trap/test_training.ipynb
2025-05-19 14:11:56 +02:00

1031 lines
546 KiB
Text

{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from copy import deepcopy\n",
"from pathlib import Path\n",
"from typing import List\n",
"\n",
"import cv2\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import pandas as pd\n",
"import torch\n",
"import torch.nn as nn\n",
"import torch.nn.functional as F\n",
"from pandas import DataFrame\n",
"from torch import optim\n",
"from torch.utils.data import DataLoader, TensorDataset\n",
"from tqdm import tqdm\n",
"\n",
"from trap.frame_emitter import Camera, Track\n",
"from trap.tracker import FinalDisplacementFilter, TrackReader\n",
"from trap.utils import ImageMap\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 0. Training options"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"\n",
"# Training options\n",
"from trap.base import DistortedCamera\n",
"\n",
"\n",
"input_seq_length = 36\n",
"output_seq_length = 36\n",
"\n",
"lr = 0.00005\n",
"num_epochs = 100\n",
"batch_size = 512\n",
"hidden_size = 32\n",
"num_gru_layers = 1\n",
"grad_clip = 1.0\n",
"scheduled_sampling_decay = 10\n",
"dropout = 0.\n",
"\n",
"# As opposed to point-wise (assumes Gaussian)\n",
"# probabilistic = True\n",
"\n",
"# use_attention = True\n",
"\n",
"path = Path(\"EXPERIMENTS/raw/hof3/\")\n",
"calibration_path = Path(\"../DATASETS/hof3/calibration.json\")\n",
"homography_path = Path(\"../DATASETS/hof3/homography.json\")\n",
"device = device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
"camera = DistortedCamera.from_paths(calibration_path, homography_path, 12)\n",
"\n",
"snapshot_path = Path(\"../DATASETS/hof3/output.png\")\n",
"\n",
"\n",
"# when using a map encoder:\n",
"image_path = Path(\"../DATASETS/hof3/map-undistorted-H-2.png\")\n",
"assert image_path.exists()\n",
"\n",
"CACHE_DIR = Path(\"/tmp/cache-custom-rnn\")\n",
"cache_path = Path(CACHE_DIR)\n",
"cache_path.mkdir(parents=True, exist_ok=True)\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(1440, 2560, 3)\n",
"[[ 1.7927 12.995]\n",
" [ 17.895 14.859]]\n",
"[[ 1.7927 12.995]\n",
" [ 17.895 14.859]]\n"
]
},
{
"ename": "ValueError",
"evalue": "x and y must have same first dimension, but have shapes (2, 2) and (1, 1, 2)",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[3], line 17\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[38;5;28mprint\u001b[39m(coords[:,\u001b[38;5;241m0\u001b[39m])\n\u001b[1;32m 16\u001b[0m plt\u001b[38;5;241m.\u001b[39mimshow(dst_img, extent\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m0\u001b[39m, dst_img\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m1\u001b[39m]\u001b[38;5;241m/\u001b[39m\u001b[38;5;241m100\u001b[39m, dst_img\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m/\u001b[39m\u001b[38;5;241m100\u001b[39m,\u001b[38;5;241m0\u001b[39m)),\n\u001b[0;32m---> 17\u001b[0m \u001b[43mplt\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcoords\u001b[49m\u001b[43m[\u001b[49m\u001b[43m:\u001b[49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcoords\u001b[49m\u001b[43m[\u001b[49m\u001b[43m:\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mro\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m~/suspicion/trap/.venv/lib/python3.10/site-packages/matplotlib/pyplot.py:2767\u001b[0m, in \u001b[0;36mplot\u001b[0;34m(scalex, scaley, data, *args, **kwargs)\u001b[0m\n\u001b[1;32m 2765\u001b[0m \u001b[38;5;129m@_copy_docstring_and_deprecators\u001b[39m(Axes\u001b[38;5;241m.\u001b[39mplot)\n\u001b[1;32m 2766\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mplot\u001b[39m(\u001b[38;5;241m*\u001b[39margs, scalex\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, scaley\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, data\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m-> 2767\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mgca\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 2768\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mscalex\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mscalex\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mscaley\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mscaley\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2769\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m{\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mdata\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[43m}\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mis\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43m{\u001b[49m\u001b[43m}\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m~/suspicion/trap/.venv/lib/python3.10/site-packages/matplotlib/axes/_axes.py:1635\u001b[0m, in \u001b[0;36mAxes.plot\u001b[0;34m(self, scalex, scaley, data, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1393\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 1394\u001b[0m \u001b[38;5;124;03mPlot y versus x as lines and/or markers.