Merge branch 'master' of github.com:RentadroneCL/model-definition

README.md

@@ -6,8 +6,8 @@
 ## To do list:
 - [x] Import model detection (SSD & YOLO3)
 - [x] Model Panel Detection
-- [ ] Model Soiling Fault Detection
+- [x] Model Soiling Fault Detection
-- [ ] Model Diode Fault  Detection
+- [x] Model Diode Fault  Detection
 - [ ] Model Other Fault  Detection
 
 
@@ -20,7 +20,10 @@
 * OpenCV
 * Beautiful Soup 4.x
 
-## Detection
+## Model Detection
+The models used for detection are SSD [SSD: Single Shot MultiBox Detector](https://arxiv.org/abs/1512.02325) and YOLOv3 [YOLOv3: An Incremental Improvement] (https://arxiv.org/abs/1804.02767), they are imported from the following repositories:
+* [SSD_Keras](https://github.com/pierluigiferrari/ssd_keras#how-to-fine-tune-one-of-the-trained-models-on-your-own-dataset)
+* [YOLOv3_Keras](https://github.com/experiencor/keras-yolo3)
 
 Grab the pretrained weights of SSD and  YOLO3 from https://drive.google.com/drive/folders/1LSc9FkAwJrAAT8pAUWz8aax_biFAMMXS?usp=sharing
 
@@ -187,8 +190,35 @@ On folder Result_ssd300_fault_1 show code (jupyter notebook), weight and result
 
 
 ### YOLO3
-On folder Result_ssd300_fault_1 show history train (yolo3_full_yolo.output), weight and result of this model (mAP 73.02%).
+On folder Result_yolo3_fault_1 show history train (yolo3_full_yolo.output), weight and result of this model (mAP 73.02%).
+
 
 ![](Result_yolo3_fault_1/result_yolo3_fault_1/Mision_11_DJI_0011.jpg)
 
+
 ## Diode Fault Detector
+### YOLO3
+On folder Result_yolo3_fault_4 show history train (yolo3_full_yolo.output), weight and result of this model (mAP 73.02%).
+
+![](Result_yolo3_fault_4/result_yolo3_fault_4/Mision%2041_DJI_0044.jpg)
+
+
+
+# Contributing
+
+Contributions are welcome and will be fully credited. We accept contributions via Pull Requests on GitHub.
+
+## Pull Request Checklist
+
+Before sending your pull requests, make sure you followed this list.
+
+- Read [contributing guidelines](CONTRIBUTING.md).
+- Read [Code of Conduct](CODE_OF_CONDUCT.md).
+- Check if my changes are consistent with the [guidelines](https://github.com/RentadroneCL/model-definition/blob/master/CONTRIBUTING.md#general-guidelines-and-philosophy-for-contribution).
+- Changes are consistent with the [Coding Style](https://github.com/RentadroneCL/model-definition/blob/master/CONTRIBUTING.md#c-coding-style).
+- Run [Unit Tests](https://github.com/RentadroneCL/model-definition/CONTRIBUTING.md#running-unit-tests).
+
+
+# Example to use trained model
+
+In ['Example_Prediction'](ex_prediction.ipynb)