Image Matting Python

This repository is to reproduce deep image matting.

Image matting python.

This task also known as intelligent scissor works in particular for semi transparent objects and fuzzy borders. I guess it is the reason why the model paper has to be trained stagewisely. You can get the file used in this post here. Reading them in is definitely the easy part.

Then the predict alpha mattes will locate in the folder result example pred. This is almost exactly similar as that of the image with few small changes. The composition 1k testing dataset. On computer vision and pattern recognition cvpr june 2006 new york.

Run the inference code on sample videos. Python implementation of a. Fc6 is clumpy over 100 millions parameters makes the model hard to converge. Interactive segmentation of objects in photos using alpha matting technique.

On computer vision and pattern recognition cvpr june 2006 new york marcoforte closed form matting. A closed form solution to natural image matting. Coming from the academia the annotations for the dataset was in the mat format. For images taken with fixed camera with a tripod choose m real fixed cam for best results m syn comp adobe lets you use the model trained on synthetic composite adobe dataset without real data worse performance.

Python implementation of a. Differences fc6 is dropped. Just in case you are interested deep image matting v2 is an upgraded version of this. Deep image matting paper implementation in pytorch.

A closed form solution to natural image matting. Python knn matting py mylambda λ is a constant controlling the users confidence in the constraints image size not larger than 640 480 reccomended for speed and memory reasons. Python core demo py training adobe deep image matting dataset. Download image matting for free.

Pytorch 0 4 0 or 1 0 0. Python 2 7 12 or 3 6 5. Scipy is a really popular python library used for scientific computing and quite naturally they have a method which lets you read in mat files.