ID: 5da5dccc38f2ba0c90c7bab4

Image Segmentation (IC Net)

by SHIVAM GARG

Image Segmentation using IC Net


License: Other

Tags: Tensorflow Computer Vision ICnet Image Segmentation

 Model stats and performance
Dataset Used View
Framework Tensorflow
OS Used Linux
Publication View
Inference time in seconds per sample.

Screenshots


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

Author View Profile

SHIVAM GARG
New Delhi, India
Pro
41
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25204 Profile
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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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