1. Principles and practices¶
This week I worked on defining my final project idea and started to getting used to the documentation process. The first week of Fab Academy! I did a sketch of my project and added it to the Final Project page.
Aim¶
Test 2 models on Mac and check frame rate/ object accuracy:
- See which is easier / takes lesser time to make
- See which is lighter/ more efficient
RESOURCES¶
Python on Xcode for Mac¶
Learning Python
- Python inbuilt functions
- Python Getting started
- Python package installation
- 4 hour python tutorial
- Python Serial
- Make 2 python programs talk to each other
Serial communication on RPi¶
Tools for ML:¶
- Most efficient object detection algorithm, Open CV python & Tensorflow needed
- YOLO, needs OpenCV,Tensorflow,NumPy
- YOLO video
- IBM PowerAI + OpenCV
Already completed software:
Arduino code:
NEOPIXEL:
Raspbian OS install on Mac¶
TensorFlow for Raspberry:
OpenCV on Raspberry Pi:
OpenCV4 on Mac:
Keras for Raspberry Pi:
Transfer files to Raspberry Pi from Mac
OpenCV MV Dataset:
Darknet for YOLO
Keras¶
Camera machine learning- other options: