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chore: add notebook to test
2024-11-17-rev1-000 (#19)
* chore: add notebook to test `2024-11-17-rev1-000` * clear * adjust order
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,133 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "metadata": {}, | ||
| "cell_type": "markdown", | ||
| "source": "# Testing `2024-11-17-rev1-000` Model", | ||
| "id": "f65cd8acf6ceeda7" | ||
| }, | ||
| { | ||
| "metadata": {}, | ||
| "cell_type": "code", | ||
| "source": [ | ||
| "import sys\n", | ||
| "import os\n", | ||
| "\n", | ||
| "colab = 'google.colab' in sys.modules" | ||
| ], | ||
| "id": "8bbed4542154e55a", | ||
| "outputs": [], | ||
| "execution_count": null | ||
| }, | ||
| { | ||
| "metadata": {}, | ||
| "cell_type": "code", | ||
| "source": [ | ||
| "if colab:\n", | ||
| " os.environ['PROJECT_DIR'] = project_dir = '/content/Foggy-CycleGAN'\n", | ||
| " replace = True\n", | ||
| " if os.path.isdir(project_dir):\n", | ||
| " choice = input(\"Project already exists in folder \" +\n", | ||
| " \"{}\\nDelete the files and pull again? Enter Y/(N):\\n\"\n", | ||
| " .format(project_dir))\n", | ||
| " if choice.lower() == 'y':\n", | ||
| " !rm -r $PROJECT_DIR\n", | ||
| " print(\"Deleted folder {}\".format(project_dir))\n", | ||
| " else:\n", | ||
| " replace = False\n", | ||
| " print(\"Nothing was changed.\")\n", | ||
| " if replace:\n", | ||
| " !cd /content && git clone https://github.com/ghaiszaher/Foggy-CycleGAN.git\n", | ||
| " print(\"Project cloned to \" + project_dir)\n", | ||
| " os.chdir(project_dir)\n", | ||
| " print(\"Done.\")" | ||
| ], | ||
| "id": "febf3f49d71bb78a", | ||
| "outputs": [], | ||
| "execution_count": null | ||
| }, | ||
| { | ||
| "metadata": {}, | ||
| "cell_type": "code", | ||
| "source": [ | ||
| "from lib.tools import create_dir\n", | ||
| "\n", | ||
| "output = './weights/generator_clear2fog.weights.h5'\n", | ||
| "if not os.path.exists(output):\n", | ||
| " import gdown\n", | ||
| " file_id = '10cBLNuofYGbyrC6DKRycD-fmx0Wh7BCr'\n", | ||
| " create_dir('./weights/')\n", | ||
| " print(\"Downloading weights...\")\n", | ||
| " gdown.download(f'https://drive.google.com/uc?id={file_id}', output, quiet=False)\n", | ||
| " print(\"Weights downloaded.\")\n", | ||
| "else:\n", | ||
| " print(\"Weights already downloaded.\")" | ||
| ], | ||
| "id": "40bb017068d0d5a3", | ||
| "outputs": [], | ||
| "execution_count": null | ||
| }, | ||
| { | ||
| "metadata": {}, | ||
| "cell_type": "code", | ||
| "source": [ | ||
| "from lib.models import ModelsBuilder\n", | ||
| "\n", | ||
| "models_builder = ModelsBuilder()\n", | ||
| "generator_clear2fog = models_builder.build_generator()\n", | ||
| "generator_clear2fog.load_weights('./weights/generator_clear2fog.weights.h5')" | ||
| ], | ||
| "id": "d3ffc8f1b4f3f6db", | ||
| "outputs": [], | ||
| "execution_count": null | ||
| }, | ||
| { | ||
| "metadata": {}, | ||
| "cell_type": "code", | ||
| "source": [ | ||
| "from lib.plot import plot_clear2fog_intensity\n", | ||
| "import tensorflow as tf\n", | ||
| "from lib.dataset import DatasetInitializer\n", | ||
| "\n", | ||
| "datasetInit = DatasetInitializer(256, 256)\n", | ||
| "\n", | ||
| "input_path = './custom-images/input/image.png' #@param {type:\"string\"}\n", | ||
| "fog_intensity = 0.4 #@param {type:\"slider\", min:0.05, max:1.00, step:0.05}\n", | ||
| "output_path = './custom-images/output/image.png' #@param {type:\"string\"}\n", | ||
| "\n", | ||
| "image_clear = tf.io.decode_png(tf.io.read_file(input_path), channels=3)\n", | ||
| "image_clear, _ = datasetInit.preprocess_image_test(image_clear, 0)\n", | ||
| "\n", | ||
| "fig, foggy_image = plot_clear2fog_intensity(generator_clear2fog, image_clear, fog_intensity)\n", | ||
| "foggy_image_uint8 = tf.image.convert_image_dtype(foggy_image, dtype=tf.uint8)\n", | ||
| "encoded_image = tf.io.encode_png(foggy_image_uint8)\n", | ||
| "tf.io.write_file(output_path, encoded_image)\n", | ||
| "print(f\"Saved foggy image to {output_path}\")" | ||
| ], | ||
| "id": "ed5c34bc882f2c05", | ||
| "outputs": [], | ||
| "execution_count": null | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3", | ||
| "language": "python", | ||
| "name": "python3" | ||
| }, | ||
| "language_info": { | ||
| "codemirror_mode": { | ||
| "name": "ipython", | ||
| "version": 2 | ||
| }, | ||
| "file_extension": ".py", | ||
| "mimetype": "text/x-python", | ||
| "name": "python", | ||
| "nbconvert_exporter": "python", | ||
| "pygments_lexer": "ipython2", | ||
| "version": "2.7.6" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 5 | ||
| } |
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