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Discover pretrained models for deep learning in MATLAB
Discover pre-trained models for deep learning in MATLAB. Pretrained image classification networks have already learned to extract powerful and informative features from natural images. Use them as a starting point to learn a new task using transfer learning. Inputs are RGB images, the output is the predicted label and score.
Advanced imageprocessingtoolbox for Scilab on Unix/Linux/Mac OS
SIP is the imageprocessing and computer vision package for SciLab, a free Matlab-like programming environment. SIP reads/writes images in formats like JPEG, PNG, and BMP. It does filtering, segmentation, edge detection, morphology, and shape analysis. Download from Git http://siptoolbox.sourceforge.net/devel
Animal is AN IMAging Library written in C. Its simple API supports over 80 image formats, and is intended to make massive use of other imageprocessing libraries. Animal aims at image analysis and recognition. It is mainly the C basis of the SIP toolbox.
libcrn is document imageprocessing library written in C++11 for Linux, Windows, Mac OsX and Google Android. It is a toolbox that allows to create easily software such as OCRs and layout analysis tools.
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A library analog to those included in Matlab without the need of external libraries; just right for embedded or static linking. MTL was used to build a 3d Scanner.
MTL consists of pars
B - Basic Functions, Matrices, Images, Hypermodels (3d Models and up)
N - Numeric Functions ranging from linear regression over nonlinear optimization to singular-value computation
I - Image filters and Image enhancement
H - Hardware related (optional part), does require additional libraries and is only...
The purpose of this program is to teach a computer to classify plants via their leaves. You just need to input the image of a leaf(acquired from scanner or camera), then the computer can tell you what kind of plant it is.