| .. | ||
| images | ||
| CMakeLists.txt | ||
| facerecognizer.cpp | ||
| facerecognizer.h | ||
| incbin.h | ||
| intelligentroi.cpp | ||
| intelligentroi.h | ||
| log.cpp | ||
| log.h | ||
| main.cpp | ||
| options.h | ||
| readfile.h | ||
| README.md | ||
| seamcarving.cpp | ||
| seamcarving.h | ||
| tokenize.cpp | ||
| tokenize.h | ||
| utils.cpp | ||
| utils.h | ||
| yolo.cpp | ||
| yolo.h | ||
SmartCrop
SmartCrop is an application that uses content aware croping using, seam carving and resizeing to bring a directory of images into the deisred size and aspect ratio for training. SmartCrop ist configurable to prioritize specific items or specifc persons in the images provided.
Requirements
- cmake 3.6 or later
- opencv 4.8 or later
- A c++17 capable compiler and standard lib like gcc or llvm/clang
- git is required to get the source
Building
The steps to build this application are:
$ git clone https://uvos.xyz/git/uvos/SDImagePreprocess.git
$ cd SDImagePreprocess
$ mkdir build
$ cmake ..
$ make
The binary can then be found in build/SmartCrop and can optionaly be installed with:
$ sudo make install
Basic usage
To process all images in the directory ~/images and output the images into ~/proceesedImages:
$ smartcrop --out processedImages ~/images/*
To also focus on the person in the image ~/person.jpg
$ smartcrop --out processedImages --focus-person ~/person.jpg ~/images/*
To also enable seam carving
$ smartcrop --out processedImages --focus-person ~/person.jpg --seam-carving ~/images/*
see smartcrop --help for more
Example
Content detected in image:
Cropped image based on content:
