my v5 processing.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"my v5 processing.ipynb","provenance":[{"file_id":"1o5IEQOx622GE9zJYNr9xa2w3hormE6ZU","timestamp":1606965758927}],"collapsed_sections":[],"toc_visible":true},"kernelspec":{"name":"python3","display_name":"Python 3"}},"cells":[{"cell_type":"code","metadata":{"id":"pIdoeBJ5LPxk","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1606972240585,"user_tz":-360,"elapsed":17227,"user":{"displayName":"Abid Ahsan Samin, 170041024","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiOspfOWSWIlHQWpaOK2jZvfWaUPrV-9nVV718W=s64","userId":"12382209493924016380"}},"outputId":"9416dc81-6a0d-4eca-ecd4-c08f99354d3a"},"source":["from IPython.display import clear_output\n","import os, glob\n","\n","\n","# Downloading teh dataset /\n","#!gdown --id 1iWX_NOqu9PWldq-_4ti3iKsJugXLec0- \n","!unrar x round2data.rar; rm round2data.rar;\n","clear_output()\n","\n","!rm -r sample_data\n","\n","# Renaming raw data folder to remove space. Trust me, it makes life a lot easier :D \n","%mv 'Final Train Dataset' train_data_raw\n"],"execution_count":null,"outputs":[{"output_type":"stream","text":["rm: cannot remove 'sample_data': No such file or directory\n","mv: cannot stat 'Final Train Dataset': No such file or directory\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"oMREr76RMtLd","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1606972354438,"user_tz":-360,"elapsed":1209,"user":{"displayName":"Abid Ahsan Samin, 170041024","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiOspfOWSWIlHQWpaOK2jZvfWaUPrV-9nVV718W=s64","userId":"12382209493924016380"}},"outputId":"6379f6d3-e7c6-451c-cc0c-e968810bfa84"},"source":["corrupt_files = ['231.jpg', '231.xml', 'Pias (359).PNG','Pias (359).xml', 'Pias (360).PNG', 'Pias (360).xml']\n","\n","%cd /content/train_data_raw/\n","\n","for file in corrupt_files:\n","    file_path = os.path.join('/content/train_data_raw/', file)  \n","    if os.path.exists(file_path):\n","        os.remove(file_path)\n","        print(f'{file} is removed successfully')\n","    else:\n","        print(f'{file} is already deleted')\n","\n","%cd /content/"],"execution_count":null,"outputs":[{"output_type":"stream","text":["/content/train_data_raw\n","231.jpg is removed successfully\n","231.xml is removed successfully\n","Pias (359).PNG is removed successfully\n","Pias (359).xml is removed successfully\n","Pias (360).PNG is removed successfully\n","Pias (360).xml is removed successfully\n","/content\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"zYo_cAgPMTa2","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1606972364997,"user_tz":-360,"elapsed":1468,"user":{"displayName":"Abid Ahsan Samin, 170041024","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiOspfOWSWIlHQWpaOK2jZvfWaUPrV-9nVV718W=s64","userId":"12382209493924016380"}},"outputId":"6d554808-7622-4c59-95d7-d923f678da4c"},"source":["\"\"\"\n","Thanks to @bjornstenger for his excellent code for converting the code from XML format to .txt format\n","here is the original link of this cell of code.\n","Original Link: https://github.com/bjornstenger/xml2yolo/blob/master/convert.py \n","\"\"\"\n","\n","from xml.dom import minidom\n","\n","# Remember these number assigned. These are the label indexes which will be used in the training process.\n","# Feel free to unfold to see what's inside \n","lut={\"ambulance\": 0,\n","     \"auto rickshaw\": 1,\n","     \"bicycle\": 2,\n","     \"bus\": 3,\n","     \"car\": 4,\n","     \"garbagevan\": 5,\n","     \"human hauler\": 6,\n","     \"minibus\": 7,\n","     \"minivan\": 8,\n","     \"motorbike\": 9,\n","     \"pickup\": 10,\n","     \"army vehicle\": 11,\n","     \"policecar\": 12,\n","     \"rickshaw\": 13,\n","     \"scooter\": 14,\n","     \"suv\": 15,\n","     \"taxi\": 16,\n","     \"three wheelers (CNG)\": 17,\n","     \"truck\": 18,\n","     \"van\": 19,\n","     \"wheelbarrow\": 20\n","     }\n","\n","label_count ={}\n","\n","print(f'Object Names: {list(lut.keys())}' )\n","\n","def convert_coordinates(size, box):\n","    \"\"\"\n","    This function converts the coordinates. \n","    box: (xmin, ymin, xmax, ymax)\n","    size: (width, height)\n","\n","    returns a touple where (x, y, height, width) of the boundary box\n","    \"\"\"\n","    dw = 1.0/size[0]\n","    dh = 1.0/size[1]\n","    x = (box[0]+box[1])/2.0\n","    y = (box[2]+box[3])/2.0\n","    w = box[1]-box[0]\n","    h = box[3]-box[2]\n","    x = x*dw\n","    w = w*dw\n","    y = y*dh\n","    h = h*dh\n","    return (x,y,w,h)\n","\n","\n","def convert_xml2yolo(filelist, lut ):\n","    \"\"\"\n","    filelist: list of .xml file paths to convert to .txt file\n","    lut: a dictionary containing class_name to class_index mapping\n","    \"\"\"\n","    for fname in filelist:\n","        xmldoc = minidom.parse(fname)\n","        fname_out = (fname[:-4]+'.txt')\n","        print(fname_out)\n","\n","        with open(fname_out, \"w\") as f:\n","            # print(f'processing{fname}')\n","\n","            itemlist = xmldoc.getElementsByTagName('object')\n","            size = xmldoc.getElementsByTagName('size')[0]\n","            