greenhouse/models/yolov3-spp.yaml
Glenn Jocher 76807fae71
YOLOv5 Forward Compatibility Update (#1569)
* YOLOv5 forward compatibility update

* add data dir

* ci test yolov3

* update build_targets()

* update build_targets()

* update build_targets()

* update yolov3-spp.yaml

* add yolov3-tiny.yaml

* add yolov3-tiny.yaml

* Update yolov3-tiny.yaml

* thop bug fix

* Detection() device bug fix

* Use torchvision.ops.nms()

* Remove redundant download mirror

* CI tests with yolov3-tiny

* Update README.md

* Synch train and test iou_thresh

* update requirements.txt

* Cat apriori autolabels

* Confusion matrix

* Autosplit

* Autosplit

* Update README.md

* AP no plot

* Update caching

* Update caching

* Caching bug fix

* --image-weights bug fix

* datasets bug fix

* mosaic plots bug fix

* plot_study

* boxes.max()

* boxes.max()

* boxes.max()

* boxes.max()

* boxes.max()

* boxes.max()

* update

* Update README

* Update README

* Update README.md

* Update README.md

* results png

* Update README

* Targets scaling bug fix

* update plot_study

* update plot_study

* update plot_study

* update plot_study

* Targets scaling bug fix

* Finish Readme.md

* Finish Readme.md

* Finish Readme.md

* Update README.md

* Creado con Colaboratory
2020-11-26 20:24:00 +01:00

52 lines
1.5 KiB
YAML

# parameters
nc: 80 # number of classes
depth_multiple: 1.0 # model depth multiple
width_multiple: 1.0 # layer channel multiple
# anchors
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
# darknet53 backbone
backbone:
# [from, number, module, args]
[[-1, 1, Conv, [32, 3, 1]], # 0
[-1, 1, Conv, [64, 3, 2]], # 1-P1/2
[-1, 1, Bottleneck, [64]],
[-1, 1, Conv, [128, 3, 2]], # 3-P2/4
[-1, 2, Bottleneck, [128]],
[-1, 1, Conv, [256, 3, 2]], # 5-P3/8
[-1, 8, Bottleneck, [256]],
[-1, 1, Conv, [512, 3, 2]], # 7-P4/16
[-1, 8, Bottleneck, [512]],
[-1, 1, Conv, [1024, 3, 2]], # 9-P5/32
[-1, 4, Bottleneck, [1024]], # 10
]
# YOLOv3-SPP head
head:
[[-1, 1, Bottleneck, [1024, False]],
[-1, 1, SPP, [512, [5, 9, 13]]],
[-1, 1, Conv, [1024, 3, 1]],
[-1, 1, Conv, [512, 1, 1]],
[-1, 1, Conv, [1024, 3, 1]], # 15 (P5/32-large)
[-2, 1, Conv, [256, 1, 1]],
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
[[-1, 8], 1, Concat, [1]], # cat backbone P4
[-1, 1, Bottleneck, [512, False]],
[-1, 1, Bottleneck, [512, False]],
[-1, 1, Conv, [256, 1, 1]],
[-1, 1, Conv, [512, 3, 1]], # 22 (P4/16-medium)
[-2, 1, Conv, [128, 1, 1]],
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
[[-1, 6], 1, Concat, [1]], # cat backbone P3
[-1, 1, Bottleneck, [256, False]],
[-1, 2, Bottleneck, [256, False]], # 27 (P3/8-small)
[[27, 22, 15], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5)
]