Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
yolo-tf2
| Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning | yolo-tf2 | |
|---|---|---|
| 8 | 1 | |
| 57 | 747 | |
| - | - | |
| 3.6 | 7.6 | |
| about 3 years ago | almost 2 years ago | |
| Jupyter Notebook | Python | |
| MIT License | MIT License |
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Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
- Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN based on the BDD100K dataset
- [P] Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN on the BDD100K dataset, Goethe University Frankfurt Germany (Fall 2020)
- Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN on the BDD100K dataset, Goethe University Frankfurt Germany (Fall 2020)
- Real-time Object Detection for Autonomous Driving using Deep Learning, Goethe University Frankfurt Germany (Fall 2020)
yolo-tf2
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How to write a resume for python / ML jobs?
my most useful project is yolo object detector implementation in tf2 and I'm currently working on 2 other projects, one of which is the implementation of various drl algorithms in tf and the other project will be based on the latter and it's concerned with trading. The rest are more of scripts rather than projects ex: web scraping, file management, programming challenges ...
What are some alternatives?
get-started-with-JAX - The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
Beginner-Traffic-Light-Detection-OpenCV-YOLOv3 - This is a python program using YOLO and OpenCV to detect traffic lights. Works in The Netherlands, possibly other countries
simple-faster-rcnn-pytorch - A simplified implemention of Faster R-CNN that replicate performance from origin paper
deepsparse - Sparsity-aware deep learning inference runtime for CPUs
lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
NYU-DLSP20 - NYU Deep Learning Spring 2020
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)
onnx-tensorflow - Tensorflow Backend for ONNX