lanenet-lane-detection VS PixelLib

Compare lanenet-lane-detection vs PixelLib and see what are their differences.

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lanenet-lane-detection PixelLib
1 3
2,262 1,014
- -
3.5 0.0
5 months ago 7 months ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

lanenet-lane-detection

Posts with mentions or reviews of lanenet-lane-detection. We have used some of these posts to build our list of alternatives and similar projects.
  • Did anybody try LaneNet ?
    1 project | /r/deeplearning | 10 Feb 2023
    I am trying the LaneNet model using MaybeShewill-CV/lanenet-lane-detection Repo, I have a dataset of 20k images, but the model loss results calculated as nan

PixelLib

Posts with mentions or reviews of PixelLib. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-29.

What are some alternatives?

When comparing lanenet-lane-detection and PixelLib you can also consider the following projects:

Ultra-Fast-Lane-Detection - Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

self-driving-car - Udacity Self-Driving Car Engineer Nanodegree projects.

sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

Ultrafast-Lane-Detection-Inference-Pytorch- - Example scripts for the detection of lanes using the ultra fast lane detection model in Pytorch.

FasterRCNN - Clean and readable implementations of Faster R-CNN in PyTorch and TensorFlow 2 with Keras.

deepcell-tf - Deep Learning Library for Single Cell Analysis

rembg-greenscreen - Rembg Video Virtual Green Screen Edition

mask-rcnn - Mask-RCNN training and prediction in MATLAB for Instance Segmentation

fashion-segmentation - A tensorflow model for segmentation of fashion items out of multiple product images

PaddleSeg - Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

YOLOv6 - YOLOv6: a single-stage object detection framework dedicated to industrial applications.