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darknet
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yolov4.cfg is fixed for stable training without Nan

This commit is contained in:
AlexeyAB 2020-05-23 17:52:20 +03:00
parent ba4d8c14c7
commit c0d6b81a78
3 changed files with 9 additions and 3 deletions
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5
build/darknet/x64/cfg/yolov4.cfg
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@ -14,7 +14,7 @@ saturation = 1.5
exposure = 1.5 exposure = 1.5
hue=.1 hue=.1
learning_rate=0.00261 learning_rate=0.0013
burn_in=1000 burn_in=1000
max_batches = 500500 max_batches = 500500
policy=steps policy=steps
@ -977,6 +977,7 @@ iou_normalizer=0.07
iou_loss=ciou iou_loss=ciou
nms_kind=greedynms nms_kind=greedynms
beta_nms=0.6 beta_nms=0.6
max_delta=5
[route] [route]
@ -1064,6 +1065,7 @@ iou_normalizer=0.07
iou_loss=ciou iou_loss=ciou
nms_kind=greedynms nms_kind=greedynms
beta_nms=0.6 beta_nms=0.6
max_delta=5
[route] [route]
@ -1152,4 +1154,5 @@ iou_normalizer=0.07
iou_loss=ciou iou_loss=ciou
nms_kind=greedynms nms_kind=greedynms
beta_nms=0.6 beta_nms=0.6
max_delta=5

5
cfg/yolov4.cfg
View File

@ -14,7 +14,7 @@ saturation = 1.5
exposure = 1.5 exposure = 1.5
hue=.1 hue=.1
learning_rate=0.00261 learning_rate=0.0013
burn_in=1000 burn_in=1000
max_batches = 500500 max_batches = 500500
policy=steps policy=steps
@ -977,6 +977,7 @@ iou_normalizer=0.07
iou_loss=ciou iou_loss=ciou
nms_kind=greedynms nms_kind=greedynms
beta_nms=0.6 beta_nms=0.6
max_delta=5
[route] [route]
@ -1064,6 +1065,7 @@ iou_normalizer=0.07
iou_loss=ciou iou_loss=ciou
nms_kind=greedynms nms_kind=greedynms
beta_nms=0.6 beta_nms=0.6
max_delta=5
[route] [route]
@ -1152,4 +1154,5 @@ iou_normalizer=0.07
iou_loss=ciou iou_loss=ciou
nms_kind=greedynms nms_kind=greedynms
beta_nms=0.6 beta_nms=0.6
max_delta=5

2
src/layer.c
View File

@ -188,7 +188,7 @@ void free_layer_custom(layer l, int keep_cudnn_desc)
if (l.scale_updates_gpu) cuda_free(l.scale_updates_gpu), l.scale_updates_gpu = NULL; if (l.scale_updates_gpu) cuda_free(l.scale_updates_gpu), l.scale_updates_gpu = NULL;
if (l.input_antialiasing_gpu) cuda_free(l.input_antialiasing_gpu), l.input_antialiasing_gpu = NULL; if (l.input_antialiasing_gpu) cuda_free(l.input_antialiasing_gpu), l.input_antialiasing_gpu = NULL;
if (l.optimized_memory < 2) { if (l.optimized_memory < 2) {
if (l.x_gpu) cuda_free(l.x_gpu); l.x_gpu = NULL; if (l.x_gpu) cuda_free(l.x_gpu), l.x_gpu = NULL;
if (l.output_gpu) cuda_free(l.output_gpu), l.output_gpu = NULL; if (l.output_gpu) cuda_free(l.output_gpu), l.output_gpu = NULL;
if (l.output_avg_gpu) cuda_free(l.output_avg_gpu), l.output_avg_gpu = NULL; if (l.output_avg_gpu) cuda_free(l.output_avg_gpu), l.output_avg_gpu = NULL;
if (l.activation_input_gpu) cuda_free(l.activation_input_gpu), l.activation_input_gpu = NULL; if (l.activation_input_gpu) cuda_free(l.activation_input_gpu), l.activation_input_gpu = NULL;