crop_labels.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "crop_labels.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyM8Hkqx3gmPs0QhjAbjHDJm",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/emailic/YOLOv5-Microplasticos/blob/main/crop_labels.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "File for cropping label files according to cropped images, previously cropped using the file crop_images.ipynb. Make sure to adjust the overlap to be one third of your desired output image size, as well as the original image size pixels in function convert_coordinates."
      ],
      "metadata": {
        "id": "FkOPj5ioNt0k"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "I3bZzc5srwhp",
        "outputId": "d52389ce-20fe-4c0c-8913-723519f6fefb"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive', force_remount=True)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "from os import walk, getcwd\n",
        "from PIL import Image, ImageFont, ImageDraw, ImageEnhance\n",
        "mypath = '/content/drive/My Drive/microplasticos/labels/train'\n",
        "outpath = \"/content/drive/My Drive/microplasticos/labels/train_576\""
      ],
      "metadata": {
        "id": "GxNEdbT7vn3y"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "label_name_list = []\n",
        "for file in os.listdir(mypath):\n",
        "    label_name_list.append(file)"
      ],
      "metadata": {
        "id": "1NIn-9g6vzxE"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#check if the row is present in the cut image\n",
        "def isInTheImage(label_dir, row):\n",
        "    n=label_dir.find('grid_')\n",
        "    pcords=label_dir[(n+5):].strip('.jpg') #picture coordinates\n",
        "    #print(cords)\n",
        "    pcords=pcords.split('_')\n",
        "    #print(cords)\n",
        "    #pixwl boundaries of the image\n",
        "    top=int(pcords[0])#/3456\n",
        "    left=int(pcords[1])#/4608\n",
        "    right= left + (192 * 3)#/4608 #before there was 384 instead of 192\n",
        "    bottom= top + (192 * 3)#/3456\n",
        "\n",
        "    bbcords=row.split()[1:] #bounding box (label) coordinates\n",
        "    lbbcords=[] #list of bounding box coordinates\n",
        "    for x in bbcords:\n",
        "      lbbcords.append(float(x))\n",
        "      \n",
        "    #print('four coords', coords)\n",
        "    if 3456*(lbbcords[1]+ 0.5*lbbcords[3])>top and 3456*(lbbcords[1]- 0.5*lbbcords[3])<bottom and 4608*((lbbcords[2]/2+lbbcords[0]))<right and 4608*((lbbcords[0]-lbbcords[2]/2))>left:\n",
        "      return True\n",
        "    else:\n",
        "      #print('croppet photo top bottom right and left',top, bottom, right, left  )\n",
        "      #print('top, bottom, right and left, ', 3456*(lbbcords[1]+ 0.5*lbbcords[3]), 3456*(lbbcords[1]- 0.5*lbbcords[3]), 4608*((lbbcords[2]/2+lbbcords[0])),4608*((lbbcords[0]-lbbcords[2]/2)) )\n",
        "      return False\n",
        "    \n",
        "\n",
        "isInTheImage('/content/drive/My Drive/microplasticos/labels/train_1152/tar-03-olympus-10-01-2020.jpg_grid_0_0.jpg','0 0.98 0.95538580246913578 0.0001 0.001')\n",
        "\n",
        "      \n",
        "    \n",
        "\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DlVSxruFxzsq",
        "outputId": "348cefc3-d7b2-4db4-db4a-117cf3197a95"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "False"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def convert_coordinates(line,image): #original label directory, cropped image\n",
        "    idx=image.find('grid_')\n",
        "    pcords=image[(idx+5):].strip('.jpg').split('_') #picture top left  coordinates\n",
        "    #pixwl boundaries of the image, with respect to the original image\n",
        "    top=int(pcords[0])#/3456\n",
        "    left=int(pcords[1])#/4608\n",
        "    right= left + (192 * 3)#/4608 #before there was 384 instead of 192\n",
        "    bottom= top + (192 * 3)#/3456\n",
        "    #original image coordinates converted and normalized to the cropped picture\n",
        "    line=line.split(' ')\n",
        "    w=float(line[3])*8 # width/576,  so 4608/576  so 8 \n",
        "    h=float(line[4])*6 # height/576\n",
        "    x=(float(line[1])*4608-left-w)/576 #X\n",
        "    y=(float(line[2])*3456-top-h)/576 #y\n",
        "    if x<0:\n",
        "      x=0\n",
        "    if x>1:\n",
        "      x=1\n",
        "    if y<0:\n",
        "      y=0\n",
        "    if y>1:\n",
        "      y=1\n",
        "    #in case the bounding box is outside the picture\n",
        "    if x-w/2<0:\n",
        "      w=2*x\n",
        "    if y-h/2<0:\n",
        "      h=2*y\n",
        "    if w/2+x>1:\n",
        "      w=2*(1-x)\n",
        "    if h/2+y>1:\n",
        "      h=2*(1-y)\n",
        "    \n",
        "  \n",
        "    newline=line[0]+' '+str(x)+' '+str(y)+' '+str(w)+' '+str(h)\n",
        "    return newline\n",
        "\n",
        "convert_coordinates('3 0.515140892094017 0.3327991452991453 0.04173344017094018 0.06009615384615382', '20220516_113208.jpg_grid_1152_1536.jpg' )\n",
        "\n",
        "    \n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "id": "zOxNeKlUlpbg",
        "outputId": "7206b27a-1efe-4bc8-9c4a-3e183e4938ff"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'3 1 0 0 0'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "original=  open('/content/drive/My Drive/microplasticos/labels/train/20220516_113208.txt', \"r\")\n",
        "#new_path=os.path.join(outpath, filename.strip('.txt') + \".jpg_grid_\" + str(top) + \"_\" + str(left) + \".txt\")\n",
        "#new = open('/content/drive/My Drive/microplasticos/labels/train_1152/tar-03-olympus-10-01-2020.jpg_grid_0_3456.txt',  \"a+\")\n",
