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Faster RCNN

Keras implementation of Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. originally from https://github.com/yhenon/keras-frcnn/

Detection Output

  • Annotations and Image data can be found in the data directory.

  • Code file : Faster_RCNN.ipynb

  • Install pre-requisites

$ pip install -r requirements.txt

  • Scripts for creating annotations are included in the code.

  • Results get stored in the results_imgs folder created in the main directory itself. Results of the implemented models can be found here

  • mAP implementation is present in main.py file, originally by Cartucho

  • mAP calculation makes use of ground-truth and detection-results from the input directory. Detection Results are automatically added by test_frcnn.py.