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ariG23498/wandb-local-seg.ipynb

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wandb-local-seg
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wandb-local-seg.ipynb
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{
"cell_type": "markdown",
"metadata": {
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"source": [
"<a href=\"https://colab.research.google.com/gist/ariG23498/961f8f9aa667509e88252aac65d2605c/scratchpad.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "m5c601aomx3U",
"outputId": "14178da1-9593-4d96-f49a-bee14edb18dd"
},
"source": [
"!apt-get install p7zip-full"
],
"execution_count": 1,
"outputs": [
{
"output_type": "stream",
"text": [
"Reading package lists... Done\n",
"Building dependency tree \n",
"Reading state information... Done\n",
"p7zip-full is already the newest version (16.02+dfsg-6).\n",
"The following package was automatically installed and is no longer required:\n",
" libnvidia-common-460\n",
"Use 'apt autoremove' to remove it.\n",
"0 upgraded, 0 newly installed, 0 to remove and 34 not upgraded.\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "RdhfOKyYm9K1",
"outputId": "33ad6b46-3c8d-4f5e-fa21-c2c93342122e"
},
"source": [
"!wget https://github.com/wandb/client/files/6506552/segm-mask.zip"
],
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"text": [
"--2021-05-19 07:52:10-- https://github.com/wandb/client/files/6506552/segm-mask.zip\n",
"Resolving github.com (github.com)... 140.82.114.3\n",
"Connecting to github.com (github.com)|140.82.114.3|:443... connected.\n",
"HTTP request sent, awaiting response... 302 Found\n",
"Location: https://github-repository-files.githubusercontent.com/86031674/6506552?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20210519%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20210519T075210Z&X-Amz-Expires=300&X-Amz-Signature=9617186c69968d456a7fc43b21709969b36fc93d66857ffdcb65ae0171ee9edd&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=86031674&response-content-disposition=attachment%3Bfilename%3Dsegm-mask.zip&response-content-type=application%2Fzip [following]\n",
"--2021-05-19 07:52:10-- https://github-repository-files.githubusercontent.com/86031674/6506552?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20210519%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20210519T075210Z&X-Amz-Expires=300&X-Amz-Signature=9617186c69968d456a7fc43b21709969b36fc93d66857ffdcb65ae0171ee9edd&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=86031674&response-content-disposition=attachment%3Bfilename%3Dsegm-mask.zip&response-content-type=application%2Fzip\n",
"Resolving github-repository-files.githubusercontent.com (github-repository-files.githubusercontent.com)... 185.199.108.154, 185.199.109.154, 185.199.110.154, ...\n",
"Connecting to github-repository-files.githubusercontent.com (github-repository-files.githubusercontent.com)|185.199.108.154|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 1600763 (1.5M) [application/zip]\n",
"Saving to: ‘segm-mask.zip’\n",
"\n",
"segm-mask.zip 100%[===================>] 1.53M --.-KB/s in 0.1s \n",
"\n",
"2021-05-19 07:52:10 (11.0 MB/s) - ‘segm-mask.zip’ saved [1600763/1600763]\n",
"\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "JI0gel0Lm5eb",
"outputId": "0b081378-68a7-42cd-b902-02d242491242"
},
"source": [
"!7z x /content/segm-mask.zip"
],
"execution_count": 4,
"outputs": [
{
"output_type": "stream",
"text": [
"\n",
"7-Zip [64] 16.02 : Copyright (c) 1999-2016 Igor Pavlov : 2016-05-21\n",
"p7zip Version 16.02 (locale=en_US.UTF-8,Utf16=on,HugeFiles=on,64 bits,2 CPUs Intel(R) Xeon(R) CPU @ 2.30GHz (306F0),ASM,AES-NI)\n",
"\n",
"Scanning the drive for archives:\n",
" 0M Scan /content/\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b1 file, 1600763 bytes (1564 KiB)\n",
"\n",
"Extracting archive: /content/segm-mask.zip\n",
