# YOLOx Config yolox_cfg = { 'yolox_n':{ # ---------------- Model config ---------------- ## Backbone 'backbone': 'cspdarknet', 'bk_pretrained': True, 'bk_act': 'silu', 'bk_norm': 'BN', 'bk_dpw': False, 'width': 0.25, 'depth': 0.34, 'stride': [8, 16, 32], # P3, P4, P5 'max_stride': 32, ## FPN 'fpn': 'yolox_pafpn', 'fpn_reduce_layer': 'conv', 'fpn_downsample_layer': 'conv', 'fpn_core_block': 'cspblock', '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': [0.7, 1.25], # 448 -> 800 'trans_type': 'yolox_n', # ---------------- Assignment config ---------------- ## matcher 'matcher': {'center_sampling_radius': 2.5, 'topk_candicate': 10}, # ---------------- Loss config ---------------- ## loss weight 'loss_obj_weight': 1.0, 'loss_cls_weight': 1.0, 'loss_box_weight': 5.0, # ---------------- Train config ---------------- 'trainer_type': 'yolox', }, 'yolox_s':{ # ---------------- Model config ---------------- ## Backbone 'backbone': 'cspdarknet', 'bk_pretrained': True, 'bk_act': 'silu', 'bk_norm': 'BN', 'bk_dpw': False, 'width': 0.50, 'depth': 0.34, 'stride': [8, 16, 32], # P3, P4, P5 'max_stride': 32, ## FPN 'fpn': 'yolox_pafpn', 'fpn_reduce_layer': 'conv', 'fpn_downsample_layer': 'conv', 'fpn_core_block': 'cspblock', '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': [0.7, 1.25], # 448 -> 800 'trans_type': 'yolox_s', # ---------------- Assignment config ---------------- ## matcher 'matcher': {'center_sampling_radius': 2.5, 'topk_candicate': 10}, # ---------------- Loss config ---------------- ## loss weight 'loss_obj_weight': 1.0, 'loss_cls_weight': 1.0, 'loss_box_weight': 5.0, # ---------------- Train config ---------------- 'trainer_type': 'yolox', }, 'yolox_m':{ # ---------------- Model config ---------------- ## Backbone 'backbone': 'cspdarknet', 'bk_pretrained': False, 'bk_act': 'silu', 'bk_norm': 'BN', 'bk_dpw': False, 'width': 0.75, 'depth': 0.67, 'stride': [8, 16, 32], # P3, P4, P5 'max_stride': 32, ## FPN 'fpn': 'yolox_pafpn', 'fpn_reduce_layer': 'conv', 'fpn_downsample_layer': 'conv', 'fpn_core_block': 'cspblock', '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': [0.7, 1.25], # 448 -> 800 'trans_type': 'yolox_m', # ---------------- Assignment config ---------------- ## matcher 'matcher': {'center_sampling_radius': 2.5, 'topk_candicate': 10}, # ---------------- Loss config ---------------- ## loss weight 'loss_obj_weight': 1.0, 'loss_cls_weight': 1.0, 'loss_box_weight': 5.0, # ---------------- Train config ---------------- 'trainer_type': 'yolox', }, 'yolox_l':{ # ---------------- Model config ---------------- ## Backbone 'backbone': 'cspdarknet', 'bk_pretrained': False, 'bk_act': 'silu', 'bk_norm': 'BN', 'bk_dpw': False, 'width': 1.0, 'depth': 1.0, 'stride': [8, 16, 32], # P3, P4, P5 'max_stride': 32, ## FPN 'fpn': 'yolox_pafpn', 'fpn_reduce_layer': 'conv', 'fpn_downsample_layer': 'conv', 'fpn_core_block': 'cspblock', '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': [0.7, 1.25], # 448 -> 800 'trans_type': 'yolox_l', # ---------------- Assignment config ---------------- ## matcher 'matcher': {'center_sampling_radius': 2.5, 'topk_candicate': 10}, # ---------------- Loss config ---------------- ## loss weight 'loss_obj_weight': 1.0, 'loss_cls_weight': 1.0, 'loss_box_weight': 5.0, # ---------------- Train config ---------------- 'trainer_type': 'yolox', }, 'yolox_x':{ # ---------------- Model config ---------------- ## Backbone 'backbone': 'cspdarknet', 'bk_pretrained': False, 'bk_act': 'silu', 'bk_norm': 'BN', 'bk_dpw': False, 'width': 1.25, 'depth': 1.34, 'stride': [8, 16, 32], # P3, P4, P5 'max_stride': 32, ## FPN 'fpn': 'yolox_pafpn', 'fpn_reduce_layer': 'conv', 'fpn_downsample_layer': 'conv', 'fpn_core_block': 'cspblock', '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': [0.7, 1.25], # 448 -> 800 'trans_type': 'yolox_x', # ---------------- Assignment config ---------------- ## matcher 'matcher': {'center_sampling_radius': 2.5, 'topk_candicate': 10}, # ---------------- Loss config ---------------- ## loss weight 'loss_obj_weight': 1.0, 'loss_cls_weight': 1.0, 'loss_box_weight': 5.0, # ---------------- Train config ---------------- 'trainer_type': 