108 lines
3.1 KiB
Plaintext
108 lines
3.1 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 使用光流技術檢測手掌移動\n",
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"\n",
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"此實驗是 [AI 初學者課程](http://aka.ms/ai-beginners) 的一部分。\n",
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"\n",
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"請參考[這段影片](../../../../../../lessons/4-ComputerVision/06-IntroCV/lab/palm-movement.mp4)，影片中一個人的手掌在穩定的背景上向左/右/上/下移動。\n",
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"\n",
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"**你的目標**是使用光流技術來判斷影片中哪些部分包含向上/向下/向左/向右的移動。\n",
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"\n",
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"首先，按照課堂中的描述獲取影片幀：\n"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"# Code here"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"現在，按照講座中描述的計算密集光流幀，並將密集光流轉換為極座標：\n"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"# Code here"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"為每個光流幀建立方向的直方圖。直方圖顯示有多少向量落在特定的區間內，並應該將幀中不同方向的運動區分開來。\n",
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"\n",
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"> 你可能也會想要將大小低於某個閾值的所有向量歸零。這樣可以去除影片中一些微小的多餘運動，例如眼睛和頭部的移動。\n",
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"\n",
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"繪製一些幀的直方圖。\n"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"# Code here"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"看著直方圖，應該很容易判斷移動的方向。你需要選擇那些對應於上/下/左/右方向的區間，並且超過某個閾值的區間。\n"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"# Code here"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"恭喜！如果您已完成以上所有步驟，您已完成實驗！\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n---\n\n**免責聲明**： \n本文件已使用 AI 翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。儘管我們努力確保翻譯的準確性，但請注意，自動翻譯可能包含錯誤或不準確之處。原始文件的母語版本應被視為權威來源。對於關鍵信息，建議使用專業人工翻譯。我們對因使用此翻譯而引起的任何誤解或誤釋不承擔責任。\n"
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]
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