“How can I draw a more detailed outline around an object?” This is probably one of the most frequently asked questions I get after someone reads my on how to do object detection using TensorFlow. There is good news, I finally have the answer. previous article Facebook AI Research (FAIR) just open sourced their platform. This means that the software that FAIR uses for object detection research is now available to all of us developers. One of the many things that this new platform can do is object masking. Object masking takes objected detection a step further and instead of just drawing a bounding box around the image, it can actually draw a complex polygon. Detectron Detectron makes it incredibly simple to get object masking running out of the box. Here’s how: Install Caffe2 The first step is to install : Caffe2 git clone --recursive https://github.com/caffe2/caffe2.git && cd caffe2make && cd build && sudo make installpython -c 'from caffe2.python import core' 2>/dev/null && echo "Success" || echo "Failure" Currently, you have an NVIDIA GPU with CUDA in order to use Detectron. Note: MUST Install the COCO API git clone https://github.com/cocodataset/cocoapi.gitcd cocoapi/PythonAPImake install Clone the Repo After we successfully install Caffe2 all we need to do is clone the : Detectron repo git clone && cd Detectron https://github.com/facebookresearch/Detectron.git Install the requirements: pip install \numpy \pyyaml \matplotlib \opencv-python>=3.0 \setuptools \Cython \mock \scipy And build the python modules: cd lib && make && cd .. Making Inferences Now all we have to do is run the following command to run object masking on the demo images: python tools/infer_simple.py \--cfg configs/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml \--output-dir demo/output \--image-ext jpg \--wts \https://s3-us-west-2.amazonaws.com/detectron/35861858/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml.02_32_51.SgT4y1cO/output/train/coco_2014_train:coco_2014_valminusminival/generalized_rcnn/model_final.pkl \demo You’ll be able to find the output as PDFs in the directory. Detectron/demo/output Here are some of my own test examples, most of them worked pretty well. But as always, , because are they real? the Kardashians continue to stump AI If you want to test your own images just add JPG files to the directory. For best results keep the images around 600–800px. Note: Detectron/demo Final Thoughts This model does a great job at masking very general objects, however a lot of us need something more specific to our use case. For that, keep a look out for my next tutorial on how to build your own custom object masking model! Thanks for reading! If you have any questions, feel free to reach out at bourdakos1@gmail.com, connect with me on , or follow me on and . LinkedIn Medium Twitter If you found this article helpful, it would mean a lot if you gave it some applause👏 and shared to help others find it! And feel free to leave a comment below.

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How to use Detectron — Facebook’s Free Platform for Object Detection

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