\u001b[39;00m\n\u001b[1;32m 1395\u001b[0m \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1632\u001b[0m \u001b[38;5;124;03m(``'green'``) or hex strings (``'#008000'``).\u001b[39;00m\n\u001b[1;32m 1633\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 1634\u001b[0m kwargs \u001b[38;5;241m=\u001b[39m cbook\u001b[38;5;241m.\u001b[39mnormalize_kwargs(kwargs, mlines\u001b[38;5;241m.\u001b[39mLine2D)\n\u001b[0;32m-> 1635\u001b[0m lines \u001b[38;5;241m=\u001b[39m [\u001b[38;5;241m*\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_lines(\u001b[38;5;241m*\u001b[39margs, data\u001b[38;5;241m=\u001b[39mdata, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)]\n\u001b[1;32m 1636\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m line \u001b[38;5;129;01min\u001b[39;00m lines:\n\u001b[1;32m 1637\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39madd_line(line)\n",
"File \u001b[0;32m~/suspicion/trap/.venv/lib/python3.10/site-packages/matplotlib/axes/_base.py:312\u001b[0m, in \u001b[0;36m_process_plot_var_args.__call__\u001b[0;34m(self, data, *args, **kwargs)\u001b[0m\n\u001b[1;32m 310\u001b[0m this \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m args[\u001b[38;5;241m0\u001b[39m],\n\u001b[1;32m 311\u001b[0m args \u001b[38;5;241m=\u001b[39m args[\u001b[38;5;241m1\u001b[39m:]\n\u001b[0;32m--> 312\u001b[0m \u001b[38;5;28;01myield from\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_plot_args\u001b[49m\u001b[43m(\u001b[49m\u001b[43mthis\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m~/suspicion/trap/.venv/lib/python3.10/site-packages/matplotlib/axes/_base.py:498\u001b[0m, in \u001b[0;36m_process_plot_var_args._plot_args\u001b[0;34m(self, tup, kwargs, return_kwargs)\u001b[0m\n\u001b[1;32m 495\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maxes\u001b[38;5;241m.\u001b[39myaxis\u001b[38;5;241m.\u001b[39mupdate_units(y)\n\u001b[1;32m 497\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m x\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m!=\u001b[39m y\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m0\u001b[39m]:\n\u001b[0;32m--> 498\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mx and y must have same first dimension, but \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 499\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhave shapes \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mx\u001b[38;5;241m.\u001b[39mshape\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;132;01m{\u001b[39;00my\u001b[38;5;241m.\u001b[39mshape\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 500\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m x\u001b[38;5;241m.\u001b[39mndim \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m2\u001b[39m \u001b[38;5;129;01mor\u001b[39;00m y\u001b[38;5;241m.\u001b[39mndim \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m2\u001b[39m:\n\u001b[1;32m 501\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mx and y can be no greater than 2D, but have \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 502\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mshapes \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mx\u001b[38;5;241m.\u001b[39mshape\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;132;01m{\u001b[39;00my\u001b[38;5;241m.\u001b[39mshape\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n",
"\u001b[0;31mValueError\u001b[0m: x and y must have same first dimension, but have shapes (2, 2) and (1, 1, 2)"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from trap.utils import convert_world_space_to_img_space\n",
"\n",
"\n",
"frame_img = cv2.imread(snapshot_path)\n",
"print(frame_img.shape)\n",
"undistorted_img = cv2.undistort(frame_img, camera.mtx, camera.dist, None, camera.newcameramtx)\n",
"# dst_img = cv2.warpPerspective(undistorted_img,convert_world_space_to_img_space(camera.H),(camera.w,camera.h))\n",
"dst_img = cv2.warpPerspective(undistorted_img,convert_world_space_to_img_space(camera.H),(camera.w,camera.h))\n",
"\n",