"--\n",
"Path = /content/segm-mask.zip\n",
"Type = zip\n",
"Physical Size = 1600763\n",
"\n",
" 0%\b\b\b\b \b\b\b\b\n",
"Enter password (will not be echoed):\n",
" 16% 1 - segm-mask/sideboard.png\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\bEverything is Ok\n",
"\n",
"Folders: 1\n",
"Files: 12\n",
"Size: 1598968\n",
"Compressed: 1600763\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "VFJleMWsnf-H"
},
"source": [
"!mv /content/segm-mask/* /content/"
],
"execution_count": 5,
"outputs": []
},
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"base_uri": "https://localhost:8080/"
},
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},
"source": [
"!pip install wandb -qqq\n",
"import wandb"
],
"execution_count": 6,
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"\u001b[K |████████████████████████████████| 102kB 8.9MB/s \n",
"\u001b[K |████████████████████████████████| 174kB 23.8MB/s \n",
"\u001b[K |████████████████████████████████| 71kB 7.8MB/s \n",
"\u001b[?25h Building wheel for pathtools (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Building wheel for subprocess32 (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
],
"name": "stdout"
}
]
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"source": [
"import numpy as np\n",
"from PIL import Image\n",
"\n",
"\n",
"# 1️⃣ Start a new run, tracking config metadata\n",
"wandb.init(entity=\"repro\", project=\"GH-2198\")\n",
"\n",
"# Images and GTs are from NYU Depth v2 https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html\n",
"rgbs = ['kitchen1.png', 'kitchen2.png', 'sideboard.png', 'windows.png']\n",
"preds = ['kitchen1_pred.mask.png', 'kitchen2_pred.mask.png', 'sideboard_pred.mask.png', 'windows_pred.mask.png']\n",
"gts = ['kitchen1.mask.png', 'kitchen2.mask.png', 'sideboard.mask.png', 'windows.mask.png']\n",
"\n",
"CLASS_NAMES = ['void',\n",
" 'wall', 'floor', 'cabinet', 'bed', 'chair', 'sofa',\n",
" 'table', 'door', 'window', 'bookshelf', 'picture',\n",
" 'counter', 'blinds', 'desk', 'shelves', 'curtain',\n",
" 'dresser', 'pillow', 'mirror', 'floor mat', 'clothes',\n",
" 'ceiling', 'books', 'refridgerator', 'television',\n",
" 'paper', 'towel', 'shower curtain', 'box', 'whiteboard',\n",
" 'person', 'night stand', 'toilet', 'sink', 'lamp',\n",
" 'bathtub', 'bag',\n",
" 'otherstructure', 'otherfurniture', 'otherprop']\n",
"\n",
"_class_label_dict_wo_void = {i: c for i, c in enumerate(CLASS_NAMES[1:])}\n",
"_class_label_dict = {i: c for i, c in enumerate(CLASS_NAMES)}\n",
"\n",
"def log_sem_seg(rgbs, preds, gts=None, title='Predictions'):\n",
" img_list = []\n",
" for rgb, pred, gt in zip(rgbs, preds, gts):\n",
" rgb = np.asarray(Image.open(rgb))\n",
" pred = np.asarray(Image.open(pred))\n",
" gt = np.asarray(Image.open(gt))\n",
" masks = {'prediction': {'mask_data': pred.astype('uint8'),\n",
" 'class_labels': _class_label_dict_wo_void}}\n",
" if gt is not None:\n",
" masks.update({'ground_truth': {'mask_data': gt.astype('uint8'),\n",
" 'class_labels': _class_label_dict}})\n",
" img_list.append(wandb.Image(rgb.astype('uint8'), masks=masks))\n",
"\n",
" wandb.log({title: img_list}, commit=False)\n",
"\n",
"log_sem_seg(rgbs, preds, gts)\n",
"\n",
"wandb.finish()"
],
"execution_count": 7,
"outputs": [
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"wandb: Paste an API key from your profile and hit enter: ··········\n"
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" Syncing run <strong style=\"color:#cdcd00\">clean-deluge-6</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n",
" Project page: <a href=\"https://wandb.ai/repro/GH-2198\" target=\"_blank\">https://wandb.ai/repro/GH-2198</a><br/>\n",
" Run page: <a href=\"https://wandb.ai/repro/GH-2198/runs/u0p89x2m\" target=\"_blank\">https://wandb.ai/repro/GH-2198/runs/u0p89x2m</a><br/>\n",
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