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first step

run: download.sh download annotations and images

second step

you can read keras_frcnn/config.py and revise some parameters wanted

thrid step

run: python3.6 train_frcnn.py

final step

if you want directly to run the model, you should firstly download the model weights from google cloud, and then choose you own images to put in the directory of images, at last python3.6 test.py.

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faster r-cnn trained on mscoco dataset

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