width = int((size.getElementsByTagName('width')[0]).firstChild.data)\n","            height = int((size.getElementsByTagName('height')[0]).firstChild.data)\n","\n","            for item in itemlist:\n","                # get class label\n","                classid =  (item.getElementsByTagName('name')[0]).firstChild.data\n","                if classid in lut:\n","                    label_str = str(lut[classid])\n","                else:\n","                    label_str = \"-1\"\n","                    print (\"warning: label '%s' not in look-up table for file '%s'\" % classid, fname )\n","                # get bbox coordinates\n","                xmin = ((item.getElementsByTagName('bndbox')[0]).getElementsByTagName('xmin')[0]).firstChild.data\n","                ymin = ((item.getElementsByTagName('bndbox')[0]).getElementsByTagName('ymin')[0]).firstChild.data\n","                xmax = ((item.getElementsByTagName('bndbox')[0]).getElementsByTagName('xmax')[0]).firstChild.data\n","                ymax = ((item.getElementsByTagName('bndbox')[0]).getElementsByTagName('ymax')[0]).firstChild.data\n","                b = (float(xmin), float(xmax), float(ymin), float(ymax))\n","                bb = convert_coordinates((width,height), b)\n","                #print(bb)\n","\n","                label_count[classid] = label_count.get(classid, 0) + 1\n","\n","                f.write(label_str + \" \" + \" \".join([(\"%.6f\" % a) for a in bb]) + '\\n')\n","        # print (\"wrote %s\" % fname_out)\n"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Object Names: ['ambulance', 'auto rickshaw', 'bicycle', 'bus', 'car', 'garbagevan', 'human hauler', 'minibus', 'minivan', 'motorbike', 'pickup', 'army vehicle', 'policecar', 'rickshaw', 'scooter', 'suv', 'taxi', 'three wheelers (CNG)', 'truck', 'van', 'wheelbarrow']\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"lE0TCNlVPY-c"},"source":["Now Let us create the path list of the `.xml` files to convert them to `.txt` files. "]},{"cell_type":"code","metadata":{"id":"1dJTNvisMLco","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1606972370067,"user_tz":-360,"elapsed":1511,"user":{"displayName":"Abid Ahsan Samin, 170041024","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiOspfOWSWIlHQWpaOK2jZvfWaUPrV-9nVV718W=s64","userId":"12382209493924016380"}},"outputId":"f177d1a7-6aac-4b20-9835-d8e1d4505d6b"},"source":["# Reading Image file paths\n","formats = ['jpg', 'jpeg', 'JPG', 'png']\n","image_file_list = []\n","for format in formats:\n","    image_file_list.extend(glob.glob(f'/content/train_data_raw/*.{format}'))\n","\n","# Reading XML label file paths\n","label_file_list_xml = glob.glob('/content/train_data_raw/*.xml')\n","\n","print(f'Image files found: {len(image_file_list)} \\nLabel files found: { len(label_file_list_xml)}')"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Image files found: 3813 \n","Label files found: 3813\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"-dZsVaW3LWsO"},"source":["# Converting .xml file to .txt file\n","convert_xml2yolo(label_file_list_xml, lut)\n","label_file_list_txt = glob.glob('/content/train_data_raw/*.txt')\n","print(f'XML --> TXT files: {len(label_file_list_txt)}')"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"JTfW7OJ7TfRZ","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1606972425727,"user_tz":-360,"elapsed":1244,"user":{"displayName":"Abid Ahsan Samin, 170041024","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiOspfOWSWIlHQWpaOK2jZvfWaUPrV-9nVV718W=s64","userId":"12382209493924016380"}},"outputId":"832155f2-04df-42b9-8951-ad3e96240c05"},"source":["label_count"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["{'ambulance': 188,\n"," 'army vehicle': 141,\n"," 'auto rickshaw': 394,\n"," 'bicycle': 617,\n"," 'bus': 3645,\n"," 'car': 5918,\n"," 'garbagevan': 132,\n"," 'human hauler': 285,\n"," 'minibus': 142,\n"," 'minivan': 958,\n"," 'motorbike': 2443,\n"," 'pickup': 1389,\n"," 'policecar': 206,\n"," 'rickshaw': 3930,\n"," 'scooter': 157,\n"," 'suv': 1053,\n"," 'taxi': 426,\n"," 'three wheelers (CNG)': 3088,\n"," 'truck': 1635,\n"," 'van': 801,\n"," 'wheelbarrow': 280}"]},"metadata":{"tags":[]},"execution_count":8}]},{"cell_type":"markdown","metadata":{"id":"Ud8eLlhcu6-Q"},"source":["## Data Visualization: \n","Let us have a look at the existance of the labels in the dataset. "]},{"cell_type":"code","metadata":{"id":"kV-PUUqquxmh","colab":{"base_uri":"https://localhost:8080/","height":542},"executionInfo":{"status":"ok","timestamp":1606972433109,"user_tz":-360,"elapsed":3345,"user":{"displayName":"Abid Ahsan Samin, 170041024","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiOspfOWSWIlHQWpaOK2jZvfWaUPrV-9nVV718W=s64","userId":"12382209493924016380"}},"outputId":"4b672e80-0066-41ad-9308-d493490d7b8a"},"source":["import pandas as pd\n","import plotly.express as px\n","\n","# DataFrame Generation\n","df = pd.DataFrame({'labels': label_count.keys(), 'count': label_count.values()})\n","df.columns = ['labels', 'count']\n","df.sort_values(['count'], ascending = False, inplace =True)\n","df.head()\n","\n","# Plotting\n","fig = px.bar(df, x=\"labels\", y='count',  color=\"count\",\n","    orientation='v', \n","    title='Frequency of the Labels in Dhaka.ai-2020 Challenge', \n","    color_continuous_scale=px.colors.sequential.Viridis_r\n",")\n","fig.update_layout(title_x=0.5, xaxis_title = 'Labels', yaxis_title = 'Label Count')\n","fig.update_xaxes(tickangle=60)\n","fig.