Fixed cfg: yolov4-p5.cfg, yolov4-p6.cfg. Added new Weights-files, for: yolov4-csp, yolov4-p5, yolov4-p6, yolov4x-mish

This commit is contained in:
AlexeyAB 2021-06-27 04:46:03 +03:00
parent 795474f0ed
commit 28952006b0
5 changed files with 49 additions and 27 deletions

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@ -1737,7 +1737,7 @@ resize=1.5
iou_thresh=0.2 iou_thresh=0.2
iou_normalizer=0.05 iou_normalizer=0.05
cls_normalizer=0.5 cls_normalizer=0.5
obj_normalizer=0.4 obj_normalizer=1.0
iou_loss=ciou iou_loss=ciou
nms_kind=diounms nms_kind=diounms
beta_nms=0.6 beta_nms=0.6
@ -1782,7 +1782,7 @@ resize=1.5
iou_thresh=0.2 iou_thresh=0.2
iou_normalizer=0.05 iou_normalizer=0.05
cls_normalizer=0.5 cls_normalizer=0.5
obj_normalizer=0.4 obj_normalizer=1.0
iou_loss=ciou iou_loss=ciou
nms_kind=diounms nms_kind=diounms
beta_nms=0.6 beta_nms=0.6
@ -1827,7 +1827,7 @@ resize=1.5
iou_thresh=0.2 iou_thresh=0.2
iou_normalizer=0.05 iou_normalizer=0.05
cls_normalizer=0.5 cls_normalizer=0.5
obj_normalizer=0.4 obj_normalizer=1.0
iou_loss=ciou iou_loss=ciou
nms_kind=diounms nms_kind=diounms
beta_nms=0.6 beta_nms=0.6

View File

@ -2143,17 +2143,22 @@ mask = 0,1,2,3
anchors = 13,17, 31,25, 24,51, 61,45, 61,45, 48,102, 119,96, 97,189, 97,189, 217,184, 171,384, 324,451, 324,451, 545,357, 616,618, 1024,1024 anchors = 13,17, 31,25, 24,51, 61,45, 61,45, 48,102, 119,96, 97,189, 97,189, 217,184, 171,384, 324,451, 324,451, 545,357, 616,618, 1024,1024
classes=80 classes=80
num=16 num=16
jitter=.3 jitter=.1
scale_x_y = 2.0
objectness_smooth=1
ignore_thresh = .7 ignore_thresh = .7
truth_thresh = 1 truth_thresh = 1
random=1 #random=1
scale_x_y = 1.05 resize=1.5
iou_thresh=0.213 iou_thresh=0.2
cls_normalizer=1.0 iou_normalizer=0.05
iou_normalizer=0.07 cls_normalizer=0.5
obj_normalizer=1.0
iou_loss=ciou iou_loss=ciou
nms_kind=greedynms nms_kind=diounms
beta_nms=0.6 beta_nms=0.6
new_coords=1
max_delta=2
# YOLO-4 # YOLO-4
@ -2193,7 +2198,7 @@ resize=1.5
iou_thresh=0.2 iou_thresh=0.2
iou_normalizer=0.05 iou_normalizer=0.05
cls_normalizer=0.5 cls_normalizer=0.5
obj_normalizer=0.4 obj_normalizer=1.0
iou_loss=ciou iou_loss=ciou
nms_kind=diounms nms_kind=diounms
beta_nms=0.6 beta_nms=0.6
@ -2238,7 +2243,7 @@ resize=1.5
iou_thresh=0.2 iou_thresh=0.2
iou_normalizer=0.05 iou_normalizer=0.05
cls_normalizer=0.5 cls_normalizer=0.5
obj_normalizer=0.4 obj_normalizer=1.0
iou_loss=ciou iou_loss=ciou
nms_kind=diounms nms_kind=diounms
beta_nms=0.6 beta_nms=0.6
@ -2283,7 +2288,7 @@ resize=1.5
iou_thresh=0.2 iou_thresh=0.2
iou_normalizer=0.05 iou_normalizer=0.05
cls_normalizer=0.5 cls_normalizer=0.5
obj_normalizer=0.4 obj_normalizer=1.0
iou_loss=ciou iou_loss=ciou
nms_kind=diounms nms_kind=diounms
beta_nms=0.6 beta_nms=0.6

