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- __BASE__: [
- '../coco.yaml',
- './hyp.scratch-high.yaml',
- ]
-
- per_batch_size: 16 # 16 * 8 = 128
- img_size: 640
- sync_bn: True
- recompute: False
- recompute_layers: 0
- ms_amp_level: O0
- #keep_loss_fp32: True
-
-
- network:
- model_name: yolov5
-
- depth_multiple: 1.33 # model depth multiple
- width_multiple: 1.25 # layer channel multiple
- stride: [8, 16, 32]
-
- 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:
- # [from, number, module, args]
- [ [ -1, 1, ConvNormAct, [ 64, 6, 2, 2 ] ], # 0-P1/2
- [ -1, 1, ConvNormAct, [ 128, 3, 2 ] ], # 1-P2/4
- [ -1, 3, C3, [ 128 ] ],
- [ -1, 1, ConvNormAct, [ 256, 3, 2 ] ], # 3-P3/8
- [ -1, 6, C3, [ 256 ] ],
- [ -1, 1, ConvNormAct, [ 512, 3, 2 ] ], # 5-P4/16
- [ -1, 9, C3, [ 512 ] ],
- [ -1, 1, ConvNormAct, [ 1024, 3, 2 ] ], # 7-P5/32
- [ -1, 3, C3, [ 1024 ] ],
- [ -1, 1, SPPF, [ 1024, 5 ] ], # 9
- ]
-
- # YOLOv5 v6.0 head
- head:
- [ [ -1, 1, ConvNormAct, [ 512, 1, 1 ] ],
- [ -1, 1, Upsample, [None, 2, 'nearest']],
- [ [ -1, 6 ], 1, Concat, [ 1 ] ], # cat backbone P4
- [ -1, 3, C3, [ 512, False ] ], # 13
-
- [ -1, 1, ConvNormAct, [ 256, 1, 1 ] ],
- [ -1, 1, Upsample, [None, 2, 'nearest']],
- [ [ -1, 4 ], 1, Concat, [ 1 ] ], # cat backbone P3
- [ -1, 3, C3, [ 256, False ] ], # 17 (P3/8-small)
-
- [ -1, 1, ConvNormAct, [ 256, 3, 2 ] ],
- [ [ -1, 14 ], 1, Concat, [ 1 ] ], # cat head P4
- [ -1, 3, C3, [ 512, False ] ], # 20 (P4/16-medium)
-
- [ -1, 1, ConvNormAct, [ 512, 3, 2 ] ],
- [ [ -1, 10 ], 1, Concat, [ 1 ] ], # cat head P5
- [ -1, 3, C3, [ 1024, False ] ], # 23 (P5/32-large)
-
- [ [ 17, 20, 23 ], 1, YOLOv5Head, [nc, anchors, stride] ], # Detect(P3, P4, P5)
- ]
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