"point_coordinates = [[0, 1440], [2560, 1440]]\n",
"coords = cv2.undistortPoints(np.array([point_coordinates]).astype('float32'), camera.mtx, camera.dist, None, camera.newcameramtx)\n",
"coords = cv2.perspectiveTransform(np.array(coords),camera.H)\n",
"print( coords.reshape((coords.shape[0],2)))\n",
"print(coords[:,0])\n",
"\n",
"plt.imshow(dst_img, extent=(0, dst_img.shape[1]/100, dst_img.shape[0]/100,0)),\n",
"plt.plot(coords[:,0], coords[:1], 'ro')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 1. Data loading"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"in_fields = [ 'x', 'y', 'dx', 'dy']\n",
"out_fields = ['dx', 'dy']"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"from trap.tracker import Smoother\n",
"from typing import List\n",
"\n",
"def load_tracks():\n",
" reader = TrackReader(path, camera.fps, exclude_whitelisted = False, include_blacklisted=False)\n",
"\n",
" smoother = Smoother()\n",
" # \n",
" # make sure we have all points for all tracks\n",
" tracks: List[Track] = [t.get_with_interpolated_history() for t in reader]\n",
" # t = Smoother().smooth_track(t)\n",
" track_filter = FinalDisplacementFilter(2)\n",
" tracks = track_filter.apply(tracks, camera)\n",
" tracks = [smoother.smooth_track(t) for t in tracks]\n",
"\n",
" return tracks\n",
"\n",
" print(f\"Loaded {len(tracks)}\")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"tracks = load_tracks()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(tracks)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"reader = TrackReader(path, camera.fps, exclude_whitelisted = False, include_blacklisted=False)\n"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"actual 26 projected 1\n"
]
}
],
"source": [
"\n",
"track = reader._tracks[\"48\"]\n",
"\n",
"track = track.get_with_interpolated_history()\n",
"history = track.get_projected_history(H=None, camera=camera)\n",
"print(\"actual\", len(track.history), \"projected\", len(history))"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"# split training & validation:\n",
"def split_tracks(tracks: List[Track]):\n",
" np.random.shuffle(tracks)\n",
" test_offset_idx = int(len(tracks) * .8)\n",
"\n",
" training_tracks, test_tracks = tracks[:test_offset_idx], tracks[test_offset_idx:]\n",
" return training_tracks, test_tracks\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"def create_dataset(tracks: list[Track], input_seq_length: int, output_seq_length: int, in_fields: list[str], out_fields: list[str], camera: Camera, only_last=False, device='cpu'):\n",
" encoder_X, decoder_X, decoder_y, = [], [], []\n",
" # factor = SAMPLE_STEP if SAMPLE_STEP is not None else 1\n",
" for track in tqdm(tracks):\n",
" # track = reader.get(track_id)\n",
" if len(track.history) < 2:\n",
" print(track.track_id, \"too short\")\n",
" df: DataFrame = track.to_flat_dataframe(camera)\n",
" # df = data.loc[track_id]\n",
" # print(df)\n",
" # start_frame = min(df.index.tolist())\n",
" for timestep in range(df.shape[0] - (input_seq_length + output_seq_length) + 1):\n",
"\n",
" # enc_inputs: (input seq len, num features)\n",
" # print(df[timestep:timestep+input_seq_length][['velocity_x', 'velocity_y']])\n",
" past = deepcopy(df[timestep : timestep + input_seq_length][in_fields])\n",
" future = deepcopy(df[timestep + input_seq_length : timestep + input_seq_length + output_seq_length][out_fields])\n",
" # enc_inputs_at_t = deepcopy(df[timestep : timestep + input_seq_length][in_fields])\n",
" # dec_at_t = deepcopy(df[timestep + input_seq_length - 1 : timestep + input_seq_length + output_seq_length])\n",
" # dec_targets: (output seq len, num features)\n",
" # dec_inputs_at_t = deepcopy(dec_at_t[:-1][in_fields])\n",
" # dec_targets: (output seq len, num targets)\n",
" # dec_targets_at_t = deepcopy(dec_at_t[1:][out_fields])\n",
"\n",
" if past.isna().any().any():\n",
" print(\"nan in past\", track.track_id, timestep)\n",
" elif future.isna().any().any():\n",
" print(\"nan in future\", track.track_id, timestep)\n",
" else:\n",
" encoder_X.append(past)\n",
" decoder_y.append(future)\n",
" \n",
" # # for step in range(len(df)-window-1):\n",
" # i = int(start_frame) + (step*factor)\n",
" # # print(step, int(start_frame), i)\n",
" # feature = df.loc[i:i+(window*factor)][in_fields]\n",
" # # target = df.loc[i+1:i+window+1][out_fields]\n",
" # # print(i, window*factor, factor, i+window*factor+factor, df['idx_in_track'])\n",
" # # print(i+window*factor+factor)\n",
" # if only_last:\n",
" # target = df.loc[i+window*factor+factor][out_fields]\n",
