All Projects → hyh21521038 → Ssd Plate_detection

hyh21521038 / Ssd Plate_detection

SSD-based plate detection

Projects that are alternatives of or similar to Ssd Plate detection

Python autocomplete
Use Transformers and LSTMs to learn Python source code
Stars: ✭ 123 (+0%)
Mutual labels:  jupyter-notebook
Python Artificial Intelligence Projects For Beginners
Python Artificial Intelligence Projects for Beginners, published by Packt
Stars: ✭ 123 (+0%)
Mutual labels:  jupyter-notebook
Part reid
Code for ICCV2017 paper: Deeply-Learned Part-Aligned Representations for Person Re-Identification
Stars: ✭ 123 (+0%)
Mutual labels:  jupyter-notebook
Blurr
A library that integrates huggingface transformers with version 2 of the fastai framework
Stars: ✭ 123 (+0%)
Mutual labels:  jupyter-notebook
Neural Processes
Pytorch implementation of Neural Processes for functions and images 🎆
Stars: ✭ 123 (+0%)
Mutual labels:  jupyter-notebook
Conversationai Models
A repository to house model building experiments and tools that are part of the Conversation AI effort.
Stars: ✭ 123 (+0%)
Mutual labels:  jupyter-notebook
Pbpython
Code, Notebooks and Examples from Practical Business Python
Stars: ✭ 1,724 (+1301.63%)
Mutual labels:  jupyter-notebook
Carnd
Stars: ✭ 123 (+0%)
Mutual labels:  jupyter-notebook
Advanced Deep Learning And Reinforcement Learning Deepmind
🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉
Stars: ✭ 121 (-1.63%)
Mutual labels:  jupyter-notebook
Deeptime
Deep learning meets molecular dynamics.
Stars: ✭ 123 (+0%)
Mutual labels:  jupyter-notebook
Melgan Vc
MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long samples using Spectrograms
Stars: ✭ 123 (+0%)
Mutual labels:  jupyter-notebook
Datasist
A Python library for easy data analysis, visualization, exploration and modeling
Stars: ✭ 123 (+0%)
Mutual labels:  jupyter-notebook
Autoencoders
Implementation of simple autoencoders networks with Keras
Stars: ✭ 123 (+0%)
Mutual labels:  jupyter-notebook
Tf2 notes
(Unoffical)人工智能实践:Tensorflow笔记
Stars: ✭ 121 (-1.63%)
Mutual labels:  jupyter-notebook
Pytorch Sift
PyTorch implementation of SIFT descriptor
Stars: ✭ 123 (+0%)
Mutual labels:  jupyter-notebook
Metrabs
This is a computer vision algorithm that takes a single RGB image as the input and estimates 3D human poses as the output.
Stars: ✭ 123 (+0%)
Mutual labels:  jupyter-notebook
Logisticregression vectorized implementation
Stars: ✭ 123 (+0%)
Mutual labels:  jupyter-notebook
Triage
General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems
Stars: ✭ 122 (-0.81%)
Mutual labels:  jupyter-notebook
Helm Chart
A store of Helm chart tarballs for deploying JupyterHub and BinderHub on a Kubernetes cluster
Stars: ✭ 123 (+0%)
Mutual labels:  jupyter-notebook
Learn jupyter
This is a jupyter practical tutorial. Welcome to edit together!
Stars: ✭ 123 (+0%)
Mutual labels:  jupyter-notebook

ssd-plate_detection

1.this is plate detection project based on ssd(single shot detection)

2.I have released the model and some data to test,you can take the model from:http://pan.baidu.com/s/1eSdqHVk if you have any question,please contact me at: [email protected]

3.I hope you have setup a specific caffe. You should use the Caffe SSD (which is very different from the original Caffe) from the paper author here: https://github.com/weiliu89/caffe/tree/ssd. if you have not, please install this type of Caffe as: http://caffe.berkeleyvision.org/installation.html. Be sure to make the Caffe with GPU usage for running this project.

4.this project is based on jupyter notebook ,if you have not install jupyter ,you could install the python project Jupyter or convert it into .py with some tools.

5.what is more,you have to check and modify every path very carefully in ssd_plate.ipynb and deploy.prorotxt such as:name_size_file,model_def,model_weights ,etc according your environment. You may even move some files in this project to other places or use the right path for those files!

6.if you want to know the details about how to train the model.please see at:https://arxiv.org/abs/1512.02325

image

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].