depth_multiple: 1.0 # model depth multiple width_multiple: 1.0 # layer channel multiple # anchors anchors: - [12,16, 19,36, 40,28] # P3/8 - [36,75, 76,55, 72,146] # P4/16 - [142,110, 192,243, 459,401] # P5/32 # yolov7 backbone backbone: # [from, number, module, a...
摘要 YoloV7虽然和YoloV5、YoloV8一脉相承,但是其配置文件及其复杂,对修改造成一定的难度。 yolov7.yaml配置文件如下: 代码语言:javascript 复制 # parametersnc:80# numberofclassesdepth_multiple:1.0# model depth multiplewidth_multiple:1.0# layer channel multiple # anchorsanchors:-[12,16,19,36,40,28]#...
nc: 80 # number of classes depth_multiple: 0.33 # model depth multiple width_multiple: 0.50 # layer channel multiple anchors: - [10,13, 16,30, 33,23] # P3/8 - [30,61, 62,45, 59,119] # P4/16 - [116,90, 156,198, 373,326] # P5/32 # YOLOv5 v6.0 backbone backbone: # ...
depth_multiple: 0.33 # 更改模型的深度,这里主要影响的是网络里面的number参数,最少为一,其他的则是会变为原来的三分之一 width_multiple: 0.50 # 更改网络的宽度, 这里主要影响的是网络里面的输入通道数,变为原来的二分之一 anchors: # 这个先验框的配置 - [10,13, 16,30, 33,23] # P3/8 大尺度 -...
# parameters nc: 1 # number of classes depth_multiple: 0.33 # model depth multiple width_multiple: 0.50 # layer channel multiple # anchors anchors: #- [5,6, 7,9, 12,10] # P2/4 - [10,13, 16,30, 33,23] # P3/8 - [30,61, 62,45, 59,119] # P4/16 - [116,90, 156,198...
depth_multiple: 1.0 # model depth multiple width_multiple: 1.0 # layer channel multiple # anchors anchors: - [12,16, 19,36, 40,28] # P3/8 - [36,75, 76,55, 72,146] # P4/16 - [142,110, 192,243, 459,401] # P5/32
depth_multiple: 1.0 # model depth multiple width_multiple: 1.0 # layer channel multiple # anchors anchors: - [12,16, 19,36, 40,28] # P3/8 - [36,75, 76,55, 72,146] # P4/16 - [142,110, 192,243, 459,401] # P5/32 # yolov7 backbone backbone: # [from, number, module, ...
anchors, nc, gd, gw = d['anchors'], d['nc'], d['depth_multiple'], d['width_multiple'] na = (len(anchors[0]) //2)ifisinstance(anchors,list)elseanchors# number of anchorsno = na * (nc +5)# number of outputs = anchors * (classes + 5)layers, save, c2 = [], [], ch...
depth_multiple: 1.0 # model depth multiple width_multiple: 1.0 # layer channel multiple # anchors anchors: - [12,16, 19,36, 40,28] # P3/8 - [36,75, 76,55, 72,146] # P4/16 - [142,110, 192,243, 459,401] # P5/32
# parametersnc: 80 # number of classesdepth_multiple: 1.0 # model depth multiplewidth_multiple: 1.0 # layer channel multiple# anchorsanchors:- [12,16, 19,36, 40,28] # P3/8- [36,75, 76,55, 72,146] # P4/16- [142,110, 192,243, 459,401] # P5/32# yolov7 backbonebackbone:#...