213 lines
956 KiB
Text
213 lines
956 KiB
Text
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "3418c253",
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import cv2\n",
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"%matplotlib inline \n",
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"from matplotlib import pyplot as plt"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"id": "e426ccce",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": "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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"episodes = [\n",
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" \"./episodes/B1_t05.mkv\",\n",
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" \"./episodes/B1_t06.mkv\",\n",
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" \"./episodes/B1_t07.mkv\",\n",
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" \"./episodes/B1_t08.mkv\",\n",
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" \"./episodes/B1_t09.mkv\",\n",
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" \"./episodes/B1_t10.mkv\",\n",
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"]\n",
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"\n",
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"references = {\n",
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" \"1\" : [\n",
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" cv2.imread(\"./1/9hYDr40VIWbAHGjmlpSkyqlDaVQ.webp\"),\n",
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" cv2.imread(\"./1/cmYUHroQ9zRhOYiTf0ozMWe1Bzs.webp\"),\n",
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" cv2.imread(\"./1/yLwaP7Y7O3Wyrht9lPmTDk7LSuG.webp\"),\n",
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" ],\n",
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" \"2\" : [\n",
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" cv2.imread(\"./2/g2pyyFRFBS18jYByRdiunWr7nap.webp\"),\n",
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" cv2.imread(\"./2/wKCm3I7efXfsWGNrG28d3cIsL9B.webp\"),\n",
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" cv2.imread(\"./2/yhL1JBnTDK30BtPbr8gZ5ZXCASL.webp\"),\n",
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" ],\n",
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" \"3\" : [\n",
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" cv2.imread(\"./3/d9F2x01XNhi65GTXwQjrdDJKgqm.webp\"),\n",
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" cv2.imread(\"./3/kV7VAvLgjjhPTI56OnNvcNaHjDM.webp\"),\n",
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" cv2.imread(\"./3/mLxkumagHSYg4KNLcEIgHpiJrx.webp\"),\n",
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" ],\n",
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" \"4\" : [\n",
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" cv2.imread(\"./4/9q62zw89SJiRD3kjNuhUIswWHTa.webp\"),\n",
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" cv2.imread(\"./4/lyi4XUUssCacaEQs2FCGSDCKDUK.webp\"),\n",
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" ],\n",
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" \"5\" : [\n",
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" cv2.imread(\"./5/uIztge10KNlRU4KUFNXWPGCiG8e.webp\"),\n",
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" cv2.imread(\"./5/vuhdflodFfPkvekVWbS4JZMYHa7.webp\"),\n",
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" cv2.imread(\"./5/xmvi4bBk5TQyuL6tpiYvNoIPft.webp\"),\n",
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" ],\n",
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" \"6\" : [\n",
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" cv2.imread(\"./6/2I7WgvRwnYDNjbiztvbOAldYGde.webp\"),\n",
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" cv2.imread(\"./6/dIaBagmUbP1AO6xFQzfQud5lk4I.webp\"),\n",
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" cv2.imread(\"./6/ekDZrFRDJDyx78uttMyVT9mPhjL.webp\"),\n",
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" ],\n",
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"}\n",
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"\n",
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"\n",
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"plt.imshow(references[\"1\"][0], interpolation='nearest')\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "82d0769a",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"31260.0"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"ep0 = cv2.VideoCapture(episodes[0])\n",
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"frame_count = ep0.get(cv2.CAP_PROP_FRAME_COUNT)\n",
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"\n",
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"frame_count"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "a0e5349d",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 640x480 with 1 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"ep0.set(cv2.CAP_PROP_POS_FRAMES, 5000)\n",
|
||
|
|
"success, frame = ep0.read()\n",
|
||
|
|
"\n",
|
||
|
|
"plt.imshow(frame, interpolation='nearest')\n",
|
||
|
|
"plt.show()"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 24,
|
||
|
|
"id": "6ae064b8",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"def normalize(image):\n",
|
||
|
|
" return cv2.resize(image, (160*2,90*2))"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 23,
|
||
|
|
"id": "21298d0a",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 640x480 with 1 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"ep0.set(cv2.CAP_PROP_POS_FRAMES, 5000)\n",
|
||
|
|
"success, frame = ep0.read()\n",
|
||
|
|
"\n",
|
||
|
|
"frame = normalize(frame)\n",
|
||
|
|
"\n",
|
||
|
|
"plt.imshow(frame, interpolation='nearest')\n",
|
||
|
|
"plt.show()"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 25,
|
||
|
|
"id": "1bf2104c",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 640x480 with 1 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"\n",
|
||
|
|
"plt.imshow(normalize(references[\"1\"][0]), interpolation='nearest')\n",
|
||
|
|
"plt.show()"
|
||
|
|
]
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"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": "3.12.3"
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"nbformat": 4,
|
||
|
|
"nbformat_minor": 5
|
||
|
|
}
|