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Daniel Saavedra
2020-07-13 23:47:55 -04:00
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@@ -45,7 +45,9 @@ pip install notebook
## Example to use trained model
In ['Example_Prediction'](Example_prediction.ipynb) this is the example of how to implement an already trained model, it can be modified to change the model you have to use and the image in which you want to detect faults.
In ['Example_Prediction_AllInOne'](Example Detection AllInOne.ipynb) this is the example of how implement all trained model, you can use this code for predict a folder of images and have a output image with detection boxes.
In ['Example Prediction AllInOne'](Example%20Detection%20AllInOne.ipynb) this is the example of how implement all trained model, you can use this code for predict a folder of images and have a output image with detection boxes.
In ['Example_Prediction_Orthophoto'](Example_prediction_Ortofoto.ipynb) this is the example of how implement all trained model, you can use this code for predict a Orthophot and have a output image with detection boxes.
@@ -229,6 +231,7 @@ All of weights of this trained model grab from [Drive_Weights](https://drive.goo
The image used are specified in [Table images](Training_Images.xlsx).
You can see some examples in [Summary of results] (README_Result.md).
# Contributing
Contributions are welcome and will be fully credited. We accept contributions via Pull Requests on GitHub.