Gun_detection_Yolov3/Colab_train_yolov3.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 126
    },
    "colab_type": "code",
    "id": "pfZginAPeSzL",
    "outputId": "c73a2f88-8f02-47c8-8fe3-9009ad3a0c59"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3aietf%3awg%3aoauth%3a2.0%3aoob&response_type=code&scope=email%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdocs.test%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive.photos.readonly%20https%3a%2f%2fwww.googleapis.com%2fauth%2fpeopleapi.readonly\n",
      "\n",
      "Enter your authorization code:\n",
      "··········\n",
      "Mounted at /content/drive\n"
     ]
    }
   ],
   "source": [
    "from google.colab import drive\n",
    "drive.mount('/content/drive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 88
    },
    "colab_type": "code",
    "id": "ivxZS4mL57-H",
    "outputId": "cb490e75-26e5-43db-a8e2-8fddc899a9a3"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nvcc: NVIDIA (R) Cuda compiler driver\n",
      "Copyright (c) 2005-2019 NVIDIA Corporation\n",
      "Built on Sun_Jul_28_19:07:16_PDT_2019\n",
      "Cuda compilation tools, release 10.1, V10.1.243\n"
     ]
    }
   ],
   "source": [
    "!nvcc --version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "colab_type": "code",
    "id": "po0EvnvGnWoV",
    "outputId": "68250e29-2907-4f45-b3cb-ed1a3142ad9e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
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     ]
    }
   ],
   "source": [
    "!unzip \"/content/drive/My Drive/YOLOv3_files/darknet.zip\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "colab_type": "code",
    "id": "fBQgzSpY7Vkh",
    "outputId": "3e82f441-0c49-42cd-bc3e-81b18c131a2a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/content/darknet\n",
      "mkdir -p obj\n",
      "mkdir -p backup\n",
      "mkdir -p results\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -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/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/include/cuda_runtime_api.h:957:57:\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/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/utils.c -o obj/utils.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/cuda.c -o obj/cuda.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/deconvolutional_layer.c -o obj/deconvolutional_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/convolutional_layer.c -o obj/convolutional_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/list.c -o obj/list.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/image.c -o obj/image.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/activations.c -o obj/activations.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/im2col.c -o obj/im2col.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/col2im.c -o obj/col2im.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/blas.c -o obj/blas.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/crop_layer.c -o obj/crop_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/dropout_layer.c -o obj/dropout_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/maxpool_layer.c -o obj/maxpool_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/softmax_layer.c -o obj/softmax_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/data.c -o obj/data.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/matrix.c -o obj/matrix.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/network.c -o obj/network.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/connected_layer.c -o obj/connected_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/cost_layer.c -o obj/cost_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/parser.c -o obj/parser.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/option_list.c -o obj/option_list.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/detection_layer.c -o obj/detection_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/route_layer.c -o obj/route_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/upsample_layer.c -o obj/upsample_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/box.c -o obj/box.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/normalization_layer.c -o obj/normalization_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/avgpool_layer.c -o obj/avgpool_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/layer.c -o obj/layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/local_layer.c -o obj/local_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/shortcut_layer.c -o obj/shortcut_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/logistic_layer.c -o obj/logistic_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/activation_layer.c -o obj/activation_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/rnn_layer.c -o obj/rnn_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/gru_layer.c -o obj/gru_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/crnn_layer.c -o obj/crnn_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/demo.c -o obj/demo.