        "lines = original.read().split('\\n')\n",
        "#print(lines)\n",
        "#print(mypath+'/'+filename)\n",
        "#print(new_path)\n",
        "for line in lines:\n",
        "    #print(line)\n",
        "    if line!='':\n",
        "        #print(new_path)\n",
        "        if isInTheImage('/content/drive/My Drive/microplasticos/images/train_1152/20220516_113208.jpg_grid_384_1536.jpg', line):\n",
        "            print(line)\n",
        "            #new.write(line+'\\n')\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NjNZVWTb71q8",
        "outputId": "ac12b0e6-9542-4c08-cb8d-cb416678f138"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "3 0.39912192841880334 0.18867966524216523 0.03338675213675213 0.04562856125356126\n",
            "3 0.4233273237179487 0.2543402777777778 0.05174946581196573 0.06566061253561249\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "overlap=192\n",
        "\n",
        "grid_image = Image.open('/content/drive/My Drive/microplasticos/images/train/20220516_113208.jpg')\n",
        "grid_width, grid_height = grid_image.size\n",
        "\n",
        "for h in range(1, int(grid_height/overlap) - 1): #(1, 8)(1,17)\n",
        "    for w in range(1, int(grid_width/overlap) - 1): #(1, 11) (1,23)\n",
        "          left = overlap * (w - 1) \n",
        "          right = left + (overlap * 3)\n",
        "          top = overlap * (h - 1) \n",
        "          bot = top + (overlap * 3)\n",
        "          #print(left, top, right, bot)\n",
        "          \n",
        "          #crop_img = grid_image.crop((left, top, right, bot))\n",
        "          for filename in label_name_list:\n",
        "              original=  open(mypath+'/'+filename, \"r\")\n",
        "              img_path=os.path.join(outpath, filename.strip('.txt') + \".jpg_grid_\" + str(top) + \"_\" + str(left) + \".jpg\")\n",
        "              new_path=os.path.join(outpath, filename.strip('.txt') + \".jpg_grid_\" + str(top) + \"_\" + str(left) + \".txt\")\n",
        "              new = open(new_path,  \"a+\")\n",
        "              lines = original.read().split('\\n')\n",
        "              #print(lines)\n",
        "              #print(mypath+'/'+filename)\n",
        "              #print(new_path)\n",
        "              print(new_path)\n",
        "              #print(filename)\n",
        "              for line in lines:\n",
        "                  #print(line)\n",
        "                  if line!='':\n",
        "                      #print(new_path)\n",
        "                      if isInTheImage(img_path, line):\n",
        "                          #print(line)\n",
        "                          #before writing, we need to normalize the new bounding box values\n",
        "                          newline = convert_coordinates(line, img_path)\n",
        "                          new.write(newline +'\\n')\n",
        "                          print(newline)\n",
        "        \n",
        "        \n",
        "\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VdlZW_MdwHq5",
        "outputId": "8d9ded40-17fb-465b-9551-f5e86cb84e22"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1;30;43mOutput streaming troncato alle ultime 5000 righe.\u001b[0m\n",
            "0 0.22507032306993066 0.5825830334115506 0.14031582952815805 0.13080289193302894\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/line-03-olympus-10-01-2020.jpg_grid_1728_2112.txt\n",
            "1 0.1275874859948421 0.05212941162480973 0.126046423135464 0.10425882324961946\n",
            "1 0.6185401208143076 0.33761663257864005 0.21404109589041156 0.1355593607305935\n",
            "1 0.5850796840647725 0.21384935074200928 0.309170471841705 0.1926369863013701\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/line-04-olympus-10-01-2020.jpg_grid_1728_2112.txt\n",
            "1 0.13550886210965837 0 0.14297385620915054 0\n",
            "1 0.15060882088174773 0.2898702739197525 0.2689270152505448 0.13276143790849676\n",
            "1 0.4893620642701515 0.5161332569293149 0.245098039215686 0.1974400871459699\n",
            "1 0.19647605377027355 0.6318385378842892 0.31998910675381215 0.21786492374727706\n",
            "1 0.4826247049745821 0.9330516880749202 0.20424836601307164 0.13389662385015955\n",
            "1 0.7192892251422174 0.25903208023178376 0.15999455337690607 0.24850217864923763\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/organic-03-olympus-10-01-2020.jpg_grid_1728_2112.txt\n",
            "2 0.7933729109673123 0.276258954562991 0.3353851010101015 0.3748421717171718\n",
            "2 0.2864523051697526 0.18135647928942167 0.2761994949494956 0.36271295857884334\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/pellet-03-olympus-10-01-2020.jpg_grid_1728_2112.txt\n",
            "3 0.30982260230909947 0 0.2829218106995886 0\n",
            "3 0.693900346864996 0.14375428669410106 0.3504372427983537 0.2875085733882021\n",
            "3 0.468982865726451 0.2789302733481931 0.27327674897119336 0.22505144032921798\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/ar-03-olympus-10-01-2020.jpg_grid_1728_2112.txt\n",
            "4 0.3342626614556913 0.7630480839358195 0.25922754946727544 0.29252283105022847\n",
            "4 0.5079976389417382 0.6323525428610689 0.18788051750380516 0.2306887366818873\n",
            "4 0.7017783247716887 0.6347390350181805 0.2140410958904108 0.22593226788432275\n",
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            "4 0.3272683401509387 0.18873337878403473 0.17836757990867605 0.27587519025875196\n",
