style: [CI] cleanup python notebooks

apperception-db · Nov 3, 2023 · 0ae3931 · 0ae3931
1 parent b228563
commit 0ae3931
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Showing 2 changed files with 51 additions and 14,459 deletions.
diff --git a/evaluation/ablation/longvideo.ipynb b/evaluation/ablation/longvideo.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": null,
    "id": "7f78c96d-1a45-4ced-8c65-d7c775992139",
    "metadata": {},
    "outputs": [],
@@ -24,18 +24,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "id": "b2a726fa-f53a-4f86-bd1a-102f8371f6e9",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "/data/chanwutk/projects/spatialyze-ablation\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "\n",
     "def is_notebook() -> bool:\n",
@@ -66,19 +58,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "id": "fa64ff96-ad9a-482f-8c17-8db1ffce043f",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "True\n",
-      "/data/apperception-data/processed/nuscenes/full-dataset-v1.0/Trainval\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "NUSCENES_PROCESSED_DATA = \"NUSCENES_PROCESSED_DATA\"\n",
     "print(NUSCENES_PROCESSED_DATA in os.environ)\n",
@@ -87,21 +70,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "id": "ebc0dbe2-8236-4ed9-a048-3d64d456a094",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'scene-0001-CAM_FRONT'"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "DATA_DIR = os.environ[NUSCENES_PROCESSED_DATA]\n",
     "# with open(os.path.join(DATA_DIR, \"videos\", \"frames.pkl\"), \"rb\") as f:\n",
@@ -114,18 +86,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "id": "fc2bbf71-3aa0-4d2a-a9b5-a6d27097a043",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0523 0778 467\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "\n",
     "with open('./data/evaluation/video-samples/boston-seaport.txt', 'r') as f:\n",
@@ -135,7 +99,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "id": "c8a069a6-0bdc-4bc4-afc6-b96132306775",
    "metadata": {},
    "outputs": [],
@@ -147,28 +111,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "id": "03af58b4-db6d-40d4-b3ab-b9429d73056d",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'boston-seaport-scene-0523-CAM_FRONT.mp4'"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "video_filename"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": null,
    "id": "38f3f36b-e381-4de7-81f9-fdc70810c271",
    "metadata": {},
    "outputs": [],
@@ -186,29 +139,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "id": "5f1b5b82-9ee4-459e-86f3-1fc863ae9502",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "  2%|█▊                                                                               | 23/1000 [01:08<48:42,  2.99s/it]\n"
-     ]
-    },
-    {
-     "ename": "KeyboardInterrupt",
-     "evalue": "",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[28], line 6\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m tqdm(\u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m1000\u001b[39m)):\n\u001b[1;32m      5\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m frame \u001b[38;5;129;01min\u001b[39;00m frames:\n\u001b[0;32m----> 6\u001b[0m         \u001b[43mresult\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwrite\u001b[49m\u001b[43m(\u001b[49m\u001b[43mframe\u001b[49m\u001b[43m)\u001b[49m \n\u001b[1;32m      7\u001b[0m result\u001b[38;5;241m.\u001b[39mrelease() \n\u001b[1;32m      8\u001b[0m cv2\u001b[38;5;241m.\u001b[39mdestroyAllWindows()\n",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "result = cv2.VideoWriter('./loop-video.avi',  \n",
     "                         cv2.VideoWriter_fourcc(*'MJPG'), \n",