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/batchnorm_layer.c -o obj/batchnorm_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/region_layer.c -o obj/region_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/reorg_layer.c -o obj/reorg_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/tree.c -o obj/tree.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/lstm_layer.c -o obj/lstm_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/l2norm_layer.c -o obj/l2norm_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/yolo_layer.c -o obj/yolo_layer.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/iseg_layer.c -o obj/iseg_layer.o\n",
      "g++ -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -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/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  --compiler-options \"-Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -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/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  --compiler-options \"-Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -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/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  --compiler-options \"-Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -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/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  --compiler-options \"-Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -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/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  --compiler-options \"-Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -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/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  --compiler-options \"-Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -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/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  --compiler-options \"-Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -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/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  --compiler-options \"-Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -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/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  --compiler-options \"-Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -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/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  --compiler-options \"-Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -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 -DOPENCV -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  `pkg-config --libs opencv` -lstdc++ -L/usr/local/cuda/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/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./examples/captcha.c -o obj/captcha.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./examples/lsd.c -o obj/lsd.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./examples/super.c -o obj/super.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./examples/art.c -o obj/art.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./examples/tag.c -o obj/tag.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./examples/cifar.c -o obj/cifar.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./examples/go.c -o obj/go.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./examples/rnn.c -o obj/rnn.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./examples/segmenter.c -o obj/segmenter.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./examples/regressor.c -o obj/regressor.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./examples/classifier.c -o obj/classifier.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./examples/coco.c -o obj/coco.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./examples/yolo.c -o obj/yolo.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./examples/detector.c -o obj/detector.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./examples/nightmare.c -o obj/nightmare.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./examples/instance-segmenter.c -o obj/instance-segmenter.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./examples/darknet.c -o obj/darknet.o\n",
      "gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -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  `pkg-config --libs opencv` -lstdc++ -L/usr/local/cuda/lib64 -lcuda -lcudart -lcublas -lcurand -lcudnn -lstdc++  libdarknet.a\n"
     ]
    }
   ],
   "source": [
    "%cd /content/darknet \n",
