test_models.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "\n",
    "from detection.testing import create_output_csv, save_labeled_video\n",
    "\n",
    "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
    "print(device)\n",
    "\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Create output data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from train_configurations import tracknet_v2_rnn\n",
    "create_output_csv(tracknet_v2_rnn, is_rnn=True, training_phase='phase_3_1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from train_configurations import tracknet_v2_rnn_scheduler\n",
    "create_output_csv(tracknet_v2_rnn_scheduler, is_rnn=True, training_phase='phase_3_1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from train_configurations import tracknet_v2_6f_pretrained\n",
    "create_output_csv(tracknet_v2_6f_pretrained, device=device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from train_configurations import tracknet_v2_6f\n",
    "create_output_csv(tracknet_v2_6f, device=device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from train_configurations import tracknet_v2_4f\n",
    "create_output_csv(tracknet_v2_4f, device=device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from train_configurations import tracknet_v2_2f\n",
    "create_output_csv(tracknet_v2_2f, device=device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from train_configurations import tracknet_v2\n",
    "create_output_csv(tracknet_v2, device=device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from train_configurations import regnet_y_400mf\n",
    "create_output_csv(regnet_y_400mf, device=device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from train_configurations import regnet_y_800mf\n",
    "create_output_csv(regnet_y_800mf, device=device)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Create output video"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from train_configurations import tracknet_v2_rnn\n",
    "save_labeled_video(tracknet_v2_rnn, training_phase='phase_3_1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from train_configurations import tracknet_v2_rnn_scheduler\n",
    "save_labeled_video(tracknet_v2_rnn_scheduler, training_phase='phase_3_1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from train_configurations import tracknet_v2_6f_pretrained\n",
    "save_labeled_video(tracknet_v2_6f_pretrained)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from train_configurations import tracknet_v2_6f\n",
    "save_labeled_video(tracknet_v2_6f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from train_configurations import tracknet_v2_4f\n",
    "save_labeled_video(tracknet_v2_4f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from train_configurations import tracknet_v2_2f\n",
    "save_labeled_video(tracknet_v2_2f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from train_configurations import tracknet_v2\n",
    "save_labeled_video(tracknet_v2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from train_configurations import regnet_y_400mf\n",
    "save_labeled_video(regnet_y_400mf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from train_configurations import regnet_y_800mf\n",
    "save_labeled_video(regnet_y_800mf)"
   ]
  }
 ],
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   "display_name": "pytorch",
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  "language_info": {
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