re_split.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import shutil\n",
    "import numpy as np\n",
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "import json\n",
    "\n",
    "names = ['aphanizomenon', 'detritus', 'dolichospermum', 'microcystis', 'oscillatoria', 'water bubble', 'woronichinia']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'b_ds_copy'"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# shutil.copytree('b_ds', 'b_ds_copy')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # shutil.rmtree('b_ds')\n",
    "# shutil.rmtree('b_ds_copy')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'b_ds'"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# # reset b_ds\n",
    "\n",
    "# shutil.rmtree('b_ds')\n",
    "# shutil.copytree('b_ds_copy', 'b_ds')\n",
    "\n",
    "# # read data.yaml from b_ds\n",
    "# with open('b_ds/data.yaml', 'r') as f:\n",
    "#     data = f.read()\n",
    "\n",
    "# # remove everything after \"roboflow\"\n",
    "# data = data.split('roboflow')[0] # this will be the same...\n",
    "\n",
    "# # get all names from data.yaml\n",
    "# names = data.split('names: ')[1]\n",
    "\n",
    "# # convert string names to list\n",
    "# names = eval(names)\n",
    "# print(names)\n",
    "\n",
    "# # rewrite train, val, test to go to final_ds/{split}/images instead of ../{split}/images\n",
    "# data = data.replace('../train/images', 'final_ds/train/images')\n",
    "# data = data.replace('../valid/images', 'final_ds/valid/images')\n",
    "# data = data.replace('../test/images', 'final_ds/test/images')\n",
    "\n",
    "# print(data)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "path = os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "microcystis-77394464-original.jpg\n",
      "['3 0.5 0.5107421875 1 0.978515625\\n', '3 0.5 0.5107421875 1 0.978515625']\n",
      "microcystis-101618929-original.jpg\n",
      "['3 0.5 0.5126953125 1 0.974609375\\n', '3 0.5 0.5126953125 1 0.974609375']\n",
      "dolichospermum-2483425-original.jpg\n",
      "['2 0.515625 0.5078125 0.2197265625 0.23828125\\n', '2 0.515625 0.5078125 0.2197265625 0.23828125']\n",
      "dolichospermum-217486111-original.jpg\n",
      "['2 0.5859375 0.548828125 0.82421875 0.90234375\\n', '2 0.5859375 0.548828125 0.82421875 0.90234375\\n', '2 0.5859375 0.548828125 0.82421875 0.90234375']\n",
      "microcystis-SRO72021-72121-14_lab.jpg\n",
      "['3 0.5263671875 0.4736328125 0.6162109375 0.58984375\\n', '3 0.525390625 0.4736328125 0.6162109375 0.58984375\\n', '3 0.5263671875 0.4736328125 0.6162109375 0.58984375']\n",
      "dolichospermum-88396277-original.jpg\n",
      "['2 0.138671875 0.16015625 0.275390625 0.3203125\\n', '2 0.138671875 0.16015625 0.275390625 0.3203125\\n', '2 0.17578125 0.83984375 0.126953125 0.3193359375\\n', '2 0.138671875 0.16015625 0.275390625 0.3203125\\n', '2 0.5341796875 0.2431640625 0.8994140625 0.390625\\n', '2 0.6474609375 0.6064453125 0.080078125 0.630859375\\n', '2 0.4521484375 0.8720703125 0.185546875 0.255859375\\n', '2 0.9365234375 0.208984375 0.126953125 0.03515625\\n', '2 0.4052734375 0.8515625 0.1064453125 0.146484375\\n', '2 0.49609375 0.2490234375 0.16796875 0.25390625']\n",
      "dolichospermum-4120-6_lab.jpg\n",
      "['2 0.462890625 0.4326171875 0.408203125 0.7822265625\\n', '2 0.462890625 0.4326171875 0.408203125 0.7822265625']\n",
      "aphanizomenon-136561506-original.jpg\n",
      "['0 0.412109375 0.5 0.82421875 1\\n', '0 0.412109375 0.5 0.82421875 1']\n"
     ]
    }
   ],
   "source": [
    "\"\"\"\n",
    "train: WARNING ⚠️ /content/yolov5/final_ds/train/images/MRB62321-6231-dolichospermum-1_lab.jpg: 2 duplicate labels removed\n",
    "train: WARNING ⚠️ /content/yolov5/final_ds/train/images/aphanizomenon-136561506-original.jpg: 1 duplicate labels removed\n",
    "train: WARNING ⚠️ /content/yolov5/final_ds/train/images/dolichospermum-217486111-original.jpg: 2 duplicate labels removed\n",
    "train: WARNING ⚠️ /content/yolov5/final_ds/train/images/dolichospermum-2483425-original.jpg: 1 duplicate labels removed\n",
    "train: WARNING ⚠️ /content/yolov5/final_ds/train/images/dolichospermum-4120-6_lab.jpg: 1 duplicate labels removed\n",
    "train: WARNING ⚠️ /content/yolov5/final_ds/train/images/dolichospermum-88396277-original.jpg: 2 duplicate labels removed\n",
    "train: WARNING ⚠️ /content/yolov5/final_ds/train/images/microcystis-101618929-original.jpg: 1 duplicate labels removed\n",
    "train: WARNING ⚠️ /content/yolov5/final_ds/train/images/microcystis-77394464-original.jpg: 1 duplicate labels removed\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "dupes = [\n",
    "    'MRB62321-6231-dolichospermum-1_lab', \n",
    "    'aphanizomenon-136561506-original.jpg', \n",
    "    'dolichospermum-217486111-original.jpg', \n",
    "    'dolichospermum-2483425-original.jpg', \n",
    "    'dolichospermum-4120-6_lab.jpg', \n",
    "    'dolichospermum-88396277-original.jpg', \n",
    "    'microcystis-101618929-original.jpg', \n",
    "    'microcystis-77394464-original.jpg',\n",
    "    'microcystis-SRO72021-72121-14_lab.jpg'\n",
    "]\n",
    "\n",
    "def no_dupes(lines):\n",
    "    for i, line in enumerate(lines):\n",
    "        for j, line2 in enumerate(lines):\n",
    "            if line == line2.strip():\n",
    "                return False\n",
    "    return True\n",
    "# remove duplicate labels\n",
    "for split in ['train', 'valid', 'test']:\n",
    "    for file in os.listdir(f'b_ds/{split}/images'):\n",
    "        if file in dupes:\n",
    "            print(file)\n",
    "            with open(f'b_ds/{split}/labels/{file[:-4]}.txt', 'r+') as f:\n",
    "                lines = f.readlines()\n",
    "\n",
    "                # remove '\\n' from lines\n",
    "                \n",
    "                # print(lines)\n",
    "                # replace duplicate labels with new labels\n",
    "                \n",
    "                while(no_dupes(lines)):\n",
    "                    for i, line in enumerate(lines):\n",
    "                        # if you have seen that line before\n",
    "                        for j, line2 in enumerate(lines):\n",
    "                            if line == line2.strip():\n",
    "                                # get rid of the line\n",
    "                                try:\n",
    "                                    lines.remove(line)\n",
    "                                \n",
    "                                except:\n",
    "                                    lines.remove(line + \"\\n\")\n",
    "                \n",
    "                # add back in \\n\n",
    "\n",
    "                print(lines)\n",
    "\n",
    "                \n",
    "\n",
    "                    \n",
    "                \n",
    "            # lines = list(set(lines))\n",
    "            # with open(f'b_ds/{split}/labels/{file}', 'w') as f:\n",
    "            #     # if \n",
    "            #     f.writelines(lines)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## UTILS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def check_freqs_dir(base = \"final_ds\"):\n",
    "    splits = [os.listdir(f'{base}/train/images'), os.listdir(f'{base}/valid/images'), os.listdir(f'{base}/test/images')]\n",
    "    print(\"printing frequency information\")\n",
    "    trainlen, vallen, testlen = len(os.listdir(f'{base}/train/images')), len(os.listdir(f'{base}/valid/images')), len(os.listdir(f'{base}/test/images'))\n",
    "    print(trainlen, vallen, testlen)\n",
    "    print(\"total dataset size: \", trainlen + vallen + testlen)\n",
    "\n",
    "    print(\"train\", trainlen, \"valid\", vallen, \"test\", testlen)\n",
    "\n",
    "    splitarr = ['train', 'valid', 'test']\n",
    "    # dictionary storing percentage frequencies across splits\n",
    "    freqs = {}\n",
    "    for name in names:\n",
    "        freqs[name] = [0,0,0]\n",
    "    \n",
    "    freqs[\"background\"] = [0,0,0]\n",
    "\n",
    "    \n",
    "    for i in range(len(splits)):\n",
    "        for name in names:\n",
    "            for file in splits[i]:\n",
    "                if name.lower() in file.lower():\n",
    "                    freqs[name][i] += 1\n",
    "    print(\"background frequencies\")\n",
    "    # check background frequencies\n",
    "    for i in range(len(splits)):\n",
    "        for file in splits[i]:\n",
    "            if \"background\" in file:\n",
    "                freqs[\"background\"][i] += 1\n",
    "    \n",
    "    print(freqs)\n",
    "    \n",
    "    for name in names:\n",
