# YOLOv5 Config yolov5_cfg = { 'yolov5_n':{ # ---------------- Model config ---------------- ## Backbone 'backbone': 'cspdarknet', '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': 'yolov5_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, 'anchor_size': [[10, 13], [16, 30], [33, 23], # P3 [30, 61], [62, 45], [59, 119], # P4 [116, 90], [156, 198], [373, 326]], # P5 # ---------------- Train config ---------------- ## input 'multi_scale': [0.5, 1.0], # 320 -> 640 'trans_type': 'yolov5_nano', # ---------------- Assignment config ---------------- ## matcher 'anchor_thresh': 4.0, # ---------------- Loss config ---------------- ## loss weight 'loss_obj_weight': 1.0, 'loss_cls_weight': 1.0, 'loss_box_weight': 5.0, # ---------------- Train config ---------------- 'trainer_type': 'yolo', }, 'yolov5_s':{ # ---------------- Model config ---------------- ## Backbone 'backbone': 'cspdarknet', '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': 'yolov5_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, 'anchor_size': [[10, 13], [16, 30], [33, 23], # P3 [30, 61], [62, 45], [59, 119], # P4 [116, 90], [156, 198], [373, 326]], # P5 # ---------------- Train config ---------------- ## input 'multi_scale': [0.5, 1.0], # 320 -> 640 'trans_type': 'yolov5_small', # ---------------- Assignment config ---------------- ## matcher 'anchor_thresh': 4.0, # ---------------- Loss config ---------------- ## loss weight 'loss_obj_weight': 1.0, 'loss_cls_weight': 1.0, 'loss_box_weight': 5.0, # ---------------- Train config ---------------- 'trainer_type': 'yolo', }, 'yolov5_m':{ # ---------------- Model config ---------------- ## Backbone 'backbone': 'cspdarknet', 'pretrained': True, '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': 'yolov5_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, 'anchor_size': [[10, 13], [16, 30], [33, 23], # P3 [30, 61], [62, 45], [59, 119], # P4 [116, 90], [156, 198], [373, 326]], # P5 # ---------------- Train config ---------------- ## input 'multi_scale': [0.5, 1.0], # 320 -> 640 'trans_type': 'yolov5_medium', # ---------------- Assignment config ---------------- ## matcher 'anchor_thresh': 4.0, # ---------------- Loss config ---------------- ## loss weight 'loss_obj_weight': 1.0, 'loss_cls_weight': 1.0, 'loss_box_weight': 5.0, # ---------------- Train config ---------------- 'trainer_type': 'yolo', }, 'yolov5_l':{ # ---------------- Model config ---------------- ## Backbone 'backbone': 'cspdarknet', 'pretrained': True, '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': 'yolov5_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, 'anchor_size': [[10, 13], [16, 30], [33, 23], # P3 [30, 61], [62, 45], [59, 119], # P4 [116, 90], [156, 198], [373, 326]], # P5 # ---------------- Train config ---------------- ## input 'multi_scale': [0.5, 1.0], # 320 -> 640 'trans_type': 'yolov5_large', # ---------------- Assignment config ---------------- ## matcher 'anchor_thresh': 4.0, # ---------------- Loss config ---------------- ## loss weight 'loss_obj_weight': 1.0, 'loss_cls_weight': 1.0, 'loss_box_weight': 5.0, # ---------------- Train config ---------------- 'trainer_type': 'yolo', }, 'yolov5_x':{ # ---------------- Model config ---------------- ## Backbone 'backbone': 'cspdarknet', 'pretrained': True, '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': 'yolov5_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, 'anchor_size': [[10, 13], [16, 30], [33, 23], # P3 [30, 61], [62, 45], [59, 119], # P4 [116, 90], [156, 198], [373, 326]], # P5 # ---------------- Train config ---------------- ## input 'multi_scale': [0.5, 1.0], # 320 -> 640 'trans_type': 'yolov5_huge', # ---------------- Assignment config ---------------- ## matcher 'anchor_thresh': 4.0, # ---------------- Loss config ---------------- ## loss weight 'loss_obj_weight': 1.0, 'loss_cls_weight': 1.0, 'loss_box_weight': 5.0, # ---------------- Train config ---------------- 'trainer_type': 'yolo', }, }