DeepLSD

Line detector

A software framework for detecting and refining line segments in images using deep learning techniques

Implementation of the paper "DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients"

GitHub

497 stars
8 watching
63 forks
Language: Jupyter Notebook
last commit: about 2 months ago

Related projects:

Repository Description Stars
cvg/sold2 A deep learning framework for detecting and describing lines in images, particularly robust to occlusion 549
navervision/mlsd Develops efficient and real-time line segment detection software for resource-constrained environments. 543
mlpc-ucsd/letr An algorithm for line segment detection using Transformers without edges 211
cherubicxn/afm_cvpr2019 An implementation of line segment detection using convolutional neural networks and a coupled region coloring problem 297
cleinc/linedetector This project provides an efficient line segment detector using OpenCV. 83
svip-lab/ppgnet This project presents a PyTorch implementation of a deep learning algorithm for detecting line segments in images. 172
siyuada7/tp-lsd An implementation of a line segment detection algorithm in computer vision 143
yanconglin/deep-hough-transform-line-priors This implementation introduces line priors into a deep learning-based line detection system to improve efficiency and accuracy. 163
thelegendali/deeplab-context An implementation of a deep learning system for semantic image segmentation using a combination of convolutional neural networks and conditional random fields. 239
delay-xili/f-clip Provides an implementation of a neural network for detecting lines in images and videos 156
dolotovevgeniy/deeppyramid A repository providing pre-trained models and training scripts for face detection using a deep neural network architecture 23
hanqer/deep-hough-transform A deep learning-based approach to semantic line detection 345
shenwei1231/deepcontour Develops a deep learning-based contour detection system with a focus on accuracy and performance. 94
szq0214/dsod A deep learning-based object detection system from scratch 706
damo-nlp-sg/vcd An approach to reduce object hallucinations in large vision-language models by contrasting output distributions derived from original and distorted visual inputs 222