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/html":["<html>\n","<head><meta charset=\"utf-8\" /></head>\n","<body>\n","    <div>\n","            <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script>\n","                <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n","        <script src=\"https://cdn.plot.ly/plotly-latest.min.js\"></script>    \n","            <div id=\"00470e2d-ad90-4700-977b-c5e55e0383bf\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>\n","            <script type=\"text/javascript\">\n","                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{\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, 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\"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Frequency of the Labels in Dhaka.ai-2020 Challenge\", \"x\": 0.5}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"tickangle\": 60, \"title\": {\"text\": \"Labels\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Label Count\"}}},\n","                        {\"responsive\": true}\n","                    ).then(function(){\n","                            \n","var gd = document.getElementById('00470e2d-ad90-4700-977b-c5e55e0383bf');\n","var x = new MutationObserver(function (mutations, observer) {{\n","        var display = window.getComputedStyle(gd).display;\n","        if (!display || display === 'none') {{\n","            console.log([gd, 'removed!']);\n","            Plotly.purge(gd);\n","            observer.disconnect();\n","        }}\n","}});\n","\n","// Listen for the removal of the full notebook cells\n","var notebookContainer = gd.closest('#notebook-container');\n","if (notebookContainer) {{\n","    x.observe(notebookContainer, {childList: true});\n","}}\n","\n","// Listen for the clearing of the current output cell\n","var outputEl = gd.closest('.output');\n","if (outputEl) {{\n","    x.observe(outputEl, {childList: true});\n","}}\n","\n","                        })\n","                };\n","                \n","            </script>\n","        </div>\n","</body>\n","</html>"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"id":"KVoQKxQMzLLm","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1606972937778,"user_tz":-360,"elapsed":1519,"user":{"displayName":"Abid Ahsan Samin, 170041024","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiOspfOWSWIlHQWpaOK2jZvfWaUPrV-9nVV718W=s64","userId":"12382209493924016380"}},"outputId":"b6298d7d-c1aa-45fd-c7c3-d107a735b45f"},"source":["from PIL import Image\n","img_sizes = {}\n","\n","for fname in image_file_list:\n","    img = Image.open(fname)\n","    img_sizes[img.size] = img_sizes.get(img.size, 0) +1 \n","img_sizes"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["{(1024, 1024): 3813}"]},"metadata":{"tags":[]},"execution_count":13}]},{"cell_type":"code","metadata":{"id":"szOyEAsFZUKv"},"source":["def resize_images(file_list, width = 1024, height = 1024, overwrite = True, save_dir = ''):\n","    total_files = len(file_list)\n","    idx = 1\n","    for path in file_list:\n","        img = Image.open(path)\n","        img_resized = img.resize((width, height))\n","        if overwrite:\n","            img_resized.save(path)\n","            filename = path.split('/')[-1] \n","            print(f\"{idx}/{total_files}: {filename} {img.size}--> ({width}x{height})\")\n","        else:\n","            filename = path.split('/')[-1]\n","            img_resized.save(save_dir + filename)\n","            print(f'{filename} saved to {save_dir}')\n","        idx +=1\n","    clear_output()"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"yYVfpex0bino"},"source":["resize_images(image_file_list , overwrite= True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"zzCtluk0TxId"},"source":["!gdown --id 1nPrI9CUXar7ht-4vpPASsqAkZm3jOrDj\n","!unrar x /content/round2v5ew.rar"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"BkEv-8ARUG86"},"source":["#!mv /content/round2v5ew/* /content/\n","!mv /content/valid/* /content/train/"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"RfH9SfDVVJF9","executionInfo":{"status":"ok","timestamp":1607179721658,"user_tz":-360,"elapsed":1309,"user":{"displayName":"Abid Ahsan Samin, 170041024","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiOspfOWSWIlHQWpaOK2jZvfWaUPrV-9nVV718W=s64","userId":"12382209493924016380"}},"outputId":"7ed358b1-efd2-4ccf-9607-ccf6c6817320"},"source":["import glob\n","formats = ['jpg', 'jpeg', 'JPG', 'png']\n","image_file_list = []\n","for format in formats:\n","    image_file_list.extend(glob.glob(f'/content/train/*.