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Lane-Line-Detection-using-Image-Processing-vs-Deep-Learning
Lane line detection technique is used in many self-driving autonomous vehicles as well as line-following robots,We developed a software to Detect lane lines in a variety of conditions, including changing road surfaces, curved roads, and variable lighting. An image processing based detection and a deep learning AI detection are to be implemented, evaluated and compared in the scope of this project and the final is an easy to use sandbox for lane detection in the proposed methods.Image-Data-Augmentation-with-Keras
Design-Patterns
beginning
python testsmedical-consulting
medical consultingdjango3-password-generator
Password generator RandomlyJS-zero-to-hero
Object-Detection-Using-Detectron
The main objective of this project is to make a comparison between the performance of neural networks on both the CPU and the VPU in terms of speed and time. In this project - instead of training an object detection model from scratch using our own data set - we used a framework called Detecton2, which uses the latest models such as Fast, Faster, Mask R-CNN...etc. Detectron2 is FAIR's next-generation platform for object detection and segmentation.try-django-3.2
chanceofhope
chat-app-using-Channels
Backist
Movies-site
DFNR
Modern-js
Design-Patterns-Python-implementation
Mastering-OpenCV-4-with-Python
Pig-Game
Guess-The-Number-
Spark-Training
K-Q-in-java
mock-repo
Storefront
OCR
Movie-app
Remote-Database-Access
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