    "        if sum(freqs[name]) == 0:\n",
    "            continue\n",
    "        for i in range(len(freqs[name])):\n",
    "            print(name, splitarr[i], freqs[name][i]/sum(freqs[name]), freqs[name][i])\n",
    "        \n",
    "        # print total number of images\n",
    "        print(f\"total number of {name}: \", sum(freqs[name]))\n",
    "\n",
    "    \n",
    "\n",
    "    for i in range(len(freqs[\"background\"])):\n",
    "        if sum(freqs[\"background\"]) == 0:\n",
    "            continue\n",
    "        print(\"background\", splitarr[i], freqs[\"background\"][i]/sum(freqs[\"background\"]), freqs[\"background\"][i])\n",
    "\n",
    "    print(\"total background images\", sum(freqs[\"background\"]))\n",
    "    # print proportion of background images\n",
    "    print(\"proportion of background images: \", sum(freqs[\"background\"])/(trainlen+vallen+testlen))\n",
    "\n",
    "def check_freqs(ftrain, fval, ftest):\n",
    "    splits = [ftrain, fval, ftest]\n",
    "    print(\"printing frequency information\")\n",
    "    print(len(ftrain), len(fval), len(ftest))\n",
    "    print(len(ftrain)/(len(ftrain)+len(fval)+len(ftest)))\n",
    "    splitarr = ['train', 'val', 'test']\n",
    "    # dictionary storing percentage frequencies across splits\n",
    "    freqs = {}\n",
    "    for name in names:\n",
    "        freqs[name] = [0,0,0]\n",
    "    \n",
    "    freqs[\"background\"] = [0,0,0]\n",
    "\n",
    "    print(\"total dataset size: \", len(ftrain)+len(fval)+len(ftest))\n",
    "    for i in range(len(splits)):\n",
    "        for name in names:\n",
    "            for file in splits[i]:\n",
    "                if name in file:\n",
    "                    freqs[name][i] += 1\n",
    "    \n",
    "    for name in names:\n",
    "        for i in range(len(freqs[name])):\n",
    "            print(name, splitarr[i], freqs[name][i]/sum(freqs[name]), freqs[name][i])\n",
    "        \n",
    "        # print total number of images\n",
    "        print(f\"total number of {name}: \", sum(freqs[name]))\n",
    "\n",
    "    print(\"background frequencies\")\n",
    "    # check background frequencies\n",
    "    for i in range(len(splits)):\n",
    "        for file in splits[i]:\n",
    "            if \"background\" in file:\n",
    "                freqs[\"background\"][i] += 1\n",
    "\n",
    "    for i in range(len(freqs[\"background\"])):\n",
    "        print(\"background\", splitarr[i], freqs[\"background\"][i]/sum(freqs[\"background\"]), freqs[\"background\"][i])\n",
    "\n",
    "    print(\"total background images\", sum(freqs[\"background\"]))\n",
    "    # print proportion of background images\n",
    "    print(\"proportion of background images: \", sum(freqs[\"background\"])/(len(ftrain)+len(fval)+len(ftest)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "printing frequency information\n",
      "1420 178 182\n",
      "total dataset size:  1780\n",
      "train 1420 valid 178 test 182\n",
      "background frequencies\n",
      "{'aphanizomenon': [164, 21, 21], 'detritus': [29, 4, 4], 'dolichospermum': [303, 38, 38], 'microcystis': [418, 52, 53], 'oscillatoria': [73, 9, 10], 'water bubble': [78, 10, 10], 'woronichinia': [233, 29, 30], 'background': [122, 15, 16]}\n",
      "aphanizomenon train 0.7961165048543689 164\n",
      "aphanizomenon valid 0.10194174757281553 21\n",
      "aphanizomenon test 0.10194174757281553 21\n",
      "total number of aphanizomenon:  206\n",
      "detritus train 0.7837837837837838 29\n",
      "detritus valid 0.10810810810810811 4\n",
      "detritus test 0.10810810810810811 4\n",
      "total number of detritus:  37\n",
      "dolichospermum train 0.7994722955145118 303\n",
      "dolichospermum valid 0.10026385224274406 38\n",
      "dolichospermum test 0.10026385224274406 38\n",
      "total number of dolichospermum:  379\n",
      "microcystis train 0.7992351816443595 418\n",
      "microcystis valid 0.0994263862332696 52\n",
      "microcystis test 0.10133843212237094 53\n",
      "total number of microcystis:  523\n",
      "oscillatoria train 0.7934782608695652 73\n",
      "oscillatoria valid 0.09782608695652174 9\n",
      "oscillatoria test 0.10869565217391304 10\n",
      "total number of oscillatoria:  92\n",
      "water bubble train 0.7959183673469388 78\n",
      "water bubble valid 0.10204081632653061 10\n",
      "water bubble test 0.10204081632653061 10\n",
      "total number of water bubble:  98\n",
      "woronichinia train 0.797945205479452 233\n",
      "woronichinia valid 0.09931506849315068 29\n",
      "woronichinia test 0.10273972602739725 30\n",
      "total number of woronichinia:  292\n",
      "background train 0.7973856209150327 122\n",
      "background valid 0.09803921568627451 15\n",
      "background test 0.10457516339869281 16\n",
      "total background images 153\n",
      "proportion of background images:  0.08595505617977528\n"
     ]
    }
   ],
   "source": [
    "check_freqs_dir('color_ds_test')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "printing frequency information\n",
      "1420 178 182\n",
      "total dataset size:  1780\n",
      "train 1420 valid 178 test 182\n",
      "background frequencies\n",
      "{'aphanizomenon': [164, 21, 21], 'detritus': [29, 4, 4], 'dolichospermum': [303, 38, 38], 'microcystis': [418, 52, 53], 'oscillatoria': [73, 9, 10], 'water bubble': [78, 10, 10], 'woronichinia': [233, 29, 30], 'background': [122, 15, 16]}\n",
      "aphanizomenon train 0.7961165048543689 164\n",
      "aphanizomenon valid 0.10194174757281553 21\n",
      "aphanizomenon test 0.10194174757281553 21\n",
      "total number of aphanizomenon:  206\n",
      "detritus train 0.7837837837837838 29\n",
      "detritus valid 0.10810810810810811 4\n",
      "detritus test 0.10810810810810811 4\n",
      "total number of detritus:  37\n",
      "dolichospermum train 0.7994722955145118 303\n",
      "dolichospermum valid 0.10026385224274406 38\n",
      "dolichospermum test 0.10026385224274406 38\n",
      "total number of dolichospermum:  379\n",
      "microcystis train 0.7992351816443595 418\n",
      "microcystis valid 0.0994263862332696 52\n",
      "microcystis test 0.10133843212237094 53\n",
      "total number of microcystis:  523\n",
      "oscillatoria train 0.7934782608695652 73\n",
      "oscillatoria valid 0.09782608695652174 9\n",
      "oscillatoria test 0.10869565217391304 10\n",
      "total number of oscillatoria:  92\n",
      "water bubble train 0.7959183673469388 78\n",
      "water bubble valid 0.10204081632653061 10\n",
      "water bubble test 0.10204081632653061 10\n",
      "total number of water bubble:  98\n",
      "woronichinia train 0.797945205479452 233\n",
      "woronichinia valid 0.09931506849315068 29\n",
      "woronichinia test 0.10273972602739725 30\n",
      "total number of woronichinia:  292\n",
      "background train 0.7973856209150327 122\n",
      "background valid 0.09803921568627451 15\n",
      "background test 0.10457516339869281 16\n",
      "total background images 153\n",
      "proportion of background images:  0.08595505617977528\n"
     ]
    }
   ],
   "source": [
    "check_freqs_dir('color_ds')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# iterate through grayscale_ds and remove images that have \"background\" in them\n",
    "resized = 0\n",
    "for split in ['train', 'valid', 'test']:\n",
    "    for file in os.listdir(f'bacteriacoco/{split}'):\n",
    "        # if it is an image\n",
    "        if file[-4:] == \".jpg\":\n",
    "            # resize image to 416x416\n",
    "            img = cv2.imread(f'bacteriacoco/{split}/{file}')\n",
    "            img = cv2.resize(img, (416, 416))\n",
    "            cv2.imwrite(f'bacteriacoco/{split}/{file}', img)\n",
    "            resized+=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1780\n"
     ]
    }
   ],
   "source": [
    "print(resized)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "153\n"
     ]
    }
   ],
   "source": [
    "print(removed)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## MAIN BODY"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "dimensions = {}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "def clean_roboflow_dataset():\n",
    "    # get index of \"_jpg\" \n",
    "    names = ['aphanizomenon', 'detritus', 'dolichospermum', 'microcystis', 'oscillatoria', 'water bubble', 'woronichinia']\n",
    "    for split in os.listdir('b_ds'):\n",
    "        if split == 'test' or split == 'train' or split == 'valid':\n",
    "            print(split)\n",