{format}'))\n","\n","# Reading XML label file paths\n","label_file_list_txt = glob.glob('/content/train/*.txt')\n","\n","print(f'Image files found: {len(image_file_list)} \\nLabel files found: { len(label_file_list_xml)}')"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Image files found: 3819 \n","Label files found: 3807\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"cevnPfbzvWj_"},"source":["We don't have to resize the test images because they are already resized to our desired format. "]},{"cell_type":"code","metadata":{"id":"NqKag3boftfU","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1607179727232,"user_tz":-360,"elapsed":1245,"user":{"displayName":"Abid Ahsan Samin, 170041024","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiOspfOWSWIlHQWpaOK2jZvfWaUPrV-9nVV718W=s64","userId":"12382209493924016380"}},"outputId":"e5174fca-8685-4be2-f54c-eb0efb2f5b96"},"source":["import random\n","random.seed(999)\n","\n","#randomply selecting the index of the files\n","valid_set_index = random.sample(range(len(image_file_list)), 500)\n","len(set(image_file_list)), len(set(label_file_list_txt)), len(valid_set_index)\n","\n","image_file_list = sorted(image_file_list)\n","label_file_list_txt = sorted(label_file_list_txt)\n","\n","# sanity check of the image files and labels being in the same order\n","print('Checking files concurrency')\n","print(image_file_list[:5])\n","print(label_file_list_txt[:5])\n","\n","# code to separate train and validation set\n","valid_selected_images = []\n","valid_selected_labels = []\n","\n","for index in valid_set_index: \n","    valid_selected_images.append(image_file_list[index])\n","    valid_selected_labels.append(label_file_list_txt[index])\n","\n","\n","print('\\n\\nChecking files concurrency in validation set')\n","print(valid_selected_images[:5])\n","print(valid_selected_labels[:5])"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Checking files concurrency\n","['/content/train/01 (1).jpg', '/content/train/01 (1)_jpg.jpg', '/content/train/01 (1)_jpg233.jpg', '/content/train/01.jpg', '/content/train/02.jpg']\n","['/content/train/01 (1).txt', '/content/train/01 (1)_jpg.txt', '/content/train/01 (1)_jpg233.txt', '/content/train/01.txt', '/content/train/02.txt']\n","\n","\n","Checking files concurrency in validation set\n","['/content/train/Pias (529).jpg', '/content/train/Pias (149).jpg', '/content/train/320px-Going_local_Bangladesh_minibus_(26345425925)_jpg.jpg', '/content/train/sakfjaksjfks.jpg', '/content/train/pt (10).jpg']\n","['/content/train/Pias (529).txt', '/content/train/Pias (149).txt', '/content/train/320px-Going_local_Bangladesh_minibus_(26345425925)_jpg.txt', '/content/train/sakfjaksjfks.txt', '/content/train/pt (10).txt']\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"VreBCd8yh607","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1607179733469,"user_tz":-360,"elapsed":1336,"user":{"displayName":"Abid Ahsan Samin, 170041024","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiOspfOWSWIlHQWpaOK2jZvfWaUPrV-9nVV718W=s64","userId":"12382209493924016380"}},"outputId":"7c0ad53d-44e9-470e-f897-158f812b8945"},"source":["import shutil\n","import os\n","# Creating validation directory\n","valid_dir = '/content/valid/'\n","\n","if os.path.exists(valid_dir):\n","    print(f'Directory {valid_dir} already exists !')\n","else: \n","    os.makedirs(valid_dir)\n","    print(f\"Directory {valid_dir} is created successfully!\") \n","\n","\n","for idx in range(len(valid_selected_images)):\n","    # moving image files\n","    mypath = valid_selected_images[idx]\n","    if os.path.exists(mypath):\n","        filename = mypath.split('/')[-1]\n","        shutil.move(mypath , valid_dir + filename)\n","    else:\n","        print(f'{mypath} not found')\n","        \n","    # moving label files\n","    mypath = valid_selected_labels[idx]\n","    if os.path.exists(mypath):\n","        filename = mypath.split('/')[-1]\n","        shutil.move(mypath , valid_dir + filename)\n","    else:\n","        print(f'{mypath} not found')"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Directory /content/valid/ already exists !\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"oFO3_FJFlnWn"},"source":["Now the remaining images in the `train_data_raw` are actually the train directory. We will rename it to `train`"]},{"cell_type":"code","metadata":{"id":"q06b7JHfGDOV"},"source":["!mv train_data_raw train  "],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"JxswYWFT_3Xf"},"source":["def lookup_image_file_paths(formats, dir):\n","    \"\"\"\n","    This function takes a specified set of formats and directory address to list all the filepaths\n","    of the desired format in that directory\n","    \"\"\"\n","    filepaths = []\n","    for format in formats:\n","        filepaths.extend(glob.glob(f'{dir}*.