Appendix

README.md

@@ -67,7 +67,7 @@ Please refer to the resources folder
 - [ ] Pretrained Models and weights
 - [ ] Datasets
 - [ ] Burn Guidelines
-- [ ] Appendix 1
+- [x] Appendix 1
 - [ ] Appendix 2
 - [ ] Appendix 3
 - [ ] Appendix 4

appendices/Hyp-evolution/_ipynb_checkpoints/hyp_evolve-checkpoint.yaml

@@ -0,0 +1,35 @@
+# YOLOv5 Hyperparameter Evolution Results
+# Best generation: 47
+# Last generation: 57
+#    metrics/precision,       metrics/recall,      metrics/mAP_0.5, metrics/mAP_0.5:0.95,         val/box_loss,         val/obj_loss,         val/cls_loss
+#              0.46001,              0.30879,               0.2931,               0.1128,             0.072142,             0.024181,             0.024609
+
+lr0: 0.00751
+lrf: 0.01024
+momentum: 0.94587
+weight_decay: 0.00041
+warmup_epochs: 2.958
+warmup_momentum: 0.63211
+warmup_bias_lr: 0.10031
+box: 0.05829
+cls: 0.46794
+cls_pw: 0.82664
+obj: 0.91661
+obj_pw: 0.92397
+iou_t: 0.2
+anchor_t: 5.0455
+fl_gamma: 0.0
+hsv_h: 0.01209
+hsv_s: 0.77158
+hsv_v: 0.57911
+degrees: 0.0
+translate: 0.10142
+scale: 0.42566
+shear: 0.0
+perspective: 0.0
+flipud: 0.0
+fliplr: 0.5
+mosaic: 1.0
+mixup: 0.0
+copy_paste: 0.0
+anchors: 3.1762

appendices/Hyp-evolution/hyp_evolve.yaml

@@ -0,0 +1,35 @@
+# YOLOv5 Hyperparameter Evolution Results
+# Best generation: 74
+# Last generation: 299
+#    metrics/precision,       metrics/recall,      metrics/mAP_0.5, metrics/mAP_0.5:0.95,         val/box_loss,         val/obj_loss,         val/cls_loss
+#              0.48643,              0.27827,              0.28035,              0.11763,             0.053323,             0.020977,             0.019461
+
+lr0: 0.00752
+lrf: 0.01
+momentum: 0.90636
+weight_decay: 0.00046
+warmup_epochs: 3.2144
+warmup_momentum: 0.59807
+warmup_bias_lr: 0.10542
+box: 0.04364
+cls: 0.37685
+cls_pw: 0.84671
+obj: 0.74658
+obj_pw: 0.94121
+iou_t: 0.2
+anchor_t: 5.662
+fl_gamma: 0.0
+hsv_h: 0.01362
+hsv_s: 0.9
+hsv_v: 0.48765
+degrees: 0.0
+translate: 0.09149
+scale: 0.57013
+shear: 0.0
+perspective: 0.0
+flipud: 0.0
+fliplr: 0.5
+mosaic: 0.93319
+mixup: 0.0
+copy_paste: 0.0
+anchors: 2.5778