    "            for image in os.listdir(f'b_ds/{split}/images'):\n",
    "                # rename image at this path to remove \"_jpg\"\n",
    "                # get index of \"_jpg\"\n",
    "                name, ext = os.path.splitext(image)\n",
    "                # b_ds/test/images/woronichinia-259918842-original_jpg.rf.6aa07c318a25214c7d100b271443c1d6.jpg\n",
    "                new_image = image[:image.rfind('_')] + ext\n",
    "                # replace current image with new image\n",
    "                # get image path\n",
    "\n",
    "                label = image[:-4] + '.txt'\n",
    "                os.rename(f'b_ds/{split}/images/{image}', f'b_ds/{split}/images/{new_image}')\n",
    "                os.rename(f'b_ds/{split}/labels/{label}', f'b_ds/{split}/labels/{new_image[:-4]}.txt')\n",
    "\n",
    "                found = False\n",
    "                for comp_name in names:\n",
    "                    if comp_name.lower() in new_image.lower():\n",
    "                        found = True\n",
    "                        break\n",
    "                \n",
    "                if not found:\n",
    "                    # this is for lab images that do not have the name associated to it\n",
    "                    \n",
    "                    # retrieve label from corresponding txt file\n",
    "                    if os.path.exists(f'b_ds/{split}/labels/{new_image[:-4]}.txt'):   \n",
    "                        with open(f'b_ds/{split}/labels/{new_image[:-4]}.txt', 'r') as f:\n",
    "                            label = f.read()\n",
    "                            if len(label) > 0:\n",
    "                                label = int(label.split(' ')[0])\n",
    "                                # copy image to corresponding folder\n",
    "                                os.rename(f'b_ds/{split}/images/{new_image}', f'b_ds/{split}/images/{names[label]}-{new_image}')\n",
    "                                # copy label to corresponding folder\n",
    "                                os.rename(f'b_ds/{split}/labels/{new_image[:-4]}.txt', f'b_ds/{split}/labels/{names[label]}-{new_image[:-4]}.txt')\n",
    "\n",
    "\n",
    "def check_for_incorrect_labels():\n",
    "    for split in os.listdir('b_ds'):\n",
    "        if split == 'train' or split == 'valid' or split == 'test':\n",
    "            for image in os.listdir(f'b_ds/{split}/images'):\n",
    "                matches = False\n",
    "                for name in names:\n",
    "                    if name.lower() in image.lower():\n",
    "                        if not os.path.exists(f'b_ds/{split}/labels/{image[:-4]}.txt'):\n",
    "                            continue\n",
    "                        with open(f'b_ds/{split}/labels/{image[:-4]}.txt', 'r') as f:\n",
    "                            data = f.read()\n",
    "                            if len(data) == 0:\n",
    "                                continue\n",
    "                            data = int(data.split(' ')[0])\n",
    "\n",
    "                            if names[data] == name:\n",
    "                                matches = True\n",
    "                                break\n",
    "                \n",
    "                if not matches:\n",
    "                    print(split, image)\n",
    "\n",
    "def move_to_combined(exclude_classes = ['anabaena']):\n",
    "    splits = ['test', 'train', 'valid']\n",
    "\n",
    "    if os.path.exists(path + f\"/combined_ds\"):\n",
    "        shutil.rmtree(path + f\"/combined_ds\")\n",
    "    os.mkdir(path + f\"/combined_ds\")\n",
    "    os.mkdir(path + f\"/combined_ds/images\")\n",
    "    os.mkdir(path + f\"/combined_ds/labels\")\n",
    "\n",
    "    # \n",
    "    seen = []\n",
    "    for split in splits:\n",
    "        for img in os.listdir(f'{path}/b_ds/{split}/images'):\n",
    "            if len(exclude_classes) > 0:\n",
    "                for exclude_class in exclude_classes:\n",
    "                    if not exclude_class in img:\n",
    "                        shutil.copy(f'{path}/b_ds/{split}/images/{img}', f'{path}/combined_ds/images/{img}')\n",
    "            else:\n",
    "                shutil.copy(f'{path}/b_ds/{split}/images/{img}', f'{path}/combined_ds/images/{img}')\n",
    "        for label in os.listdir(f'{path}/b_ds/{split}/labels'):\n",
    "            if len(exclude_classes) > 0:\n",
    "                for exclude_class in exclude_classes:            \n",
    "                    if not exclude_class in label:\n",
    "                        shutil.copy(f'{path}/b_ds/{split}/labels/{label}', f'{path}/combined_ds/labels/{label}')\n",
    "            else:\n",
    "                shutil.copy(f'{path}/b_ds/{split}/labels/{label}', f'{path}/combined_ds/labels/{label}')\n",
    "\n",
    "def generate_CLAHE(image_path, output_path, grayscale = False):\n",
    "    if not grayscale:\n",
    "        image = cv2.imread(image_path)\n",
    "        image = cv2.resize(image, (512, 512))\n",
    "        lab = cv2.cvtColor(cv2.cvtColor(image, cv2.COLOR_RGB2BGR), cv2.COLOR_BGR2LAB)\n",
    "        lab_planes = list(cv2.split(lab))\n",
    "        \n",
    "        clahe = cv2.createCLAHE(clipLimit=4, tileGridSize=(32,32))\n",
    "        lab_planes[0] = clahe.apply(lab_planes[0])\n",
    "        lab = cv2.merge(tuple(lab_planes))\n",
    "        bgr = cv2.cvtColor(lab, cv2.COLOR_LAB2BGR)\n",
    "        image = cv2.cvtColor(bgr, cv2.COLOR_BGR2RGB)\n",
    "    else:\n",
    "        image = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)    \n",
    "        clahe = cv2.createCLAHE(clipLimit=4, tileGridSize=(32,32))\n",
    "        image = clahe.apply(image)\n",
    "    \n",
    "    # get dimensions of image\n",
    "    \n",
    "    cv2.imwrite(output_path, image)\n",
    "    \n",
    "def preprocess(useCLAHE = False, grayscale = False, base = 'final_ds'):\n",
    "    # images are already resized to 512x512\n",
    "    # apply CLAHE to images\n",
    "    for split in os.listdir(base):\n",
    "        if split == 'train' or split == 'test' or split == 'valid':\n",
    "            for img_path in os.listdir(f'{base}/{split}/images'):\n",
    "                \n",
    "                image = cv2.imread(f'{base}/{split}/images/{img_path}')\n",
    "                height, width, channels = image.shape\n",
    "                dimensions[f'{height}x{width}'] = dimensions.get(f'{height}x{width}', 0) + 1\n",
    "                \n",
    "                image = cv2.resize(image, (512, 512))\n",
    "\n",
    "                cv2.imwrite(f'{base}/{split}/images/{img_path}', image)\n",
    "                \n",
    "                if useCLAHE:\n",
    "                    generate_CLAHE(f'{base}/{split}/images/{img_path}', f'{base}/{split}/images/{img_path}', grayscale)\n",
    "\n",
    "                else:\n",
    "                    cv2.imwrite(f'{base}/{split}/images/{img_path}', image)\n",
    "\n",
    "check_for_incorrect_labels()\n",
    "def organize_to_names(backgrounds=0.1, augment=0):\n",
    "    with open('licenses.json') as f:\n",
    "        licenses = json.load(f)\n",
    "        cannot_use = set([])\n",
    "        for l, vals in licenses.items():\n",
    "            if l == 'null':\n",
    "                for name, imgs in licenses[l].items():\n",
    "                    for img_name, url in imgs.items():\n",
    "                        cannot_use.add(img_name)\n",
    "\n",
    "    names_with_freqs = [0 for i in range(len(names))]\n",
    "    x=0\n",
    "    if os.path.exists(path + f\"/org_ds\"):\n",
    "        shutil.rmtree(path + f\"/org_ds\")\n",
    "    os.mkdir(path + f\"/org_ds\")\n",
    "    for name in names:\n",
    "        if os.path.exists(path + f\"/org_ds/{name}\"):\n",
    "            shutil.rmtree(path + f\"/org_ds/{name}\")\n",
    "        os.makedirs(path + f\"/org_ds/{name}\")\n",
    "    \n",
    "    if os.path.exists(path + f\"/org_ds/labels\"):\n",
    "            shutil.rmtree(path + f\"/org_ds/labels\")\n",
    "    os.makedirs(path + f\"/org_ds/labels\")\n",
    "\n",
    "    if backgrounds > 0:\n",
    "        if os.path.exists(path + f\"/org_ds/backgrounds\"):\n",
    "            shutil.rmtree(path + f\"/org_ds/backgrounds\")\n",
    "        os.makedirs(path + f\"/org_ds/backgrounds\")\n",
    "    \n",
    "    for label in os.listdir(path + \"/combined_ds/labels\"):\n",
    "        # organize everything into folders based on\n",
    "        if not os.path.exists(path + f\"/combined_ds/labels/{label}\"):\n",
