ID: 5da5dccc38f2ba0c90c7bab4
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IC NET FOR IMAGE SEGMENTATION
WHAT IS IT?
Image cascade network (ICNet) incorporates multi-resolution branches under proper label guidance to address the challenge of real-time segmentation task. The model yields realtime inference on a single GPU card with decent quality results evaluated on challenging Cityscapes dataset. The model generates segmentation mask for every pixel in the image. It's based on the ResNet50 with totally three branches as auxiliary paths.
HOW TO USE?
To run The Inference Script run this command
python run.py input_image_path
SAMPLE COMMAND
python run.py data/input/my_own_image.jpg
ARGUMENTS | DETAILS | HELP OPTIONS |
---|---|---|
-input_image_path | INPUT IMAGE | Mention the input image path |
WHAT ARE THE REQUIREMENTS?
To get all the requirements and dependencies installed run the command
For GPU - pip install -r gpu_requirements.txt
For CPU - pip install -r cpu_requirements.txt
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A philosophy student cleverly disguised as a Coax Deep Learning engineer spending whole day, practically every day, experimenting with TensorFlow,Pytorch, and Caffe; dabbling with Python and C++; and drinking a wide variety of Coffee everyday.
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