{format}'))\n","    return filepaths\n","\n","def make_txt_file(formats, dir):\n","    \"\"\"\n","    Formats the file names to write in the desired txt file\n","    \"\"\"\n","    filepaths = lookup_image_file_paths(formats, dir)\n","    \n","    filenames = [x.split('/')[-1] for x in filepaths]\n","    txt_file_name = dir.split('/')[-2]\n","\n","    print(f'{txt_file_name} : {len(filepaths)} images')\n","    with open(f'/content/metadata/{txt_file_name}.txt', 'w') as outfile:\n","        for filename in filenames:\n","            outfile.write(f'data/{txt_file_name}/'+filename+'\\n')\n","        outfile.close()\n"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"h7wAl-0yr3kF","colab":{"base_uri":"https://localhost:8080/","height":288},"executionInfo":{"status":"error","timestamp":1607179766864,"user_tz":-360,"elapsed":1120,"user":{"displayName":"Abid Ahsan Samin, 170041024","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiOspfOWSWIlHQWpaOK2jZvfWaUPrV-9nVV718W=s64","userId":"12382209493924016380"}},"outputId":"2c28a0b0-2aee-40b4-f316-36b7dc338a70"},"source":["train_dir = '/content/train/'\n","valid_dir = '/content/valid/'\n","test_dir =  '/content/test/'\n","!mkdir metadata\n","\n","# Making the .txt file containing list of images. \n","make_txt_file(formats, dir = train_dir)\n","make_txt_file(formats, dir = test_dir)\n","make_txt_file(formats, dir = valid_dir)\n","\n","# Writing the file traffic.names\n","object_labels = list(lut.keys())\n","with open('/content/metadata/traffic.names', 'w') as outfile:\n","    for label in object_labels:\n","        outfile.write(label + '\\n')\n","    outfile.close()\n","\n","# Writing the file traffic.data\n","data_config = f'classes=21\\ntrain=train.txt\\nvalid=valid.txt\\nnames=traffic.names'\n","with open('/content/metadata/traffic.data', 'w') as outfile:\n","    outfile.write(data_config + '\\n')\n","    outfile.close()"],"execution_count":null,"outputs":[{"output_type":"stream","text":["mkdir: cannot create directory ‘metadata’: File exists\n","train : 3319 images\n","test : 450 images\n","valid : 500 images\n"],"name":"stdout"},{"output_type":"error","ename":"NameError","evalue":"ignored","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)","\u001b[0;32m<ipython-input-33-18c37a6e873d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;31m# Writing the file traffic.names\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m \u001b[0mobject_labels\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlut\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkeys\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     13\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'/content/metadata/traffic.names'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'w'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0moutfile\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mlabel\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mobject_labels\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mNameError\u001b[0m: name 'lut' is not defined"]}]},{"cell_type":"markdown","metadata":{"id":"iiFhIDozx0Pv"},"source":["<a id=\"7\"></a>\n","## 7. Saving the Processed Dataset:\n","Now our dataset is ready for using with the starter code given at the host site. But before that we need to save the processed dataset in google drive so that we can later use it in the Starter Code. \n","\n","<font color='red'> Now mount your google drive here so that you can export the processed `dhaka-traffic-yolo-v3.zip` to your drive for later use </font> Or you can just download it and again re upload it to the Starter Notebook in Google Colab. "]},{"cell_type":"code","metadata":{"id":"wxY-Cdol9Kih","colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"status":"error","timestamp":1607179826599,"user_tz":-360,"elapsed":26605,"user":{"displayName":"Abid Ahsan Samin, 170041024","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiOspfOWSWIlHQWpaOK2jZvfWaUPrV-9nVV718W=s64","userId":"12382209493924016380"}},"outputId":"b000095f-49f8-43f6-9ba0-e4c0107c7122"},"source":["!zip -r round2v5ew3.zip train test valid\n","clear_output()"],"execution_count":null,"outputs":[{"output_type":"stream","text":["\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n","  adding: train/Dipto_ 72.jpg (deflated 1%)\n","  adding: train/Dipto_531.txt (deflated 46%)\n","  adding: train/Navid_437.xml (deflated 79%)\n","  adding: train/Navid_532.xml (deflated 81%)\n","  adding: train/Navid_284.xml (deflated 68%)\n","  adding: train/163.jpg (deflated 1%)\n","  adding: train/220.xml (deflated 92%)\n","  adding: train/Dipto_ 341.xml (deflated 77%)\n","  adding: train/Dipto_581.txt (deflated 8%)\n","  adding: train/Navid_486.txt (deflated 55%)\n","  adding: train/Dipto_396.txt (deflated 39%)\n","  adding: train/Suzuki-Lets-Scooter-review-by-Mir-Rabbi.txt (deflated 8%)\n","  adding: train/Pias (443).txt (deflated 8%)\n","  adding: train/amb6.xml (deflated 62%)\n","  adding: train/Dipto_391.txt (deflated 41%)\n","  adding: train/amb6_jpg303.txt (deflated 25%)\n","  adding: train/Navid_748.xml (deflated 79%)\n","  adding: train/Navid_537.xml (deflated 80%)\n","  adding: train/Navid_388.xml (deflated 74%)\n","  adding: train/Pias (471).jpg (deflated 3%)\n","  adding: train/Pias (339).xml (deflated 81%)\n","  adding: train/Pias (42).xml (deflated 72%)\n","  adding: train/Dipto_ 266.xml (deflated 82%)\n","  adding: train/Navid_710.jpg (deflated 1%)\n","  adding: train/Dipto_616.xml (deflated 67%)\n","  adding: train/Numan_(74).jpg (deflated 1%)\n","  adding: train/Dipto_456.xml (deflated 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valid/Dipto_727.txt (deflated 59%)\n","  