diff --git a/ppocr/modeling/backbones/det_mobilenet_v3.py b/ppocr/modeling/backbones/det_mobilenet_v3.py index f97bcfca..7f7f96bf 100755 --- a/ppocr/modeling/backbones/det_mobilenet_v3.py +++ b/ppocr/modeling/backbones/det_mobilenet_v3.py @@ -58,15 +58,15 @@ class MobileNetV3(nn.Layer): [5, 72, 40, True, 'relu', 2], [5, 120, 40, True, 'relu', 1], [5, 120, 40, True, 'relu', 1], - [3, 240, 80, False, 'hard_swish', 2], - [3, 200, 80, False, 'hard_swish', 1], - [3, 184, 80, False, 'hard_swish', 1], - [3, 184, 80, False, 'hard_swish', 1], - [3, 480, 112, True, 'hard_swish', 1], - [3, 672, 112, True, 'hard_swish', 1], - [5, 672, 160, True, 'hard_swish', 2], - [5, 960, 160, True, 'hard_swish', 1], - [5, 960, 160, True, 'hard_swish', 1], + [3, 240, 80, False, 'hardswish', 2], + [3, 200, 80, False, 'hardswish', 1], + [3, 184, 80, False, 'hardswish', 1], + [3, 184, 80, False, 'hardswish', 1], + [3, 480, 112, True, 'hardswish', 1], + [3, 672, 112, True, 'hardswish', 1], + [5, 672, 160, True, 'hardswish', 2], + [5, 960, 160, True, 'hardswish', 1], + [5, 960, 160, True, 'hardswish', 1], ] cls_ch_squeeze = 960 elif model_name == "small": @@ -75,14 +75,14 @@ class MobileNetV3(nn.Layer): [3, 16, 16, True, 'relu', 2], [3, 72, 24, False, 'relu', 2], [3, 88, 24, False, 'relu', 1], - [5, 96, 40, True, 'hard_swish', 2], - [5, 240, 40, True, 'hard_swish', 1], - [5, 240, 40, True, 'hard_swish', 1], - [5, 120, 48, True, 'hard_swish', 1], - [5, 144, 48, True, 'hard_swish', 1], - [5, 288, 96, True, 'hard_swish', 2], - [5, 576, 96, True, 'hard_swish', 1], - [5, 576, 96, True, 'hard_swish', 1], + [5, 96, 40, True, 'hardswish', 2], + [5, 240, 40, True, 'hardswish', 1], + [5, 240, 40, True, 'hardswish', 1], + [5, 120, 48, True, 'hardswish', 1], + [5, 144, 48, True, 'hardswish', 1], + [5, 288, 96, True, 'hardswish', 2], + [5, 576, 96, True, 'hardswish', 1], + [5, 576, 96, True, 'hardswish', 1], ] cls_ch_squeeze = 576 else: @@ -102,7 +102,7 @@ class MobileNetV3(nn.Layer): padding=1, groups=1, if_act=True, - act='hard_swish', + act='hardswish', name='conv1') self.stages = [] @@ -137,7 +137,7 @@ class MobileNetV3(nn.Layer): padding=0, groups=1, if_act=True, - act='hard_swish', + act='hardswish', name='conv_last')) self.stages.append(nn.Sequential(*block_list)) self.out_channels.append(make_divisible(scale * cls_ch_squeeze)) @@ -191,10 +191,11 @@ class ConvBNLayer(nn.Layer): if self.if_act: if self.act == "relu": x = F.relu(x) - elif self.act == "hard_swish": - x = F.activation.hard_swish(x) + elif self.act == "hardswish": + x = F.hardswish(x) else: - print("The activation function is selected incorrectly.") + print("The activation function({}) is selected incorrectly.". + format(self.act)) exit() return x @@ -281,5 +282,5 @@ class SEModule(nn.Layer): outputs = self.conv1(outputs) outputs = F.relu(outputs) outputs = self.conv2(outputs) - outputs = F.activation.hard_sigmoid(outputs) + outputs = F.hardsigmoid(outputs, slope=0.2, offset=0.5) return inputs * outputs diff --git a/ppocr/modeling/backbones/rec_mobilenet_v3.py b/ppocr/modeling/backbones/rec_mobilenet_v3.py index bdf4a616..1ff17159 100644 --- a/ppocr/modeling/backbones/rec_mobilenet_v3.py +++ b/ppocr/modeling/backbones/rec_mobilenet_v3.py @@ -51,15 +51,15 @@ class MobileNetV3(nn.Layer): [5, 72, 40, True, 'relu', (large_stride[2], 1)], [5, 120, 40, True, 'relu', 1], [5, 120, 40, True, 'relu', 1], - [3, 240, 80, False, 'hard_swish', 1], - [3, 200, 80, False, 'hard_swish', 1], - [3, 184, 80, False, 'hard_swish', 1], - [3, 184, 80, False, 'hard_swish', 1], - [3, 480, 112, True, 'hard_swish', 1], - [3, 672, 112, True, 'hard_swish', 1], - [5, 672, 160, True, 'hard_swish', (large_stride[3], 1)], - [5, 960, 160, True, 'hard_swish', 1], - [5, 960, 160, True, 'hard_swish', 1], + [3, 240, 80, False, 'hardswish', 1], + [3, 200, 80, False, 'hardswish', 1], + [3, 184, 80, False, 'hardswish', 1], + [3, 184, 80, False, 'hardswish', 1], + [3, 480, 112, True, 'hardswish', 1], + [3, 672, 112, True, 'hardswish', 1], + [5, 672, 160, True, 'hardswish', (large_stride[3], 1)], + [5, 960, 160, True, 'hardswish', 1], + [5, 960, 160, True, 'hardswish', 1], ] cls_ch_squeeze = 960 elif model_name == "small": @@ -68,14 +68,14 @@ class MobileNetV3(nn.Layer): [3, 16, 16, True, 'relu', (small_stride[0], 1)], [3, 72, 24, False, 'relu', (small_stride[1], 1)], [3, 88, 24, False, 'relu', 1], - [5, 96, 40, True, 'hard_swish', (small_stride[2], 1)], - [5, 240, 40, True, 'hard_swish', 1], - [5, 240, 40, True, 'hard_swish', 1], - [5, 120, 48, True, 'hard_swish', 1], - [5, 144, 48, True, 'hard_swish', 1], - [5, 288, 96, True, 'hard_swish', (small_stride[3], 1)], - [5, 576, 96, True, 'hard_swish', 1], - [5, 576, 96, True, 'hard_swish', 1], + [5, 96, 40, True, 'hardswish', (small_stride[2], 1)], + [5, 240, 40, True, 'hardswish', 1], + [5, 240, 40, True, 'hardswish', 1], + [5, 120, 48, True, 'hardswish', 1], + [5, 144, 48, True, 'hardswish', 1], + [5, 288, 96, True, 'hardswish', (small_stride[3], 1)], + [5, 576, 96, True, 'hardswish', 1], + [5, 576, 96, True, 'hardswish', 1], ] cls_ch_squeeze = 576 else: @@ -96,7 +96,7 @@ class MobileNetV3(nn.Layer): padding=1, groups=1, if_act=True, - act='hard_swish', + act='hardswish', name='conv1') i = 0 block_list = [] @@ -124,7 +124,7 @@ class MobileNetV3(nn.Layer): padding=0, groups=1, if_act=True, - act='hard_swish', + act='hardswish', name='conv_last') self.pool = nn.MaxPool2D(kernel_size=2, stride=2, padding=0)