TypeError: 'module' object is not callable

[baiboat]

环境版本与要求一致，运行python videotest_example.py hy.mp4，提示：
Using TensorFlow backend.
../ssd.py:40: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(64, (3, 3), activation="relu", name="conv1_1", padding="same")
name='conv1_1')(net['input'])
../ssd.py:44: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(64, (3, 3), activation="relu", name="conv1_2", padding="same")
name='conv1_2')(net['conv1_1'])
../ssd.py:46: UserWarning: Update your MaxPooling2D call to the Keras 2 API: MaxPooling2D((2, 2), strides=(2, 2), name="pool1", padding="same")
name='pool1')(net['conv1_2'])
../ssd.py:51: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(128, (3, 3), activation="relu", name="conv2_1", padding="same")
name='conv2_1')(net['pool1'])
../ssd.py:55: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(128, (3, 3), activation="relu", name="conv2_2", padding="same")
name='conv2_2')(net['conv2_1'])
../ssd.py:57: UserWarning: Update your MaxPooling2D call to the Keras 2 API: MaxPooling2D((2, 2), strides=(2, 2), name="pool2", padding="same")
name='pool2')(net['conv2_2'])
../ssd.py:62: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(256, (3, 3), activation="relu", name="conv3_1", padding="same")
name='conv3_1')(net['pool2'])
../ssd.py:66: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(256, (3, 3), activation="relu", name="conv3_2", padding="same")
name='conv3_2')(net['conv3_1'])
../ssd.py:70: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(256, (3, 3), activation="relu", name="conv3_3", padding="same")
name='conv3_3')(net['conv3_2'])
../ssd.py:72: UserWarning: Update your MaxPooling2D call to the Keras 2 API: MaxPooling2D((2, 2), strides=(2, 2), name="pool3", padding="same")
name='pool3')(net['conv3_3'])
../ssd.py:77: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(512, (3, 3), activation="relu", name="conv4_1", padding="same")
name='conv4_1')(net['pool3'])
../ssd.py:81: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(512, (3, 3), activation="relu", name="conv4_2", padding="same")
name='conv4_2')(net['conv4_1'])
../ssd.py:85: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(512, (3, 3), activation="relu", name="conv4_3", padding="same")
name='conv4_3')(net['conv4_2'])
../ssd.py:87: UserWarning: Update your MaxPooling2D call to the Keras 2 API: MaxPooling2D((2, 2), strides=(2, 2), name="pool4", padding="same")
name='pool4')(net['conv4_3'])
../ssd.py:92: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(512, (3, 3), activation="relu", name="conv5_1", padding="same")
name='conv5_1')(net['pool4'])
../ssd.py:96: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(512, (3, 3), activation="relu", name="conv5_2", padding="same")
name='conv5_2')(net['conv5_1'])
../ssd.py:100: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(512, (3, 3), activation="relu", name="conv5_3", padding="same")
name='conv5_3')(net['conv5_2'])
../ssd.py:102: UserWarning: Update your MaxPooling2D call to the Keras 2 API: MaxPooling2D((3, 3), strides=(1, 1), name="pool5", padding="same")
name='pool5')(net['conv5_3'])
/home/zwc/anaconda3/envs/ssd-video/lib/python3.6/site-packages/keras/legacy/layers.py:301: UserWarning: The AtrousConvolution2D layer has been deprecated. Use instead the Conv2D layer with the dilation_rate argument.
warnings.warn('The AtrousConvolution2D layer '
/home/zwc/anaconda3/envs/ssd-video/lib/python3.6/site-packages/keras/legacy/layers.py:305: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(1024, (3, 3), activation="relu", name="fc6", dilation_rate=(6, 6), padding="same")
return Conv2D(*args, **kwargs)
../ssd.py:110: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(1024, (1, 1), activation="relu", name="fc7", padding="same")
border_mode='same', name='fc7')(net['fc6'])
../ssd.py:115: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(256, (1, 1), activation="relu", name="conv6_1", padding="same")
name='conv6_1')(net['fc7'])
../ssd.py:118: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(512, (3, 3), activation="relu", name="conv6_2", strides=(2, 2), padding="same")
name='conv6_2')(net['conv6_1'])
../ssd.py:122: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(128, (1, 1), activation="relu", name="conv7_1", padding="same")
name='conv7_1')(net['conv6_2'])
../ssd.py:126: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(256, (3, 3), activation="relu", name="conv7_2", strides=(2, 2), padding="valid")
name='conv7_2')(net['conv7_2'])
../ssd.py:130: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(128, (1, 1), activation="relu", name="conv8_1", padding="same")
name='conv8_1')(net['conv7_2'])
../ssd.py:133: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(256, (3, 3), activation="relu", name="conv8_2", strides=(2, 2), padding="same")
name='conv8_2')(net['conv8_1'])
../ssd.py:140: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(12, (3, 3), name="conv4_3_norm_mbox_loc", padding="same")
name='conv4_3_norm_mbox_loc')(net['conv4_3_norm'])
../ssd.py:148: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(63, (3, 3), name="conv4_3_norm_mbox_conf", padding="same")
