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Server for Mobile in Pothole Faster R-CNN Detection

This server using Django

You can see the requirements and install it in your virtual environment of your server.

If you are using different image size, don't forget change models folder and utils folder with your own framework folder.

Notice

  1. Don't forget to put your created .h5 format weight files (VGG16, ResNet50, and MobileNetV2) in model_tf folder
    the data tree will be like this for model_tf folder
    .
    │
    ├───...   
    │
    ├───model_tf
    │   ├──faster_rcnn_mobilenet_v2_weights.h5
    │   ├──faster_rcnn_resnet50_weights.h5
    │   ├──faster_rcnn_vgg16_weights.h5
    │   ├───models
    │   │   ├──faster_rcnn.py
    │   │   ├──rpn_mobilenet_v2.py
    │   │   ├──rpn_resnet50.py
    │   │   ├──rpn_vgg16.py
    │   │   ├──__init__.py
    │   │   └──__pycache__
    │   │      └───...
    │   │
    │   │
    │   └───utils
    │       ├──bbox_utils.py
    │       ├──data_utils.py
    │       ├──drawing_utils.py
    │       ├──eval_utils.py
    │       ├──io_utils.py
    │       ├──train_utils.py
    │       ├──__init__.py
    │       └───__pycache__
    │           └───...
    └───...
  2. Don't delete media folder, because it is the place where images are uploaded and stored.

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Server for mobile at Detection Pothole using Faster R-CNN

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