mlsd

Line detector

Develops efficient and real-time line segment detection software for resource-constrained environments.

Official Tensorflow implementation of "M-LSD: Towards Light-weight and Real-time Line Segment Detection" (AAAI 2022 Oral)

GitHub

543 stars
17 watching
82 forks
Language: Python
last commit: about 3 years ago

Related projects:

RepositoryDescriptionStars
mlpc-ucsd/letrAn algorithm for line segment detection using Transformers without edges211
siyuada7/tp-lsdAn implementation of a line segment detection algorithm in computer vision143
cvg/deeplsdA software framework for detecting and refining line segments in images using deep learning techniques497
delay-xili/f-clipProvides an implementation of a neural network for detecting lines in images and videos156
svip-lab/ppgnetThis project presents a PyTorch implementation of a deep learning algorithm for detecting line segments in images.172
cherubicxn/afm_cvpr2019An implementation of line segment detection using convolutional neural networks and a coupled region coloring problem297
cvg/sold2A deep learning framework for detecting and describing lines in images, particularly robust to occlusion549
damo-nlp-sg/vcdAn approach to reduce object hallucinations in large vision-language models by contrasting output distributions derived from original and distorted visual inputs222
activevisionlab/lalalocThis project develops software for detecting and understanding 3D layouts in dynamic environments.23
jingzhang617/cod-rank-localize-and-segmentDevelops a system to detect, segment, and rank camouflaged objects in images.74
yanconglin/deep-hough-transform-line-priorsThis implementation introduces line priors into a deep learning-based line detection system to improve efficiency and accuracy.163
shi-labs/gfr-dsodImproving Object Detection from Scratch via Gated Feature Reuse65
msracver/flow-guided-feature-aggregationAn implementation of an end-to-end learning framework for video object detection using feature aggregation along motion paths724
szq0214/dsodA deep learning-based object detection system from scratch706
bcdnlp/faithscoreEvaluates answers generated by large vision-language models to assess hallucinations27