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1 week ago 以下是yolov3-tiny的cfg文件：
[net]
Testing
batch=1 subdivisions=1
Training
batch=64
subdivisions=2
width=416 height=416 channels=3 momentum=0.9 decay=0.0005 angle=0 saturation = 1.5 exposure = 1.5 hue=.1
learning_rate=0.001 burn_in=1000 max_batches = 500200 policy=steps steps=400000,450000 scales=.1,.1
[convolutional] batch_normalize=1 filters=16 size=3 stride=1 pad=1 activation=leaky
[maxpool] size=2 stride=2
[convolutional] batch_normalize=1 filters=32 size=3 stride=1 pad=1 activation=leaky
[maxpool] size=2 stride=2
[convolutional] batch_normalize=1 filters=64 size=3 stride=1 pad=1 activation=leaky
[maxpool] size=2 stride=2
[convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=leaky
[maxpool] size=2 stride=2
[convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky
[maxpool] size=2 stride=2
[convolutional] batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=leaky
[maxpool] size=2 stride=1
[convolutional] batch_normalize=1 filters=1024 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=255 activation=linear
[yolo] mask = 3,4,5 anchors = 10,14, 23,27, 37,58, 81,82, 135,169, 344,319 classes=80 num=6 jitter=.3 ignore_thresh = .7 truth_thresh = 1 random=1
[route] layers = -4
[convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=leaky
[upsample] stride=2
[route] layers = -1, 8
[convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky
[convolutional] size=1 stride=1 pad=1 filters=255 activation=linear
[yolo] mask = 0,1,2 anchors = 10,14, 23,27, 37,58, 81,82, 135,169, 344,319 classes=80 num=6 jitter=.3 ignore_thresh = .7 truth_thresh = 1 random=1
大佬您好，我已经在板子上实现了yolov3的推理，用yolov3-tiny.wk文件进行推理的时候检测不到结果，是需要修改后处理的过程吗