adding: valid/Numan_(281).jpg (deflated 1%)\n","  adding: valid/Pias (527).jpg (deflated 3%)\n","  adding: valid/Dipto_578.jpg (deflated 0%)\n","  adding: valid/Navid_52.jpg (deflated 0%)\n","  adding: valid/Reduce-Gender-Inequality-Cycling.jpg (deflated 0%)\n","  adding: valid/111.jpg (deflated 0%)\n","  adding: valid/Navid_179.txt (deflated 46%)\n","  adding: valid/Dipto_484.txt (deflated 44%)\n","  adding: valid/ghgsg.txt (deflated 51%)\n","  adding: valid/Navid_307.jpg (deflated 0%)\n","  adding: valid/Pias (368).jpg (deflated 7%)\n","  adding: valid/Numan_(281).txt (deflated 47%)\n","  adding: valid/Pias (445).txt (deflated 5%)\n","  adding: valid/2a_jpg275.txt (deflated 47%)\n","  adding: valid/Pias (412).txt (deflated 29%)\n","  adding: valid/Dipto_852.txt (deflated 50%)\n","  adding: valid/Navid_708.txt (deflated 52%)\n","  adding: valid/Dipto_678.txt (deflated 29%)\n","  adding: valid/p27.jpg (deflated 0%)\n","  adding: valid/Navid_768.jpg (deflated 1%)\n","  adding: valid/Navid_662.txt (deflated 52%)\n","  adding: valid/Dipto_474.txt (deflated 48%)\n","  adding: valid/Pias (474).txt (deflated 29%)\n","  adding: valid/sabiha(191)_jpg.jpg (deflated 2%)\n","  adding: valid/Pias (268).jpg (deflated 1%)\n","  adding: valid/Dipto_798.jpg (deflated 0%)\n","  adding: valid/Navid_455.txt (deflated 56%)\n","  adding: valid/Pias (486).jpg (deflated 3%)\n","  adding: valid/p4_jpg.txt (deflated 27%)\n","  adding: valid/Dipto_ 268.txt (deflated 47%)\n","  adding: valid/Navid_624.JPG (deflated 0%)\n","  adding: valid/Numan_(229).txt (deflated 48%)\n","  adding: valid/Navid_287.jpg (deflated 1%)\n","  adding: valid/Pias (213).jpg (deflated 0%)\n","  adding: valid/Numan_(56).jpg (deflated 1%)\n","  adding: valid/Navid_415.jpg (deflated 3%)\n","  adding: valid/Dipto_  218.jpg (deflated 0%)\n","  adding: valid/189.txt (deflated 37%)\n","  adding: valid/9c7af3179fec9b4f060f88f8d5c3375c-5b8e4b397b3ee_jpg295.jpg (deflated 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valid/Dipto_548.txt (deflated 45%)\n","  adding: valid/Navid_432.jpg (deflated 1%)\n","  adding: valid/pt (10).txt (deflated 8%)\n","  adding: valid/Navid_567.jpg (deflated 2%)\n","  adding: valid/sokdcorsla.jpg (deflated 0%)\n","  adding: valid/Scooter-for-women-in-bd-cover_jpg.jpg (deflated 0%)\n","  adding: valid/Numan_(373).jpg (deflated 0%)\n","  adding: valid/21a.txt (deflated 29%)\n","  adding: valid/Asraf_15.txt (deflated 57%)\n","  adding: valid/p8_jpg392.txt (deflated 50%)\n","  adding: valid/sabiha(184)_jpg.txt (deflated 54%)\n","  adding: valid/103.jpg (deflated 1%)\n","  adding: valid/Pias (521).jpg (deflated 4%)\n","  adding: valid/Navid_461.txt (deflated 57%)\n","  adding: valid/l_jpg.jpg (deflated 0%)\n","  adding: valid/pt (19)_jpg.jpg (deflated 0%)\n","  adding: valid/Pias (492).txt (deflated 39%)\n","  adding: valid/Reduce-Gender-Inequality-Cycling.txt (deflated 53%)\n","  adding: valid/Navid_450.jpg (deflated 3%)\n","  adding: valid/Navid_71.txt (deflated 56%)\n","  adding: valid/Dipto_36.txt (deflated 29%)\n","  adding: valid/Navid_206.jpg (deflated 1%)\n","  adding: valid/Navid_66.jpg (deflated 0%)\n","  adding: valid/Navid_13.txt (deflated 47%)\n","  adding: valid/Dipto_852.jpg (deflated 0%)\n","  adding: valid/36.jpg (deflated 2%)\n","  adding: valid/96263-7894321_jpg.txt (deflated 11%)\n","  adding: valid/sabiha(199)_jpg.jpg (deflated 2%)\n","  adding: valid/Pias (300).jpg (deflated 1%)\n","  adding: valid/Dipto_734.txt (deflated 13%)\n","  adding: valid/217.txt (deflated 71%)\n","  adding: valid/Pias (134).txt (deflated 56%)\n","  adding: valid/Dipto_757.jpg (deflated 2%)\n","  adding: valid/Pias (22).txt (deflated 54%)\n","  adding: valid/Numan_  (7).jpg (deflated 0%)\n","  adding: valid/Dipto_467.txt (deflated 29%)\n","  adding: valid/Navid_540.jpg (deflated 1%)\n","  adding: valid/Numan_(108).txt (deflated 54%)\n","  adding: valid/Navid_93.jpg (deflated 0%)\n","  adding: valid/Dipto_387.jpg (deflated 1%)\n","  adding: valid/travel-shutterstock-editorial-3560269a_jpg465.txt (deflated 13%)\n","  adding: valid/dhaka-bangladesh-3rd-dec-2013-a-mini-bus-is-set-on-fire-by-protesters-dk72tr_jpg319.jpg (deflated 0%)\n","  adding: valid/Numan_(355).jpg (deflated 3%)\n","  adding: valid/2BEYA3G_jpg276.jpg (deflated 0%)\n","  adding: valid/Navid_373.jpg (deflated 1%)\n","  adding: valid/30a.txt (deflated 54%)\n","  adding: valid/Dipto_703.txt (deflated 38%)\n","  adding: valid/Navid_09.txt (deflated 52%)\n","  adding: valid/Dipto_468.jpg (deflated 3%)\n","  adding: valid/pt (8)_jpg.txt (deflated 29%)\n","  adding: valid/Pias (153).txt (deflated 54%)\n","  adding: valid/9c7af3179fec9b4f060f88f8d5c3375c-5b8e4b397b3ee_jpg.txt (deflated 5%)\n","  adding: valid/tg (33).jpg (deflated 0%)\n","  adding: valid/Numan_(127).jpg (deflated 0%)\n","  adding: valid/Dipto_579.jpg (deflated 0%)\n","  adding: valid/19373163_401_jpg255.txt (deflated 38%)\n","  adding: valid/Numan_(355).txt (deflated 55%)\n","  adding: valid/Dipto_638.jpg (deflated 0%)\n","  adding: valid/p18.txt (deflated 39%)\n","  adding: valid/Dipto_742.txt (deflated 44%)\n","  adding: valid/Navid_508.jpg (deflated 1%)\n","  