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Adding data-splitting-automation to Image Collection.ipynb #2

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Adding data-splitting-automation to Image Collection.ipynb #2

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101 changes: 92 additions & 9 deletions .ipynb_checkpoints/1. Image Collection-checkpoint.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,5 +1,15 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"toc": true
},
"source": [
"<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
"<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#1.-Import-Dependencies\" data-toc-modified-id=\"1.-Import-Dependencies-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>1. Import Dependencies</a></span></li><li><span><a href=\"#2.-Define-Images-to-Collect\" data-toc-modified-id=\"2.-Define-Images-to-Collect-2\"><span class=\"toc-item-num\">2&nbsp;&nbsp;</span>2. Define Images to Collect</a></span></li><li><span><a href=\"#3.-Setup-Folders\" data-toc-modified-id=\"3.-Setup-Folders-3\"><span class=\"toc-item-num\">3&nbsp;&nbsp;</span>3. Setup Folders</a></span></li><li><span><a href=\"#4.-Capture-Images\" data-toc-modified-id=\"4.-Capture-Images-4\"><span class=\"toc-item-num\">4&nbsp;&nbsp;</span>4. Capture Images</a></span></li><li><span><a href=\"#5.-Image-Labelling\" data-toc-modified-id=\"5.-Image-Labelling-5\"><span class=\"toc-item-num\">5&nbsp;&nbsp;</span>5. Image Labelling</a></span></li><li><span><a href=\"#6.-Move-them-into-a-Training-and-Testing-Partition\" data-toc-modified-id=\"6.-Move-them-into-a-Training-and-Testing-Partition-6\"><span class=\"toc-item-num\">6&nbsp;&nbsp;</span>6. Move them into a Training and Testing Partition</a></span></li><li><span><a href=\"#OPTIONAL---7.-Compress-them-for-Colab-Training\" data-toc-modified-id=\"OPTIONAL---7.-Compress-them-for-Colab-Training-7\"><span class=\"toc-item-num\">7&nbsp;&nbsp;</span>OPTIONAL - 7. Compress them for Colab Training</a></span></li></ul></div>"
]
},
{
"cell_type": "markdown",
"metadata": {},
Expand Down Expand Up @@ -53,11 +63,11 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"labels = ['thumbsup']\n",
"labels = ['thumbsup', 'thumbsdown', 'thankyou', 'livelong']\n",
"number_imgs = 5"
]
},
Expand All @@ -70,7 +80,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -79,7 +89,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -103,9 +113,22 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 18,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting images for thumbsup\n",
"Collecting image 0\n",
"Collecting image 1\n",
"Collecting image 2\n",
"Collecting image 3\n",
"Collecting image 4\n"
]
}
],
"source": [
"for label in labels:\n",
" cap = cv2.VideoCapture(0)\n",
Expand Down Expand Up @@ -200,9 +223,21 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 19,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Image:D:\\YouTube\\OD\\TFODCourse\\Tensorflow\\workspace\\images\\collectedimages\\thumbsup\\thumbsup.6a706a36-940f-11eb-b4eb-5cf3709bbcc6.jpg -> Annotation:D:/YouTube/OD/TFODCourse/Tensorflow/workspace/images/collectedimages/thumbsup/thumbsup.6a706a36-940f-11eb-b4eb-5cf3709bbcc6.xml\n",
"Image:D:\\YouTube\\OD\\TFODCourse\\Tensorflow\\workspace\\images\\collectedimages\\thumbsup\\thumbsup.6ba4d864-940f-11eb-8c74-5cf3709bbcc6.jpg -> Annotation:D:/YouTube/OD/TFODCourse/Tensorflow/workspace/images/collectedimages/thumbsup/thumbsup.6ba4d864-940f-11eb-8c74-5cf3709bbcc6.xml\n",
"Image:D:\\YouTube\\OD\\TFODCourse\\Tensorflow\\workspace\\images\\collectedimages\\thumbsup\\thumbsup.6cd9c8e2-940f-11eb-b901-5cf3709bbcc6.jpg -> Annotation:D:/YouTube/OD/TFODCourse/Tensorflow/workspace/images/collectedimages/thumbsup/thumbsup.6cd9c8e2-940f-11eb-b901-5cf3709bbcc6.xml\n",
"Image:D:\\YouTube\\OD\\TFODCourse\\Tensorflow\\workspace\\images\\collectedimages\\thumbsup\\thumbsup.6e0f5bc0-940f-11eb-8d18-5cf3709bbcc6.jpg -> Annotation:D:/YouTube/OD/TFODCourse/Tensorflow/workspace/images/collectedimages/thumbsup/thumbsup.6e0f5bc0-940f-11eb-8d18-5cf3709bbcc6.xml\n",
"Image:D:\\YouTube\\OD\\TFODCourse\\Tensorflow\\workspace\\images\\collectedimages\\thumbsup\\thumbsup.693a5158-940f-11eb-8752-5cf3709bbcc6.jpg -> Annotation:D:/YouTube/OD/TFODCourse/Tensorflow/workspace/images/collectedimages/thumbsup/thumbsup.693a5158-940f-11eb-8752-5cf3709bbcc6.xml\n"
]
}
],
"source": [
"!cd {LABELIMG_PATH} && python labelImg.py"
]
Expand All @@ -223,7 +258,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -237,6 +272,41 @@
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# automate train test splitting\n",
"from glob import glob\n",
