yolo-tf2 VS Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning

Compare yolo-tf2 vs Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning and see what are their differences.

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning

My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset. (by alen-smajic)
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yolo-tf2 Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
1 8
747 57
- -
7.6 3.6
over 1 year ago about 3 years ago
Python Jupyter Notebook
MIT License MIT License
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yolo-tf2

Posts with mentions or reviews of yolo-tf2. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning yolo-tf2 yet.
Tracking mentions began in Dec 2020.

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning

Posts with mentions or reviews of Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing yolo-tf2 and Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning you can also consider the following projects:

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.

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

deepsparse - Sparsity-aware deep learning inference runtime for CPUs

HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.3.1, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

onnx-tensorflow - Tensorflow Backend for ONNX

xview-yolov3 - xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.

yolov4-custom-functions - A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.

simple-faster-rcnn-pytorch - A simplified implemention of Faster R-CNN that replicate performance from origin paper