'yolox', }, } yolox_adamw_cfg = { 'yolox_n_adamw':{ # ---------------- Model config ---------------- ## Backbone 'backbone': 'cspdarknet', 'bk_pretrained': True, 'bk_act': 'silu', 'bk_norm': 'BN', 'bk_dpw': False, 'width': 0.25, 'depth': 0.34, 'stride': [8, 16, 32], # P3, P4, P5 'max_stride': 32, ## FPN 'fpn': 'yolox_pafpn', 'fpn_reduce_layer': 'conv', 'fpn_downsample_layer': 'conv', 'fpn_core_block': 'cspblock', '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, 1.25], # 320 -> 800 'trans_type': 'yolox_n', # ---------------- Assignment config ---------------- ## matcher 'matcher': {'center_sampling_radius': 2.5, 'topk_candicate': 10}, # ---------------- Loss config ---------------- ## loss weight 'loss_obj_weight': 1.0, 'loss_cls_weight': 1.0, 'loss_box_weight': 5.0, # ---------------- Train config ---------------- 'trainer_type': 'rtcdet', }, 'yolox_s_adamw':{ # ---------------- Model config ---------------- ## Backbone 'backbone': 'cspdarknet', 'bk_pretrained': True, 'bk_act': 'silu', 'bk_norm': 'BN', 'bk_dpw': False, 'width': 0.50, 'depth': 0.34, 'stride': [8, 16, 32], # P3, P4, P5 'max_stride': 32, ## FPN 'fpn': 'yolox_pafpn', 'fpn_reduce_layer': 'conv', 'fpn_downsample_layer': 'conv', 'fpn_core_block': 'cspblock', '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, 1.25], # 320 -> 800 'trans_type': 'yolox_s', # ---------------- Assignment config ---------------- ## matcher 'matcher': {'center_sampling_radius': 2.5, 'topk_candicate': 10}, # ---------------- Loss config ---------------- ## loss weight 'loss_obj_weight': 1.0, 'loss_cls_weight': 1.0, 'loss_box_weight': 5.0, # ---------------- Train config ---------------- 'trainer_type': 'rtcdet', }, 'yolox_m_adamw':{ # ---------------- Model config ---------------- ## Backbone 'backbone': 'cspdarknet', 'bk_pretrained': False, 'bk_act': 'silu', 'bk_norm': 'BN', 'bk_dpw': False, 'width': 0.75, 'depth': 0.67, 'stride': [8, 16, 32], # P3, P4, P5 'max_stride': 32, ## FPN 'fpn': 'yolox_pafpn', 'fpn_reduce_layer': 'conv', 'fpn_downsample_layer': 'conv', 'fpn_core_block': 'cspblock', '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, 1.25], # 320 -> 800 'trans_type': 'yolox_m', # ---------------- Assignment config ---------------- ## matcher 'matcher': {'center_sampling_radius': 2.5, 'topk_candicate': 10}, # ---------------- Loss config ---------------- ## loss weight 'loss_obj_weight': 1.0, 'loss_cls_weight': 1.0, 'loss_box_weight': 5.0, # ---------------- Train config ---------------- 'trainer_type': 'rtcdet', }, 'yolox_l_adamw':{ # ---------------- Model config ---------------- ## Backbone 'backbone': 'cspdarknet', 'bk_pretrained': False, 'bk_act': 'silu', 'bk_norm': 'BN', 'bk_dpw': False, 'width': 1.0, 'depth': 1.0, 'stride': [8, 16, 32], # P3, P4, P5 'max_stride': 32, ## FPN 'fpn': 'yolox_pafpn', 'fpn_reduce_layer': 'conv', 'fpn_downsample_layer': 'conv', 'fpn_core_block': 'cspblock', '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, 1.25], # 320 -> 800 'trans_type': 'yolox_l', # ---------------- Assignment config ---------------- ## matcher 'matcher': {'center_sampling_radius': 2.5, 'topk_candicate': 10}, # ---------------- Loss config ---------------- ## loss weight 'loss_obj_weight': 1.0, 'loss_cls_weight': 1.0, 'loss_box_weight': 5.0, # ---------------- Train config ---------------- 'trainer_type': 'rtcdet', }, 'yolox_x_adamw':{ # ---------------- Model config ---------------- ## Backbone 'backbone': 'cspdarknet', 'bk_pretrained': False, 'bk_act': 'silu', 'bk_norm': 'BN', 'bk_dpw': False, 'width': 1.25, 'depth': 1.34, 'stride': [8, 16, 32], # P3, P4, P5 'max_stride': 32, ## FPN 'fpn': 'yolox_pafpn', 'fpn_reduce_layer': 'conv', 'fpn_downsample_layer': 'conv', 'fpn_core_block': 'cspblock', '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, 1.25], # 320 -> 800 'trans_type': 'yolox_x', # ---------------- Assignment config ---------------- ## matcher 'matcher': {'center_sampling_radius': 2.5, 'topk_candicate': 10}, # ---------------- Loss config ---------------- ## loss weight 'loss_obj_weight': 1.0, 'loss_cls_weight': 1.0, 'loss_box_weight': 5.0, # ---------------- Train config ---------------- 'trainer_type': 'rtcdet', }, }