    "            print(label, \"does not exist\")\n",
    "            continue\n",
    "        with open(path + f\"/combined_ds/labels/{label}\") as file:\n",
    "            # read first line\n",
    "            asdf = file.readline()\n",
    "            if len(asdf) == 0:\n",
    "                print(label, \"is empty\")\n",
    "                continue\n",
    "            \n",
    "            asdf = asdf.split(\" \")[0]\n",
    "            # print(asdf)\n",
    "            numval = int(asdf)\n",
    "            real_name = names[numval]\n",
    "            \n",
    "            # move image and label to folder\n",
    "            names_with_freqs[numval] += 1\n",
    "            \n",
    "            name, extension = os.path.splitext(label)\n",
    "            # assume that the file is already in jpg form\n",
    "            if not name in cannot_use:\n",
    "                shutil.copy(path + f\"/combined_ds/images/{label[:-4]}.jpg\", path + f\"/org_ds/{real_name}/{name}.jpg\")\n",
    "                shutil.copy(path + f\"/combined_ds/labels/{label}\", path + f\"/org_ds/labels/{name}.txt\")\n",
    "\n",
    "                # if augment > 0:\n",
    "                #     augment_image(curr_name)\n",
    "                    \n",
    "                x+=1\n",
    "            else:\n",
    "                print(f\"{name} is copyrighted, cannot be used\")\n",
    "    \n",
    "    if backgrounds > 0:\n",
    "        wanted_backgrounds = int(backgrounds * x)/(1-backgrounds)\n",
    "        print(f\"Total number of images: {x}\")\n",
    "        print(f\"Total number of backgrounds: {wanted_backgrounds}\")\n",
    "        \n",
    "        # get names of all files in Bacteria Dataset\n",
    "        \n",
    "        lab_images = []\n",
    "        for folder in os.listdir(path + \"/Bacteria Dataset/Dataset-1\"):\n",
    "            if os.path.isfile(folder) or (folder in names) or folder == \"FlowCam Library 2021\" or folder == \"FlowCam Library Instructions.docx\":\n",
    "                continue\n",
    "            for file in os.listdir(path + \"/Bacteria Dataset/Dataset-1/\" + folder):\n",
    "                if file == \".DS_Store\":\n",
    "                    continue\n",
    "                \n",
    "                lab_images.append(file)\n",
    "                name, extension = os.path.splitext(file)\n",
    "                # assume that the file is already in jpg form\n",
    "                image = cv2.imread(path + \"/Bacteria Dataset/Dataset-1/\" + folder + \"/\" + file)\n",
    "                # image = cv2.resize(image, (512, 512))\n",
    "                # lab = cv2.cvtColor(cv2.cvtColor(image, cv2.COLOR_RGB2BGR), cv2.COLOR_BGR2LAB)\n",
    "                # lab_planes = list(cv2.split(lab))\n",
    "                \n",
    "                # clahe = cv2.createCLAHE(clipLimit=4, tileGridSize=(32,32))\n",
    "                # lab_planes[0] = clahe.apply(lab_planes[0])\n",
    "                # lab = cv2.merge(tuple(lab_planes))\n",
    "                # bgr = cv2.cvtColor(lab, cv2.COLOR_LAB2BGR)\n",
    "                # image = cv2.cvtColor(bgr, cv2.COLOR_BGR2RGB)\n",
    "\n",
    "                cv2.imwrite(f'{path}/org_ds/backgrounds/{name}_background.jpg', image)\n",
    "\n",
    "\n",
    "        for folder in os.listdir(path + \"/Bacteria Dataset/Dataset-2\"):\n",
    "            if os.path.isfile(folder) or (folder in names) or folder == \"FlowCam Library 2021\" or folder == \"FlowCam Library Instructions.docx\":\n",
    "                continue\n",
    "                \n",
    "            for file in os.listdir(path + \"/Bacteria Dataset/Dataset-2/\" + folder):\n",
    "                if file == \".DS_Store\":\n",
    "                    continue\n",
    "\n",
    "                lab_images.append(file)\n",
    "                name, extension = os.path.splitext(file)\n",
    "\n",
    "                image = cv2.imread(path + \"/Bacteria Dataset/Dataset-2/\" + folder + \"/\" + file)\n",
    "                \n",
    "                # image = cv2.resize(image, (512, 512))\n",
    "                # lab = cv2.cvtColor(cv2.cvtColor(image, cv2.COLOR_RGB2BGR), cv2.COLOR_BGR2LAB)\n",
    "                # lab_planes = list(cv2.split(lab))\n",
    "                \n",
    "                # clahe = cv2.createCLAHE(clipLimit=4, tileGridSize=(32,32))\n",
    "                # lab_planes[0] = clahe.apply(lab_planes[0])\n",
    "                # lab = cv2.merge(tuple(lab_planes))\n",
    "                # bgr = cv2.cvtColor(lab, cv2.COLOR_LAB2BGR)\n",
    "                # image = cv2.cvtColor(bgr, cv2.COLOR_BGR2RGB)\n",
    "\n",
    "                cv2.imwrite(f'{path}/org_ds/backgrounds/{name}_background.jpg', image)\n",
    "\n",
    "        np.random.seed(0)\n",
    "        np.random.shuffle(lab_images)\n",
    "\n",
    "        lab_images = lab_images[:int(wanted_backgrounds)]\n",
    "        print(len(lab_images))\n",
    "\n",
    "def reorganize_to_final(ftrain, fval, ftest, base, data):\n",
    "    splits = ['train', 'valid', 'test']\n",
    "    \n",
    "    # clear existing final ds\n",
    "    if os.path.exists(path + f\"/{base}\"):\n",
    "        shutil.rmtree(path + f\"/{base}\")\n",
    "    os.mkdir(path + f\"/{base}\")\n",
    "    \n",
    "    for split in splits:\n",
    "        os.mkdir(path + f\"/{base}/{split}\")\n",
    "        os.mkdir(path + f\"/{base}/{split}/images\")\n",
    "        os.mkdir(path + f\"/{base}/{split}/labels\")\n",
    "        \n",
    "        if split == 'train':\n",
    "            thing = ftrain\n",
    "        elif split == 'valid':\n",
    "            thing = fval\n",
    "        elif split == 'test':\n",
    "            thing = ftest\n",
    "        \n",
    "        for file in thing:\n",
    "            classname = None\n",
    "            for name in names:\n",
    "                if name.lower() in file.lower():\n",
    "                    classname = name\n",
    "                    print(classname)\n",
    "                    break\n",
    "            \n",
    "            if os.path.exists(path + f\"/org_ds/labels/{file[:-4]}.txt\"):\n",
    "                shutil.copy(path + f\"/org_ds/labels/{file[:-4]}.txt\", path + f\"/{base}/{split}/labels/{file[:-4]}.txt\")\n",
    "                shutil.copy(path + f\"/org_ds/{classname}/{file}\", path + f\"/{base}/{split}/images/{file}\")\n",
    "            elif os.path.exists(path + f\"/org_ds/backgrounds/{file}\"):\n",
    "                shutil.copy(path + f\"/org_ds/backgrounds/{file}\", path + f\"/{base}/{split}/images/{file}\")\n",
    "            \n",
    "\n",
    "\n",
    "    # add data.yaml file\n",
    "    data = data.replace('final_ds', base)\n",
    "    with open(path + f\"/{base}/data.yaml\", \"w\") as file:\n",
    "        file.write(data)\n",
    "\n",
    "def get_train_val_test_splits(include_backgrounds=False):\n",
    "    path = os.getcwd()\n",
    "\n",
    "    ftrain, fval, ftest = np.array([]), np.array([]), np.array([])\n",
    "    # stratify splitting of data\n",
    "    print(\"getting splits\")\n",
    "    for name in names:\n",
    "        allFileNames = os.listdir(path + f\"/org_ds/{name}\")\n",
    "        np.random.seed(0)\n",
    "        np.random.shuffle(allFileNames)\n",
    "\n",
    "        train, val, test = np.split(np.array(allFileNames),[int(len(allFileNames)*0.8), int(len(allFileNames)*0.9)])\n",
    "\n",
    "        ftrain = np.concatenate((ftrain, train))\n",
    "        fval = np.concatenate((fval, val))\n",
    "        ftest = np.concatenate((ftest, test))\n",
    "\n",
    "        print(name, len(train), len(val), len(test))\n",
    "    \n",
    "    \n",
    "\n",
    "    if include_backgrounds:\n",
    "        allFileNames = os.listdir(path + f\"/org_ds/backgrounds\")\n",
    "        np.random.seed(0)\n",
    "        np.random.shuffle(allFileNames)\n",
    "\n",
    "        train, val, test = np.split(np.array(allFileNames),[int(len(allFileNames)*0.8), int(len(allFileNames)*0.9)])\n",
    "\n",
    "        ftrain = np.concatenate((ftrain, train))\n",
    "        fval = np.concatenate((fval, val))\n",
    "        ftest = np.concatenate((ftest, test))\n",
    "\n",
    "    print(\"final lengths after stratified split: \", len(ftrain), len(fval), len(ftest))\n",
    "    \n",
    "    global globftrain\n",
    "    global globfval\n",
    "    global globftest\n",
    "    globftrain = ftrain\n",
    "    globfval = fval\n",
    "    globftest = ftest\n",
    "    \n",
