update,

uukssw/quote1/NOTES.md

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+Hi,寶達邨的豬～？😂😂
+
+你好呀，想搵你代寫 coding, 想問價的 🥹
+
+份 project 係關於 design and development of an AI LIDAR sensor for fall detection
+
+但係份 project 已經做左部份，有少少諗法
+打算用 LSTM + Openpose 去做一個 skeleton based 嘅 human fall detection
+之後再加小小 soft alarm 整到個 system 好似多啲功能咁
+所以最後需要一個 gui 去整合所有功能
+
+個 Lidar sensor 就係現成嘅，所有 training dataset 打算都係用普通嘅 camera video train 左先，之後再加 d lidar sensor 嘅 video 再 train
+
+份 project 係想盡量做到 real time detection 嘅
+
+Avatar
+如果你方便嘅話，我想分享埋而家遇到嘅問題俾你睇下 🥹😂😂
+
+```
+你好，我想問:
+1. ug  / ive / dip ?
+2. 你係 solo project 定係 group project ?
+3. lidar hardware 你攪得掂?
+4. 你想我落 code 係邊部份?
+5. deadline 幾時?
+6. 用緊 tensorflow/pytorch ?
+7. 你自己有冇 GPU ?
+
+---
+
+1. Ug
+2. Group project
+3. 只要stream 到2個screen 出嚟，就搞得掂（例如stream 右上角＆左下角of the screen?)
+4. 主要想你幫手LSTM + open pose 果part, 尤其係realtime output json data from open pose library, 再轉返去csv for model testing
+如果可以嘅話，想你幫手搞埋個gui 😖 特別係stream 兩個image (depth image & lidar image)出嚟再process （暫時諗落成三個path, 唔知會唔會炒車）（或者到時可以send 個demo 片俾你試吓）
+5. Deadline 係三月尾
+6. 本身用緊Google colab，但係太多限制，正打算轉個platform
+7. Google colab 有？
+```
+
+https://drive.google.com/drive/folders/1OZsp-3nGTGX9oHfPpXmNgNCWI1fRevAS
+
+---
+
+https://github.com/ekramalam/GMDCSA24-A-Dataset-for-Human-Fall-Detection-in-Videos/tree/master

uukssw/quote1/from_customer/Ai Lidar/LSTM Dataset/FYP Dataset.v2i.coco-segmentation/README.dataset.txt

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+# FYP Dataset > 2023-12-04 2:07am
+https://universe.roboflow.com/nstp/fyp-dataset-pxqgu
+
+Provided by a Roboflow user
+License: CC BY 4.0
+

uukssw/quote1/from_customer/Ai Lidar/LSTM Dataset/FYP Dataset.v2i.coco-segmentation/README.roboflow.txt

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+
+FYP Dataset - v2 2023-12-04 2:07am
+==============================
+
+This dataset was exported via roboflow.com on December 3, 2023 at 9:10 PM GMT
+
+Roboflow is an end-to-end computer vision platform that helps you
+* collaborate with your team on computer vision projects
+* collect & organize images
+* understand and search unstructured image data
+* annotate, and create datasets
+* export, train, and deploy computer vision models
+* use active learning to improve your dataset over time
+
+For state of the art Computer Vision training notebooks you can use with this dataset,
+visit https://github.com/roboflow/notebooks
+
+To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
+
+The dataset includes 262 images.
+Furniture-ERWu are annotated in COCO Segmentation format.
+
+The following pre-processing was applied to each image:
+* Auto-orientation of pixel data (with EXIF-orientation stripping)
+* Resize to 640x640 (Stretch)
+
+No image augmentation techniques were applied.
+
+