View File

@ -2,10 +2,22 @@ rem Download weights for - DenseNet201, ResNet50 and ResNet152 by this link: htt
rem Download Yolo/Tiny-yolo: https://pjreddie.com/darknet/yolo/ rem Download Yolo/Tiny-yolo: https://pjreddie.com/darknet/yolo/
rem Download Yolo9000: http://pjreddie.com/media/files/yolo9000.weights rem Download Yolo9000: http://pjreddie.com/media/files/yolo9000.weights
darknet.exe partial cfg/yolov4-csp.cfg yolov4-csp.weights yolov4-csp.conv.142 142
darknet.exe partial cfg/yolov4x-mish.cfg yolov4x-mish.weights yolov4x-mish.conv.166 166
rem darknet.exe partial cfg/yolov4-p5.cfg yolov4-p5.weights yolov4-p5.conv.232 232
rem darknet.exe partial cfg/yolov4-p6.cfg yolov4-p6.weights yolov4-p6.conv.289 289
rem darknet.exe partial cfg/tiny-yolo-voc.cfg tiny-yolo-voc.weights tiny-yolo-voc.conv.13 13 rem darknet.exe partial cfg/tiny-yolo-voc.cfg tiny-yolo-voc.weights tiny-yolo-voc.conv.13 13
darknet.exe partial cfg/yolov4-tiny.cfg yolov4-tiny.weights yolov4-tiny.conv.29 29 rem darknet.exe partial cfg/yolov4-tiny.cfg yolov4-tiny.weights yolov4-tiny.conv.29 29
rem darknet.exe partial cfg/yolov4-sam-mish.cfg cfg/yolov4-sam-mish.weights cfg/yolov4-sam-mish.conv.137 137 rem darknet.exe partial cfg/yolov4-sam-mish.cfg cfg/yolov4-sam-mish.weights cfg/yolov4-sam-mish.conv.137 137

View File

@ -1737,7 +1737,7 @@ resize=1.5
iou_thresh=0.2 iou_thresh=0.2
iou_normalizer=0.05 iou_normalizer=0.05
cls_normalizer=0.5 cls_normalizer=0.5
obj_normalizer=0.4 obj_normalizer=1.0
iou_loss=ciou iou_loss=ciou
nms_kind=diounms nms_kind=diounms
beta_nms=0.6 beta_nms=0.6
@ -1782,7 +1782,7 @@ resize=1.5
iou_thresh=0.2 iou_thresh=0.2
iou_normalizer=0.05 iou_normalizer=0.05
cls_normalizer=0.5 cls_normalizer=0.5
obj_normalizer=0.4 obj_normalizer=1.0
iou_loss=ciou iou_loss=ciou
nms_kind=diounms nms_kind=diounms
beta_nms=0.6 beta_nms=0.6
@ -1827,7 +1827,7 @@ resize=1.5
iou_thresh=0.2 iou_thresh=0.2
iou_normalizer=0.05 iou_normalizer=0.05
cls_normalizer=0.5 cls_normalizer=0.5
obj_normalizer=0.4 obj_normalizer=1.0
iou_loss=ciou iou_loss=ciou
nms_kind=diounms nms_kind=diounms
beta_nms=0.6 beta_nms=0.6

View File

@ -2143,17 +2143,22 @@ mask = 0,1,2,3
anchors = 13,17, 31,25, 24,51, 61,45, 61,45, 48,102, 119,96, 97,189, 97,189, 217,184, 171,384, 324,451, 324,451, 545,357, 616,618, 1024,1024 anchors = 13,17, 31,25, 24,51, 61,45, 61,45, 48,102, 119,96, 97,189, 97,189, 217,184, 171,384, 324,451, 324,451, 545,357, 616,618, 1024,1024
classes=80 classes=80
num=16 num=16
jitter=.3 jitter=.1
scale_x_y = 2.0
objectness_smooth=1
ignore_thresh = .7 ignore_thresh = .7
truth_thresh = 1 truth_thresh = 1
random=1 #random=1
scale_x_y = 1.05 resize=1.5
iou_thresh=0.213 iou_thresh=0.2
cls_normalizer=1.0 iou_normalizer=0.05
iou_normalizer=0.07 cls_normalizer=0.5
obj_normalizer=1.0
iou_loss=ciou iou_loss=ciou
nms_kind=greedynms nms_kind=diounms
beta_nms=0.6 beta_nms=0.6
new_coords=1
max_delta=2
# YOLO-4 # YOLO-4
@ -2193,7 +2198,7 @@ resize=1.5
iou_thresh=0.2 iou_thresh=0.2
iou_normalizer=0.05 iou_normalizer=0.05
cls_normalizer=0.5 cls_normalizer=0.5
obj_normalizer=0.4 obj_normalizer=1.0
iou_loss=ciou iou_loss=ciou
nms_kind=diounms nms_kind=diounms
beta_nms=0.6 beta_nms=0.6
@ -2238,7 +2243,7 @@ resize=1.5
iou_thresh=0.2 iou_thresh=0.2
iou_normalizer=0.05 iou_normalizer=0.05
cls_normalizer=0.5 cls_normalizer=0.5
obj_normalizer=0.4 obj_normalizer=1.0
iou_loss=ciou iou_loss=ciou
nms_kind=diounms nms_kind=diounms
beta_nms=0.6 beta_nms=0.6
@ -2283,7 +2288,7 @@ resize=1.5
iou_thresh=0.2 iou_thresh=0.2
iou_normalizer=0.05 iou_normalizer=0.05
cls_normalizer=0.5 cls_normalizer=0.5
obj_normalizer=0.4 obj_normalizer=1.0
iou_loss=ciou iou_loss=ciou
nms_kind=diounms nms_kind=diounms
beta_nms=0.6 beta_nms=0.6