" # else:\n",
" # target = df.loc[i+factor:i+window*factor+factor][out_fields]\n",
"\n",
"\n",
" # encoder_X.append(enc_inputs_at_t.values)\n",
" # decoder_X.append(dec_inputs_at_t.values)\n",
" # decoder_y.append(dec_targets_at_t.values)\n",
" \n",
" return TensorDataset(\n",
" torch.tensor(np.array(encoder_X), device=device, dtype=torch.float), \n",
" torch.tensor(np.array(decoder_y), device=device, dtype=torch.float)\n",
" )\n",
" \n",
" # return {'enc_inputs': torch.tensor(np.array(encoder_X), device=device, dtype=torch.float), \n",
" # 'dec_inputs': torch.tensor(np.array(decoder_X), device=device, dtype=torch.float), \n",
" # 'dec_outputs': torch.tensor(np.array(decoder_y), device=device, dtype=torch.float)}\n"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"def create_datasets():\n",
" tracks = load_tracks()\n",
" training_tracks, test_tracks = split_tracks(tracks)\n",
" dataset_train = create_dataset(training_tracks, input_seq_length, output_seq_length, in_fields, out_fields, camera, False, device)\n",
" dataset_test = create_dataset(test_tracks, input_seq_length, output_seq_length, in_fields, out_fields, camera, False, device)\n",
" return dataset_train, dataset_test "
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"ename": "RuntimeError",
"evalue": "Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mRuntimeError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[8], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m dataset_cache_file \u001b[38;5;241m=\u001b[39m (CACHE_DIR \u001b[38;5;241m/\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdatasets.p\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m dataset_cache_file\u001b[38;5;241m.\u001b[39mexists():\n\u001b[0;32m----> 3\u001b[0m dataset_train, dataset_test \u001b[38;5;241m=\u001b[39m \u001b[43mtorch\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mload\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdataset_cache_file\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 4\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mloaded\u001b[39m\u001b[38;5;124m'\u001b[39m, dataset_cache_file)\n\u001b[1;32m 5\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n",
"File \u001b[0;32m~/suspicion/trap/.venv/lib/python3.10/site-packages/ultralytics/utils/patches.py:86\u001b[0m, in \u001b[0;36mtorch_load\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 83\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m TORCH_1_13 \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mweights_only\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m kwargs:\n\u001b[1;32m 84\u001b[0m kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mweights_only\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[0;32m---> 86\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_torch_load\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m~/suspicion/trap/.venv/lib/python3.10/site-packages/torch/serialization.py:712\u001b[0m, in \u001b[0;36mload\u001b[0;34m(f, map_location, pickle_module, **pickle_load_args)\u001b[0m\n\u001b[1;32m 710\u001b[0m opened_file\u001b[38;5;241m.\u001b[39mseek(orig_position)\n\u001b[1;32m 711\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m torch\u001b[38;5;241m.\u001b[39mjit\u001b[38;5;241m.\u001b[39mload(opened_file)\n\u001b[0;32m--> 712\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_load\u001b[49m\u001b[43m(\u001b[49m\u001b[43mopened_zipfile\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmap_location\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpickle_module\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mpickle_load_args\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 713\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _legacy_load(opened_file, map_location, pickle_module, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mpickle_load_args)\n",
"File \u001b[0;32m~/suspicion/trap/.venv/lib/python3.10/site-packages/torch/serialization.py:1049\u001b[0m, in \u001b[0;36m_load\u001b[0;34m(zip_file, map_location, pickle_module, pickle_file, **pickle_load_args)\u001b[0m\n\u001b[1;32m 1047\u001b[0m unpickler \u001b[38;5;241m=\u001b[39m UnpicklerWrapper(data_file, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mpickle_load_args)\n\u001b[1;32m 1048\u001b[0m unpickler\u001b[38;5;241m.\u001b[39mpersistent_load \u001b[38;5;241m=\u001b[39m persistent_load\n\u001b[0;32m-> 1049\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43munpickler\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mload\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1051\u001b[0m torch\u001b[38;5;241m.\u001b[39m_utils\u001b[38;5;241m.\u001b[39m_validate_loaded_sparse_tensors()\n\u001b[1;32m 1053\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m result\n",
