config.py

from easydict import EasyDict
from os.path import join

cfg = EasyDict()

cfg.data_dir = "/home/killf/dataset/coco2"
cfg.train_images = join(cfg.data_dir, "train2017")
cfg.train_info = join(cfg.data_dir, "annotations", "instances_train2017.json")

cfg.model_file = "out/yolact"

cfg.epochs = 10
cfg.batch_size = 4
cfg.image_size = 550
cfg.weight_decay = 0.0005

cfg.max_size = 550
cfg.mask_size = 16
cfg.preserve_aspect_ratio = False
cfg.discard_box_width = 4 / 550
cfg.discard_box_height = 4 / 550
cfg.use_gt_bboxes = False

cfg.backbone = EasyDict()
cfg.backbone.transform = EasyDict()
cfg.backbone.transform.normalize = True
cfg.backbone.transform.subtract_means = False
cfg.backbone.transform.to_float = False

cfg.augment_photometric_distort = True
cfg.augment_expand = True
cfg.augment_random_sample_crop = True
cfg.augment_random_mirror = True
cfg.augment_random_flip = True

# for making bounding boxes pretty
COLORS = ((244, 67, 54),
          (233, 30, 99),
          (156, 39, 176),
          (103, 58, 183),
          (63, 81, 181),
          (33, 150, 243),
          (3, 169, 244),
          (0, 188, 212),
          (0, 150, 136),
          (76, 175, 80),
          (139, 195, 74),
          (205, 220, 57),
          (255, 235, 59),
          (255, 193, 7),
          (255, 152, 0),
          (255, 87, 34),
          (121, 85, 72),
          (158, 158, 158),
          (96, 125, 139))

# These are in BGR and are for ImageNet
MEANS = (103.94, 116.78, 123.68)
STD = (57.38, 57.12, 58.40)

COCO_CLASSES = ('person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus',
                'train', 'truck', 'boat', 'traffic light', 'fire hydrant',
                'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog',
                'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe',
                'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee',
                'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat',
                'baseball glove', 'skateboard', 'surfboard', 'tennis racket',
                'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl',
                'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot',
                'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch',
                'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop',
                'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven',
                'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase',
                'scissors', 'teddy bear', 'hair drier', 'toothbrush')

COCO_LABEL_MAP = {1: 1, 2: 2, 3: 3, 4: 4, 5: 5, 6: 6, 7: 7, 8: 8,
                  9: 9, 10: 10, 11: 11, 13: 12, 14: 13, 15: 14, 16: 15, 17: 16,
                  18: 17, 19: 18, 20: 19, 21: 20, 22: 21, 23: 22, 24: 23, 25: 24,
                  27: 25, 28: 26, 31: 27, 32: 28, 33: 29, 34: 30, 35: 31, 36: 32,
                  37: 33, 38: 34, 39: 35, 40: 36, 41: 37, 42: 38, 43: 39, 44: 40,
                  46: 41, 47: 42, 48: 43, 49: 44, 50: 45, 51: 46, 52: 47, 53: 48,
                  54: 49, 55: 50, 56: 51, 57: 52, 58: 53, 59: 54, 60: 55, 61: 56,
                  62: 57, 63: 58, 64: 59, 65: 60, 67: 61, 70: 62, 72: 63, 73: 64,
                  74: 65, 75: 66, 76: 67, 77: 68, 78: 69, 79: 70, 80: 71, 81: 72,
                  82: 73, 84: 74, 85: 75, 86: 76, 87: 77, 88: 78, 89: 79, 90: 80}

cfg.num_class = len(COCO_LABEL_MAP) + 1