip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "vhaTDYhjHJiF"
   },
   "outputs": [],
   "source": [
    "!rm /content/darknet/examples/yolo.c\n",
    "#upload yolo.c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Vgo8QObsHkHU"
   },
   "outputs": [],
   "source": [
    "!mv ./yolo.c ./darknet/examples/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 55
    },
    "colab_type": "code",
    "id": "-MSQeqyLHwtP",
    "outputId": "dad47bb3-c413-45bd-a763-65e30e7af65c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rm -rf ./obj/gemm.o ./obj/utils.o ./obj/cuda.o ./obj/deconvolutional_layer.o ./obj/convolutional_layer.o ./obj/list.o ./obj/image.o ./obj/activations.o ./obj/im2col.o ./obj/col2im.o ./obj/blas.o ./obj/crop_layer.o ./obj/dropout_layer.o ./obj/maxpool_layer.o ./obj/softmax_layer.o ./obj/data.o ./obj/matrix.o ./obj/network.o ./obj/connected_layer.o ./obj/cost_layer.o ./obj/parser.o ./obj/option_list.o ./obj/detection_layer.o ./obj/route_layer.o ./obj/upsample_layer.o ./obj/box.o ./obj/normalization_layer.o ./obj/avgpool_layer.o ./obj/layer.o ./obj/local_layer.o ./obj/shortcut_layer.o ./obj/logistic_layer.o ./obj/activation_layer.o ./obj/rnn_layer.o ./obj/gru_layer.o ./obj/crnn_layer.o ./obj/demo.o ./obj/batchnorm_layer.o ./obj/region_layer.o ./obj/reorg_layer.o ./obj/tree.o ./obj/lstm_layer.o ./obj/l2norm_layer.o ./obj/yolo_layer.o ./obj/iseg_layer.o ./obj/image_opencv.o ./obj/convolutional_kernels.o ./obj/deconvolutional_kernels.o ./obj/activation_kernels.o ./obj/im2col_kernels.o ./obj/col2im_kernels.o ./obj/blas_kernels.o ./obj/crop_layer_kernels.o ./obj/dropout_layer_kernels.o ./obj/maxpool_layer_kernels.o ./obj/avgpool_layer_kernels.o libdarknet.so libdarknet.a darknet ./obj/captcha.o ./obj/lsd.o ./obj/super.o ./obj/art.o ./obj/tag.o ./obj/cifar.o ./obj/go.o ./obj/rnn.o ./obj/segmenter.o ./obj/regressor.o ./obj/classifier.o ./obj/coco.o ./obj/yolo.o ./obj/detector.o ./obj/nightmare.o ./obj/instance-segmenter.o ./obj/darknet.o ./obj//*\n"
     ]
    }
   ],
   "source": [
    "!cd darknet/ && make clean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "qwsJQWPMcA5V"
   },
   "outputs": [],
   "source": [
    "!rm ./darknet/Makefile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "TVAe7komN98E"
   },
   "outputs": [],
   "source": [
    "#upload Makefile\n",
    "!mv ./Makefile ./darknet/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1690
    },
    "colab_type": "code",
    "id": "4AwVkPHpH5Wd",
    "outputId": "afd062e2-fbab-4334-cc47-54ea785eb86e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mkdir -p obj\n",
      "mkdir -p backup\n",
      "mkdir -p results\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/gemm.c -o obj/gemm.o\n",
      "\u001b[01m\u001b[K./src/gemm.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Ktime_gpu\u001b[m\u001b[K’:\n",
      "\u001b[01m\u001b[K./src/gemm.c:232:9:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KcudaThreadSynchronize\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
      "         \u001b[01;35m\u001b[KcudaThreadSynchronize\u001b[m\u001b[K();\n",
      "         \u001b[01;35m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
      "In file included from \u001b[01m\u001b[K/usr/local/cuda-10.0/include/cuda_runtime.h:96:0\u001b[m\u001b[K,\n",
      "                 from \u001b[01m\u001b[Kinclude/darknet.h:11\u001b[m\u001b[K,\n",
      "                 from \u001b[01m\u001b[K./src/utils.h:5\u001b[m\u001b[K,\n",
      "                 from \u001b[01m\u001b[K./src/gemm.c:2\u001b[m\u001b[K:\n",
      "\u001b[01m\u001b[K/usr/local/cuda-10.0/include/cuda_runtime_api.h:947:57:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
      " extern __CUDA_DEPRECATED __host__ cudaError_t CUDARTAPI \u001b[01;36m\u001b[KcudaThreadSynchronize\u001b[m\u001b[K(void);\n",
