saptarshineilsinha's picture
Application
c9ca5b4
import os
from yolox.exp import Exp as MyExp # type: ignore
#from yolox.data import COCODataset # type: ignore
class Exp(MyExp):
def __init__(self):
super(Exp, self).__init__()
self.exp_name = os.path.split(os.path.realpath(__file__))[1].split(".")[0]
self.num_classes = 7
self.class_names=["Angular Leafspot", "Leaf Spot", "Anthracnose Fruit Rot", "Blossom Blight", "Gray Mold", "Powdery Mildew Fruit", "Powdery Mildew Leaf"]
# small
# self.depth = 0.33
# self.width = 0.50
# tiny
self.depth = 0.33
self.width = 0.375
self.input_size = (416, 416)
self.mosaic_scale = (0.5, 1.5)
self.random_size = (10, 20)
self.test_size = (416, 416)
self.enable_mixup = False
self.data_dir = "coco_dataset"
self.train_ann = "instances_train.json"
self.val_ann = "instances_val.json"
self.test_ann = "instances_test.json"