"File \u001b[0;32m~/suspicion/trap/.venv/lib/python3.10/site-packages/torch/serialization.py:1019\u001b[0m, in \u001b[0;36m_load.<locals>.persistent_load\u001b[0;34m(saved_id)\u001b[0m\n\u001b[1;32m 1017\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m key \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m loaded_storages:\n\u001b[1;32m 1018\u001b[0m nbytes \u001b[38;5;241m=\u001b[39m numel \u001b[38;5;241m*\u001b[39m torch\u001b[38;5;241m.\u001b[39m_utils\u001b[38;5;241m.\u001b[39m_element_size(dtype)\n\u001b[0;32m-> 1019\u001b[0m \u001b[43mload_tensor\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnbytes\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m_maybe_decode_ascii\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlocation\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1021\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m loaded_storages[key]\n",
"File \u001b[0;32m~/suspicion/trap/.venv/lib/python3.10/site-packages/torch/serialization.py:1001\u001b[0m, in \u001b[0;36m_load.<locals>.load_tensor\u001b[0;34m(dtype, numel, key, location)\u001b[0m\n\u001b[1;32m 997\u001b[0m storage \u001b[38;5;241m=\u001b[39m zip_file\u001b[38;5;241m.\u001b[39mget_storage_from_record(name, numel, torch\u001b[38;5;241m.\u001b[39m_UntypedStorage)\u001b[38;5;241m.\u001b[39mstorage()\u001b[38;5;241m.\u001b[39m_untyped()\n\u001b[1;32m 998\u001b[0m \u001b[38;5;66;03m# TODO: Once we decide to break serialization FC, we can\u001b[39;00m\n\u001b[1;32m 999\u001b[0m \u001b[38;5;66;03m# stop wrapping with _TypedStorage\u001b[39;00m\n\u001b[1;32m 1000\u001b[0m loaded_storages[key] \u001b[38;5;241m=\u001b[39m torch\u001b[38;5;241m.\u001b[39mstorage\u001b[38;5;241m.\u001b[39m_TypedStorage(\n\u001b[0;32m-> 1001\u001b[0m wrap_storage\u001b[38;5;241m=\u001b[39m\u001b[43mrestore_location\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstorage\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlocation\u001b[49m\u001b[43m)\u001b[49m,\n\u001b[1;32m 1002\u001b[0m dtype\u001b[38;5;241m=\u001b[39mdtype)\n",
"File \u001b[0;32m~/suspicion/trap/.venv/lib/python3.10/site-packages/torch/serialization.py:175\u001b[0m, in \u001b[0;36mdefault_restore_location\u001b[0;34m(storage, location)\u001b[0m\n\u001b[1;32m 173\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mdefault_restore_location\u001b[39m(storage, location):\n\u001b[1;32m 174\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m _, _, fn \u001b[38;5;129;01min\u001b[39;00m _package_registry:\n\u001b[0;32m--> 175\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstorage\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlocation\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 176\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m result \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 177\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m result\n",
"File \u001b[0;32m~/suspicion/trap/.venv/lib/python3.10/site-packages/torch/serialization.py:152\u001b[0m, in \u001b[0;36m_cuda_deserialize\u001b[0;34m(obj, location)\u001b[0m\n\u001b[1;32m 150\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21m_cuda_deserialize\u001b[39m(obj, location):\n\u001b[1;32m 151\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m location\u001b[38;5;241m.\u001b[39mstartswith(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcuda\u001b[39m\u001b[38;5;124m'\u001b[39m):\n\u001b[0;32m--> 152\u001b[0m device \u001b[38;5;241m=\u001b[39m \u001b[43mvalidate_cuda_device\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlocation\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 153\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mgetattr\u001b[39m(obj, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_torch_load_uninitialized\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mFalse\u001b[39;00m):\n\u001b[1;32m 154\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m torch\u001b[38;5;241m.\u001b[39mcuda\u001b[38;5;241m.\u001b[39mdevice(device):\n",