      "                                                         \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/utils.c -o obj/utils.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/cuda.c -o obj/cuda.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/deconvolutional_layer.c -o obj/deconvolutional_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/convolutional_layer.c -o obj/convolutional_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/list.c -o obj/list.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/image.c -o obj/image.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/activations.c -o obj/activations.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/im2col.c -o obj/im2col.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/col2im.c -o obj/col2im.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/blas.c -o obj/blas.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/crop_layer.c -o obj/crop_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/dropout_layer.c -o obj/dropout_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/maxpool_layer.c -o obj/maxpool_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/softmax_layer.c -o obj/softmax_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/data.c -o obj/data.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/matrix.c -o obj/matrix.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/network.c -o obj/network.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/connected_layer.c -o obj/connected_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/cost_layer.c -o obj/cost_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/parser.c -o obj/parser.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/option_list.c -o obj/option_list.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/detection_layer.c -o obj/detection_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/route_layer.c -o obj/route_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/upsample_layer.c -o obj/upsample_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/box.c -o obj/box.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/normalization_layer.c -o obj/normalization_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/avgpool_layer.c -o obj/avgpool_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/layer.c -o obj/layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/local_layer.c -o obj/local_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/shortcut_layer.c -o obj/shortcut_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/logistic_layer.c -o obj/logistic_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/activation_layer.c -o obj/activation_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/rnn_layer.c -o obj/rnn_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/gru_layer.c -o obj/gru_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/crnn_layer.c -o obj/crnn_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/demo.c -o obj/demo.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/batchnorm_layer.c -o obj/batchnorm_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/region_layer.c -o obj/region_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/reorg_layer.c -o obj/reorg_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/tree.c -o obj/tree.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/lstm_layer.c -o obj/lstm_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/l2norm_layer.c -o obj/l2norm_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/yolo_layer.c -o obj/yolo_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/iseg_layer.c -o obj/iseg_layer.o\n",
      "g++ -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./src/image_opencv.cpp -o obj/image_opencv.o\n",
      "nvcc  -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  --compiler-options \"-Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN\" -c ./src/convolutional_kernels.cu -o obj/convolutional_kernels.o\n",
      "nvcc  -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  --compiler-options \"-Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN\" -c ./src/deconvolutional_kernels.cu -o obj/deconvolutional_kernels.o\n",
      "nvcc  -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  --compiler-options \"-Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN\" -c ./src/activation_kernels.cu -o obj/activation_kernels.o\n",
      "nvcc  -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  --compiler-options \"-Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN\" -c ./src/im2col_kernels.cu -o obj/im2col_kernels.o\n",
      "nvcc  -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  --compiler-options \"-Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN\" -c ./src/col2im_kernels.cu -o obj/col2im_kernels.o\n",
