Ios integrated deeplab model Implementation of the Semantic Segmentation
Core ML Image Segmentation on ios
Core ML model file are converted from deeplab MobileNetv2
let sourceImg = UIImage.init(named: "test.jpg")!
let segmentImg = sourceImg.segmentation()
Is it possible to have it working with DeepLabV3 model?
I would like to convert from deeplabv3 plus onnx model to mlmodel to make it run on ios device.
can you plesae share the converting script from the DLV3 plus pretrained model (ex onnx) ?
currently .. output result is something wrong.
please help me . i cant convert mask image to black and alpha image . how can i do this ?
mask image get black and white . i cant replace white to alpha . there is any way to do this ?
there is one issue also "CGImageCreate: invalid image alphaInfo: kCGImageAlphaNone. It should be kCGImageAlphaNoneSkipLast" where need to change this ?
Hey, thanks for the nice demo. I was looking into the mlmodel and saw that the results are 65x65 images of 21 classes. Is it possible to increase the crop_size when building the mlmodel and increase the output size? Also, can you give me some pointers on how you built the mlmodel from the deeplab repo?
Thanks!
Hi, on the click of Gray button, i want to change background from gray to transparent/white. Can you please help me?
@cainxx
thanks for the project it works fine for me, but if you don't mind I want to ask you about deeplab real-time segmentation on ios, can you help me
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