https://github.com/sirius-mhlee/object-detection-using-tensorflow-faster-rcnn

Tensorflow implementation of Faster R-CNN
https://github.com/sirius-mhlee/object-detection-using-tensorflow-faster-rcnn

deep-learning fast-rcnn object-detection paper-implementation python tensorflow

Last synced: about 2 months ago
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Tensorflow implementation of Faster R-CNN

• Host: GitHub
• URL: https://github.com/sirius-mhlee/object-detection-using-tensorflow-faster-rcnn
• Owner: sirius-mhlee
• Created: 2019-01-05T14:53:46.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2019-01-30T12:57:40.000Z (over 7 years ago)
• Last Synced: 2025-03-28T10:26:14.032Z (about 1 year ago)
• Topics: deep-learning, fast-rcnn, object-detection, paper-implementation, python, tensorflow
• Language: Python
• Homepage:
• Size: 332 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
Object Detection using Tensorflow Faster R-CNN

===========================================

Tensorflow implementation of Faster R-CNN.

http://www.rossgirshick.info/  

Using 17 Category Flower Dataset.

http://www.robots.ox.ac.uk/~vgg/data/flowers/17/

	

    Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

    Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun

    Neural Information Processing Systems (NIPS), 2015

Training Usage

-----

    python TrainingModel.py train_data_file cnn_model_file cnn_mean_file

      output_cnn_model_file output_rpn_model_file output_detection_model_file

    ex)

    python TrainingModel.py ./data/train_data.txt ./alexnetconv/alexnet_model.npy ./alexnetconv/alexnet_mean.txt

      ./alexnetconv/alexnetconv_model.npy ./rpn/rpn_model.npy ./detection/detection_model.npy

Training Result

-----

![train_result.jpg](./example/train_result.jpg)

Detection Usage

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    python DetectionImage.py cnn_mean_file cnn_model_file rpn_model_file

      detection_model_file label_file input_image_file output_image_file

    ex)

    python DetectionImage.py ./alexnetconv/alexnet_mean.txt ./alexnetconv/alexnetconv_model.npy ./rpn/rpn_model.npy

      ./detection/detection_model.npy ./alexnetconv/flower_classes.txt ./example/tulip.jpg ./example/tulip_result.jpg

Detection Result

-----