javier/Photovoltaic_Fault_Detector
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Update README.md

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Daniel Saavedra
2020-06-15 18:50:52 -04:00
committed by GitHub
parent 375f66999f
commit 79b296071a
1 changed files with 2 additions and 2 deletions
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@@ -190,7 +190,7 @@ All of weights of this trained model grab from [Drive_Weights](https://drive.goo
| YOLO3 Panel | [weight](https://drive.google.com/open?id=14zgtgDJv3KTvhRC-VOz6sqsGPC_bdrL1) | [config](config_full_yolo_panel_infer.json) | | YOLO3 Panel | [weight](https://drive.google.com/open?id=14zgtgDJv3KTvhRC-VOz6sqsGPC_bdrL1) | [config](config_full_yolo_panel_infer.json) |
| YOLO3 Soiling | [weight](https://drive.google.com/open?id=1YLgkn1wL5xAGOpwd2gzdfsJVGYPzszn-) | [config](config_full_yolo_fault_1_infer.json) | | YOLO3 Soiling | [weight](https://drive.google.com/open?id=1YLgkn1wL5xAGOpwd2gzdfsJVGYPzszn-) | [config](config_full_yolo_fault_1_infer.json) |
| YOLO3 Diode | [weight](https://drive.google.com/open?id=1VUtrK9JVTbzBw5dX7_dgLTMToFHbAJl1) | [config](config_full_yolo_fault_4_infer.json) | | YOLO3 Diode | [weight](https://drive.google.com/open?id=1VUtrK9JVTbzBw5dX7_dgLTMToFHbAJl1) | [config](config_full_yolo_fault_4_infer.json) |
| YOLO3 Affected Cell | [weight(https://drive.google.com/open?id=1ngyCzw7xF0N5oZnF29EIS5LOl1PFkRRM) | [config](config_full_yolo_fault_2_infer.json) | | YOLO3 Affected Cell | [weight](https://drive.google.com/open?id=1ngyCzw7xF0N5oZnF29EIS5LOl1PFkRRM) | [config](config_full_yolo_fault_2_infer.json) |
## Panel Detector ## Panel Detector
### SDD7 ### SDD7
@@ -220,7 +220,7 @@ On folder [Result yolo3 fault 1](Result_yolo3_fault_1/) show [history train](Res
![](Result_yolo3_fault_1/result_yolo3_fault_1/Mision_11_DJI_0011.jpg) ![](Result_yolo3_fault_1/result_yolo3_fault_1/Mision_11_DJI_0011.jpg)
## Diode Affected Cell Detector ## Affected Cell Detector
### YOLO3 ### YOLO3
On folder [Result yolo3 fault 2](Result_yolo3_fault_2/) show [history train](Result_yolo3_fault_2/yolo3_full_yolo.output), weight and result of this model (mAP 71.93%). On folder [Result yolo3 fault 2](Result_yolo3_fault_2/) show [history train](Result_yolo3_fault_2/yolo3_full_yolo.output), weight and result of this model (mAP 71.93%).