Open liuwei3612 opened 3 years ago
我在yolov4-tiny.cfg文件到基础上改了两个地方：
在draknet2ncnn能正常转换，但是到ncnnoptimize就出现下面这个错误：
请大家分析下这个错误是神码原因引起的，该怎么解决，谢谢！
[net] # Testing #batch=1 #subdivisions=1 # Training batch=32 subdivisions=2 width=608 height=608 channels=3 momentum=0.9 decay=0.0005 angle=0,15,30,45,60,75,90 #,105,120,135,150,165,180 saturation = 1.5 exposure = 1.5 hue=.1 learning_rate=0.00261 burn_in=1000 max_batches = 120000 #500200 policy=steps steps=400000,450000 scales=.1,.1 #mosaic=1 [convolutional] batch_normalize=1 filters=32 size=3 stride=2 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=64 size=3 stride=2 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=64 size=3 stride=1 pad=1 activation=leaky [route] layers=-1 groups=2 group_id=1 [convolutional] batch_normalize=1 filters=32 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=32 size=3 stride=1 pad=1 activation=leaky [route] layers = -1,-2 [convolutional] batch_normalize=1 filters=64 size=1 stride=1 pad=1 activation=leaky [route] layers = -6,-1 [maxpool] size=2 stride=2 [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=leaky [route] layers=-1 groups=2 group_id=1 [convolutional] batch_normalize=1 filters=64 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=64 size=3 stride=1 pad=1 activation=leaky [route] layers = -1,-2 [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=leaky [route] layers = -6,-1 [maxpool] size=2 stride=2 [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky [route] layers=-1 groups=2 group_id=1 [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=leaky [route] layers = -1,-2 [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=leaky [route] layers = -6,-1 [maxpool] size=2 stride=2 [convolutional] batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=leaky ################################## [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=leaky [convolutional] size=1 stride=1 pad=1 filters=21 activation=linear [yolo] mask = 3,4,5 anchors = 10,14, 23,27, 37,58, 81,82, 135,169, 344,319 classes=2 num=6 jitter=.3 scale_x_y = 1.05 cls_normalizer=1.0 iou_normalizer=0.07 iou_loss=ciou ignore_thresh = .7 truth_thresh = 1 random=0 resize=1.5 nms_kind=greedynms beta_nms=0.6 [route] layers = -4 [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=leaky [upsample] stride=4 #2 [route] layers = -1, 16 #23 [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky [convolutional] size=1 stride=1 pad=1 filters=21 activation=linear [yolo] mask = 1,2,3 anchors = 10,14, 23,27, 37,58, 81,82, 135,169, 344,319 classes=2 num=6 jitter=.3 scale_x_y = 1.05 cls_normalizer=1.0 iou_normalizer=0.07 iou_loss=ciou ignore_thresh = .7 truth_thresh = 1 random=0 resize=1.5 nms_kind=greedynms beta_nms=0.6
请提供下 param 文件
nihui
commented
3 years ago nihui
commented
3 years ago
我在yolov4-tiny.cfg文件到基础上改了两个地方：
在draknet2ncnn能正常转换，但是到ncnnoptimize就出现下面这个错误：
请大家分析下这个错误是神码原因引起的，该怎么解决，谢谢！