            "4 0.5614459797268733 0 0.2235540334855399 0\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/20220516_113208.jpg_grid_1728_2112.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/20220516_113718.jpg_grid_1728_2112.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/20220516_114747.jpg_grid_1728_2112.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/20220516_115125.jpg_grid_1728_2112.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00003.jpg_grid_1728_2112.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00004.jpg_grid_1728_2112.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00006.jpg_grid_1728_2112.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00007.jpg_grid_1728_2112.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00010.jpg_grid_1728_2112.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00012.jpg_grid_1728_2112.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00013.jpg_grid_1728_2112.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00015.jpg_grid_1728_2112.txt\n",
            "4 0.49523497554157875 1 0.20880503144654114 0\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/line-05-olympus-10-01-2020.jpg_grid_1728_2112.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/fragment-03-olympus-10-01-2020.jpg_grid_1728_2304.txt\n",
            "0 0.8908881605204338 0.19598942119651996 0.08979885057471253 0.05836925287356346\n",
            "0 0.4363044632327115 1 0.3796860885275516 0\n",
            "0 0.5135503207973948 0.44326226376204936 0.1950152207001518 0.24257990867579932\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/line-03-olympus-10-01-2020.jpg_grid_1728_2304.txt\n",
            "1 0.2852067874809743 0.33761663257864005 0.21404109589041156 0.1355593607305935\n",
            "1 0.25174635073143914 0.21384935074200928 0.309170471841705 0.1926369863013701\n",
            "1 0.8049211945607139 0.45940618129545086 0.1736111111111111 0.5327245053272452\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/line-04-olympus-10-01-2020.jpg_grid_1728_2304.txt\n",
            "1 0.15602873093681818 0.5161332569293149 0.245098039215686 0.1974400871459699\n",
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            "/content/drive/My Drive/microplasticos/labels/train_576/organic-03-olympus-10-01-2020.jpg_grid_1728_2304.txt\n",
            "2 0.6410077883873444 0.822910638503086 0.6431502525252526 0.2761994949494956\n",
            "2 0.46003957763397896 0.276258954562991 0.3353851010101015 0.3748421717171718\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/pellet-03-olympus-10-01-2020.jpg_grid_1728_2304.txt\n",
            "3 0.36056701353166265 0.14375428669410106 0.3504372427983537 0.2875085733882021\n",
            "3 0.7659721775691587 0.45096178233596146 0.17039609053497962 0.20897633744855937\n",
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            "3 0.8268566297296519 0.7869146876428894 0.2861368312757201 0.218621399176955\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/ar-03-olympus-10-01-2020.jpg_grid_1728_2304.txt\n",
            "4 0.17466430560840487 0.6323525428610689 0.18788051750380516 0.2306887366818873\n",
            "4 0.36844499143835535 0.6347390350181805 0.2140410958904108 0.22593226788432275\n",
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            "/content/drive/My Drive/microplasticos/labels/train_576/20220516_113208.jpg_grid_1728_2304.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/20220516_113718.jpg_grid_1728_2304.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/20220516_114747.jpg_grid_1728_2304.txt\n",
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            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00003.jpg_grid_1728_2304.txt\n",
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            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00006.jpg_grid_1728_2304.txt\n",
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            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00010.jpg_grid_1728_2304.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00012.jpg_grid_1728_2304.txt\n",
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            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00013.jpg_grid_1728_2304.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00015.jpg_grid_1728_2304.txt\n",
            "4 0.8195842068483576 0.8839475235849057 0.31194968553459146 0.23210495283018862\n",
            "4 0.16190164220824543 1 0.20880503144654114 0\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/line-05-olympus-10-01-2020.jpg_grid_1728_2304.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/fragment-03-olympus-10-01-2020.jpg_grid_1728_2496.txt\n",
            "0 0.5575548271871006 0.19598942119651996 0.08979885057471253 0.05836925287356346\n",
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            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00006.jpg_grid_2880_3264.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00007.jpg_grid_2880_3264.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00010.jpg_grid_2880_3264.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00012.jpg_grid_2880_3264.txt\n",
