delete unrelated files

1.sh

@@ -1,23 +0,0 @@
-#!/bin/bash
-
-
-# 查找并跟踪大于10MB的文件
-find . -size +10M -type f | while read file; do
-    git lfs track "$file"
-done
-
-# 把 .gitattributes 添加到 Git
-git add .gitattributes
-git commit -m "Track large files using Git LFS"
-
-# 移除这些文件的缓存（不删除文件本身），然后重新添加和提交它们
-find . -size +10M -type f | while read file; do
-    git rm --cached "$file"  # 移除缓存
-    git add "$file"  # 重新添加文件
-done
-
-# 创建一个提交
-git commit -m "Re-add large files to track them with Git LFS"
-
-# 现在可以尝试推送到远程仓库
-git push origin main

scene-graph/scene_graph/combine.ipynb

@@ -1,133 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import json\n",
-    "with open('ActionGenome.jsonl', 'r') as f:\n",
-    "    data = [json.loads(line) for line in f]\n",
-    "    \n",
-    "with open('pvsg_relations.jsonl', 'r') as f:\n",
-    "    data2 = [json.loads(line) for line in f]\n",
-    "    \n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'video_id': '50N4E',\n",
-       " 'query_id': 0,\n",
-       " 'video_path': 'ActionGenome/50N4E.mp4',\n",
-       " 'subject': 'Person',\n",
-       " 'relation': 'in_front_of',\n",
-       " 'object': 'dish',\n",
-       " 'relation_type': 'spatial'}"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data[0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'query_id': 0,\n",
-       " 'video_id': '0001_4164158586',\n",
-       " 'video_path': 'PVSG/Vidor/0001_4164158586.mp4',\n",
-       " 'num_frames': 180,\n",
-       " 'height': 360,\n",
-       " 'subject': 'adult',\n",
-       " 'relation': 'holding',\n",
-       " 'object': 'child',\n",
-       " 'duration': [[102, 110]]}"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data2[0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "new_items = {}\n",
-    "for item in data:\n",
-    "    item.pop('video_id')\n",
-    "    item.pop('query_id')\n",
-    "    new_item = item\n",
-    "    id = item['video_path'].replace('.mp4', '').replace('/', '_')\n",
-    "    new_item['original_dataset'] = 'Action Genome'\n",
-    "    new_item['video_path'] = 'videos/' + item['video_path']\n",
-    "    new_items[id] = new_item\n",
-    "    \n",
-    "for item in data2:\n",
-    "    item.pop('video_id')\n",
-    "    item.pop('query_id')\n",
-    "    new_item = item\n",
-    "    id = item['video_path'].replace('.mp4', '').replace('/', '_')\n",
-    "    new_item['original_dataset'] = 'PVSG'\n",
-    "    new_item['video_path'] = 'videos/' + item['video_path']\n",
-    "    new_items[id] = new_item\n",
-    "\n",
-    "with open('combined.json', 'w') as f:\n",
-    "    json.dump(new_items, f, indent=4)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "with open('combined.json', 'w') as f:\n",
-    "    json.dump(new_items, f, indent=4)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "torch",
-   "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": "3.9.18"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}