    "!make\n",
    "!chmod +x ./darknet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "lBKVTRLGwSwO"
   },
   "outputs": [],
   "source": [
    "!rm /content/darknet/backup -r\n",
    "!ln -s /content/drive/'My Drive'/YOLOv3_weight/backup /content/darknet\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 426
    },
    "colab_type": "code",
    "id": "RWoV85PswxSW",
    "outputId": "e81bce52-58f7-4ecd-bc1e-76b44cf80746"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reading package lists... Done\n",
      "Building dependency tree       \n",
      "Reading state information... Done\n",
      "The following NEW packages will be installed:\n",
      "  dos2unix\n",
      "0 upgraded, 1 newly installed, 0 to remove and 31 not upgraded.\n",
      "Need to get 351 kB of archives.\n",
      "After this operation, 1,267 kB of additional disk space will be used.\n",
      "Get:1 http://archive.ubuntu.com/ubuntu bionic/universe amd64 dos2unix amd64 7.3.4-3 [351 kB]\n",
      "Fetched 351 kB in 0s (4,007 kB/s)\n",
      "debconf: unable to initialize frontend: Dialog\n",
      "debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 76, <> line 1.)\n",
      "debconf: falling back to frontend: Readline\n",
      "debconf: unable to initialize frontend: Readline\n",
      "debconf: (This frontend requires a controlling tty.)\n",
      "debconf: falling back to frontend: Teletype\n",
      "dpkg-preconfigure: unable to re-open stdin: \n",
      "Selecting previously unselected package dos2unix.\n",
      "(Reading database ... 144439 files and directories currently installed.)\n",
      "Preparing to unpack .../dos2unix_7.3.4-3_amd64.deb ...\n",
      "Unpacking dos2unix (7.3.4-3) ...\n",
      "Setting up dos2unix (7.3.4-3) ...\n",
      "Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n"
     ]
    }
   ],
   "source": [
    "!sudo apt install dos2unix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 106
    },
    "colab_type": "code",
    "id": "GwQpFzsJ97_i",
    "outputId": "4f8b4a53-627c-47b3-aef1-a3bc102e814e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dos2unix: converting file ./data/train.txt to Unix format...\n",
      "dos2unix: converting file ./data/val.txt to Unix format...\n",
      "dos2unix: converting file ./data/yolo.data to Unix format...\n",
      "dos2unix: converting file ./data/yolo.names to Unix format...\n",
      "dos2unix: converting file ./cfg/yolov3_custom_train.cfg to Unix format...\n"
     ]
    }
   ],
   "source": [
    "!dos2unix ./data/train.txt\n",
    "!dos2unix ./data/val.txt\n",
    "!dos2unix ./data/yolo.data\n",
    "!dos2unix ./data/yolo.names\n",
    "!dos2unix ./cfg/yolov3_custom_train.cfg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "colab_type": "code",
    "id": "xOOVkda0-KFo",
    "outputId": "bd21027d-43a9-4795-9fce-720b9a524d04"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/content/darknet\n",
      "yolov3_custom_train\n",
      "layer     filters    size              input                output\n",
      "    0 conv     32  3 x 3 / 1   416 x 416 x   3   ->   416 x 416 x  32  0.299 BFLOPs\n",
      "    1 conv     64  3 x 3 / 2   416 x 416 x  32   ->   208 x 208 x  64  1.595 BFLOPs\n",
      "    2 conv     32  1 x 1 / 1   208 x 208 x  64   ->   208 x 208 x  32  0.177 BFLOPs\n",
      "    3 conv     64  3 x 3 / 1   208 x 208 x  32   ->   208 x 208 x  64  1.595 BFLOPs\n",
      "    4 res    1                 208 x 208 x  64   ->   208 x 208 x  64\n",
      "    5 conv    128  3 x 3 / 2   208 x 208 x  64   ->   104 x 104 x 128  1.595 BFLOPs\n",
      "    6 conv     64  1 x 1 / 1   104 x 104 x 128   ->   104 x 104 x  64  0.177 BFLOPs\n",
      "    7 conv    128  3 x 3 / 1   104 x 104 x  64   ->   104 x 104 x 128  1.595 BFLOPs\n",
      "    8 res    5                 104 x 104 x 128   ->   104 x 104 x 128\n",
      "    9 conv     64  1 x 1 / 1   104 x 104 x 128   ->   104 x 104 x  64  0.177 BFLOPs\n",
      "   10 conv    128  3 x 3 / 1   104 x 104 x  64   ->   104 x 104 x 128  1.595 BFLOPs\n",
      "   11 res    8                 104 x 104 x 128   ->   104 x 104 x 128\n",
      "   12 conv    256  3 x 3 / 2   104 x 104 x 128   ->    52 x  52 x 256  1.595 BFLOPs\n",
      "   13 conv    128  1 x 1 / 1    52 x  52 x 256   ->    52 x  52 x 128  0.177 BFLOPs\n",
      "   14 conv    256  3 x 3 / 1    52 x  52 x 128   ->    52 x  52 x 256  1.595 BFLOPs\n",
      "   15 res   12                  52 x  52 x 256   ->    52 x  52 x 256\n",
      "   16 conv    128  1 x 1 / 1    52 x  52 x 256   ->    52 x  52 x 128  0.177 BFLOPs\n",
      "   17 conv    256  3 x 3 / 1    52 x  52 x 128   ->    52 x  52 x 256  1.595 BFLOPs\n",
      "   18 res   15                  52 x  52 x 256   ->    52 x  52 x 256\n",
      "   19 conv    128  1 x 1 / 1    52 x  52 x 256   ->    52 x  52 x 128  0.177 BFLOPs\n",