            "0 0.5643636220966742 0.006686970338983311 0.3502824858757061 0.013373940677966621\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00013.jpg_grid_2880_3264.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00015.jpg_grid_2880_3264.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/line-05-olympus-10-01-2020.jpg_grid_2880_3264.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/fragment-03-olympus-10-01-2020.jpg_grid_2880_3456.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/line-03-olympus-10-01-2020.jpg_grid_2880_3456.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/line-04-olympus-10-01-2020.jpg_grid_2880_3456.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/organic-03-olympus-10-01-2020.jpg_grid_2880_3456.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/pellet-03-olympus-10-01-2020.jpg_grid_2880_3456.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/ar-03-olympus-10-01-2020.jpg_grid_2880_3456.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/20220516_113208.jpg_grid_2880_3456.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/20220516_113718.jpg_grid_2880_3456.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/20220516_114747.jpg_grid_2880_3456.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/20220516_115125.jpg_grid_2880_3456.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00003.jpg_grid_2880_3456.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00004.jpg_grid_2880_3456.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00006.jpg_grid_2880_3456.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00007.jpg_grid_2880_3456.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00010.jpg_grid_2880_3456.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00012.jpg_grid_2880_3456.txt\n",
            "0 0.23103028876334086 0.006686970338983311 0.3502824858757061 0.013373940677966621\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00013.jpg_grid_2880_3456.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00015.jpg_grid_2880_3456.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/line-05-olympus-10-01-2020.jpg_grid_2880_3456.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/fragment-03-olympus-10-01-2020.jpg_grid_2880_3648.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/line-03-olympus-10-01-2020.jpg_grid_2880_3648.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/line-04-olympus-10-01-2020.jpg_grid_2880_3648.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/organic-03-olympus-10-01-2020.jpg_grid_2880_3648.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/pellet-03-olympus-10-01-2020.jpg_grid_2880_3648.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/ar-03-olympus-10-01-2020.jpg_grid_2880_3648.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/20220516_113208.jpg_grid_2880_3648.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/20220516_113718.jpg_grid_2880_3648.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/20220516_114747.jpg_grid_2880_3648.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/20220516_115125.jpg_grid_2880_3648.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00003.jpg_grid_2880_3648.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00004.jpg_grid_2880_3648.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00006.jpg_grid_2880_3648.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00007.jpg_grid_2880_3648.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00010.jpg_grid_2880_3648.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00012.jpg_grid_2880_3648.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00013.jpg_grid_2880_3648.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00015.jpg_grid_2880_3648.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/line-05-olympus-10-01-2020.jpg_grid_2880_3648.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/fragment-03-olympus-10-01-2020.jpg_grid_2880_3840.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/line-03-olympus-10-01-2020.jpg_grid_2880_3840.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/line-04-olympus-10-01-2020.jpg_grid_2880_3840.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/organic-03-olympus-10-01-2020.jpg_grid_2880_3840.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/pellet-03-olympus-10-01-2020.jpg_grid_2880_3840.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/ar-03-olympus-10-01-2020.jpg_grid_2880_3840.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/20220516_113208.jpg_grid_2880_3840.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/20220516_113718.jpg_grid_2880_3840.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/20220516_114747.jpg_grid_2880_3840.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/20220516_115125.jpg_grid_2880_3840.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00003.jpg_grid_2880_3840.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00004.jpg_grid_2880_3840.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00006.jpg_grid_2880_3840.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00007.jpg_grid_2880_3840.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00010.jpg_grid_2880_3840.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00012.jpg_grid_2880_3840.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00013.jpg_grid_2880_3840.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00015.jpg_grid_2880_3840.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/line-05-olympus-10-01-2020.jpg_grid_2880_3840.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/fragment-03-olympus-10-01-2020.jpg_grid_2880_4032.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/line-03-olympus-10-01-2020.jpg_grid_2880_4032.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/line-04-olympus-10-01-2020.jpg_grid_2880_4032.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/organic-03-olympus-10-01-2020.jpg_grid_2880_4032.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/pellet-03-olympus-10-01-2020.jpg_grid_2880_4032.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/ar-03-olympus-10-01-2020.jpg_grid_2880_4032.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/20220516_113208.jpg_grid_2880_4032.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/20220516_113718.jpg_grid_2880_4032.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/20220516_114747.jpg_grid_2880_4032.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/20220516_115125.jpg_grid_2880_4032.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00003.jpg_grid_2880_4032.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00004.jpg_grid_2880_4032.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00006.jpg_grid_2880_4032.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00007.jpg_grid_2880_4032.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00010.jpg_grid_2880_4032.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00012.jpg_grid_2880_4032.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00013.jpg_grid_2880_4032.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/DSC00015.jpg_grid_2880_4032.txt\n",