    "    return ftrain, fval, ftest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['aphanizomenon', 'detritus', 'dolichospermum', 'microcystis', 'oscillatoria', 'water bubble', 'woronichinia']\n",
      "data:  train: color_ds/train/images\n",
      "val: color_ds/valid/images\n",
      "test: color_ds/test/images\n",
      "\n",
      "nc: 7\n",
      "names: ['aphanizomenon', 'detritus', 'dolichospermum', 'microcystis', 'oscillatoria', 'water bubble', 'woronichinia']\n",
      "\n",
      "\n",
      "1627\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "\"train: color_ds/train/images\\nval: color_ds/valid/images\\ntest: color_ds/test/images\\n\\nnc: 7\\nnames: ['aphanizomenon', 'detritus', 'dolichospermum', 'microcystis', 'oscillatoria', 'water bubble', 'woronichinia']\\n\\n\""
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def reset_all(new_base='final_ds'):\n",
    "    # doing stuff\n",
    "    shutil.rmtree('b_ds')\n",
    "    shutil.copytree('b_ds_copy', 'b_ds')\n",
    "\n",
    "    # read data.yaml from b_ds\n",
    "    with open('b_ds/data.yaml', 'r') as f:\n",
    "        data = f.read()\n",
    "\n",
    "    # remove everything after \"roboflow\"\n",
    "    data = data.split('roboflow')[0] # this will be the same...\n",
    "\n",
    "    # get all names from data.yaml\n",
    "    names = data.split('names: ')[1]\n",
    "\n",
    "    # convert string names to list\n",
    "    names = eval(names)\n",
    "    print(names)\n",
    "\n",
    "    # rewrite train, val, test to go to final_ds/{split}/images instead of ../{split}/images\n",
    "    data = data.replace('../train/images', f'{new_base}/train/images')\n",
    "    data = data.replace('../valid/images', f'{new_base}/valid/images')\n",
    "    data = data.replace('../test/images', f'{new_base}/test/images')\n",
    "\n",
    "    print('data: ', data)\n",
    "\n",
    "    # remove all background images from b_ds\n",
    "    for split in os.listdir('b_ds'):\n",
    "        if split == 'train' or split == 'valid' or split == 'test':\n",
    "            for filename in os.listdir(f'b_ds/{split}/images'):\n",
    "                name, ext = os.path.splitext(filename)\n",
    "                if 'background' in filename:\n",
    "                    os.remove(f'b_ds/{split}/images/{filename}')\n",
    "                    os.remove(f'b_ds/{split}/labels/{filename[:-4]}.txt')\n",
    "\n",
    "    print(len(os.listdir('b_ds/train/images')) + len(os.listdir('b_ds/valid/images')) + len(os.listdir('b_ds/test/images')))\n",
    "\n",
    "    return data\n",
    "\n",
    "reset_all('color_ds')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def rebalance_dataset(**kwargs):\n",
    "    print(\"deleting folders\")\n",
    "    send_to = kwargs.get('send_to', \"final_ds\")\n",
    "    useCLAHE = kwargs.get('useCLAHE', False)\n",
    "    augmentImages = kwargs.get('augment', 0)\n",
    "    backgrounds = kwargs.get('backgrounds', 0.1)\n",
    "    grayscale = kwargs.get('grayscale', False)\n",
    "    data = kwargs.get('data', None)\n",
    "\n",
    "\n",
    "\n",
    "    def delete_all_folders():\n",
    "        shutil.rmtree(path + \"/combined_ds\")\n",
    "        shutil.rmtree(path + \"/org_ds\")\n",
    "        shutil.rmtree(path + f\"/{send_to}\")\n",
    "    try:\n",
    "        delete_all_folders()\n",
    "    except:\n",
    "        pass\n",
    "\n",
    "    os.mkdir(path + f\"/{send_to}\")\n",
    "\n",
    "    print(\"moving everything to combined\")\n",
    "    move_to_combined()\n",
    "    \n",
    "    print(\"organizing to names\")\n",
    "\n",
    "    organize_to_names(backgrounds, augment=augmentImages)\n",
    "    \n",
    "    ftrain, fval, ftest = get_train_val_test_splits(include_backgrounds = (backgrounds > 0))\n",
    "    # check_freqs(ftrain, fval, ftest)\n",
    "    print(fval)\n",
    "    print(ftest)\n",
    "    \n",
    "    reorganize_to_final(ftrain, fval, ftest, base = send_to, data=data)\n",
    "\n",
    "    print(\"preprocessing\")\n",
    "    preprocess(useCLAHE = useCLAHE, grayscale = grayscale, base = send_to)\n",
    "\n",
    "    # send to zip\n",
    "    shutil.make_archive(path + f\"/{send_to}\", 'zip', path + f\"/{send_to}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# shutil.rmtree('b_ds')\n",
    "# shutil.copytree('b_ds_copy', 'b_ds')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## RUN THIS BLOCK TO GENERATE DATASET"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'check_freqs_dir' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[6], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m check_freqs_dir(\u001b[39m'\u001b[39m\u001b[39mcolor_ds\u001b[39m\u001b[39m'\u001b[39m)\n",
      "\u001b[0;31mNameError\u001b[0m: name 'check_freqs_dir' is not defined"
     ]
    }
   ],
   "source": [
    "check_freqs_dir('color_ds')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['aphanizomenon', 'detritus', 'dolichospermum', 'microcystis', 'oscillatoria', 'water bubble', 'woronichinia']\n",
      "data:  train: final_ds/train/images\n",
      "val: final_ds/valid/images\n",
      "test: final_ds/test/images\n",
      "\n",
      "nc: 7\n",
      "names: ['aphanizomenon', 'detritus', 'dolichospermum', 'microcystis', 'oscillatoria', 'water bubble', 'woronichinia']\n",
      "\n",
      "\n",
      "1627\n",
      "valid\n",
      "test\n",
      "train\n",
      "data train: final_ds/train/images\n",
      "val: final_ds/valid/images\n",
      "test: final_ds/test/images\n",
      "\n",
      "nc: 7\n",
      "names: ['aphanizomenon', 'detritus', 'dolichospermum', 'microcystis', 'oscillatoria', 'water bubble', 'woronichinia']\n",
      "\n",
      "\n",
      "deleting folders\n",
      "moving everything to combined\n",
      "organizing to names\n",
      "Total number of images: 1627\n",
      "Total number of backgrounds: 180.0\n",
      "153\n",
      "getting splits\n",
      "aphanizomenon 164 21 21\n",
      "detritus 29 4 4\n",
      "dolichospermum 303 38 38\n",
      "microcystis 418 52 53\n",
      "oscillatoria 73 9 10\n",
      "water bubble 78 10 10\n",
      "woronichinia 233 29 30\n",
      "final lengths after stratified split:  1420 178 182\n",
      "['aphanizomenon-66834733-original.jpg'\n",
      " 'aphanizomenon-136568723-original.jpg'\n",
      " 'SRO122220-aphanizomenon-3_lab.jpg' 'aphanizomenon-81611281-original.jpg'\n",
      " 'aphanizomenon-17802035-original.jpg'\n",
      " 'aphanizomenon-87312695-original.jpg'\n",
      " 'aphanizomenon-219457940-original.jpg'\n",
      " 'aphanizomenon-94514154-original.jpg'\n",
      " 'aphanizomenon-4318856-original.jpg'\n",
      " 'aphanizomenon-157561419-original.jpg'\n",
      " 'aphanizomenon-87321974-original.jpg'\n",
      " 'aphanizomenon-98957364-original.jpg'\n",
      " 'aphanizomenon-102060934-original.jpg'\n",
      " 'aphanizomenon-228485878-original.jpg'\n",
      " 'aphanizomenon-136553528-original.jpg'\n",
      " 'aphanizomenon-94470006-original.jpg'\n",
      " 'aphanizomenon-87312700-original.jpg'\n",
      " 'aphanizomenon-94499818-original.jpg'\n",
      " 'aphanizomenon-42520543-original.jpg'\n",
      " 'aphanizomenon-42523368-original.jpg'\n",
      " 'aphanizomenon-88539385-original.jpg' 'NP_Detritus_012.jpg'\n",
      " 'NP_Detritus_030.jpg' 'NP_Detritus_031.jpg' 'NP_Detritus_018.jpg'\n",
      " 'dolichospermum-94468611-original.jpg'\n",
      " 'dolichospermum-223034670-original.jpg'\n",
      " 'dolichospermum-94392952-original.jpg'\n",
      " 'dolichospermum-21746007-original.jpg'\n",
      " 'dolichospermum-102057295-original.jpg'\n",
      " 'dolichospermum-233755754-original.jpg'\n",
      " 'dolichospermum-245971882-original.jpg'\n",
      " 'MRB62321-62421-dolichospermum-3_lab.jpg'\n",
      " 'dolichospermum-118759425-original.jpg'\n",
      " 'dolichospermum-235400867-original.jpg'\n",
      " 'dolichospermum-5593137-original.jpg'\n",
      " 'MRB62321-62421-dolichospermum-5_lab.jpg'\n",
      " 'dolichospermum-228494030-original.jpg'\n",
      " 'dolichospermum-102058756-original.jpg'\n",
      " 'dolichospermum-102056391-original.jpg'\n",
      " 'dolichospermum-118602790-original.jpg'\n",
      " 'dolichospermum-228494017-original.jpg'\n",
      " 'dolichospermum-4300389-original.jpg'\n",
      " 'dolichospermum-101064319-original.jpg'\n",
      " 'dolichospermum-94473913-original.jpg'\n",
      " 'dolichospermum-24359186-original.jpg'\n",
      " 'dolichospermum-4294812-original.jpg'\n",
      " 'dolichospermum-99366702-original.jpg' 'dolichospermum-EFOD_lab.jpg'\n",
      " 'dolichospermum-87311368-original.jpg'\n",