      "   20 conv    256  3 x 3 / 1    52 x  52 x 128   ->    52 x  52 x 256  1.595 BFLOPs\n",
      "   21 res   18                  52 x  52 x 256   ->    52 x  52 x 256\n",
      "   22 conv    128  1 x 1 / 1    52 x  52 x 256   ->    52 x  52 x 128  0.177 BFLOPs\n",
      "   23 conv    256  3 x 3 / 1    52 x  52 x 128   ->    52 x  52 x 256  1.595 BFLOPs\n",
      "   24 res   21                  52 x  52 x 256   ->    52 x  52 x 256\n",
      "   25 conv    128  1 x 1 / 1    52 x  52 x 256   ->    52 x  52 x 128  0.177 BFLOPs\n",
      "   26 conv    256  3 x 3 / 1    52 x  52 x 128   ->    52 x  52 x 256  1.595 BFLOPs\n",
      "   27 res   24                  52 x  52 x 256   ->    52 x  52 x 256\n",
      "   28 conv    128  1 x 1 / 1    52 x  52 x 256   ->    52 x  52 x 128  0.177 BFLOPs\n",
      "   29 conv    256  3 x 3 / 1    52 x  52 x 128   ->    52 x  52 x 256  1.595 BFLOPs\n",
      "   30 res   27                  52 x  52 x 256   ->    52 x  52 x 256\n",
      "   31 conv    128  1 x 1 / 1    52 x  52 x 256   ->    52 x  52 x 128  0.177 BFLOPs\n",
      "   32 conv    256  3 x 3 / 1    52 x  52 x 128   ->    52 x  52 x 256  1.595 BFLOPs\n",
      "   33 res   30                  52 x  52 x 256   ->    52 x  52 x 256\n",
      "   34 conv    128  1 x 1 / 1    52 x  52 x 256   ->    52 x  52 x 128  0.177 BFLOPs\n",
      "   35 conv    256  3 x 3 / 1    52 x  52 x 128   ->    52 x  52 x 256  1.595 BFLOPs\n",
      "   36 res   33                  52 x  52 x 256   ->    52 x  52 x 256\n",
      "   37 conv    512  3 x 3 / 2    52 x  52 x 256   ->    26 x  26 x 512  1.595 BFLOPs\n",
      "   38 conv    256  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x 256  0.177 BFLOPs\n",
      "   39 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\n",
      "   40 res   37                  26 x  26 x 512   ->    26 x  26 x 512\n",
      "   41 conv    256  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x 256  0.177 BFLOPs\n",
      "   42 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\n",
      "   43 res   40                  26 x  26 x 512   ->    26 x  26 x 512\n",
      "   44 conv    256  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x 256  0.177 BFLOPs\n",
      "   45 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\n",
      "   46 res   43                  26 x  26 x 512   ->    26 x  26 x 512\n",
      "   47 conv    256  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x 256  0.177 BFLOPs\n",
      "   48 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\n",
      "   49 res   46                  26 x  26 x 512   ->    26 x  26 x 512\n",
      "   50 conv    256  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x 256  0.177 BFLOPs\n",
      "   51 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\n",
      "   52 res   49                  26 x  26 x 512   ->    26 x  26 x 512\n",
      "   53 conv    256  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x 256  0.177 BFLOPs\n",
      "   54 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\n",
      "   55 res   52                  26 x  26 x 512   ->    26 x  26 x 512\n",
      "   56 conv    256  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x 256  0.177 BFLOPs\n",
      "   57 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\n",
      "   58 res   55                  26 x  26 x 512   ->    26 x  26 x 512\n",
      "   59 conv    256  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x 256  0.177 BFLOPs\n",
      "   60 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\n",
      "   61 res   58                  26 x  26 x 512   ->    26 x  26 x 512\n",
      "   62 conv   1024  3 x 3 / 2    26 x  26 x 512   ->    13 x  13 x1024  1.595 BFLOPs\n",
      "   63 conv    512  1 x 1 / 1    13 x  13 x1024   ->    13 x  13 x 512  0.177 BFLOPs\n",
      "   64 conv   1024  3 x 3 / 1    13 x  13 x 512   ->    13 x  13 x1024  1.595 BFLOPs\n",
      "   65 res   62                  13 x  13 x1024   ->    13 x  13 x1024\n",
      "   66 conv    512  1 x 1 / 1    13 x  13 x1024   ->    13 x  13 x 512  0.177 BFLOPs\n",
      "   67 conv   1024  3 x 3 / 1    13 x  13 x 512   ->    13 x  13 x1024  1.595 BFLOPs\n",
      "   68 res   65                  13 x  13 x1024   ->    13 x  13 x1024\n",
      "   69 conv    512  1 x 1 / 1    13 x  13 x1024   ->    13 x  13 x 512  0.177 BFLOPs\n",
      "   70 conv   1024  3 x 3 / 1    13 x  13 x 512   ->    13 x  13 x1024  1.595 BFLOPs\n",
      "   71 res   68                  13 x  13 x1024   ->    13 x  13 x1024\n",
      "   72 conv    512  1 x 1 / 1    13 x  13 x1024   ->    13 x  13 x 512  0.177 BFLOPs\n",
      "   73 conv   1024  3 x 3 / 1    13 x  13 x 512   ->    13 x  13 x1024  1.595 BFLOPs\n",
      "   74 res   71                  13 x  13 x1024   ->    13 x  13 x1024\n",
