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New Model attachement cells First Step

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Daniel Saavedra
2020-06-02 23:58:04 -04:00
parent 442518e0d0
commit 8b0f8a44a2
3 changed files with 100 additions and 0 deletions
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2
README.md
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@@ -191,6 +191,8 @@ All of weights of this trained model grab from [Drive_Weights](https://drive.goo
| 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_lack](...) | [config](config_full_yolo_fault_2_infer.json) |
## Panel Detector ## Panel Detector
### SDD7 ### SDD7
On folder [Result ssd7 panel](Result_ssd7_panel/) show code (jupyter notebook), weight and result of this model (mAP 89.8%). On folder [Result ssd7 panel](Result_ssd7_panel/) show code (jupyter notebook), weight and result of this model (mAP 89.8%).

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config_full_yolo_fault_2_infer.json Executable file
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@@ -0,0 +1,49 @@
{
"model" : {
"min_input_size": 400,
"max_input_size": 400,
"anchors": [5,7, 10,14, 15, 15, 26,32, 45,119, 54,18, 94,59, 109,183, 200,21],
"labels": ["1"],
"backend": "keras-yolo3-master/full_yolo_backend.h5"
},
"train": {
"train_image_folder": "Train&Test_H/Train/images/",
"train_annot_folder": "Train&Test_H/Train/anns/",
"cache_name": "Result_yolo3_fault_2/experimento_fault_2_gpu.pkl",
"train_times": 1,
"batch_size": 2,
"learning_rate": 1e-4,
"nb_epochs": 200,
"warmup_epochs": 15,
"ignore_thresh": 0.5,
"gpus": "0,1",
"grid_scales": [1,1,1],
"obj_scale": 5,
"noobj_scale": 1,
"xywh_scale": 1,
"class_scale": 1,
"tensorboard_dir": "log_experimento_fault_gpu_2",
"saved_weights_name": "Result_yolo3_fault_2/yolo3_full_fault_2.h5",
"debug": true
},
"valid": {
"valid_image_folder": "Train&Test_H/Test/images/",
"valid_annot_folder": "Train&Test_H/Test/anns/",
"cache_name": "Result_yolo3_fault_2/val_fault_2.pkl",
"valid_times": 1
},
"test": {
"test_image_folder": "Train&Test_H/Test/images/",
"test_annot_folder": "Train&Test_H/Test/anns/",
"cache_name": "Result_yolo3_fault_2/test_fault_2.pkl",
"test_times": 1
}
}

49
config_full_yolo_fault_2_train.json Executable file
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@@ -0,0 +1,49 @@
{
"model" : {
"min_input_size": 400,
"max_input_size": 400,
"anchors": [5,7, 10,14, 15, 15, 26,32, 45,119, 54,18, 94,59, 109,183, 200,21],
"labels": ["1"],
"backend": "keras-yolo3-master/full_yolo_backend.h5"
},
"train": {
"train_image_folder": "Train&Test_H/Train/images/",
"train_annot_folder": "Train&Test_H/Train/anns/",
"cache_name": "Result_yolo3_fault_2/experimento_fault_2_gpu.pkl",
"train_times": 1,
"batch_size": 2,
"learning_rate": 1e-4,
"nb_epochs": 200,
"warmup_epochs": 15,
"ignore_thresh": 0.5,
"gpus": "0,1",
"grid_scales": [1,1,1],
"obj_scale": 5,
"noobj_scale": 1,
"xywh_scale": 1,
"class_scale": 1,
"tensorboard_dir": "log_experimento_fault_gpu_2",
"saved_weights_name": "Result_yolo3_fault_2/yolo3_full_fault_2.h5",
"debug": true
},
"valid": {
"valid_image_folder": "Train&Test_H/Test/images/",
"valid_annot_folder": "Train&Test_H/Test/anns/",
"cache_name": "Result_yolo3_fault_2/val_fault_2.pkl",
"valid_times": 1
},
"test": {
"test_image_folder": "Train&Test_H/Test/images/",
"test_annot_folder": "Train&Test_H/Test/anns/",
"cache_name": "Result_yolo3_fault_2/test_fault_2.pkl",
"test_times": 1
}
}