Skip to content

Latest commit

 

History

History
39 lines (28 loc) · 1.54 KB

README.md

File metadata and controls

39 lines (28 loc) · 1.54 KB
Raw

Raspberry Version of park detection

The contents of this folder are used to detect cars on parks using a Raspberry pi.
We used picamera to take pictures with raspberry.
The rasp_run_detection.py script also sends the data to thingsboard using requests.

Dependancies:

  • Python 3+
  • picamera
  • MachineLearning.rasp_model (In this repository)
  • tqdm
  • JSON
  • Pickle
  • Pillow
  • TFlearn
  • Tensorflow (for raspberry)

Installation guide can be found here

ConfigureClient.py

An client (with ui) which can and should be used to configure your installed raspberry. Uses tcp to move information between your config pc and raspberry. User Guide.

stream_server.py

A tcp server for raspberry pi, sends images to configure client and receives points of interest.

rasp_find_objects_from_image.py

This module contains a class called ObjectRecognition which uses MachineLearning.rasp_model to predict crops from an image.

points.poi

A pickle file containing the points of interest sent from ConfigureClient.

rasp_run_detection.py

An example of a main loop, detecting cars with raspberry pi.

Camera.py

Contains a class which can take pictures with picamera. get_frame() takes an picture and returns it.