lanenet-lane-detection
Unofficial implemention of lanenet model for real time lane detection (by MaybeShewill-CV)
deepcell-tf
Deep Learning Library for Single Cell Analysis (by vanvalenlab)
lanenet-lane-detection | deepcell-tf | |
---|---|---|
1 | 2 | |
2,266 | 391 | |
- | 0.0% | |
3.5 | 5.6 | |
5 months ago | 28 days ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
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 ?
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
deepcell-tf
Posts with mentions or reviews of deepcell-tf.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-05-07.
-
Container size analysis: TensorFlow 2.8 base image vs Deep Learning
We figured we must be able to build a container from a slimmer TensorFlow base image. We knew the DeepCell team had done some work scaling DeepCell using Kubernetes on GKE. Their Dockerfile confirmed that; just use TF's image.
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First impressions: GPU + GCP Batch
Weihao and I have been working on programmatic benchmarks for DeepCell on Google Batch.
What are some alternatives?
When comparing lanenet-lane-detection and deepcell-tf you can also consider the following projects:
Ultra-Fast-Lane-Detection - Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)
labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
self-driving-car - Udacity Self-Driving Car Engineer Nanodegree projects.
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
supervision - We write your reusable computer vision tools. 💜
Ultrafast-Lane-Detection-Inference-Pytorch- - Example scripts for the detection of lanes using the ultra fast lane detection model in Pytorch.
deepcell-imaging - Notes / utilities / stuff for Deep Cell imaging project
lanenet-lane-detection vs Ultra-Fast-Lane-Detection
deepcell-tf vs labelme
lanenet-lane-detection vs self-driving-car
deepcell-tf vs PixelLib
lanenet-lane-detection vs PixelLib
deepcell-tf vs supervision
lanenet-lane-detection vs Ultrafast-Lane-Detection-Inference-Pytorch-
deepcell-tf vs deepcell-imaging