appendices/yolov5_runs.csv

@@ -0,0 +1,14 @@
+Name,Runtime,Notes,GPU Type,GPU Count,State,batch_size,cache,cfg,cos_lr,data_dict.names,data_dict.nc,epochs,hyp.anchor_t,hyp.anchors,hyp.box,hyp.cls,hyp.cls_pw,hyp.hsv_h,hyp.hsv_s,hyp.hsv_v,hyp.lr0,hyp.lrf,hyp.momentum,hyp.mosaic,hyp.obj,hyp.obj_pw,hyp.scale,hyp.translate,hyp.warmup_bias_lr,hyp.warmup_epochs,hyp.warmup_momentum,imgsz,label_smoothing,multi_scale,rect,weights,best/epoch,best/mAP_0.5,best/mAP_0.5:0.95,best/precision,best/recall,metrics/mAP_0.5,metrics/mAP_0.5:0.95,metrics/precision,metrics/recall,train/box_loss,train/cls_loss,train/obj_loss,val/box_loss,val/cls_loss,val/obj_loss,x/lr0,x/lr1,x/lr2
+yolov5s_results_2022_8_4,2622,-,NVIDIA A40,1,finished,128,ram,./models/yolov5s.yaml,TRUE,"[""1st degree burn"",""2nd degree burn"",""3rd degree""]",3,500,4,,0.05,0.5,1,0.015,0.7,0.4,0.01,0.01,0.937,1,1,1,0.5,0.1,0.1,3,0.8,416,0.1,TRUE,TRUE,./weights/yolov5s6.pt,488,0.434515358,0.212523563,0.577770466,0.460389719,0.432377596,0.211209374,0.575006752,0.456156776,0.018748587,0.011341761,0.019538885,0.055579901,0.019813072,0.020987321,0.000100391,0.000100391,0.000100391
+yolov5s6_hyp_300,2253,-,NVIDIA A40,1,finished,256,ram,./models/yolov5s.yaml,TRUE,"[""1st degree burn"",""2nd degree burn"",""3rd degree""]",3,500,4,,0.05,0.5,1,0.015,0.7,0.4,0.01,0.01,0.937,1,1,1,0.5,0.1,0.1,3,0.8,416,0.1,TRUE,TRUE,./weights/yolov5s6.pt,384,0.287631409,0.128688703,0.463310636,0.29422128,0.286873415,0.128249122,0.463557325,0.29422128,0.014406111,0.01123612,0.006895824,0.063013576,0.029817544,0.024739975,0.000128211,0.000128211,0.000128211
+yolov5s6_hyp_300,2051,-,NVIDIA A40,1,finished,256,ram,./models/yolov5s.yaml,TRUE,"[""1st degree burn"",""2nd degree burn"",""3rd degree""]",3,500,4,,0.05,0.5,1,0.015,0.7,0.4,0.01,0.01,0.937,1,1,1,0.5,0.1,0.1,3,0.8,416,0.1,TRUE,TRUE,./weights/yolov5s6.pt,334,0.284357507,0.122697534,0.508707901,0.295088741,0.284182594,0.122131197,0.510057324,0.293164942,0.017942572,0.011475443,0.012347755,0.062861092,0.028163778,0.023082122,0.000532177,0.000532177,0.000532177
+no_gauss_80G,1117,-,NVIDIA A100-SXM4-80GB,1,finished,230,ram,./models/yolov5m.yaml,TRUE,"[""1st degree burn"",""2nd degree burn"",""3rd degree""]",3,500,4,,0.05,0.5,1,0.015,0.7,0.4,0.01,0.01,0.937,1,1,1,0.5,0.1,0.1,3,0.8,416,0.1,TRUE,TRUE,./runs/train/no_gauss/weights/best.pt,115,0.233536679,0.094506163,0.310216905,0.259489077,0.233472067,0.094509801,0.310592882,0.259489077,0.03732397,0.012196261,0.017416257,0.065818749,0.029064905,0.01734269,0.00616014,0.00616014,0.00616014
+no_gauss_80G,53,-,NVIDIA A100-SXM4-80GB,1,killed,128,ram,./models/yolov5m.yaml,TRUE,"[""1st degree burn"",""2nd degree burn"",""3rd degree""]",3,500,4,,0.05,0.5,1,0.015,0.7,0.4,0.01,0.01,0.937,1,1,1,0.5,0.1,0.1,3,0.8,416,0.1,TRUE,TRUE,./runs/train/no_gauss/weights/best.pt,0,0.001017246,0.000265721,0.001244153,0.243221232,0.000857891,0.000218875,0.000988758,0.185972981,0.086577468,0.03377822,0.028300708,0.081572935,0.036031313,0.019351095,0.046899481,0.005899481,0.005899481
+yolov5s_results_fixed2,4621,-,NVIDIA GeForce RTX 3090,1,finished,32,ram,./models/yolov5s.yaml,TRUE,"[""1st degree burn"",""2nd degree burn"",""3rd degree""]",3,500,4,,0.05,0.5,1,0.015,0.7,0.4,0.01,0.01,0.937,1,1,1,0.5,0.1,0.1,3,0.8,416,0.1,TRUE,TRUE,./weights/yolov5s6.pt,257,0.277204841,0.112201749,0.432881936,0.324208776,0.276850205,0.11229115,0.432772701,0.328082782,0.018603411,0.011257051,0.009720365,0.063316278,0.032474123,0.02294858,0.001991595,0.001991595,0.001991595
