{ "cells": [ { "cell_type": "code", "execution_count": 4, "id": "71738276-e1d0-48e4-b1af-6645cbef6054", "metadata": {}, "outputs": [], "source": [ "import os\n", "import sys\n", "import json\n", "import numpy as np\n", "import torch\n", "from torch import nn\n", "from torch import optim\n", "from torch.optim import lr_scheduler\n", "\n", "from model import generate_model\n", "from mean import get_mean, get_std\n", "from spatial_transforms import *\n", "from temporal_transforms import *\n", "from target_transforms import ClassLabel, VideoID\n", "from target_transforms import Compose as TargetCompose\n", "from dataset import get_training_set, get_validation_set, get_test_set\n", "from utils import *\n", "from train import train_epoch\n", "from validation import val_epoch\n", "import test" ] }, { "cell_type": "code", "execution_count": null, "id": "9e958ca7-b0db-4d5c-9af5-71047b6fecfe", "metadata": {}, "outputs": [], "source": [ "num_classes = 25\n", "sample_size = \n", "sample_duration = " ] }, { "cell_type": "code", "execution_count": null, "id": "09f2a511-c391-42bd-8b02-eb8338b80eb5", "metadata": {}, "outputs": [], "source": [ "model = " ] }, { "cell_type": "code", "execution_count": null, "id": "5909edfa-9b55-4df3-9bfa-0459adf85bea", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "93091f21-bd9a-46e2-b309-b28c9502b2fe", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.9.17" } }, "nbformat": 4, "nbformat_minor": 5 }