"import shutil\n",
"import math\n",
"\n",
"TEST_SIZE = 0.2\n",
"\n",
"if not os.path.exists(TRAIN_PATH):\n",
" !mkdir {TRAIN_PATH}\n",
"if not os.path.exists(TEST_PATH):\n",
" !mkdir {TEST_PATH}\n",
" \n",
"print('using {} % of images as test data'.format(TEST_SIZE * 100))\n",
"for label in labels:\n",
" path = os.path.join(IMAGES_PATH, label)\n",
" xml_filenames = glob(path+'/*.xml')\n",
" n_files = len(xml_filenames)\n",
" n_test = math.floor(n_files * TEST_SIZE)\n",
" for i, xml in enumerate(xml_filenames):\n",
" jpg = xml.replace('.xml', '.jpg')\n",
" if i >= n_test:\n",
" dest_folder = TRAIN_PATH\n",
" else:\n",
" dest_folder = TEST_PATH\n",
" shutil.move(xml, dest_folder)\n",
" shutil.move(jpg, dest_folder)\n",
" print('{} -> annotated_images: {} train: {} test: {}'.format(label, n_files, n_files - n_test, n_test))"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"!tar -czf {ARCHIVE_PATH} {TRAIN_PATH} {TEST_PATH}"
]
Expand Down Expand Up @@ -266,6 +336,19 @@
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.3"
},
"toc": {
"base_numbering": 1,
"nav_menu": {},
"number_sections": true,
"sideBar": true,
"skip_h1_title": false,
"title_cell": "Table of Contents",
"title_sidebar": "Contents",
"toc_cell": true,
"toc_position": {},
"toc_section_display": true,
"toc_window_display": false
}
},
"nbformat": 4,
Expand Down
58 changes: 58 additions & 0 deletions 1. Image Collection.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,5 +1,15 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"toc": true
},
"source": [
"<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
"<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#1.-Import-Dependencies\" data-toc-modified-id=\"1.-Import-Dependencies-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>1. Import Dependencies</a></span></li><li><span><a href=\"#2.-Define-Images-to-Collect\" data-toc-modified-id=\"2.-Define-Images-to-Collect-2\"><span class=\"toc-item-num\">2&nbsp;&nbsp;</span>2. Define Images to Collect</a></span></li><li><span><a href=\"#3.-Setup-Folders\" data-toc-modified-id=\"3.-Setup-Folders-3\"><span class=\"toc-item-num\">3&nbsp;&nbsp;</span>3. Setup Folders</a></span></li><li><span><a href=\"#4.-Capture-Images\" data-toc-modified-id=\"4.-Capture-Images-4\"><span class=\"toc-item-num\">4&nbsp;&nbsp;</span>4. Capture Images</a></span></li><li><span><a href=\"#5.-Image-Labelling\" data-toc-modified-id=\"5.-Image-Labelling-5\"><span class=\"toc-item-num\">5&nbsp;&nbsp;</span>5. Image Labelling</a></span></li><li><span><a href=\"#6.-Move-them-into-a-Training-and-Testing-Partition\" data-toc-modified-id=\"6.-Move-them-into-a-Training-and-Testing-Partition-6\"><span class=\"toc-item-num\">6&nbsp;&nbsp;</span>6. Move them into a Training and Testing Partition</a></span></li><li><span><a href=\"#OPTIONAL---7.-Compress-them-for-Colab-Training\" data-toc-modified-id=\"OPTIONAL---7.-Compress-them-for-Colab-Training-7\"><span class=\"toc-item-num\">7&nbsp;&nbsp;</span>OPTIONAL - 7. Compress them for Colab Training</a></span></li></ul></div>"
]
},
{
"cell_type": "markdown",
"metadata": {},
Expand Down Expand Up @@ -257,6 +267,41 @@
"ARCHIVE_PATH = os.path.join('Tensorflow', 'workspace', 'images', 'archive.tar.gz')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# automate train test splitting\n",
"from glob import glob\n",
"import shutil\n",
"import math\n",
"\n",
"TEST_SIZE = 0.2\n",
"\n",
"if not os.path.exists(TRAIN_PATH):\n",
" !mkdir {TRAIN_PATH}\n",
"if not os.path.exists(TEST_PATH):\n",
" !mkdir {TEST_PATH}\n",
" \n",
"print('using {} % of images as test data'.format(TEST_SIZE * 100))\n",
"for label in labels:\n",
" path = os.path.join(IMAGES_PATH, label)\n",
" xml_filenames = glob(path+'/*.xml')\n",
" n_files = len(xml_filenames)\n",
" n_test = math.floor(n_files * TEST_SIZE)\n",
" for i, xml in enumerate(xml_filenames):\n",
" jpg = xml.replace('.xml', '.jpg')\n",
" if i >= n_test:\n",
" dest_folder = TRAIN_PATH\n",
" else:\n",
" dest_folder = TEST_PATH\n",
" shutil.move(xml, dest_folder)\n",
" shutil.move(jpg, dest_folder)\n",
" print('{} -> annotated_images: {} train: {} test: {}'.format(label, n_files, n_files - n_test, n_test))"
]
},
{
"cell_type": "code",
"execution_count": 21,
Expand Down Expand Up @@ -291,6 +336,19 @@
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.3"
},
"toc": {
"base_numbering": 1,
"nav_menu": {},
"number_sections": true,
"sideBar": true,
"skip_h1_title": false,
"title_cell": "Table of Contents",
"title_sidebar": "Contents",
"toc_cell": true,
"toc_position": {},
"toc_section_display": true,
"toc_window_display": false
}
},
"nbformat": 4,
Expand Down