Symisc Systems
7990490c3e
Travis build setup & Makefile template
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SOD does not generally require a Makefile to build. Just drop sod.c and its accompanying header files on your source tree and you are done.
7 years ago
Symisc Systems
66f91e33c9
Badges!
7 years ago
Symisc Systems
62bfa87d17
Main entry point for your host apps
7 years ago
Symisc Systems
3fb5b14431
Accompanying header files for reading images (Mem & Disk)
7 years ago
Symisc Systems
355b2e4bb4
SOD Programming resources
7 years ago
Symisc Systems
b872dd5d38
Frontal License Plate detection without deep-learning
7 years ago
Symisc Systems
fe105fa2c2
Train your Realnets models on the CPU!
7 years ago
Symisc Systems
1f1cb96881
Apply Sobel operator on an input image.
7 years ago
Symisc Systems
5262875b86
RNN text generation via pre-trained model
7 years ago
Symisc Systems
12a2aa2e58
RNN text generation using predefined model
7 years ago
Symisc Systems
de8f7b9085
Template (skeleton) for training RealNets models
7 years ago
Symisc Systems
c68295648f
Perform hough line detection (Generally named Hough Transform) on an input image
7 years ago
Symisc Systems
facdb9a988
Real-Time multi-scale face detection using CNN
7 years ago
Symisc Systems
311842404c
Perform Hilditch thinning on an input image.
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* Skeletonization is useful when we are interested not in the size of the pattern but rather
* in the relative position of the strokes in the pattern (Character Recognition,
* X, Y Chromosome Recognition, etc.).
* The target image must be binary (i.e. images whose pixels have only two possible intensity
* value mostly black or white). You can obtain a binary image via sod_canny_edge_image(),
* sod_otsu_binarize_image(), sod_binarize_image() or sod_threshold_image().
7 years ago
Symisc Systems
4a9e9ba3e5
Perform grayscale colorspace conversion
7 years ago
Symisc Systems
21fb53743a
Extract a region (crop) from a given image
7 years ago
Symisc Systems
a6f33013bf
CNN multi-class object detection (Pascal VOC)
7 years ago
Symisc Systems
493f2c0cda
CNN mult-class object detection
7 years ago
Symisc Systems
0a15df1b36
CNN mult-class object detection (COCO)
7 years ago
Symisc Systems
426cda39ec
Perform Canny edge detection on an input image
7 years ago
Symisc Systems
75ba420007
Blob detection via connected component labeling
7 years ago
Symisc Systems
3fadb5e256
Anchors!
7 years ago
Symisc Systems
1ef5604ac5
Added anchors
7 years ago
Symisc Systems
a6e33e70cb
anchors
7 years ago
Symisc Systems
7a11eaf681
Perform dilation on an input binary image.
7 years ago
Symisc Systems
07a73913b6
Erode an input binary image.
7 years ago
Symisc Systems
86b58bbc98
Binarize an input image via the Otsu's method.
7 years ago
Symisc Systems
b6b2286f72
Various images to be tested against the SOD interfaces
7 years ago
Symisc Systems
4472cfd0b7
Rotate an image 180 degree.
7 years ago
Symisc Systems
c49b4b792b
Resize an image (Minify) to half its original size.
7 years ago
Symisc Systems
91232bf7fa
Load all supported image format present in a given directory
7 years ago
Symisc Systems
e66ee5340b
Dual licensed - GPLv3 or Commercial Licenses
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Symisc Systems employs a dual licensing model that offers customers a choice of either our open source license (GPLv3) or a commercial
license.
For information on licensing, redistribution of the SOD library, and for a DISCLAIMER OF ALL WARRANTIES, please visit:
https://pixlab.io/sod
or contact:
licensing@symisc.net
support@pixlab.io
7 years ago
Symisc Systems
beb052b5ac
Update README.md
7 years ago
Symisc Systems
32dd20063e
Update README.md
7 years ago
Symisc Systems
370a37adfd
Update README.md
7 years ago
Symisc Systems
4d29371220
Update README.md
7 years ago
Symisc Systems
778fd07bf5
SOD Introduction
7 years ago
Symisc Systems
5a473d5043
Update README.md
7 years ago
Symisc Systems
c6271835f1
Update README.md
7 years ago
Symisc Systems
21927e37f5
Update README.md
7 years ago
Symisc Systems
94cae0073a
Update README.md
7 years ago
Symisc Systems
4c7978a7a2
Update README.md
7 years ago
Symisc Systems
df9cb22b85
Initial commit
7 years ago