Adds converted `.pkl` and `.gif` files for data.

convert_mat.ipynb

@@ -0,0 +1,145 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Convert `.mat`\n",
+    "Converts Camera Signal and Radiant Temperature of `.mat` files to `.p` filetype."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import imageio\n",
+    "import numpy as np\n",
+    "import pickle\n",
+    "import scipy"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "folder = \"powder_plate_7_bare_pad_195_w_800_mm_s\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(501, 127, 360)\n",
+      "16367\n"
+     ]
+    }
+   ],
+   "source": [
+    "filename = \"camera_signal\"\n",
+    "\n",
+    "mat = scipy.io.loadmat(f\"data/{folder}/{filename}.mat\")\n",
+    "video = mat[\"CameraSignal\"]\n",
+    "\n",
+    "# Reshapes from (y, x, f) to (f, x, y)\n",
+    "video_reshaped = np.transpose(video, (2, 0, 1))\n",
+    "print(video_reshaped.shape)\n",
+    "print(np.max(video_reshaped))\n",
+    "\n",
+    "with open(f\"data/{folder}/{filename}.pkl\", \"wb\") as file:\n",
+    "    pickle.dump(video_reshaped, file)\n",
+    "\n",
+    "# Normalizes the video for visual output\n",
+    "video_normalized = np.interp(\n",
+    "    video_reshaped,\n",
+    "    (video_reshaped.min(), video_reshaped.max()),\n",
+    "    (0, 255)\n",
+    ")\n",
+    "\n",
+    "frames = []\n",
+    "for frame in video_normalized:\n",
+    "    frames.append(frame)\n",
+    "\n",
+    "imageio.mimsave(f\"data/{folder}/{filename}.gif\", frames)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(501, 127, 360)\n",
+      "1073.1382220207333\n"
+     ]
+    }
+   ],
+   "source": [
+    "filename = \"radiant_temperature\"\n",
+    "\n",
+    "mat = scipy.io.loadmat(f\"data/{folder}/{filename}.mat\")\n",
+    "video = mat[\"RadiantTemperature\"]\n",
+    "\n",
+    "# Reshapes from (x, y, f) to (f, x, y)\n",
+    "video_reshaped = np.transpose(video, (2, 0, 1))\n",
+    "print(video_reshaped.shape)\n",
+    "print(np.max(video_reshaped))\n",
+    "\n",
+    "with open(f\"data/{folder}/{filename}.pkl\", \"wb\") as file:\n",
+    "    pickle.dump(video_reshaped, file)\n",
+    "\n",
+    "# Normalizes the video for visual output\n",
+    "video_normalized = np.interp(\n",
+    "    video_reshaped,\n",
+    "    (video_reshaped.min(), video_reshaped.max()),\n",
+    "    (0, 255)\n",
+    ")\n",
+    "\n",
+    "frames = []\n",
+    "for frame in video_normalized:\n",
+    "    frames.append(frame)\n",
+    "\n",
+    "imageio.mimsave(f\"data/{folder}/{filename}.gif\", frames)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "venv",
+   "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": "3.12.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

data.ipynb

@@ -1,57 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
-    "\n",
-    "from PIL import Image"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "file = \"data/RawCameraData/20170215_PowderPlate7_Bare_Pad_195W_800mmPs_clipped.img\"\n",
-    "\n",
-    "with open(file, \"rb\") as f:\n",
-    "    img = np.fromfile(f)\n",
-    "\n"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "venv",
-   "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": "3.12.2"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}

data/powder_plate_1_single_line/camera_signal.pkl

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+size 5120804

data/powder_plate_1_single_line/radiant_temperature.pkl

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+size 20482724

data/powder_plate_2_pad/camera_signal.pkl

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+size 46908885

data/powder_plate_2_pad/radiant_temperature.pkl

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+size 187635045

data/powder_plate_6_bare_single_line_195_w_800_mm_s/camera_signal.pkl

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+size 3109124

data/powder_plate_6_bare_single_line_195_w_800_mm_s/radiant_temperature.pkl

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+size 12436004

data/powder_plate_7_bare_pad_195_w_800_mm_s/camera_signal.pkl

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+size 45811605

data/powder_plate_7_bare_pad_195_w_800_mm_s/radiant_temperature.pkl

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+version https://git-lfs.github.com/spec/v1
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+size 183245925