GitPlanet

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details
All Projects → Fangyh09 → Image2LMDB

Fangyh09 / Image2LMDB

Licence: other
Convert image folder to lmdb, adapted from Efficient-PyTorch

Programming Languages

python
139335 projects - #7 most used programming language

Labels

caffelmdbpytorchcaffe2

Projects that are alternatives of or similar to Image2LMDB

Deep Learning Model Convertor
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
Stars: ✭ 3,044 (+5148.28%)
Mutual labels:  caffe, caffe2
Caffe2 Ios
Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.
Stars: ✭ 221 (+281.03%)
Mutual labels:  caffe, caffe2
DLInfBench
CNN model inference benchmarks for some popular deep learning frameworks
Stars: ✭ 51 (-12.07%)
Mutual labels:  caffe, caffe2
Test Tube
Python library to easily log experiments and parallelize hyperparameter search for neural networks
Stars: ✭ 663 (+1043.1%)
Mutual labels:  caffe, caffe2
Deepo
Setup and customize deep learning environment in seconds.
Stars: ✭ 6,145 (+10494.83%)
Mutual labels:  caffe, caffe2
Dlcookbook Dlbs
Deep Learning Benchmarking Suite
Stars: ✭ 114 (+96.55%)
Mutual labels:  caffe, caffe2
Nideep
collection of utilities to use with deep learning libraries (e.g. caffe)
Stars: ✭ 25 (-56.9%)
Mutual labels:  caffe, lmdb
Netron
Visualizer for neural network, deep learning, and machine learning models
Stars: ✭ 17,193 (+29543.1%)
Mutual labels:  caffe, caffe2
Colorization
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
Stars: ✭ 2,791 (+4712.07%)
Mutual labels:  caffe
hermes
A library and microservice implementing the health and care terminology SNOMED CT with support for cross-maps, inference, fast full-text search, autocompletion, compositional grammar and the expression constraint language.
Stars: ✭ 131 (+125.86%)
Mutual labels:  lmdb
Dgd person reid
Domain Guided Dropout for Person Re-identification
Stars: ✭ 229 (+294.83%)
Mutual labels:  caffe
Retinaface
Reimplement RetinaFace use C++ and TensorRT
Stars: ✭ 241 (+315.52%)
Mutual labels:  caffe
List-CoreML-Models
A Big Awesome List CoreML Models.
Stars: ✭ 120 (+106.9%)
Mutual labels:  caffe
Skimcaffe
Caffe for Sparse Convolutional Neural Network
Stars: ✭ 230 (+296.55%)
Mutual labels:  caffe
caffe weight converter
Caffe-to-Keras weight converter. Can also export weights as Numpy arrays for further processing.
Stars: ✭ 68 (+17.24%)
Mutual labels:  caffe
Ide Baseline Market 1501
ID-discriminative Embedding (IDE) for Person Re-identification
Stars: ✭ 220 (+279.31%)
Mutual labels:  caffe
Spreads.LMDB
Low-level zero-overhead and the fastest LMDB .NET wrapper with some additional native methods useful for Spreads
Stars: ✭ 59 (+1.72%)
Mutual labels:  lmdb
mbus
基于RabbitMQ简单实现验证码识别平台，训练网络模型智能识别图形验证码
Stars: ✭ 37 (-36.21%)
Mutual labels:  caffe
Change Detection Review
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
Stars: ✭ 248 (+327.59%)
Mutual labels:  caffe
Cnn face detection
Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR
Stars: ✭ 251 (+332.76%)
Mutual labels:  caffe
View All Similar Projects ➔

Image2LMDB

Convert image folder to lmdb, adapted from https://github.com/Lyken17/Efficient-PyTorch

.
├── folder2lmdb.py
├── img
│   ├── train
│   │   ├── bar_dir
│   │   │   ├── 100000.jpg
│   │   │   ├── 100001.jpg
│   │   │   ├── 100002.jpg
│   │   │   ├── 100003.jpg
│   │   │   ├── 100004.jpg
│   │   │   ├── 100005.jpg
│   │   │   ├── 100006.jpg
│   │   │   ├── 100007.jpg
│   │   │   ├── 100008.jpg
│   │   │   └── 100009.jpg
│   │   └── foo_dir
│   │       ├── 100000.jpg
│   │       ├── 100001.jpg
│   │       ├── 100002.jpg
│   │       ├── 100003.jpg
│   │       ├── 100004.jpg
│   │       ├── 100005.jpg
│   │       ├── 100006.jpg
│   │       ├── 100007.jpg
│   │       ├── 100008.jpg
│   │       └── 100009.jpg
│   
│   
├── main.py
├── README.md
└── requirements.txt

Convert image folder to lmdb

python folder2lmdb.py img

Test it

python main.py img/train.lmdb
key 0
key 1
torch.Size([2, 224, 224, 3])
key 2
key 3
torch.Size([2, 224, 224, 3])
key 4
key 5
torch.Size([2, 224, 224, 3])
key 6
key 7
torch.Size([2, 224, 224, 3])
key 8
key 9
torch.Size([2, 224, 224, 3])
key 10
key 11
torch.Size([2, 224, 224, 3])
key 12
key 13
torch.Size([2, 224, 224, 3])
key 14
key 15
torch.Size([2, 224, 224, 3])
key 16
key 17
torch.Size([2, 224, 224, 3])
key 18
key 19
torch.Size([2, 224, 224, 3])

Original Repo:

https://github.com/Lyken17/Efficient-PyTorch

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].