      "nvcc  -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  --compiler-options \"-Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN\" -c ./src/blas_kernels.cu -o obj/blas_kernels.o\n",
      "nvcc  -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  --compiler-options \"-Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN\" -c ./src/crop_layer_kernels.cu -o obj/crop_layer_kernels.o\n",
      "nvcc  -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  --compiler-options \"-Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN\" -c ./src/dropout_layer_kernels.cu -o obj/dropout_layer_kernels.o\n",
      "nvcc  -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  --compiler-options \"-Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN\" -c ./src/maxpool_layer_kernels.cu -o obj/maxpool_layer_kernels.o\n",
      "nvcc  -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  --compiler-options \"-Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN\" -c ./src/avgpool_layer_kernels.cu -o obj/avgpool_layer_kernels.o\n",
      "gcc -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -shared obj/gemm.o obj/utils.o obj/cuda.o obj/deconvolutional_layer.o obj/convolutional_layer.o obj/list.o obj/image.o obj/activations.o obj/im2col.o obj/col2im.o obj/blas.o obj/crop_layer.o obj/dropout_layer.o obj/maxpool_layer.o obj/softmax_layer.o obj/data.o obj/matrix.o obj/network.o obj/connected_layer.o obj/cost_layer.o obj/parser.o obj/option_list.o obj/detection_layer.o obj/route_layer.o obj/upsample_layer.o obj/box.o obj/normalization_layer.o obj/avgpool_layer.o obj/layer.o obj/local_layer.o obj/shortcut_layer.o obj/logistic_layer.o obj/activation_layer.o obj/rnn_layer.o obj/gru_layer.o obj/crnn_layer.o obj/demo.o obj/batchnorm_layer.o obj/region_layer.o obj/reorg_layer.o obj/tree.o obj/lstm_layer.o obj/l2norm_layer.o obj/yolo_layer.o obj/iseg_layer.o obj/image_opencv.o obj/convolutional_kernels.o obj/deconvolutional_kernels.o obj/activation_kernels.o obj/im2col_kernels.o obj/col2im_kernels.o obj/blas_kernels.o obj/crop_layer_kernels.o obj/dropout_layer_kernels.o obj/maxpool_layer_kernels.o obj/avgpool_layer_kernels.o -o libdarknet.so -lm -pthread  -L/usr/local/cuda-10.0/lib64 -lcuda -lcudart -lcublas -lcurand -lcudnn -lstdc++ \n",
      "ar rcs libdarknet.a obj/gemm.o obj/utils.o obj/cuda.o obj/deconvolutional_layer.o obj/convolutional_layer.o obj/list.o obj/image.o obj/activations.o obj/im2col.o obj/col2im.o obj/blas.o obj/crop_layer.o obj/dropout_layer.o obj/maxpool_layer.o obj/softmax_layer.o obj/data.o obj/matrix.o obj/network.o obj/connected_layer.o obj/cost_layer.o obj/parser.o obj/option_list.o obj/detection_layer.o obj/route_layer.o obj/upsample_layer.o obj/box.o obj/normalization_layer.o obj/avgpool_layer.o obj/layer.o obj/local_layer.o obj/shortcut_layer.o obj/logistic_layer.o obj/activation_layer.o obj/rnn_layer.o obj/gru_layer.o obj/crnn_layer.o obj/demo.o obj/batchnorm_layer.o obj/region_layer.o obj/reorg_layer.o obj/tree.o obj/lstm_layer.o obj/l2norm_layer.o obj/yolo_layer.o obj/iseg_layer.o obj/image_opencv.o obj/convolutional_kernels.o obj/deconvolutional_kernels.o obj/activation_kernels.o obj/im2col_kernels.o obj/col2im_kernels.o obj/blas_kernels.o obj/crop_layer_kernels.o obj/dropout_layer_kernels.o obj/maxpool_layer_kernels.o obj/avgpool_layer_kernels.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./examples/captcha.c -o obj/captcha.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./examples/lsd.c -o obj/lsd.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./examples/super.c -o obj/super.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./examples/art.c -o obj/art.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./examples/tag.c -o obj/tag.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./examples/cifar.c -o obj/cifar.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./examples/go.c -o obj/go.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./examples/rnn.c -o obj/rnn.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./examples/segmenter.c -o obj/segmenter.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./examples/regressor.c -o obj/regressor.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./examples/classifier.c -o obj/classifier.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./examples/coco.c -o obj/coco.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./examples/yolo.c -o obj/yolo.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./examples/detector.c -o obj/detector.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./examples/nightmare.c -o obj/nightmare.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./examples/instance-segmenter.c -o obj/instance-segmenter.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN -c ./examples/darknet.c -o obj/darknet.o\n",
