# yolov8-v2 Config yolov8_cfg = { 'yolov8_n':{ # ---------------- Model config ---------------- ## Backbone 'backbone': 'yolov8', 'bk_act': 'silu', 'bk_norm': 'BN', 'bk_depthwise': False, 'width': 0.25, 'depth': 0.34, 'ratio': 2.0, 'stride': [8, 16, 32], # P3, P4, P5 'max_stride': 32, 'reg_max': 16, ## Neck: SPP 'neck': 'sppf', 'neck_expand_ratio': 0.5, 'pooling_size': 5, 'neck_act': 'silu', 'neck_norm': 'BN', 'neck_depthwise': False, ## Neck: PaFPN 'fpn': 'yolov8_pafpn', 'fpn_act': 'silu', 'fpn_norm': 'BN', 'fpn_depthwise': False, ## Head 'head': 'decoupled_head', 'head_act': 'silu', 'head_norm': 'BN', 'num_cls_head': 2, 'num_reg_head': 2, 'head_depthwise': False, # ---------------- Train config ---------------- ## Input 'multi_scale': [0.5, 1.5], # 320 -> 960 'trans_type': 'yolov5_n', # ---------------- Assignment config ---------------- ## Matcher 'matcher': "tal", 'matcher_hpy': {'topk_candidates': 10, 'alpha': 0.5, 'beta': 6.0}, # ---------------- Loss config ---------------- 'loss_cls_weight': 0.5, 'loss_box_weight': 7.5, 'loss_dfl_weight': 1.5, # ---------------- Train config ---------------- 'trainer_type': 'rtcdet', }, 'yolov8_s':{ # ---------------- Model config ---------------- ## Backbone 'backbone': 'yolov8', 'bk_act': 'silu', 'bk_norm': 'BN', 'bk_depthwise': False, 'width': 0.50, 'depth': 0.34, 'ratio': 2.0, 'stride': [8, 16, 32], # P3, P4, P5 'max_stride': 32, 'reg_max': 16, ## Neck: SPP 'neck': 'sppf', 'neck_expand_ratio': 0.5, 'pooling_size': 5, 'neck_act': 'silu', 'neck_norm': 'BN', 'neck_depthwise': False, ## Neck: PaFPN 'fpn': 'yolov8_pafpn', 'fpn_act': 'silu', 'fpn_norm': 'BN', 'fpn_depthwise': False, ## Head 'head': 'decoupled_head', 'head_act': 'silu', 'head_norm': 'BN', 'num_cls_head': 2, 'num_reg_head': 2, 'head_depthwise': False, # ---------------- Train config ---------------- ## Input 'multi_scale': [0.5, 1.5], # 320 -> 960 'trans_type': 'yolov5_s', # ---------------- Assignment config ---------------- ## Matcher 'matcher': "tal", 'matcher_hpy': {'topk_candidates': 10, 'alpha': 0.5, 'beta': 6.0}, # ---------------- Loss config ---------------- 'loss_cls_weight': 0.5, 'loss_box_weight': 7.5, 'loss_dfl_weight': 1.5, # ---------------- Train config ---------------- 'trainer_type': 'rtcdet', }, 'yolov8_m':{ # ---------------- Model config ---------------- ## Backbone 'backbone': 'yolov8', 'bk_act': 'silu', 'bk_norm': 'BN', 'bk_depthwise': False, 'width': 0.75, 'depth': 0.67, 'ratio': 1.5, 'stride': [8, 16, 32], # P3, P4, P5 'max_stride': 32, 'reg_max': 16, ## Neck: SPP 'neck': 'sppf', 'neck_expand_ratio': 0.5, 'pooling_size': 5, 'neck_act': 'silu', 'neck_norm': 'BN', 'neck_depthwise': False, ## Neck: PaFPN 'fpn': 'yolov8_pafpn', 'fpn_act': 'silu', 'fpn_norm': 'BN', 'fpn_depthwise': False, ## Head 'head': 'decoupled_head', 