            "/content/drive/My Drive/microplasticos/labels/train_576/line-05-olympus-10-01-2020.jpg_grid_2880_4032.txt\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(grid_height/overlap)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LsR-5RFuMP1f",
        "outputId": "1b902f06-e6c9-4be1-8401-fc0d6ecb89b0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "18.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "l=os.listdir(outpath)\n",
        "for x in l:\n",
        "  if 'ar-03' in x:\n",
        "    i=x.find('.')\n",
        "    cn= 'tar-03-olympus-10-01-2020' +x[i:] #correcly renaming the file\n",
        "    print(x, 'renamed to ', cn)\n",
        "    os.rename(outpath+'/'+x, outpath+'/'+cn)\n"
      ],
      "metadata": {
        "id": "dvIKMPbOxNro",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "93a963cb-7fa3-4990-f237-b8b76d1a0664"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "tar-03-olympus-10-01-2020.jpg_grid_0_0.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_0_0.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_0_192.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_0_192.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_0_384.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_0_384.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_0_576.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_0_576.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_0_768.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_0_768.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_0_960.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_0_960.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_0_1152.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_0_1152.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_0_1344.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_0_1344.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_0_1536.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_0_1536.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_0_1728.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_0_1728.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_0_1920.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_0_1920.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_0_2112.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_0_2112.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_0_2304.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_0_2304.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_0_2496.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_0_2496.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_0_2688.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_0_2688.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_0_2880.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_0_2880.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_0_3072.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_0_3072.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_0_3264.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_0_3264.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_0_3456.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_0_3456.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_0_3648.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_0_3648.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_0_3840.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_0_3840.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_0_4032.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_0_4032.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_192_0.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_192_0.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_192_192.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_192_192.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_192_384.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_192_384.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_192_576.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_192_576.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_192_768.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_192_768.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_192_960.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_192_960.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_192_1152.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_192_1152.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_192_1344.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_192_1344.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_192_1536.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_192_1536.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_192_1728.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_192_1728.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_192_1920.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_192_1920.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_192_2112.