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config.json
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config.json
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{
"model" : {
"architecture": "Full Yolo",
"input_size": 416,
"anchors": [0.57273, 0.677385, 1.87446, 2.06253, 3.33843, 5.47434, 7.88282, 3.52778, 9.77052, 9.16828],
"max_box_per_image": 10,
"labels": ["aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow", "diningtable", "dog", "horse", "motorbike", "person", "pottedplant", "sheep", "sofa", "train", "tvmonitor"]
},
"train": {
"train_image_folder": "/media/martin/enumcut/EnumNet/EnumCut/DataSet/VOC/VOCdevkit/VOC2012/JPEGImages/",
"train_annot_folder": "/media/martin/enumcut/EnumNet/EnumCut/DataSet/VOC/VOCdevkit/VOC2012/Annotations/",
"train_times": 10,
"pretrained_weights": "None",
"batch_size": 16,
"learning_rate": 1e-4,
"nb_epoch": 50,
"warmup_epochs": 3,
"object_scale": 5.0 ,
"no_object_scale": 1.0,
"coord_scale": 1.0,
"class_scale": 1.0,
"saved_weights_name": "yolo_voc_2007.h5",
"debug": true
},
"valid": {
"valid_image_folder": "",
"valid_annot_folder": "",
"valid_times": 1
}
}