Feature/mps

.gitignore

@@ -191,4 +191,14 @@ cython_debug/
 #  exclude from AI features like autocomplete and code analysis. Recommended for sensitive data
 #  refer to https://docs.cursor.com/context/ignore-files
 .cursorignore
-.cursorindexingignore
+.cursorindexingignore
+
+
+# custom ignores
+mlruns/
+.DS_store
+*.png
+*.jpeg
+*.csv
+*.xmp
+*.dng

0_align_images.ipynb

@@ -0,0 +1,133 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ac7bbf09",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from tqdm import tqdm\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "from pathlib import Path"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "da5ede59",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from src.training.align_images import AlignImages\n",
+    "\n",
+    "from src.training.load_config import load_config"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9d50e4c7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "run_config = load_config()\n",
+    "path = Path(run_config['jpeg_output_subdir'])\n",
+    "outpath = Path(run_config['base_data_dir']) / run_config['jpeg_output_subdir']\n",
+    "secondary_align_csv = outpath / run_config['secondary_align_csv']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "19e7da21",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dataset = AlignImages(outpath, run_config['align_csv'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c549b157",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "metric_list = []\n",
+    "for i in tqdm(range(len(dataset))):\n",
+    "    gt, noisy, aligned, metrics = dataset[i]\n",
+    "    metric_list.append(metrics)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5acbb11e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "df = pd.DataFrame(metric_list)\n",
+    "df.to_csv(secondary_align_csv)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6ec8ee48",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv(secondary_align_csv)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "192ded31",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "(df.PSNR_after - df.PSNR_before).hist(bins = np.linspace(-1, 4, 100))\n",
+    "plt.ylabel('Images')\n",
+    "plt.xlabel('Delta PSNR')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c04b9532",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "(df.SSIM_after - df.SSIM_before).hist(bins = np.linspace(-.01, .1, 100))\n",
+    "plt.ylabel('Images')\n",
+    "plt.xlabel('Delta SSIM')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "OnSight",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}