"File \u001b[0;32m~/suspicion/trap/.venv/lib/python3.10/site-packages/torch/serialization.py:136\u001b[0m, in \u001b[0;36mvalidate_cuda_device\u001b[0;34m(location)\u001b[0m\n\u001b[1;32m 133\u001b[0m device \u001b[38;5;241m=\u001b[39m torch\u001b[38;5;241m.\u001b[39mcuda\u001b[38;5;241m.\u001b[39m_utils\u001b[38;5;241m.\u001b[39m_get_device_index(location, \u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m 135\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m torch\u001b[38;5;241m.\u001b[39mcuda\u001b[38;5;241m.\u001b[39mis_available():\n\u001b[0;32m--> 136\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mAttempting to deserialize object on a CUDA \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m 137\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdevice but torch.cuda.is_available() is False. \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m 138\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mIf you are running on a CPU-only machine, \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m 139\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mplease use torch.load with map_location=torch.device(\u001b[39m\u001b[38;5;130;01m\\'\u001b[39;00m\u001b[38;5;124mcpu\u001b[39m\u001b[38;5;130;01m\\'\u001b[39;00m\u001b[38;5;124m) \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m 140\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mto map your storages to the CPU.\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 141\u001b[0m device_count \u001b[38;5;241m=\u001b[39m torch\u001b[38;5;241m.\u001b[39mcuda\u001b[38;5;241m.\u001b[39mdevice_count()\n\u001b[1;32m 142\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m device \u001b[38;5;241m>\u001b[39m\u001b[38;5;241m=\u001b[39m device_count:\n",
"\u001b[0;31mRuntimeError\u001b[0m: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU."
]
}
],
"source": [
"dataset_cache_file = (CACHE_DIR / 'datasets.p')\n",
"if dataset_cache_file.exists():\n",
" dataset_train, dataset_test = torch.load(dataset_cache_file)\n",
" print('loaded', dataset_cache_file)\n",
"else:\n",
" dataset_train, dataset_train = create_datasets()\n",
" torch.save((dataset_train, dataset_test), dataset_cache_file)\n",
" print('saved', dataset_cache_file)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(tensor(False, device='cuda:0'), tensor(False, device='cuda:0'))"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dataset_train.tensors[0].isnan().any(), dataset_train.tensors[1].isnan().any()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(210962, 36, 36)"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(dataset_train), input_seq_length, output_seq_length"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"dataloader_train = DataLoader(dataset_train, batch_size=batch_size, shuffle=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Probablistic Recurrent VAE"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [],
"source": [
"def integrate_output_to_input(output_feature: torch.Tensor, input_feature: torch.Tensor):\n",
" \"\"\"use four params (x,y, dx, dy) to predict dx, dy\n",
" integrate prediction back into input to get a new feature\n",
" \"\"\"\n",
" # input_feature (batch_size, ?, num in_fields)\n",
" # output_feature (batch_size, ?, num out_fields)\n",
" new_positions = input_feature[:,:,0:2] + output_feature\n",
" return torch.cat((new_positions, output_feature), axis=2)\n",
" # return new_feature\n",
" # return torch.tensor([\n",
" # input_feature[0] + output_feature[0],\n",
" # input_feature[1] + output_feature[1],\n",
" # output_feature[0],\n",
" # output_feature[1],\n",
" # ], device=input_feature.device)\n",
"\n",
"\n",
"# VAE\n",
"\n",
"class RPVAE(nn.Module):\n",
" def __init__(self, input_size=2, hidden_size=64, latent_dim=16, future_len=12):\n",
" super().__init__()\n",
" self.hidden_size = hidden_size\n",
" self.latent_dim = latent_dim\n",
" self.future_len = future_len\n",
"\n",
" # Encoder: encodes past trajectory to latent space\n",
" self.encoder = nn.LSTM(input_size, hidden_size, batch_first=True)\n",
" self.fc_mu = nn.Linear(hidden_size, latent_dim)\n",
" self.fc_logvar = nn.Linear(hidden_size, latent_dim)\n",
"\n",
" # Decoder: decodes z to future trajectory\n",
" self.decoder_input = nn.Linear(latent_dim + input_size, hidden_size)\n",
" self.decoder_lstm = nn.LSTM(input_size, hidden_size, batch_first=True)\n",
" self.output = nn.Linear(hidden_size, 2)\n",
"\n",
" def encode(self, x):\n",
" _, (h_n, _) = self.encoder(x) # h_n: (1, batch, hidden)\n",
" h_n = h_n.squeeze(0)\n",
" mu = self.fc_mu(h_n)\n",
" logvar = self.fc_logvar(h_n)\n",
" return mu, logvar\n",
"\n",
" def reparameterize(self, mu, logvar):\n",