      "   75 conv    512  1 x 1 / 1    13 x  13 x1024   ->    13 x  13 x 512  0.177 BFLOPs\n",
      "   76 conv   1024  3 x 3 / 1    13 x  13 x 512   ->    13 x  13 x1024  1.595 BFLOPs\n",
      "   77 conv    512  1 x 1 / 1    13 x  13 x1024   ->    13 x  13 x 512  0.177 BFLOPs\n",
      "   78 conv   1024  3 x 3 / 1    13 x  13 x 512   ->    13 x  13 x1024  1.595 BFLOPs\n",
      "   79 conv    512  1 x 1 / 1    13 x  13 x1024   ->    13 x  13 x 512  0.177 BFLOPs\n",
      "   80 conv   1024  3 x 3 / 1    13 x  13 x 512   ->    13 x  13 x1024  1.595 BFLOPs\n",
      "   81 conv     18  1 x 1 / 1    13 x  13 x1024   ->    13 x  13 x  18  0.006 BFLOPs\n",
      "   82 yolo\n",
      "   83 route  79\n",
      "   84 conv    256  1 x 1 / 1    13 x  13 x 512   ->    13 x  13 x 256  0.044 BFLOPs\n",
      "   85 upsample            2x    13 x  13 x 256   ->    26 x  26 x 256\n",
      "   86 route  85 61\n",
      "   87 conv    256  1 x 1 / 1    26 x  26 x 768   ->    26 x  26 x 256  0.266 BFLOPs\n",
      "   88 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\n",
      "   89 conv    256  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x 256  0.177 BFLOPs\n",
      "   90 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\n",
      "   91 conv    256  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x 256  0.177 BFLOPs\n",
      "   92 conv    512  3 x 3 / 1    26 x  26 x 256   ->    26 x  26 x 512  1.595 BFLOPs\n",
      "   93 conv     18  1 x 1 / 1    26 x  26 x 512   ->    26 x  26 x  18  0.012 BFLOPs\n",
      "   94 yolo\n",
      "   95 route  91\n",
      "   96 conv    128  1 x 1 / 1    26 x  26 x 256   ->    26 x  26 x 128  0.044 BFLOPs\n",
      "   97 upsample            2x    26 x  26 x 128   ->    52 x  52 x 128\n",
      "   98 route  97 36\n",
      "   99 conv    128  1 x 1 / 1    52 x  52 x 384   ->    52 x  52 x 128  0.266 BFLOPs\n",
      "  100 conv    256  3 x 3 / 1    52 x  52 x 128   ->    52 x  52 x 256  1.595 BFLOPs\n",
      "  101 conv    128  1 x 1 / 1    52 x  52 x 256   ->    52 x  52 x 128  0.177 BFLOPs\n",
      "  102 conv    256  3 x 3 / 1    52 x  52 x 128   ->    52 x  52 x 256  1.595 BFLOPs\n",
      "  103 conv    128  1 x 1 / 1    52 x  52 x 256   ->    52 x  52 x 128  0.177 BFLOPs\n",
      "  104 conv    256  3 x 3 / 1    52 x  52 x 128   ->    52 x  52 x 256  1.595 BFLOPs\n",
      "  105 conv     18  1 x 1 / 1    52 x  52 x 256   ->    52 x  52 x  18  0.025 BFLOPs\n",
      "  106 yolo\n",
      "Loading weights from darknet53.conv.74...Done!\n",
      "Learning Rate: 0.001, Momentum: 0.9, Decay: 0.0005\n",
      "Resizing\n",
      "576\n",
      "Loaded: 0.000068 seconds\n",
      "Region 82 Avg IOU: 0.279947, Class: 0.000000, Obj: 0.741919, No Obj: 0.570499, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.496064, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.413552, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.380889, Class: 0.000000, Obj: 0.615231, No Obj: 0.568928, .5R: 0.500000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.494740, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.414870, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.456301, Class: 0.000000, Obj: 0.525988, No Obj: 0.569202, .5R: 0.500000, .75R: 0.500000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.495916, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.416203, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.285010, Class: 0.000000, Obj: 0.788016, No Obj: 0.570352, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.496494, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.413959, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.077552, Class: 0.000000, Obj: 0.801272, No Obj: 0.568601, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.496815, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.413232, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.348749, Class: 0.000000, Obj: 0.800474, No Obj: 0.569156, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.495798, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.414368, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.097393, Class: 0.000000, Obj: 0.498365, No Obj: 0.568807, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.494364, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.417880, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.146664, Class: 0.000000, Obj: 0.767797, No Obj: 0.570563, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.496225, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.414906, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.395549, Class: 0.000000, Obj: 0.649350, No Obj: 0.569344, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.496815, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.415717, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.258895, Class: 