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_192_2112.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_192_2304.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_192_2304.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_192_2496.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_192_2496.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_192_2688.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_192_2688.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_192_2880.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_192_2880.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_192_3072.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_192_3072.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_192_3264.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_192_3264.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_192_3456.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_192_3456.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_192_3648.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_192_3648.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_192_3840.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_192_3840.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_192_4032.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_192_4032.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_384_0.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_384_0.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_384_192.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_384_192.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_384_384.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_384_384.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_384_576.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_384_576.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_384_768.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_384_768.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_384_960.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_384_960.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_384_1152.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_384_1152.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_384_1344.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_384_1344.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_384_1536.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_384_1536.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_384_1728.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_384_1728.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_384_1920.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_384_1920.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_384_2112.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_384_2112.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_384_2304.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_384_2304.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_384_2496.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_384_2496.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_384_2688.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_384_2688.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_384_2880.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_384_2880.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_384_3072.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_384_3072.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_384_3264.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_384_3264.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_384_3456.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_384_3456.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_384_3648.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_384_3648.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_384_3840.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_384_3840.txt\n",
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            "tar-03-olympus-10-01-2020.jpg_grid_2880_2112.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_2880_2112.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_2880_2304.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_2880_2304.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_2880_2496.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_2880_2496.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_2880_2688.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_2880_2688.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_2880_2880.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_2880_2880.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_2880_3072.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_2880_3072.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_2880_3264.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_2880_3264.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_2880_3456.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_2880_3456.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_2880_3648.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_2880_3648.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_2880_3840.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_2880_3840.txt\n",
            "tar-03-olympus-10-01-2020.jpg_grid_2880_4032.txt renamed to  tar-03-olympus-10-01-2020.jpg_grid_2880_4032.txt\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(os.listdir(outpath))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "obGAmlMeC7WV",
        "outputId": "9d91b4a7-eedf-4b39-fa4a-f664b0e0a803"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "6688"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    }
  ]
}