      " 'dolichospermum-102053224-original.jpg'\n",
      " 'dolichospermum-102060589-original.jpg'\n",
      " 'dolichospermum-77975470-original.jpg'\n",
      " 'dolichospermum-89657198-original.jpg'\n",
      " 'dolichospermum-219456038-original.jpg'\n",
      " 'dolichospermum-136554091-original.jpg'\n",
      " 'dolichospermum-102053470-original.jpg'\n",
      " 'dolichospermum-19548033-original.jpg'\n",
      " 'dolichospermum-240847841-original.jpg'\n",
      " 'dolichospermum-11100548-original.jpg'\n",
      " 'dolichospermum-136562748-original.jpg'\n",
      " 'dolichospermum-20688970-original.jpg'\n",
      " 'dolichospermum-94498587-original.jpg'\n",
      " 'microcystis-191281097-original.jpg' 'microcystis-21905464-original.jpg'\n",
      " 'microcystis-84915567-original.jpg' 'microcystis-98432706-original.jpg'\n",
      " 'microcystis-24619280-original.jpg' 'microcystis-5636963-original.jpg'\n",
      " 'microcystis-102058332-original.jpg' 'microcystis-228672606-original.jpg'\n",
      " 'microcystis-23488154-original.jpg' 'microcystis-151234114-original.jpg'\n",
      " 'microcystis-237004409-original.jpg' 'microcystis-227197041-original.jpg'\n",
      " 'microcystis-67890916-original.jpg' 'microcystis-22460780-original.jpg'\n",
      " 'microcystis-4585456-original.jpg' 'microcystis-102060916-original.jpg'\n",
      " 'microcystis-99367875-original.jpg' 'microcystis-27913078-original.jpg'\n",
      " 'microcystis-150496022-original.jpg' 'microcystis-102060642-original.jpg'\n",
      " 'microcystis-26693618-original.jpg' 'microcystis-81025464-original.jpg'\n",
      " 'microcystis-240664620-original.jpg' 'microcystis-236841425-original.jpg'\n",
      " 'microcystis-4810590-original.jpg' 'microcystis-154916700-original.jpg'\n",
      " 'microcystis-220942617-original.jpg' 'microcystis-153170659-original.jpg'\n",
      " 'microcystis-160447738-original.jpg' 'microcystis-186744533-original.jpg'\n",
      " 'microcystis-81612959-original.jpg' 'microcystis-156329476-original.jpg'\n",
      " '18-08-20-AGL-DEP-SRCP-microcystis-4_lab.jpg'\n",
      " 'microcystis-222470866-original.jpg' 'microcystis-25898948-original.jpg'\n",
      " 'microcystis-95530567-original.jpg' 'microcystis-204148884-original.jpg'\n",
      " 'microcystis-94501984-original.jpg' 'microcystis-25295406-original.jpg'\n",
      " 'microcystis-94393826-original.jpg' 'microcystis-100291050-original.jpg'\n",
      " 'microcystis-20419609-original.jpg' 'microcystis-155864841-original.jpg'\n",
      " 'microcystis-5637217-original.jpg' 'microcystis-218262143-original.jpg'\n",
      " 'microcystis-20548754-original.jpg' 'microcystis-214150783-original.jpg'\n",
      " 'microcystis-89660367-original.jpg' 'microcystis-4585775-original.jpg'\n",
      " 'microcystis-4302132-original.jpg' 'microcystis-165637402-original.jpg'\n",
      " 'microcystis-88540531-original.jpg' 'oscillatoria-113466794-original.jpg'\n",
      " 'oscillatoria-2336731-original.jpg' 'oscillatoria-51229669-original.jpg'\n",
      " 'oscillatoria-cyano-VP1-4_lab.jpg' 'oscillatoria-116532938-original.jpg'\n",
      " 'oscillatoria-82830408-original.jpg' 'oscillatoria-43211409-original.jpg'\n",
      " 'oscillatoria-165674168-original.jpg' 'oscillatoria-4294652-original.jpg'\n",
      " 'water bubble-NP_WaterBubble_078.jpg'\n",
      " 'water bubble-NP_WaterBubble_076.jpg'\n",
      " 'water bubble-NP_WaterBubble_072.jpg'\n",
      " 'water bubble-NP_WaterBubble_036.jpg'\n",
      " 'water bubble-NP_WaterBubble_040.jpg'\n",
      " 'water bubble-NP_WaterBubble_070.jpg'\n",
      " 'water bubble-NP_WaterBubble_084.jpg'\n",
      " 'water bubble-NP_WaterBubble_095.jpg'\n",
      " 'water bubble-NP_WaterBubble_011.jpg'\n",
      " 'water bubble-NP_WaterBubble_045.jpg'\n",
      " 'woronichinia-89660387-original.jpg'\n",
      " 'woronichinia-140269335-original.jpg'\n",
      " 'woronichinia-101640912-original.jpg'\n",
      " 'woronichinia-10201082-original.jpg' 'woronichinia-4728964-original.jpg'\n",
      " 'woronichinia-89662185-original.jpg' 'woronichinia-17802753-original.jpg'\n",
      " 'woronichinia-200285186-original.jpg'\n",
      " 'woronichinia-245974818-original.jpg'\n",
      " 'woronichinia-102059270-original.jpg'\n",
      " 'woronichinia-LHO-unconfirmed-cyano-2_lab.jpg'\n",
      " 'woronichinia-LHO-unconfirmed-cyano-1_lab.jpg'\n",
      " 'woronichinia-220324743-original.jpg' 'woronichinia-4831269-original.jpg'\n",
      " 'woronichinia-9316719-original.jpg' 'woronichinia-27912691-original.jpg'\n",
      " 'MRTTOP-08052020-woronichinia-3-copy_lab.jpg'\n",
      " 'woronichinia-163940092-original.jpg'\n",
      " 'woronichinia-102059285-original.jpg'\n",
      " 'woronichinia-157607644-original.jpg'\n",
      " 'NJWSA-8132020-woronichinia-1-copy-1-_lab.jpg'\n",
      " 'woronichinia-81614270-original.jpg' 'woronichinia-19657699-original.jpg'\n",
      " 'woronichinia-27721155-original.jpg'\n",
      " 'woronichinia-232216095-original.jpg'\n",
      " 'woronichinia-26359387-original.jpg' 'woronichinia-26359409-original.jpg'\n",
      " 'woronichinia-21905501-original.jpg' 'woronichinia-10256015-original.jpg'\n",
      " 'chroococcus  julycreeksample 92820 1_background.jpg'\n",
      " 'saffinspond51520 5_background.jpg'\n",
      " 'lakeceva91019 51121 2_background.jpg' '0828191224 (1)_background.jpg'\n",
      " 'weldonnatsample wide sheath 10720 3_background.jpg'\n",
      " 'chroococcus julycreeksample 92820 6_background.jpg'\n",
      " 'limnoraphis 4120 2_background.jpg'\n",
      " '030322Planktothrix_GHT3_031122 40X (2)_background.jpg'\n",
      " 'akinetes from creek sample in bg11 92320 3_background.jpg'\n",
      " 'safpond natural sample 7720 1_background.jpg'\n",
      " 'limnoraphis SWLBB 060619_background.jpg'\n",
      " 'BUL8321 81221 4_background.jpg' 'merismopedia 8172020 2_background.jpg'\n",
      " 'saffinspond51520 EFOD 100x TM 2_background.jpg'\n",
      " 'saffinspond51520 EFOD 400X TM 2_background.jpg']\n",
      "['aphanizomenon-136553535-original.jpg'\n",
      " 'aphanizomenon-87312698-original.jpg'\n",
      " 'aphanizomenon-217491094-original.jpg'\n",
      " 'aphanizomenon-4294250-original.jpg' 'aphanizomenon-5960254-original.jpg'\n",
      " 'aphanizomenon-136565945-original.jpg'\n",
      " 'aphanizomenon-136568715-original.jpg'\n",
      " 'aphanizomenon-83266103-original.jpg'\n",
      " 'aphanizomenon-81612466-original.jpg'\n",
      " 'aphanizomenon-130519202-original.jpg'\n",
      " 'aphanizomenon-130521501-original.jpg'\n",
      " 'aphanizomenon-229794104-original.jpg'\n",
      " 'aphanizomenon-1155842-original.jpg'\n",
      " 'aphanizomenon-57920618-original.jpg'\n",
      " 'aphanizomenon-205886983-original.jpg'\n",
      " 'aphanizomenon-42520485-original.jpg'\n",
      " 'aphanizomenon-37993335-original.jpg'\n",
      " 'aphanizomenon-92818213-original.jpg'\n",
      " 'aphanizomenon-87321969-original.jpg'\n",
      " 'aphanizomenon-136568707-original.jpg'\n",
      " 'aphanizomenon-136550962-original.jpg' 'NP_Detritus_003.jpg'\n",
      " 'NP_Detritus_020.jpg' 'NP_Detritus_004.jpg' 'NP_Detritus_005.jpg'\n",
      " 'dolichospermum-94475004-original.jpg'\n",
      " 'dolichospermum-151261949-original.jpg'\n",
      " 'dolichospermum-26469863-original.jpg' 'dolichospermum-EFoD-2_lab.jpg'\n",
      " 'dolichospermum-43322171-original.jpg'\n",
      " 'dolichospermum-87313167-original.jpg'\n",
      " 'dolichospermum-83273911-original.jpg'\n",
      " 'MRB62321-62421-dolichospermum-1_lab.jpg' 'dolichospermum-4120-7_lab.jpg'\n",
      " 'dolichospermum-67888808-original.jpg'\n",
      " 'dolichospermum-215512480-original.jpg'\n",
      " 'dolichospermum-209807742-original.jpg'\n",
      " 'dolichospermum-229797012-original.jpg'\n",
      " 'dolichospermum-159226341-original.jpg'\n",
      " 'dolichospermum-148501052-original.jpg'\n",
      " 'dolichospermum-86227507-original.jpg'\n",
      " 'dolichospermum-131839830-original.jpg'\n",
      " 'dolichospermum-4317485-original.jpg'\n",
      " 'dolichospermum-88539652-original.jpg'\n",
      " 'MRB62321-62421-dolichospermum-6_lab.jpg'\n",
      " 'dolichospermum-98428948-original.jpg'\n",
      " 'dolichospermum-4294294-original.jpg'\n",
      " 'dolichospermum-87322909-original.jpg'\n",
      " 'dolichospermum-24624009-original.jpg'\n",
      " 'dolichospermum-229793441-original.jpg'\n",
      " 'dolichospermum-26359139-original.jpg'\n",
      " 'dolichospermum-208552745-original.jpg'\n",
      " 'dolichospermum-66836198-original.jpg'\n",
      " 'dolichospermum-98427506-original.jpg'\n",
      " 'dolichospermum-2528317-original.jpg'\n",