" std = torch.exp(0.5 * logvar)\n",
" eps = torch.randn_like(std)\n",
" return mu + eps * std\n",
"\n",
" def decode(self, z, start_pos):\n",
" # Initial hidden state from latent + start position\n",
" batch_size = z.size(0)\n",
" dec_input = torch.cat([z, start_pos], dim=1)\n",
" h = torch.tanh(self.decoder_input(dec_input)).unsqueeze(0) # (1, batch, hidden)\n",
" c = torch.zeros_like(h)\n",
"\n",
" outputs = []\n",
" input_step = start_pos.unsqueeze(1) # (batch, 1, 2)\n",
" for _ in range(self.future_len):\n",
" # print('input_step', input_step.shape)\n",
" # print('input_step', input_step)\n",
" out, (h, c) = self.decoder_lstm(input_step, (h, c))\n",
" pred = self.output(out)\n",
" outputs.append(pred.squeeze(1))\n",
" # print('output_step', pred.shape)\n",
" input_step = integrate_output_to_input(pred, input_step) # feed predicted position as input\n",
" \n",
" # input_step = pred \n",
"\n",
" return torch.stack(outputs, dim=1)\n",
"\n",
" def forward(self, past_traj):\n",
" # past_traj: (batch_size, history_len, num parameters)\n",
" mu, logvar = self.encode(past_traj)\n",
" z = self.reparameterize(mu, logvar)\n",
" \n",
" last_pos = past_traj[:, -1, :] # last observed position\n",
" # print('last_pos', last_pos)\n",
" future_pred = self.decode(z, last_pos)\n",
" return future_pred, mu, logvar"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
"def vae_loss(recon, target, mu, logvar):\n",
" recon_loss = nn.MSELoss()(recon, target)\n",
" # KL Divergence\n",
" kl_loss = -0.5 * torch.mean(1 + logvar - mu.pow(2) - logvar.exp())\n",
" return recon_loss + kl_loss, recon_loss, kl_loss"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [],
"source": [
"def train_rpvae(model, dataloader, epochs=20, lr=1e-3):\n",
" optimizer = torch.optim.Adam(model.parameters(), lr=lr)\n",
" model.train()\n",
" for epoch in range(epochs):\n",
" total_loss = 0\n",
" for past, future in tqdm(dataloader):\n",
" pred, mu, logvar = model(past)\n",
" loss, recon_loss, kl_loss = vae_loss(pred, future, mu, logvar)\n",
" optimizer.zero_grad()\n",
" loss.backward()\n",
" optimizer.step()\n",
" total_loss += loss.item()\n",
" print(f\"Epoch {epoch+1}, Loss: {total_loss/len(dataloader):.4f} (total:{total_loss})\")"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [],
"source": [
"def predict_multiple(model, past_traj, num_samples=5):\n",
" model.eval()\n",
" predictions = []\n",
" with torch.no_grad():\n",
" for _ in range(num_samples):\n",
" pred, _, _ = model(past_traj.unsqueeze(0))\n",
" predictions.append(pred.squeeze(0))\n",
" return torch.stack(predictions) # (num_samples, future_len, 2)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Run training"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
" 0%| | 0/1649 [00:00<?, ?it/s]"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 1649/1649 [00:27<00:00, 60.71it/s]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1, Loss: 0.0015 (total:2.4276419173402246)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 1649/1649 [00:27<00:00, 60.52it/s]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2, Loss: 0.0006 (total:0.980240458418848)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 1649/1649 [00:25<00:00, 63.70it/s]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 3, Loss: 0.0006 (total:0.940998741221847)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 1649/1649 [00:27<00:00, 59.99it/s]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 4, Loss: 0.0006 (total:0.9100368080544285)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 1649/1649 [00:25<00:00, 64.31it/s]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 5, Loss: 0.0005 (total:0.8973619830212556)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 1649/1649 [00:25<00:00, 63.93it/s]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 6, Loss: 0.0005 (total:0.8762864287418779)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 1649/1649 [00:25<00:00, 63.51it/s]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 7, Loss: 0.0005 (total:0.8653568502340931)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 1649/1649 [00:26<00:00, 63.40it/s]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 8, Loss: 0.0005 (total:0.858748087339336)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 1649/1649 [00:26<00:00, 62.45it/s]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 9, Loss: 0.0005 (total:0.8507893867790699)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 