adding: valid/pt (19)_jpg.txt (deflated 5%)\n","  adding: valid/Navid_264.jpg (deflated 0%)\n","  adding: valid/amb5_jpg.txt (deflated 43%)\n","  adding: valid/p27.txt (deflated 37%)\n","  adding: valid/Pias (337).jpg (deflated 2%)\n","  adding: valid/Dipto_  204.jpg (deflated 0%)\n","  adding: valid/Pias (113).txt (deflated 49%)\n","  adding: valid/Numan_(374).txt (deflated 50%)\n","  adding: valid/Dipto_522.txt (deflated 8%)\n","  adding: valid/Navid_245.jpg (deflated 2%)\n","  adding: valid/Dipto_478.txt (deflated 39%)\n","  adding: valid/Pias (486).txt (deflated 39%)\n","  adding: valid/Dipto_785.jpg (deflated 1%)\n","  adding: valid/seldsd;kf.txt (deflated 13%)\n","  adding: valid/Navid_62.jpg (deflated 1%)\n","  adding: valid/Dipto_404.txt (deflated 11%)\n","  adding: valid/Dipto_  217.txt (deflated 55%)\n","  adding: valid/Navid_126.jpg (deflated 2%)\n","  adding: valid/Navid_735.txt (deflated 53%)\n","  adding: valid/sdlgjsdk.jpg (deflated 0%)\n","  adding: valid/Dipto_617.jpg (deflated 0%)\n","  adding: valid/Dipto_463.txt (deflated 11%)\n","  adding: valid/Numan_(81).jpg (deflated 0%)\n","  adding: valid/Numan_(377).jpg (deflated 0%)\n","  adding: valid/Dipto_  217.jpg (deflated 0%)\n","  adding: valid/tg (11)_jpg.txt (deflated 18%)\n","  adding: valid/sakfjaksjfks_jpg418.jpg (deflated 0%)\n","  adding: valid/Dipto_370.txt (deflated 58%)\n","  adding: valid/Pias (346).txt (deflated 44%)\n","  adding: valid/Dipto_ 142.jpg (deflated 2%)\n","  adding: valid/Dipto_437.txt (deflated 43%)\n","  adding: valid/Dipto_775.jpg (deflated 0%)\n","  adding: valid/sabiha(178)_jpg.jpg (deflated 2%)\n","  adding: valid/Navid_791.txt (deflated 47%)\n","  adding: valid/Navid_702.txt (deflated 28%)\n","  adding: valid/p28_jpg.jpg (deflated 0%)\n","  adding: valid/Pias (429).txt (deflated 45%)\n","  adding: valid/Pias (521).txt (deflated 8%)\n","  adding: valid/Dipto_ 115.txt (deflated 53%)\n","  adding: valid/Going-green1_jpg347.txt (deflated 46%)\n","  adding: valid/pt (7)_jpg411.txt (deflated 26%)\n","  adding: valid/Pias (9).txt (deflated 52%)\n","  adding: valid/Numan_(479).txt (deflated 44%)\n","  adding: valid/unnamed.jpg (deflated 1%)\n","  adding: valid/Navid_319.txt (deflated 48%)\n","  adding: valid/Numan_(476).txt (deflated 43%)\n","  adding: valid/Pias (368).txt (deflated 39%)\n","  adding: valid/221.jpg (deflated 0%)\n","  adding: valid/Dipto_467.jpg (deflated 2%)\n","  adding: valid/Dipto_ 142.txt (deflated 47%)\n","  adding: valid/Navid_391.jpg (deflated 2%)\n","  adding: valid/Dipto_784.txt (deflated 46%)\n","  adding: valid/Pias (513).txt (deflated 8%)\n","  adding: valid/Navid_667.jpg (deflated 0%)\n","  adding: valid/Navid_414.jpg (deflated 3%)\n","  adding: valid/Navid_371.jpg (deflated 1%)\n","  adding: valid/Navid_366.txt (deflated 57%)\n","  adding: valid/Dipto_ 144.txt (deflated 26%)\n","  adding: valid/Dipto_ 308.jpg (deflated 1%)\n","  adding: valid/22a.jpg (deflated 0%)\n","  adding: valid/Navid_450.txt (deflated 51%)\n","  adding: valid/Dipto_  227.txt (deflated 51%)\n","  adding: valid/p4_jpg.jpg (deflated 0%)\n","  adding: valid/pt (5).jpg (deflated 0%)\n","  adding: valid/Pias (66).jpg (deflated 4%)\n","  adding: valid/Dipto_394.txt (deflated 26%)\n","  adding: valid/Dipto_793.txt (deflated 38%)\n","  adding: valid/Dipto_ 339.txt (deflated 42%)\n","  adding: valid/Navid_302.txt (deflated 50%)\n","  adding: valid/Dipto_ 247.txt (deflated 8%)\n","  adding: valid/Dipto_ 277.txt (deflated 51%)\n","  adding: valid/Dipto_ 336.jpg (deflated 8%)\n","  adding: valid/sabiha(198)_jpg.txt (deflated 54%)\n","  adding: valid/Numan_(63).txt (deflated 51%)\n","  adding: valid/Dipto_400.txt (deflated 29%)\n","  adding: valid/Pias (524).jpg (deflated 3%)\n","  adding: valid/Navid_599.JPG (deflated 0%)\n","  adding: valid/tg (10).txt (deflated 15%)\n","  adding: valid/Pias (513).jpg (deflated 3%)\n","  adding: valid/tg (15)_jpg441.jpg (deflated 0%)\n","  adding: valid/Navid_71.jpg (deflated 0%)\n","  adding: valid/Dipto_365.txt (deflated 59%)\n","  adding: valid/Leguna-human-hauler.jpg (deflated 0%)\n","  adding: valid/18.jpg (deflated 1%)\n","  adding: valid/Numan_(273).jpg (deflated 1%)\n","  adding: valid/1200px-Tata_sumo_jpg239.jpg (deflated 0%)\n","  adding: valid/Navid_432.txt (deflated 52%)\n","  adding: valid/Pias (197).txt (deflated 57%)\n","  adding: valid/Dipto_482.txt (deflated 54%)\n","  adding: valid/Dipto_836.jpg (deflated 1%)\n","  adding: valid/Dipto_560.jpg (deflated 0%)\n","  adding: valid/Dipto_ 258.txt (deflated 46%)\n","  adding: valid/sdgsd.txt (deflated 26%)\n","  adding: valid/Dipto_832.txt (deflated 57%)\n","  adding: valid/Pias (8).txt (deflated 53%)\n","  adding: valid/211.txt (deflated 65%)\n","  adding: valid/Navid_803.txt (deflated 48%)\n","  adding: valid/Numan_(479).jpg (deflated 0%)\n","  adding: valid/2a_jpg275.jpg (deflated 0%)\n","  adding: valid/Dipto_672.txt (deflated 13%)\n","  adding: valid/Navid_684.txt (deflated 48%)\n","  adding: valid/Scooter-for-women-in-bd-cover_jpg.txt (deflated 5%)\n","  adding: valid/Navid_307.txt (deflated 52%)\n","  adding: valid/Pias (37).txt (deflated 55%)\n","  adding: valid/fb566d7eb49eef68a9731d417ab2ad93_jpg.jpg (deflated 0%)\n","  adding: valid/Pias (236).jpg (deflated 0%)\n","  adding: valid/Dipto_775.txt (deflated 47%)\n","  adding: valid/gay-rights-activists-murdered-dhaka-bangladesh-shutterstock-editorial-5661052b_jpg340.jpg (deflated 0%)\n","  adding: valid/pt (11).txt (deflated 27%)\n","  adding: valid/Dipto_  204.txt (deflated 54%)\n","  adding: valid/Numan_(49).txt (deflated 56%)\n","  adding: valid/1200px-Tata_sumo_jpg239.txt (deflated 45%)\n","  adding: valid/Navid_718.jpg (deflated 1%)\n","  adding: valid/Numan_(189).jpg (deflated 1%)\n","  adding: valid/Dipto_602.jpg (deflated 0%)\n","  adding: valid/Navid_196.txt (deflated 51%)\n","  adding: valid/Dipto_610.jpg (deflated 0%)\n","  adding: valid/l_jpg.txt (deflated 5%)\n","  adding: valid/Navid_52.txt (deflated 59%)\n","  adding: valid/sakfjaksjfks_jpg418.txt (deflated 5%)\n","  adding: valid/Dipto_522.jpg (deflated 3%)\n","  adding: valid/Navid_319.jpg (deflated 1%)\n","  adding: valid/Pias (478).txt (deflated 10%)\n","  adding: valid/Dipto_664.txt (deflated 52%)\n","  adding: valid/9c7af3179fec9b4f060f88f8d5c3375c-5b8e4b397b3ee_jpg.jpg (deflated 0%)\n","  adding: valid/Dipto_550.txt (deflated 39%)\n","  adding: valid/Dipto_  213.txt (deflated 55%)\n","  adding: valid/Pias (503).jpg (deflated 4%)\n","  adding: valid/Navid_13.jpg (deflated 0%)\n","  adding: valid/Shykat_5_ (21)_jpg.txt (deflated 43%)\n","  adding: valid/tg (16).txt (deflated 29%)\n","  adding: valid/Numan_(460).txt (deflated 52%)\n","  adding: valid/Asraf_10.jpg (deflated 0%)\n","  adding: valid/sgjlakj_jpg431.jpg (deflated 0%)\n","  adding: valid/Pias (391).jpg (deflated 3%)\n","  adding: valid/Pias (67).jpg (deflated 3%)\n","  adding: valid/sdkjghdj.txt (deflated 5%)\n","  adding: valid/Dipto_681.txt (deflated 38%)\n","  adding: valid/Dipto_745.txt (deflated 37%)\n","  adding: valid/Dipto_550.jpg (deflated 0%)\n","  adding: valid/GCGHFB_jpg341.txt (deflated 28%)\n","  adding: valid/69.txt (deflated 62%)\n","  adding: valid/Dipto_ 336.txt (deflated 40%)\n","  adding: valid/320px-Going_local_Bangladesh_minibus_(26345425925)_jpg.txt (deflated 27%)\n","  adding: valid/dsgsdg_png.txt (deflated 26%)\n","  adding: valid/sdlkgjs.jpg (deflated 1%)\n","  adding: valid/Numan_(353).txt (deflated 55%)\n","  adding: valid/Navid_485.txt (deflated 50%)\n","  adding: valid/2005-01-16__city06_jpg259.txt (deflated 43%)\n","  adding: valid/Numan_(385).txt (deflated 51%)\n","  adding: valid/amb4_jpg301.txt (deflated 13%)\n","  adding: valid/Numan_(349).jpg (deflated 3%)\n","  adding: valid/Dipto_  202.jpg (deflated 0%)\n","  adding: 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(deflated 13%)\n","  adding: valid/Dipto_  227.jpg (deflated 0%)\n","  adding: valid/Pias (524).txt (deflated 13%)\n","  adding: valid/Navid_517.txt (deflated 56%)\n","  adding: valid/Navid_771.jpg (deflated 0%)\n","  adding: valid/170.txt (deflated 50%)\n","  adding: valid/10.txt (deflated 60%)\n","  adding: valid/Pias (527).txt (deflated 29%)\n","  adding: valid/Dipto_638.txt (deflated 43%)\n","  adding: valid/Navid_411.txt (deflated 43%)\n","  adding: valid/170.jpg (deflated 1%)\n","  adding: valid/Dipto_ 150.jpg (deflated 2%)\n","  adding: valid/Numan_(164).jpg (deflated 0%)\n","  adding: valid/Pias (337).txt (deflated 45%)\n","  adding: valid/12a_jpg.jpg (deflated 0%)\n","  adding: valid/Numan_(360).txt (deflated 50%)\n","  adding: valid/Dipto_615.jpg (deflated 0%)\n","  adding: valid/34.jpg (deflated 2%)\n","  adding: valid/Numan_(320).txt (deflated 56%)\n"],"name":"stdout"},{"output_type":"error","ename":"NameError","evalue":"ignored","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)","\u001b[0;32m<ipython-input-35-b0d617db0092>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mget_ipython\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msystem\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'zip -r round2v5ew3.zip train test valid'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mclear_output\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m","\u001b[0;31mNameError\u001b[0m: name 'clear_output' is not defined"]}]},{"cell_type":"code","metadata":{"id":"9R4BCpEGKGhF"},"source":["!cp round2v5ew3.zip '/content/drive/MyDrive/Colab Notebooks/Dhaka ai/round2v5ew3.zip'"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"ms8UURS_eioN","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1607179559862,"user_tz":-360,"elapsed":31412,"user":{"displayName":"Abid Ahsan Samin, 170041024","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiOspfOWSWIlHQWpaOK2jZvfWaUPrV-9nVV718W=s64","userId":"12382209493924016380"}},"outputId":"6ffe96d5-0129-452b-ca77-6eb394bcc0fd"},"source":["from google.colab import drive\n","drive.mount('/content/drive')"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Mounted at /content/drive\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"E0toF9pJzTba"},"source":["Now we are done with pre-processing the data and we are ready to put the whole dataset to the training of Yolo V3 in the Starter Code given on the host website. \n","\n","Thank you and good luck!\n","\n","\n","\n","\n","\n"]}]}