      " 'dolichospermum-84910717-original.jpg'\n",
      " 'dolichospermum-21120377-original.jpg'\n",
      " 'dolichospermum-102053032-original.jpg'\n",
      " 'dolichospermum-86067189-original.jpg'\n",
      " 'dolichospermum-238503622-original.jpg'\n",
      " 'dolichospermum-26395990-original.jpg'\n",
      " 'dolichospermum-204147765-original.jpg'\n",
      " 'dolichospermum-94511156-original.jpg'\n",
      " 'microcystis-98432699-original.jpg' 'microcystis-98434237-original.jpg'\n",
      " 'microcystis-190802agldeplameci-coccoid-cyano_lab.jpg'\n",
      " 'microcystis-215513708-original.jpg' 'microcystis-225289241-original.jpg'\n",
      " 'microcystis-174177164-original.jpg' 'microcystis-4585777-original.jpg'\n",
      " 'microcystis-20419617-original.jpg' 'microcystis-220203127-original.jpg'\n",
      " 'microcystis-4585662-original.jpg' 'microcystis-22527898-original.jpg'\n",
      " 'microcystis-78948701-original.jpg' 'microcystis-40977135-original.jpg'\n",
      " 'microcystis-204148298-original.jpg' 'microcystis-102282672-original.jpg'\n",
      " 'microcystis-22215237-original.jpg' 'microcystis-164758233-original.jpg'\n",
      " 'microcystis-232650091-original.jpg' 'microcystis-95564923-original.jpg'\n",
      " 'microcystis-227411637-original.jpg' 'microcystis-160133181-original.jpg'\n",
      " 'microcystis-148799960-original.jpg' 'microcystis-98431811-original.jpg'\n",
      " 'microcystis-94472954-original.jpg' 'microcystis-5477095-original.jpg'\n",
      " '18-08-20-AGL-DEP-SRCP-microcystis-3_lab.jpg'\n",
      " 'microcystis-21120337-original.jpg' 'microcystis-4585434-original.jpg'\n",
      " 'microcystis-94498637-original.jpg' 'microcystis-4318121-original.jpg'\n",
      " 'microcystis-44438708-original.jpg' 'microcystis-102057212-original.jpg'\n",
      " 'microcystis-236840188-original.jpg'\n",
      " '18-08-20-AGL-DEP-SRCP-microcystis_lab.jpg'\n",
      " 'microcystis-5637198-original.jpg' 'microcystis-84918158-original.jpg'\n",
      " 'microcystis-219773620-original.jpg'\n",
      " 'microcystis-SRO72021-72121-14_lab.jpg'\n",
      " 'microcystis-164758040-original.jpg' 'microcystis-94472946-original.jpg'\n",
      " 'microcystis-150496016-original.jpg' 'microcystis-25898939-original.jpg'\n",
      " 'microcystis-98954903-original.jpg' 'microcystis-96808265-original.jpg'\n",
      " 'microcystis-165670533-original.jpg' 'microcystis-88539516-original.jpg'\n",
      " 'microcystis-211112848-original.jpg' 'microcystis-44455997-original.jpg'\n",
      " 'microcystis-72640737-original.jpg' 'microcystis-77976173-original.jpg'\n",
      " 'microcystis-5637176-original.jpg' 'microcystis-66837212-original.jpg'\n",
      " 'microcystis-5637168-original.jpg' 'oscillatoria-116532983-original.jpg'\n",
      " 'oscillatoria-49227788-original.jpg' 'oscillatoria-13523654-original.jpg'\n",
      " 'oscillatoria-106663869-original.jpg'\n",
      " 'oscillatoria-43211423-original.jpg' 'oscillatoria-4116938-original.jpg'\n",
      " 'oscillatoria-62317891-original.jpg' 'oscillatoria-35081729-original.jpg'\n",
      " 'oscillatoria-55374145-original.jpg'\n",
      " 'oscillatoria-165674205-original.jpg'\n",
      " 'water bubble-NP_WaterBubble_021.jpg'\n",
      " 'water bubble-NP_WaterBubble_099.jpg'\n",
      " 'water bubble-NP_WaterBubble_101.jpg'\n",
      " 'water bubble-NP_WaterBubble_034.jpg'\n",
      " 'water bubble-NP_WaterBubble_038.jpg'\n",
      " 'water bubble-NP_WaterBubble_032.jpg'\n",
      " 'water bubble-NP_WaterBubble_047.jpg'\n",
      " 'water bubble-NP_WaterBubble_090.jpg'\n",
      " 'water bubble-NP_WaterBubble_097.jpg'\n",
      " 'water bubble-NP_WaterBubble_059.jpg'\n",
      " 'woronichinia-101640915-original.jpg'\n",
      " 'woronichinia-86823200-original.jpg'\n",
      " 'woronichinia-259918791-original.jpg'\n",
      " 'woronichinia-224664661-original.jpg' 'woronichinia-4774178-original.jpg'\n",
      " 'woronichinia-2497434-original.jpg' 'woronichinia-4773597-original.jpg'\n",
      " 'woronichinia-164758502-original.jpg'\n",
      " 'woronichinia-148803542-original.jpg'\n",
      " 'woronichinia-155323365-original.jpg'\n",
      " 'woronichinia-255445606-original.jpg'\n",
      " 'woronichinia-24621512-original.jpg' 'woronichinia-83268793-original.jpg'\n",
      " 'woronichinia-158214219-original.jpg' 'lake-ceva-woronichinia-6_lab.jpg'\n",
      " 'woronichinia-220324751-original.jpg'\n",
      " 'woronichinia-241396340-original.jpg'\n",
      " 'woronichinia-164759287-original.jpg'\n",
      " 'woronichinia-23886416-original.jpg' 'woronichinia-2181262-original.jpg'\n",
      " 'woronichinia-27721877-original.jpg' 'woronichinia-25901143-original.jpg'\n",
      " 'woronichinia-160782673-original.jpg'\n",
      " 'MRTTOP-08052020-woronichinia-2-copy_lab.jpg'\n",
      " 'woronichinia-81614263-original.jpg'\n",
      " 'woronichinia-114001313-original.jpg' 'woronichinia-2497433-original.jpg'\n",
      " 'woronichinia-23885515-original.jpg' 'woronichinia-98428330-original.jpg'\n",
      " 'lake-ceva-woronichinia-4_lab.jpg'\n",
      " 'creek72920sample 91420 chroococcus 2_background.jpg'\n",
      " 'greenhouse1_51821 52521 merismopedia 2_background.jpg'\n",
      " 'SYEL30B 11420 1_background.jpg'\n",
      " 'creek72920sample 91420 chroococcus 3_background.jpg'\n",
      " 'Creek3_72920 121520 chroococcus 2_background.jpg'\n",
      " 'planktolyngbya 1_background.jpg'\n",
      " 'safpond culture 61920 2_background.jpg'\n",
      " 'planktothrix MRTTOP8_5_20 11420 2_background.jpg'\n",
      " 'SYEL30B 11420 4_background.jpg'\n",
      " 'weldon natural sample tolypothrix 4_background.jpg'\n",
      " 'safpond natural sample 7720 5_background.jpg'\n",
      " 'lakeceva91019 51121 200X 2_background.jpg' '0828191220a_background.jpg'\n",
      " 'chroococcus julycreeksample 92820 5_background.jpg'\n",
      " '030322Planktothrix_GHT3_031122 40X (3)_background.jpg'\n",
      " 'greenhouse2_24_21 cyano 2_background.jpg']\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
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      "aphanizomenon\n",
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      "aphanizomenon\n",
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      "aphanizomenon\n",
      "aphanizomenon\n",
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      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "detritus\n",
      "detritus\n",
      "detritus\n",
      "detritus\n",
      "detritus\n",
      "detritus\n",
      "detritus\n",
      "detritus\n",
      "detritus\n",
      "detritus\n",
      "detritus\n",
      "detritus\n",
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      "detritus\n",
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      "detritus\n",
      "detritus\n",
      "detritus\n",
      "detritus\n",
      "detritus\n",
      "detritus\n",
      "detritus\n",
      "detritus\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
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      "dolichospermum\n",
      "dolichospermum\n",
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      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
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      "microcystis\n",
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      "microcystis\n",
      "microcystis\n",
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      "oscillatoria\n",
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      "oscillatoria\n",
      "oscillatoria\n",
      "water bubble\n",
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      "water bubble\n",
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      "water bubble\n",
      "water bubble\n",
      "woronichinia\n",
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      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
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      "aphanizomenon\n",
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      "aphanizomenon\n",
      "aphanizomenon\n",
      "detritus\n",
      "detritus\n",
      "detritus\n",
      "detritus\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
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      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "oscillatoria\n",
      "oscillatoria\n",
      "oscillatoria\n",
      "oscillatoria\n",
      "oscillatoria\n",
      "oscillatoria\n",
      "oscillatoria\n",
      "oscillatoria\n",
      "oscillatoria\n",
      "water bubble\n",
      "water bubble\n",
      "water bubble\n",
      "water bubble\n",
      "water bubble\n",
      "water bubble\n",
      "water bubble\n",