+no_gauss_hyp,1087,-,NVIDIA A40,1,finished,256,ram,./models/yolov5s.yaml,TRUE,"[""1st degree burn"",""2nd degree burn"",""3rd degree""]",3,500,4.3116,4.7748,0.05158,0.42823,0.92099,0.01143,0.67979,0.72348,0.00891,0.01054,0.86359,0.86002,1.2182,0.61008,0.44609,0.09661,0.06034,2.3976,0.80029,416,0.1,TRUE,TRUE,./runs/train/no_gauss/weights/best.pt,129,0.289630593,0.12029214,0.445272935,0.297109948,0.289037817,0.120279915,0.445765315,0.296936276,0.018070189,0.0092765,0.010124782,0.060067106,0.024015576,0.026314478,0.005109341,0.005109341,0.005109341
+no_gauss_hyp,2133,-,NVIDIA A40,1,finished,256,ram,./models/yolov5s.yaml,TRUE,"[""1st degree burn"",""2nd degree burn"",""3rd degree""]",3,500,4.3116,4.7748,0.05158,0.42823,0.92099,0.01143,0.67979,0.72348,0.00891,0.01054,0.86359,0.86002,1.2182,0.61008,0.44609,0.09661,0.06034,2.3976,0.80029,416,0.1,TRUE,TRUE,./runs/train/no_gauss/weights/best.pt,344,0.275174103,0.121194966,0.5181765,0.252130622,0.275315752,0.121612762,0.519150122,0.25273892,0.012408785,0.009147018,0.012348573,0.060684513,0.022482034,0.029768173,0.000373602,0.000373602,0.000373602
+no_gauss,1871,-,NVIDIA A40,1,finished,256,ram,./models/yolov5s.yaml,TRUE,"[""1st degree burn"",""2nd degree burn"",""3rd degree""]",3,500,4,,0.05,0.5,1,0.015,0.7,0.4,0.01,0.01,0.937,1,1,1,0.5,0.1,0.1,3,0.8,416,0.1,TRUE,TRUE,./weights/yolov5s6.pt,303,0.298578556,0.119867458,0.579269505,0.284542972,0.297815775,0.119687746,0.578785013,0.282195554,0.016967947,0.011244843,0.008746584,0.063186213,0.03042884,0.021825114,0.001009121,0.001009121,0.001009121
+yolov5s_results_rep,2338,-,NVIDIA A40,1,finished,256,ram,./models/yolov5s.yaml,TRUE,"[""1st degree burn"",""2nd degree burn"",""3rd degree""]",3,500,4,,0.05,0.5,1,0.015,0.7,0.4,0.01,0.01,0.937,1,1,1,0.5,0.1,0.1,3,0.8,416,0.1,TRUE,TRUE,./weights/yolov5s6.pt,426,0.268126329,0.111080211,0.474077562,0.266343298,0.267952951,0.111284843,0.475639587,0.266343298,0.01516575,0.011256866,0.0079369,0.06322398,0.028659757,0.025793515,0.000100391,0.000100391,0.000100391
+yolov5s_results_ver2_2215,4119,-,NVIDIA A40,1,finished,256,ram,./models/yolov5s.yaml,TRUE,"[""1st degree burn"",""2nd degree burn"",""3rd degree""]",3,500,4,,0.05,0.5,1,0.015,0.7,0.4,0.01,0.01,0.937,1,1,1,0.5,0.1,0.1,3,0.8,416,0.1,TRUE,TRUE,./weights/yolov5s6.pt,65,0.188309984,0.057719507,0.326396426,0.245790217,0.187851391,0.057787499,0.327020309,0.245790217,0.03771941,0.012866659,0.017223103,0.066023074,0.030511895,0.017226355,0.007596476,0.007596476,0.007596476
+yolov5s_results_ver2_1915,3392,-,NVIDIA A40,1,finished,256,ram,./models/yolov5s.yaml,TRUE,"[""1st degree burn"",""2nd degree burn"",""3rd degree""]",3,500,4,,0.05,0.5,1,0.015,0.7,0.4,0.01,0.01,0.937,1,1,1,0.5,0.1,0.1,3,0.8,416,0.1,TRUE,TRUE,./weights/yolov5s6.pt,37,0.134101874,0.036144485,0.240835853,0.228827728,0.13468347,0.036384289,0.239465355,0.228827728,0.044892933,0.015749969,0.025814597,0.070470393,0.026376681,0.016876977,0.008300099,0.008300099,0.008300099
+yolov5s_results #1 (s),2092,first attempt after revised data ,NVIDIA GeForce RTX 3090,1,finished,128,ram,./models/yolov5s.yaml,TRUE,"[""1st degree burn"",""2nd degree burn"",""3rd degree""]",3,500,4,,0.05,0.5,1,0.015,0.7,0.4,0.01,0.01,0.937,1,1,1,0.5,0.1,0.1,3,0.8,416,0.1,TRUE,TRUE,./weights/yolov5s6.pt,331,0.269169171,0.109023314,0.440257428,0.27626048,0.267646355,0.108733447,0.443395975,0.280577109,0.01671409,0.011285256,0.011915722,0.064912938,0.031363819,0.024413101,0.000571106,0.000571106,0.000571106

