add obb example

examples/det/obb.ipynb

@@ -0,0 +1,118 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2\r"
+     ]
+    }
+   ],
+   "source": [
+    "import cv2\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "\n",
+    "from boxmot import OcSort\n",
+    "\n",
+    "\n",
+    "# Initialize the tracker\n",
+    "tracker = OcSort(\n",
+    "    asso_func=\"centroid\",\n",
+    "    min_hits=10,\n",
+    "    asso_threshold=0.98,\n",
+    "    det_thresh = 0.7,\n",
+    "    max_age=20,\n",
+    "    use_byte=True,\n",
+    "    Q_xy_scaling = 0.01,\n",
+    "    Q_s_scaling = 0.0001,\n",
+    ")\n",
+    "\n",
+    "def get_parabolic_array(i):\n",
+    "    \"\"\"\n",
+    "    Generates coordinates where x increases linearly,\n",
+    "    y follows a parabolic curve (y = base + coeff * i^2),\n",
+    "    and the angle matches the tangent of the curve.\n",
+    "    \"\"\"\n",
+    "    # -- FIRST ROW --\n",
+    "    # Define x1, y1\n",
+    "    x1 = 144 + i\n",
+    "    y1 = 212 + 0.01 * (i ** 2)\n",
+    "    \n",
+    "    # Slope = 2 * coeff * i => for 0.01 * i^2, slope = 2*0.01*i = 0.02*i\n",
+    "    slope1 = 0.02 * i\n",
+    "    # Angle in radians\n",
+    "    angle1 = np.arctan(slope1)\n",
+    "    \n",
+    "    # -- SECOND ROW --\n",
+    "    # Define x2, y2 with a different coefficient\n",
+    "    x2 = 425 + i\n",
+    "    y2 = 281 + 0.02 * (i ** 2)\n",
+    "    \n",
+    "    # Slope for 0.02 * i^2 is 2*0.02*i = 0.04*i\n",
+    "    slope2 = 0.04 * i\n",
+    "    # Angle in radians\n",
+    "    angle2 = np.arctan(slope2)\n",
+    "    \n",
+    "    # Build the array\n",
+    "    det = np.array([\n",
+    "        [x1, y1, 45, 30, angle1, 0.82,  0],   # row 1\n",
+    "        [x2, y2, 45, 30, angle2, 0.72, 65]    # row 2\n",
+    "    ])\n",
+    "    \n",
+    "    return det\n",
+    "\n",
+    "\n",
+    "for i in range(0, 100):\n",
+    "\n",
+    "    #frame = cv2.imread(str(img_dir / (file.stem + '.png')))\n",
+    "    frame = np.zeros((1080,1080,3))\n",
+    "    \n",
+    "    det = get_parabolic_array(i)\n",
+    "\n",
+    "    # Update the tracker\n",
+    "    res = tracker.update(det, frame)  # --> M X (x, y, x, y, id, conf, cls, ind)\n",
+    "    \n",
+    "    # Plot tracking results on the image\n",
+    "    tracker.plot_results(frame, show_trajectories=True, fontscale=2, thickness=4)\n",
+    "\n",
+    "    # Display the frame\n",
+    "    cv2.imshow('BoXMOT', frame)\n",
+    "\n",
+    "    print(len(tracker.active_tracks),end='\\r')\n",
+    "\n",
+    "    key = cv2.waitKey(1) & 0xFF\n",
+    "    if key == ord('q') or key ==27:\n",
+    "        break\n",
+    "\n",
+    "cv2.destroyAllWindows()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "boxmot-YDNZdsaB-py3.11",
+   "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": "3.11.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}