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| # Ultralytics YOLO 🚀, AGPL-3.0 license | |
| # YOLOv3-SPP object detection model with P3-P5 outputs. For details see https://docs.ultralytics.com/models/yolov3 | |
| # Parameters | |
| nc: 80 # number of classes | |
| depth_multiple: 1.0 # model depth multiple | |
| width_multiple: 1.0 # layer channel multiple | |
| # 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]] # Detect(P3, P4, P5) | |