1649/1649 [00:26<00:00, 63.08it/s]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 10, Loss: 0.0005 (total:0.8442291679384653)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 1649/1649 [00:26<00:00, 63.12it/s]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 11, Loss: 0.0005 (total:0.8402256505505648)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 1649/1649 [00:26<00:00, 63.25it/s]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 12, Loss: 0.0005 (total:0.8351299523201305)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 1649/1649 [00:26<00:00, 62.70it/s]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 13, Loss: 0.0005 (total:0.8282983377866913)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 1649/1649 [00:26<00:00, 63.07it/s]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 14, Loss: 0.0005 (total:0.8267594532226212)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 1649/1649 [00:26<00:00, 63.20it/s]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 15, Loss: 0.0005 (total:0.8221607875893824)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 1649/1649 [00:26<00:00, 62.41it/s]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 16, Loss: 0.0005 (total:0.8198444427980576)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 1649/1649 [00:26<00:00, 61.50it/s]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 17, Loss: 0.0005 (total:0.8170247735979501)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 1649/1649 [00:26<00:00, 62.95it/s]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 18, Loss: 0.0005 (total:0.8117570877220714)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 1649/1649 [00:26<00:00, 62.83it/s]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 19, Loss: 0.0005 (total:0.8099762515848852)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 1649/1649 [00:26<00:00, 63.02it/s]"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 20, Loss: 0.0005 (total:0.8074558652297128)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\n"
]
}
],
"source": [
"# Train model\n",
"model = RPVAE(input_size=len(in_fields), future_len=output_seq_length).to(device)\n",
"train_rpvae(model, dataloader_train)\n"
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {},
"outputs": [],
"source": [
"model.future_len = 100\n",
"#model.future_len = 36"
]
},
{
"cell_type": "code",
"execution_count": 89,
"metadata": {},
"outputs": [],
"source": [
"\n",
"# Inference on one sample\n",
"past, future = dataset_test[29000]\n",
"samples = predict_multiple(model, past)"
]
},
{
"cell_type": "code",
"execution_count": 90,
"metadata": {},
"outputs": [],
"source": [
"def integrate_samples(first_position, samples):\n",
" # first_position: (2) : [x,y]\n",
" # samples: (num_samples, future_len, 2 [dx, dy])\n",
" \n",
" output = []\n",
" for sample in samples:\n",
" s = torch.cumsum(sample, axis=0) + first_position\n",
" output.append(s)\n",
" # return torch.cumsum(samples)\n",
" # print(output[0].shape)\n",
" return torch.stack(output, dim=0)\n",
"\n",
"future_xy = integrate_samples(past[-1][:2], [future])\n",
"samples = integrate_samples(past[-1][:2], samples)"
]
},
{
"cell_type": "code",
"execution_count": 91,
"metadata": {},
"outputs": [],
"source": [
"past, future, samples = past.cpu(), future_xy[0].cpu(), samples.cpu()"
]
},
{
"cell_type": "code",
"execution_count": 92,
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
"<Figure size 1800x1600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"plt.figure(figsize=(18, 16))\n",
"plt.plot(past[:, 0], past[:, 1], 'b-o', label='Past')\n",
"plt.plot(future[:, 0], future[:, 1], 'g-o', label='Future (GT)')\n",
"\n",
"for i in range(samples.shape[0]):\n",
" plt.plot(samples[i, :, 0], samples[i, :, 1], '--', label=f'Sample {i+1}')\n",
"\n",
"plt.legend()\n",
"plt.title('Trajectory Prediction with RP-VAE Samples')\n",
"plt.xlabel('X')\n",
"plt.ylabel('Y')\n",
"plt.grid(True)\n",
"plt.axis('equal')\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# TODO\n",
"\n",
"* Stop prediction in model.forward() based on out of bounds. Only in inference mode.\n",
"* variable history\n",
"* Duplicate this file and check other notebook for training improvements\n",
" * Error/loss metric\n",
" * Add attention to network?\n",
"* Check Trajectron paper on \"Overshoot\" (use _map_)\n",
"* Ask for suggestions for anomaly metric\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": "3.10.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}