0.000000, Obj: 0.609589, No Obj: 0.568375, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.495744, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.413625, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.222114, Class: 0.000000, Obj: 0.648398, No Obj: 0.569345, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.496423, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.414480, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.441240, Class: 0.000000, Obj: 0.534346, No Obj: 0.569592, .5R: 0.500000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.495959, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.413943, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.162541, Class: 0.000000, Obj: 0.793998, No Obj: 0.568229, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.495128, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.416363, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.361409, Class: 0.000000, Obj: 0.655120, No Obj: 0.570565, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.494733, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.415476, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.297247, Class: 0.000000, Obj: 0.733527, No Obj: 0.569735, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.496781, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.415155, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.205103, Class: 0.000000, Obj: 0.823806, No Obj: 0.570612, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.495312, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.422670, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.313335, Class: 0.000000, Obj: 0.725247, No Obj: 0.570881, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.495767, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.413362, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.303457, Class: 0.000000, Obj: 0.763140, No Obj: 0.568853, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.496828, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.414607, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.210588, Class: 0.000000, Obj: 0.746495, No Obj: 0.569144, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.496336, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.416708, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.440939, Class: 0.000000, Obj: 0.554264, No Obj: 0.570771, .5R: 0.500000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.495694, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.415639, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.407439, Class: 0.000000, Obj: 0.681611, No Obj: 0.568625, .5R: 0.500000, .75R: 0.500000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.496086, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.415827, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.285029, Class: 0.000000, Obj: 0.783606, No Obj: 0.571518, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.495767, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.414546, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.218752, Class: 0.000000, Obj: 0.619486, No Obj: 0.568725, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.496537, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.416272, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.279579, Class: 0.000000, Obj: 0.718916, No Obj: 0.571136, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.495997, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.415738, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.242228, Class: 0.000000, Obj: 0.733594, No Obj: 0.571165, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.495839, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.414649, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.178393, Class: 0.000000, Obj: 0.527897, No Obj: 0.570057, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.496205, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.417448, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.426977, Class: 0.000000, Obj: 0.574410, No Obj: 0.569832, .5R: 0.500000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.495780, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.414465, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.199918, Class: 0.000000, Obj: 0.804205, No Obj: 0.572149, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.495205, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.419230, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.373248, Class: 0.000000, Obj: 0.554069, No Obj: 0.568792, .5R: 0.500000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.496540, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.415386, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.410842, Class: 0.000000, Obj: 0.544312, No Obj: 0.569552, .5R: 0.500000, .75R: 0.500000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.494869, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.415524, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.120163, Class: 0.000000, Obj: 0.753187, No Obj: 0.570329, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.494994, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.413763, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.262512, Class: 0.000000, Obj: 0.590189, No Obj: 0.569752, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.496395, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.414734, .5R: -nan, .75R: -nan,  count: 0\n",
