strv-ml-mask2face VS Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning

Compare strv-ml-mask2face 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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strv-ml-mask2face Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
1 8
52 57
- -
0.0 3.6
almost 3 years ago about 3 years ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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strv-ml-mask2face

Posts with mentions or reviews of strv-ml-mask2face. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing strv-ml-mask2face and Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning you can also consider the following projects:

lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

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-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x

Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

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

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0

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

pix2seq - Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)

diffae - Official implementation of Diffusion Autoencoders

NYU-DLSP20 - NYU Deep Learning Spring 2020