nacayu/CRFNet_Tensorflow2.4.1
Reproduce CRFNet official implementation on windows10, tensorflow2.4.1
This project helps self-driving car engineers and researchers build and evaluate object detection systems that combine data from both cameras and radars. It takes raw camera images and radar sensor readings as input, and outputs precise bounding boxes around objects, enhancing detection accuracy, especially in challenging conditions. The primary users are researchers and engineers working on autonomous vehicle perception systems.
No commits in the last 6 months.
Use this if you need to train or evaluate an object detection model that fuses camera and radar data for autonomous driving applications.
Not ideal if you are looking for a general-purpose object detection tool that doesn't specifically leverage radar data or if your focus is not on automotive perception.
Stars
42
Forks
5
Language
Python
License
—
Category
Last pushed
Apr 25, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/nacayu/CRFNet_Tensorflow2.4.1"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
kermitt2/delft
a Deep Learning Framework for Text https://delft.readthedocs.io/
yoeo/guesslang
Detect the programming language of a source code
matthewdeanmartin/whats_that_code
detect programming language of source in pure python from an ensemble of classifiers
airalcorn2/Deep-Semantic-Similarity-Model
My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent...
christiansafka/img2vec
:fire: Use pre-trained models in PyTorch to extract vector embeddings for any image