My repo for the machine learning Engineering design group
If using gitpod.io to start apache2 into the public folder type
apachectl start
Vision Classify reminder site
https://hpssjellis.github.io/multi-language-edgeimpulse-tutorial-vision-cell-phone/#top
RC car ML downloads at downloads
.
Maker100 at https://github.com/hpssjellis/maker100
the old posenet, websocket hack site
https://github.com/hpssjellis/Particle-Spark-Core-Photon-Websocket-Hack
another one to try is
https://github.com/hpssjellis/arduino-simple-websocket
Check out the Price List before classes start
.
This repository Github repo url https://github.com/hpssjellis/machine-learning-gearbots-jer
Github website URL https://hpssjellis.github.io/machine-learning-gearbots-jer/public/
.
Github https://github.com/LiamOnGithub/Gearbots-Engineering
website https://LiamOnGithub.github.io/Gearbots-Engineering/public/
https://github.com/midnight4577/midnight4577.github.io
website https://midnight4577.github.io/public/index.html
https://github.com/poderman/Rc-car
website https://poderman.github.io/Rc-car/public/
James
This is my GitHub https://github.com/GavidD/David
website: https://gavidd.github.io/David/public/
.
.
.
.
https://romeogrey.github.io/Gearbots-Romeo/public/index.html
Repo https://github.com/DiamondAaronXG/summer-2021-ml-gearbots-aaron
Website https://diamondaaronxg.github.io/summer-2021-ml-gearbots-aaron/public/index.html
Repo https://github.com/Brocktondailey/Just-yes
Website https://brocktondailey.github.io/Just-yes/public/index.html
Repo https://github.com/Mik-97/summer-2021-ml-mikolas
Website https://mik-97.github.io/summer-2021-ml-mikolas/public/index.html
Repo https://github.com/shaunoh/gearrbot-robotics-me
Website https://shaunoh.github.io/gearrbot-robotics-me/public/index.html
Repo https://github.com/Ninjakai100/gerbots-summer-kai
Website https://ninjakai100.github.io/gerbots-summer-kai/public/index.html
.
July 8th, Thursday
- Login to EdgeImpulse.com
- Click Profile Picture and "Create new Project"
- Label it "ei-name-0unknown-1item-2item-v0.0.1"
- Go to devices menu or click 3 lines at the top left then click devices
- Click connect a new device
- Click Use mobile phone, Show QR Code
- Connect your phone --> "Collect Images --> Give access to camera"
- Change label to "0unknow" or #Label"
- Collect +30 images and change label and repeat
- Data Aquisiton check data and labels. edit if needed
- menu impulse design --> create Impulse
- add yellow star processing and learning blocks - save
- Click memnu Image --> Generate features --> generate features
- transfer Learning --> Start training
- click Menu Live Classification
- on cell phone "Switch to classification mode"
- cell phone click "classify" and read percents 0.45 = 45%
- deployment --> WA (webAssembly) --> unzip
- copy the 2 files to your github folder
- make index.html from https://raw.githubusercontent.com/hpssjellis/my-examples-of-edge-impulse/main/public/downloads/index.html
- view webpage
Brandon's Circuit Diagram
https://nathannull.github.io/GearbotsNS/public/index.html
https://machinelearning3dprinting.github.io/gearbot_brandon/public/index.html
.
July 7th Wed Making own impulses.
July 6th,
Edge Impulse Fixed the pen time model
July 5th 9am-noon
Set everybodies github up for webpages "gitpages" with public folder and index.html
made new folder called ml-yes-no with index.html
copied edgeimpulse WA "WASM" edge-impulse-standalone.js and edge-impulse-standalone.wasm files to the folder
copied https://github.com/hpssjellis/my-examples-of-edge-impulse/blob/main/public/downloads/index.html to the same folder as the above files
.
Repo https://github.com/shaunoh/gearrbot-robotics-me Website https://shaunoh.github.io/gearrbot-robotics-me/public/index.html
MIA Students
https://github.com/Morganv2/Machine-Learning-Gear-Bots-Jeremy
Website https://Morganv2.github.io/Machine-Learning-Gear-Bots-Jeremy/public/index.html
Myt Github https://github.com/darrenkwon/Gearbots-Engineering-2020-
website https://darrenkwon.github.io/Gearbots-Engineering-2020-/public/
Github https://github.com/ethan-will/machine-learning-gearbots-eth
Website https://ethan-will.github.io/machine-learning-gearbots-eth/public/