American-Sign-Language | developed using Python3 , OpenCV | Computer Vision library
kandi X-RAY | American-Sign-Language Summary
kandi X-RAY | American-Sign-Language Summary
The application is developed using Python3, OpenCV and with concepts of Neural Networks it is trained on DarkNet 53 and for the real time object detection I am using Yolo v3. It detects the 1 hand representation of number 1-10 which will be pointed by the user in real time using American Sign Language
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Top functions reviewed by kandi - BETA
- Run yolo3 .
American-Sign-Language Key Features
American-Sign-Language Examples and Code Snippets
Community Discussions
Trending Discussions on American-Sign-Language
QUESTION
I can't apply fixed height with scroll. When I fixed height container blow up all div's height. How can I fixed height div? Fixed tree items in container. I made fix container height '200px' but it doesn't work. Maybe there is something simple but I can't see.
Here's my simple code:
...ANSWER
Answered 2019-Feb-25 at 12:00Use this instead
QUESTION
This is what I am doing:
I am developing a memory game, in which the user has to match deck contents. Whenever a user clicks on a deck content, it is flipped revealing the icon the card is holding. There will be two cards with the same icon that the user has to match.
I am unable to click on more than one element (I am only able to flip one element).
Below is my code:
...ANSWER
Answered 2018-Apr-01 at 10:59You can try this:
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Vulnerabilities
No vulnerabilities reported
Install American-Sign-Language
You can use American-Sign-Language 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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