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import os |
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from yolox.exp import Exp as MyExp |
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class Exp(MyExp): |
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def __init__(self): |
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super(Exp, self).__init__() |
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self.exp_name = os.path.split(os.path.realpath(__file__))[1].split(".")[0] |
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self.num_classes = 7 |
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self.class_names=["Angular Leafspot", "Leaf Spot", "Anthracnose Fruit Rot", "Blossom Blight", "Gray Mold", "Powdery Mildew Fruit", "Powdery Mildew Leaf"] |
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self.depth = 0.33 |
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self.width = 0.375 |
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self.input_size = (416, 416) |
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self.mosaic_scale = (0.5, 1.5) |
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self.random_size = (10, 20) |
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self.test_size = (416, 416) |
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self.enable_mixup = False |
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self.data_dir = "coco_dataset" |
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self.train_ann = "instances_train.json" |
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self.val_ann = "instances_val.json" |
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self.test_ann = "instances_test.json" |