pitanq | home tank built with open source hardware
kandi X-RAY | pitanq Summary
kandi X-RAY | pitanq Summary
PiTanq is a home tank built with open source hardware and powered by Raspberry Pi. Its primary purpose is to help learning AI for vehicles like self-driving, mapping, location. Also it is a nice toy.
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Top functions reviewed by kandi - BETA
- Filter a small image
- Filters out the gray pixels in the image
- Calculate the average of the image
- Calculate the clr weight given a set of coefficients
- Go to target
- Return the azimuth between two points
- Return the distance between two points
- Run inference on an image
- Convert a node id to a string
- Create a graph from saved graph_def
- Follow the robot
- Handle pic file
- Parse image file and handle contours
- Calculates the vector of a box
- Start the GPS timer
- Load a label map
- Compute the azimuth between two points
- Classify TF classification
- Gets the coordinates of the motors
- Calculate the average area of an image
- Create a category index from a label map
- Start the navigation thread
- Get the distance from the GPIO
- Filters out a gray image based on filter
- Returns a list of pic
- Make a photo
- Set motors
- Return the gps distance between two points
- Set the frequency of the PWM
pitanq Key Features
pitanq Examples and Code Snippets
Community Discussions
Trending Discussions on Internet of Things (IoT)
QUESTION
I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files
...ANSWER
Answered 2020-May-17 at 23:55The new object to get params in React Navigation 5 is:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pitanq
You can use pitanq like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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