picpac | An image database for deep learning | Machine Learning library
kandi X-RAY | picpac Summary
kandi X-RAY | picpac Summary
picpac is a HTML library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. picpac has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
PicPac is an image database for deep learning. It is developed so that the user of different deep learning frameworks can all use the same image database format. Features: - Store raw images in one-file database, decoding & augmentation on-the-fly. - Support most image formats. - Python and C++ API. - Multi-threading in background. - Support most common tasks (classification, regression, segmentation and instance segmentation). - Flexible streaming options (shuffle, stratified sampling). - Flexible augmentation framework. - Compatible with all major frameworks (Tensorflow, Keras, PyTorch, Caffe). - In memory caching for small datasets. - True random shuffle with extremely large dataset (need SSD storage).
PicPac is an image database for deep learning. It is developed so that the user of different deep learning frameworks can all use the same image database format. Features: - Store raw images in one-file database, decoding & augmentation on-the-fly. - Support most image formats. - Python and C++ API. - Multi-threading in background. - Support most common tasks (classification, regression, segmentation and instance segmentation). - Flexible streaming options (shuffle, stratified sampling). - Flexible augmentation framework. - Compatible with all major frameworks (Tensorflow, Keras, PyTorch, Caffe). - In memory caching for small datasets. - True random shuffle with extremely large dataset (need SSD storage).
Support
Quality
Security
License
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Support
picpac has a low active ecosystem.
It has 45 star(s) with 19 fork(s). There are 8 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 3 have been closed. On average issues are closed in 374 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of picpac is current.
Quality
picpac has no bugs reported.
Security
picpac has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
picpac is licensed under the BSD-2-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
picpac releases are not available. You will need to build from source code and install.
Installation instructions, examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of picpac
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of picpac
picpac Key Features
No Key Features are available at this moment for picpac.
picpac Examples and Code Snippets
No Code Snippets are available at this moment for picpac.
Community Discussions
Trending Discussions on picpac
QUESTION
Swift Get UIImage from layers of UIView
Asked 2017-Aug-16 at 23:41
I have CAShapeLayers in my UIView and I want UIImage from the view.
So I am trying thru below function but getting an error at
UIGraphicsGetCurrentContext()
ANSWER
Answered 2017-Aug-16 at 23:41If the size passed to UIGraphicsBeginImageContext(_)
is zero in either or both dimension(s) then UIGraphicsGetCurrentContext()
returns nil
and so will UIGraphicsGetImageFromCurrentImageContext()
.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install picpac
This is the recommended installation method if you are using ubuntu 16.04 and python3.5. Download the .so file from [here](http://www.aaalgo.com/picpac/binary/picpac.cpython-35m-x86_64-linux-gnu.so) and drop in your current directory. You should be able to import picpac in python3.
The basic library depends on OpenCV and Boost. The dependency on [Json11](https://github.com/dropbox/json11) is provided as git submodule, which can be pulled in by. PicPac Explorer for visualizing annotation results is built with separate rules and has many more dependencies. Use the link about to download a portable pre-built version.
The basic library depends on OpenCV and Boost. The dependency on [Json11](https://github.com/dropbox/json11) is provided as git submodule, which can be pulled in by. PicPac Explorer for visualizing annotation results is built with separate rules and has many more dependencies. Use the link about to download a portable pre-built version.
Support
This API is obsolete and now in picpac_legacy namespace. The database format is the same. We are working on new documentation.
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