initial commit

This commit is contained in:
Dmitriy Anisimov
2014-09-13 18:28:41 +04:00
parent cff5e3ee88
commit 1007c06d44
159 changed files with 118 additions and 5119 deletions

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@@ -3,7 +3,7 @@
* findTransformECC that implements the image alignment ECC algorithm
*
*
* The demo loads an image (defaults to fruits.jpg) and it artificially creates
* The demo loads an image (defaults to ../data/fruits.jpg) and it artificially creates
* a template image based on the given motion type. When two images are given,
* the first image is the input image and the second one defines the template image.
* In the latter case, you can also parse the warp's initialization.
@@ -44,7 +44,7 @@ static void draw_warped_roi(Mat& image, const int width, const int height, Mat&
const std::string keys =
"{@inputImage | fruits.jpg | input image filename }"
"{@inputImage | ../data/fruits.jpg | input image filename }"
"{@templateImage | | template image filename (optional)}"
"{@inputWarp | | input warp (matrix) filename (optional)}"
"{n numOfIter | 50 | ECC's iterations }"
@@ -64,7 +64,7 @@ static void help(void)
" are given, the initialization of the warp by command line parsing is possible. "
"If inputWarp is missing, the identity transformation initializes the algorithm. \n" << endl;
cout << "\nUsage example (one image): \n./ecc fruits.jpg -o=outWarp.ecc "
cout << "\nUsage example (one image): \n./ecc ../data/fruits.jpg -o=outWarp.ecc "
"-m=euclidean -e=1e-6 -N=70 -v=1 \n" << endl;
cout << "\nUsage example (two images with initialization): \n./ecc yourInput.png yourTemplate.png "