      "1: 1568.540283, 1568.540283 avg, 0.000000 rate, 20.722821 seconds, 64 images\n",
      "Loaded: 0.000081 seconds\n",
      "Region 82 Avg IOU: 0.317690, Class: 0.000000, Obj: 0.763855, No Obj: 0.568438, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.494493, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.416654, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.284993, Class: 0.000000, Obj: 0.769965, No Obj: 0.568365, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.495632, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.415333, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.413196, Class: 0.000000, Obj: 0.637164, No Obj: 0.569691, .5R: 0.500000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.495367, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.415218, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.178651, Class: 0.000000, Obj: 0.570671, No Obj: 0.569077, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.496337, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.415271, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.340877, Class: 0.000000, Obj: 0.717006, No Obj: 0.571583, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.495852, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.413120, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.474270, Class: 0.000000, Obj: 0.615676, No Obj: 0.570350, .5R: 0.500000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.496725, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.414090, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.446522, Class: 0.000000, Obj: 0.771471, No Obj: 0.568715, .5R: 0.500000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.495947, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.415521, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.161447, Class: 0.000000, Obj: 0.638274, No Obj: 0.568520, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.495385, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.416247, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.527758, Class: 0.000000, Obj: 0.625064, No Obj: 0.570387, .5R: 1.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.496923, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.415361, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.524075, Class: 0.000000, Obj: 0.608741, No Obj: 0.568243, .5R: 0.500000, .75R: 0.500000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.496156, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.414702, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 82 Avg IOU: 0.121618, Class: 0.000000, Obj: 0.752437, No Obj: 0.570460, .5R: 0.000000, .75R: 0.000000,  count: 2\n",
      "Region 94 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.494483, .5R: -nan, .75R: -nan,  count: 0\n",
      "Region 106 Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.416186, .5R: -nan, .75R: -nan,  count: 0\n",
      "^C\n"
     ]
    }
   ],
   "source": [
    "# If your output cell shows something similar like belows, then congratulation, your model has started training successfully!\n",
    "%cd /content/darknet\n",
    "!./darknet detector train data/yolo.data cfg/yolov3_custom_train.cfg darknet53.conv.74"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "P-hi922OjHEZ"
   },
   "source": [
    "## Train with pre-trained weight. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "lejrT4WsfK2j"
   },
   "outputs": [],
   "source": [
    "# copy pre-trained weight from your Drive to folder darkner\n",
    "!cp /content/drive/'My Drive'/YOLOv3_files/yolov3_900.weights /content/darknet\n",
    "\n",
    "# train annd save loss result in log.txt\n",
    "%cd /content/darknet\n",
    "!./darknet detector train data/yolo.data cfg/yolov3_custom_train.cfg yolov3_900.weights | tee log.txt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "4dcTOaXN_QPG"
   },
   "source": [
    "## The End!"
   ]
  }
 ],
 "metadata": {
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   "name": "Yolov3_Gun_Detection.ipynb",
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  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
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