      "water bubble\n",
      "water bubble\n",
      "water bubble\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
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      "woronichinia\n",
      "woronichinia\n",
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      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
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      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "aphanizomenon\n",
      "detritus\n",
      "detritus\n",
      "detritus\n",
      "detritus\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "dolichospermum\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "microcystis\n",
      "oscillatoria\n",
      "oscillatoria\n",
      "oscillatoria\n",
      "oscillatoria\n",
      "oscillatoria\n",
      "oscillatoria\n",
      "oscillatoria\n",
      "oscillatoria\n",
      "oscillatoria\n",
      "oscillatoria\n",
      "water bubble\n",
      "water bubble\n",
      "water bubble\n",
      "water bubble\n",
      "water bubble\n",
      "water bubble\n",
      "water bubble\n",
      "water bubble\n",
      "water bubble\n",
      "water bubble\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "woronichinia\n",
      "preprocessing\n"
     ]
    }
   ],
   "source": [
    "# clean up roboflow imported dataset\n",
    "\n",
    "data = reset_all()\n",
    "clean_roboflow_dataset()\n",
    "check_for_incorrect_labels()\n",
    "\n",
    "print(\"data\", data)\n",
    "\n",
    "# rebalance dataset\n",
    "rebalance_dataset(send_to = \"color_ds\", useCLAHE = True, backgrounds = 0.1, grayscale = False, data = data)\n",
    "# rebalance_dataset(send_to = \"grayscale_ds\", useCLAHE = True, backgrounds = 0.1, grayscale = True, data = data)\n",
    "# rebalance_dataset(send_to = \"no_bgs\", useCLAHE = True, backgrounds = 0, grayscale = False, data = data)\n",
    "# rebalance_dataset(send_to = \"no_CLAHE\", useCLAHE = False, backgrounds = 0.1, grayscale = False, data = data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'512x512': 1627, '4160x2336': 6, '1856x1704': 1, '922x1228': 4, '3684x4912': 104, '2192x2032': 1, '1842x2456': 3, '2352x2272': 1, '2048x1824': 1, '3238x4301': 1, '2176x2144': 1, '2380x2440': 1, '1419x1351': 1, '1291x1625': 1, '1960x1848': 1, '2384x2456': 1, '1760x1776': 1, '2144x1936': 1, '2416x2096': 1, '3646x4203': 1, '1640x1620': 1, '1852x2469': 1, '1265x1687': 1, '1392x1575': 1, '707x781': 1, '1815x1815': 1, '497x663': 1, '1549x1765': 1, '2144x2616': 1, '1649x2336': 1, '1205x1554': 1, '2272x2576': 1, '129x134': 1, '2760x3192': 1, '2410x3140': 1, '2110x2060': 1, '3024x3456': 1, '3296x2608': 1, '2912x2618': 1, '2400x3224': 1, '2450x3210': 1}\n"
     ]
    }
   ],
   "source": [
    "print(dimensions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# print(len(os.listdir(path + \"/final_ds/train/labels\")))\n",
    "# print(len(os.listdir(path + \"/final_ds/valid/labels\")))\n",
    "# print(len(os.listdir(path + \"/final_ds/test/labels\")))\n",
    "\n",
    "# check if all labels have corresponding images\n",
    "for label in os.listdir(path + \"/final_ds/train/labels\"):\n",
    "    with open(path + f\"/final_ds/train/labels/{label}\") as file:\n",
    "        if len(file.readlines()) == 0:\n",
    "            print(label)\n",
    "    if not os.path.exists(path + f\"/final_ds/train/images/{label[:-4]}.jpg\"):\n",
    "        print(label)\n",
    "\n",
    "for label in os.listdir(path + \"/final_ds/valid/labels\"):\n",
    "    with open(path + f\"/final_ds/valid/labels/{label}\") as file:\n",
    "        if len(file.readlines()) == 0:\n",
    "            print(label)\n",
    "    if not os.path.exists(path + f\"/final_ds/valid/images/{label[:-4]}.jpg\"):\n",
    "        print(label)\n",
    "\n",
    "for label in os.listdir(path + \"/final_ds/test/labels\"):\n",
    "    with open(path + f\"/final_ds/test/labels/{label}\") as file:\n",
    "        if len(file.readlines()) == 0:\n",
    "            print(label)\n",
    "    if not os.path.exists(path + f\"/final_ds/test/images/{label[:-4]}.jpg\"):\n",
    "        print(label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "printing frequency information\n",
      "1298 163 166\n",
      "total dataset size:  1627\n",
      "train 1298 valid 163 test 166\n",
      "background frequencies\n",
      "{'aphanizomenon': [164, 21, 21], 'detritus': [29, 4, 4], 'dolichospermum': [303, 38, 38], 'microcystis': [418, 52, 53], 'oscillatoria': [73, 9, 10], 'water bubble': [78, 10, 10], 'woronichinia': [233, 29, 30], 'background': [0, 0, 0]}\n",
      "aphanizomenon train 0.7961165048543689 164\n",
      "aphanizomenon valid 0.10194174757281553 21\n",
      "aphanizomenon test 0.10194174757281553 21\n",
      "total number of aphanizomenon:  206\n",
      "detritus train 0.7837837837837838 29\n",
      "detritus valid 0.10810810810810811 4\n",
      "detritus test 0.10810810810810811 4\n",
      "total number of detritus:  37\n",
      "dolichospermum train 0.7994722955145118 303\n",
      "dolichospermum valid 0.10026385224274406 38\n",
      "dolichospermum test 0.10026385224274406 38\n",
      "total number of dolichospermum:  379\n",
      "microcystis train 0.7992351816443595 418\n",
      "microcystis valid 0.0994263862332696 52\n",
      "microcystis test 0.10133843212237094 53\n",
      "total number of microcystis:  523\n",
      "oscillatoria train 0.7934782608695652 73\n",
      "oscillatoria valid 0.09782608695652174 9\n",
      "oscillatoria test 0.10869565217391304 10\n",
      "total number of oscillatoria:  92\n",
      "water bubble train 0.7959183673469388 78\n",
      "water bubble valid 0.10204081632653061 10\n",
      "water bubble test 0.10204081632653061 10\n",
      "total number of water bubble:  98\n",
      "woronichinia train 0.797945205479452 233\n",
      "woronichinia valid 0.09931506849315068 29\n",
      "woronichinia test 0.10273972602739725 30\n",
      "total number of woronichinia:  292\n",
      "total background images 0\n",
      "proportion of background images:  0.0\n"
     ]
    }
   ],
   "source": [
    "check_freqs_dir('no_bgs')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1805\n"
     ]
    }
   ],
   "source": [
    "print(len(os.listdir(path + \"/final_ds/train/images\")) + len(os.listdir(path + \"/final_ds/valid/images\")) + len(os.listdir(path + \"/final_ds/test/images\")))\n",
    "# print(len(os.listdir(path + \"/final_ds/valid/images\")))\n",
    "# print(len(os.listdir(path + \"/final_ds/test/images\")))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# find number of images from Bacteria Dataset folder that are in train, val, test of final_ds\n",
    "dict_trainvaltest = {\"train\": 0, \"val\": 0, \"test\": 0}\n",
    "\n",
    "for file in globftrain:\n",
    "    if \"default\" in file:\n",
    "        dict_trainvaltest[\"train\"] += 1\n",
    "\n",
    "for file in globfval:\n",
    "    if \"default\" in file:\n",
    "        dict_trainvaltest[\"val\"] += 1   \n",
    "\n",
    "for file in globftest:\n",
    "    if \"default\" in file:\n",
    "        dict_trainvaltest[\"test\"] += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'train': 0, 'val': 0, 'test': 0}\n"
     ]
    }
   ],
   "source": [
    "print(dict_trainvaltest)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# compare CLAHE vs no CLAHE\n",
    "image = cv2.imread(f'b_ds/train/images/113466794-medium_jpeg.rf.2d09325e3a8b7a92660be0f29ed856f7.jpg', cv2.IMREAD_GRAYSCALE) # need to convert to grayscale\n",
    "clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(8,8))\n",
    "clahe_image = clahe.apply(image)\n",
    "\n",
    "clahe_grid = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(16,16))\n",
    "clahe_grid_image = clahe_grid.apply(image)\n",
    "\n",
    "# display original and CLAHE-ed images\n",
    "fig, ax = plt.subplots(1, 3, figsize=(15, 5))\n",
    "ax[0].imshow(image, cmap='gray')\n",
    "ax[0].set_title('Original')\n",
    "ax[1].imshow(clahe_image, cmap='gray')\n",
    "ax[1].set_title('CLAHE')\n",
    "ax[2].imshow(clahe_grid_image, cmap='gray')\n",
    "ax[2].set_title('CLAHE Grid')\n",
    "plt.show()\n",
    "\n",
    "\n",
    "# save CLAHE-ed image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1441\n",
      "180\n",
      "184\n"
     ]
    }
   ],
   "source": [
    "print(len(os.listdir(path + \"/final_ds/train/images\")))\n",
    "print(len(os.listdir(path + \"/final_ds/valid/images\")))\n",
    "print(len(os.listdir(path + \"/final_ds/test/images\")))"
   ]
  }
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