      "gcc -Iinclude/ -Isrc/ -DGPU -I/usr/local/cuda-10.0/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DGPU -DCUDNN obj/captcha.o obj/lsd.o obj/super.o obj/art.o obj/tag.o obj/cifar.o obj/go.o obj/rnn.o obj/segmenter.o obj/regressor.o obj/classifier.o obj/coco.o obj/yolo.o obj/detector.o obj/nightmare.o obj/instance-segmenter.o obj/darknet.o libdarknet.a -o darknet -lm -pthread  -L/usr/local/cuda-10.0/lib64 -lcuda -lcudart -lcublas -lcurand -lcudnn -lstdc++  libdarknet.a\n"
     ]
    }
   ],
   "source": [
    "!cd darknet/ && make all"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "qe7Bt33AFDix"
   },
   "outputs": [],
   "source": [
    "#upload mycfg\n",
    "!mv ./mycfg.cfg ./faceData/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "NIN1714xISSg"
   },
   "outputs": [],
   "source": [
    "#upload covoc.data\n",
    "!mv ./covoc.data ./faceData/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "5ObAmtmNKgv2",
    "outputId": "eaf1a575-a0d8-42cd-8908-23c1ddf51cd5"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rm: cannot remove './faceData/test.txt': No such file or directory\n"
     ]
    }
   ],
   "source": [
    "#upload train.txt test.txt\n",
    "!rm ./faceData/train.txt ./faceData/test.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "gi5dOwGnK11y"
   },
   "outputs": [],
   "source": [
    "!mv ./train.txt ./faceData/\n",
    "!mv ./test.txt ./faceData/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "PTE4kTnHc-6I"
   },
   "outputs": [],
   "source": [
    "!rm ./darknet/examples/detector.c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "BqLAbz7EdEna"
   },
   "outputs": [],
   "source": [
    "#upload detector.c\n",
    "!mv ./detector.c ./darknet/examples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "qLA1weXMfD2i"
   },
   "outputs": [],
   "source": [
    "!rm -rf ./faceData/backup/*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 325
    },
    "colab_type": "code",
    "id": "q8p2e4h0F1rn",
    "outputId": "402cc5af-796d-44e9-ccda-cfe928452446"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "layer     filters    size              input                output\n",
      "    0 conv     16  3 x 3 / 1   224 x 224 x   3   ->   224 x 224 x  16  0.043 BFLOPs\n",
      "    1 max          2 x 2 / 2   224 x 224 x  16   ->   112 x 112 x  16\n",
      "    2 conv     32  3 x 3 / 1   112 x 112 x  16   ->   112 x 112 x  32  0.116 BFLOPs\n",
      "    3 max          2 x 2 / 2   112 x 112 x  32   ->    56 x  56 x  32\n",
      "    4 conv     64  3 x 3 / 1    56 x  56 x  32   ->    56 x  56 x  64  0.116 BFLOPs\n",
      "    5 max          2 x 2 / 2    56 x  56 x  64   ->    28 x  28 x  64\n",
      "    6 conv    128  3 x 3 / 1    28 x  28 x  64   ->    28 x  28 x 128  0.116 BFLOPs\n",
      "    7 max          2 x 2 / 2    28 x  28 x 128   ->    14 x  14 x 128\n",
      "    8 conv    128  3 x 3 / 1    14 x  14 x 128   ->    14 x  14 x 128  0.058 BFLOPs\n",
      "    9 max          2 x 2 / 2    14 x  14 x 128   ->     7 x   7 x 128\n",
      "   10 conv    256  3 x 3 / 1     7 x   7 x 128   ->     7 x   7 x 256  0.029 BFLOPs\n",
      "   11 conv     30  1 x 1 / 1     7 x   7 x 256   ->     7 x   7 x  30  0.001 BFLOPs\n",
      "   12 detection\n",
      "mask_scale: Using default '1.000000'\n"
     ]
    }
   ],
   "source": [
    "!cd darknet/ && ./darknet detector train /content/faceData/covoc.data /content/faceData/mycfg.cfg > /content/faceData/backup/log.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "PmjH0Oz3r7W8"
   },
   "outputs": [],
   "source": []
  }
 ],
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