appendices/yolov7_runs.csv

@@ -0,0 +1,5 @@
+Name,Created,Runtime,GitHub,End Time,GPU Type,Updated,batch_size,cache_images,cfg,data,data_dict.train,data_dict.val,device,hyp.lrf,name,opt.batch_size,opt.cache_images,opt.cfg,opt.data,opt.device,opt.hyp.lrf,opt.name,opt.rect,opt.save_dir,opt.total_batch_size,opt.weights,rect,save_dir,total_batch_size,weights,metrics/mAP_0.5,metrics/mAP_0.5:0.95,metrics/precision,metrics/recall,train/box_loss,train/cls_loss,train/obj_loss,val/box_loss,val/cls_loss,val/obj_loss,x/lr0,x/lr1,x/lr2
+exp6,2022-08-13T15:40:04.000Z,22790,https://gitee.com/monkeycc/yolov7/tree/6ded32cc8d0ab40ea51f385876c143011ec69197,2022-08-13T21:59:54.000Z,NVIDIA A100-SXM4-80GB,2022-08-13T21:59:54.000Z,70,FALSE,cfg/deploy/yolov7-e6e.yaml,Skin_burn/data.yaml,Skin_burn/train/images,Skin_burn/valid/images,,0.2,exp,70,FALSE,cfg/deploy/yolov7-e6e.yaml,Skin_burn/data.yaml,,0.2,exp,FALSE,runs/train/exp6,70,yolov7-e6e.pt,FALSE,runs/train/exp6,70,yolov7-e6e.pt,0.729215049,0.384599918,0.847645014,0.688900733,0.013450954,0.001672865,0.007426366,0.052537635,0.004915861,0.020551177,0.002000219,0.002000219,0.002000219
+yolov7x4,2022-08-12T16:43:37.000Z,30626,https://gitee.com/monkeycc/yolov7/tree/3708cdedd2d9348d2c2c0588f62bb1fe574cd1ec,2022-08-13T01:14:03.000Z,NVIDIA A40,2022-08-13T01:14:03.000Z,50,TRUE,cfg/training/yolov7x.yaml,skin_burn_v7/data.yaml,skin_burn_v7/train/images,skin_burn_v7/valid/images,0,0.1,yolov7x,50,TRUE,cfg/training/yolov7x.yaml,skin_burn_v7/data.yaml,0,0.1,yolov7x,FALSE,runs/train/yolov7x4,50,weights/yolov7x.pt,FALSE,runs/train/yolov7x4,50,weights/yolov7x.pt,0.690938098,0.367847133,0.824361268,0.66202751,0.012383512,0.000903089,0.00975449,0.055154338,0.004176954,0.021191208,0.001000247,0.001000247,0.001000247
+v7_p56,2022-08-12T05:54:55.000Z,22705,https://gitee.com/monkeycc/yolov7/tree/3708cdedd2d9348d2c2c0588f62bb1fe574cd1ec,2022-08-12T12:13:20.000Z,NVIDIA A40,2022-08-12T12:13:20.000Z,64,TRUE,cfg/training/yolov7.yaml,skin_burn_v7/data.yaml,skin_burn_v7/train/images,skin_burn_v7/valid/images,0,0.1,v7_p5,64,TRUE,cfg/training/yolov7.yaml,skin_burn_v7/data.yaml,0,0.1,v7_p5,TRUE,runs/train/v7_p56,64,weights/yolov7_training.pt,TRUE,runs/train/v7_p56,64,weights/yolov7_training.pt,0.513321793,0.218813281,0.702395048,0.496256108,0.030485192,0.001038292,0.003436291,0.063791856,0.008202687,0.024913311,0.001000247,0.001000247,0.001000247
+v7_p53,2022-08-11T11:32:48.000Z,22424,https://gitee.com/monkeycc/yolov7/tree/3708cdedd2d9348d2c2c0588f62bb1fe574cd1ec,2022-08-11T17:46:32.000Z,NVIDIA A40,2022-08-11T17:46:32.000Z,64,FALSE,cfg/training/yolov7.yaml,skin_burn_v7/data.yaml,skin_burn_v7/train/images,skin_burn_v7/valid/images,0,0.1,v7_p5,64,FALSE,cfg/training/yolov7.yaml,skin_burn_v7/data.yaml,0,0.1,v7_p5,FALSE,runs/train/v7_p53,64,weights/yolov7_training.pt,FALSE,runs/train/v7_p53,64,weights/yolov7_training.pt,0.706898786,0.361803768,0.81235658,0.67507665,0.013581761,0.001090429,0.010734282,0.057547651,0.004185412,0.022668509,0.001000247,0.001000247,0.001000247