'head_act': 'silu', 'head_norm': 'BN', 'num_cls_head': 2, 'num_reg_head': 2, 'head_depthwise': False, # ---------------- Train config ---------------- ## Input 'multi_scale': [0.5, 1.5], # 320 -> 960 'trans_type': 'yolov5_m', # ---------------- Assignment config ---------------- ## Matcher 'matcher': "tal", 'matcher_hpy': {'topk_candidates': 10, 'alpha': 0.5, 'beta': 6.0}, # ---------------- Loss config ---------------- 'loss_cls_weight': 0.5, 'loss_box_weight': 7.5, 'loss_dfl_weight': 1.5, # ---------------- Train config ---------------- 'trainer_type': 'rtcdet', }, 'yolov8_l':{ # ---------------- Model config ---------------- ## Backbone 'backbone': 'yolov8', 'bk_act': 'silu', 'bk_norm': 'BN', 'bk_depthwise': False, 'width': 1.0, 'depth': 1.0, 'ratio': 1.0, 'stride': [8, 16, 32], # P3, P4, P5 'max_stride': 32, 'reg_max': 16, ## Neck: SPP 'neck': 'sppf', 'neck_expand_ratio': 0.5, 'pooling_size': 5, 'neck_act': 'silu', 'neck_norm': 'BN', 'neck_depthwise': False, ## Neck: PaFPN 'fpn': 'yolov8_pafpn', 'fpn_act': 'silu', 'fpn_norm': 'BN', 'fpn_depthwise': False, ## Head 'head': 'decoupled_head', 'head_act': 'silu', 'head_norm': 'BN', 'num_cls_head': 2, 'num_reg_head': 2, 'head_depthwise': False, # ---------------- Train config ---------------- ## Input 'multi_scale': [0.5, 1.5], # 320 -> 960 'trans_type': 'yolov5_l', # ---------------- Assignment config ---------------- ## Matcher 'matcher': "tal", 'matcher_hpy': {'topk_candidates': 10, 'alpha': 0.5, 'beta': 6.0}, # ---------------- Loss config ---------------- 'loss_cls_weight': 0.5, 'loss_box_weight': 7.5, 'loss_dfl_weight': 1.5, # ---------------- Train config ---------------- 'trainer_type': 'rtcdet', }, 'yolov8_x':{ # ---------------- Model config ---------------- ## Backbone 'backbone': 'yolov8', 'bk_act': 'silu', 'bk_norm': 'BN', 'bk_depthwise': False, 'width': 1.25, 'depth': 1.0, 'ratio': 1.0, 'stride': [8, 16, 32], # P3, P4, P5 'max_stride': 32, 'reg_max': 16, ## Neck: SPP 'neck': 'sppf', 'neck_expand_ratio': 0.5, 'pooling_size': 5, 'neck_act': 'silu', 'neck_norm': 'BN', 'neck_depthwise': False, ## Neck: PaFPN 'fpn': 'yolov8_pafpn', 'fpn_act': 'silu', 'fpn_norm': 'BN', 'fpn_depthwise': False, ## Head 'head': 'decoupled_head', 'head_act': 'silu', 'head_norm': 'BN', 'num_cls_head': 2, 'num_reg_head': 2, 'head_depthwise': False, # ---------------- Train config ---------------- ## Input 'multi_scale': [0.5, 1.5], # 320 -> 960 'trans_type': 'yolov5_x', # ---------------- Assignment config ---------------- ## Matcher 'matcher': "tal", 'matcher_hpy': {'topk_candidates': 10, 'alpha': 0.5, 'beta': 6.0}, # ---------------- Loss config ---------------- 'loss_cls_weight': 0.5, 'loss_box_weight': 7.5, 'loss_dfl_weight': 1.5, # ---------------- Train config ---------------- 'trainer_type': 'rtcdet', }, }