name=name)(net['conv4_3_norm'])
../ssd.py:160: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(24, (3, 3), name="fc7_mbox_loc", padding="same")
name='fc7_mbox_loc')(net['fc7'])
../ssd.py:168: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(126, (3, 3), name="fc7_mbox_conf", padding="same")
name=name)(net['fc7'])
../ssd.py:178: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(24, (3, 3), name="conv6_2_mbox_loc", padding="same")
name='conv6_2_mbox_loc')(net['conv6_2'])
../ssd.py:186: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(126, (3, 3), name="conv6_2_mbox_conf", padding="same")
name=name)(net['conv6_2'])
../ssd.py:197: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(24, (3, 3), name="conv7_2_mbox_loc", padding="same")
name='conv7_2_mbox_loc')(net['conv7_2'])
../ssd.py:205: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(126, (3, 3), name="conv7_2_mbox_conf", padding="same")
name=name)(net['conv7_2'])
../ssd.py:216: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(24, (3, 3), name="conv8_2_mbox_loc", padding="same")
name='conv8_2_mbox_loc')(net['conv8_2'])
../ssd.py:224: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(126, (3, 3), name="conv8_2_mbox_conf", padding="same")
name=name)(net['conv8_2'])
Traceback (most recent call last):
File "videotest_example.py", line 16, in
model = SSD(input_shape, num_classes=NUM_CLASSES)
File "../ssd.py", line 258, in SSD300
mode='concat', concat_axis=1, name='mbox_loc')
TypeError: 'module' object is not callable
上网查了之后，将ssd.py中修改如下：
net['mbox_loc'] = concatenate([net['conv4_3_norm_mbox_loc_flat'],
net['fc7_mbox_loc_flat'],
net['conv6_2_mbox_loc_flat'],
net['conv7_2_mbox_loc_flat'],
net['conv8_2_mbox_loc_flat'],
net['pool6_mbox_loc_flat']],
axis=1, name='mbox_loc')
net['mbox_conf'] = concatenate([net['conv4_3_norm_mbox_conf_flat'],
net['fc7_mbox_conf_flat'],
net['conv6_2_mbox_conf_flat'],
net['conv7_2_mbox_conf_flat'],
net['conv8_2_mbox_conf_flat'],
net['pool6_mbox_conf_flat']],
axis=1, name='mbox_conf')
net['mbox_priorbox'] = concatenate([net['conv4_3_norm_mbox_priorbox'],
net['fc7_mbox_priorbox'],
net['conv6_2_mbox_priorbox'],
net['conv7_2_mbox_priorbox'],
net['conv8_2_mbox_priorbox'],
net['pool6_mbox_priorbox']],
axis=1,
name='mbox_priorbox')
之后报错如下：
Using TensorFlow backend.
../ssd.py:41: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(64, (3, 3), activation="relu", name="conv1_1", padding="same")
name='conv1_1')(net['input'])
../ssd.py:45: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(64, (3, 3), activation="relu", name="conv1_2", padding="same")
name='conv1_2')(net['conv1_1'])
../ssd.py:47: UserWarning: Update your MaxPooling2D call to the Keras 2 API: MaxPooling2D((2, 2), strides=(2, 2), name="pool1", padding="same")
name='pool1')(net['conv1_2'])
../ssd.py:52: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(128, (3, 3), activation="relu", name="conv2_1", padding="same")
name='conv2_1')(net['pool1'])
../ssd.py:56: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(128, (3, 3), activation="relu", name="conv2_2", padding="same")
name='conv2_2')(net['conv2_1'])
../ssd.py:58: UserWarning: Update your MaxPooling2D call to the Keras 2 API: MaxPooling2D((2, 2), strides=(2, 2), name="pool2", padding="same")
name='pool2')(net['conv2_2'])
../ssd.py:63: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(256, (3, 3), activation="relu", name="conv3_1", padding="same")
name='conv3_1')(net['pool2'])
../ssd.py:67: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(256, (3, 3), activation="relu", name="conv3_2", padding="same")
name='conv3_2')(net['conv3_1'])
../ssd.py:71: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(256, (3, 3), activation="relu", name="conv3_3", padding="same")
name='conv3_3')(net['conv3_2'])
../ssd.py:73: UserWarning: Update your MaxPooling2D call to the Keras 2 API: MaxPooling2D((2, 2), strides=(2, 2), name="pool3", padding="same")
name='pool3')(net['conv3_3'])
../ssd.py:78: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(512, (3, 3), activation="relu", name="conv4_1", padding="same")
name='conv4_1')(net['pool3'])
../ssd.py:82: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(512, (3, 3), activation="relu", name="conv4_2", padding="same")
name='conv4_2')(net['conv4_1'])
../ssd.py:86: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(512, (3, 3), activation="relu", name="conv4_3", padding="same")
name='conv4_3')(net['conv4_2'])
../ssd.py:88: UserWarning: Update your MaxPooling2D call to the Keras 2 API: MaxPooling2D((2, 2), strides=(2, 2), name="pool4", padding="same")
name='pool4')(net['conv4_3'])
../ssd.py:93: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(512, (3, 3), activation="relu", name="conv5_1", padding="same")
name='conv5_1')(net['pool4'])
../ssd.py:97: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(512, (3, 3), activation="relu", name="conv5_2", padding="same")
name='conv5_2')(net['conv5_1'])
../ssd.py:101: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(512, (3, 3), activation="relu", name="conv5_3", padding="same")
name='conv5_3')(net['conv5_2'])
../ssd.py:103: UserWarning: Update your MaxPooling2D call to the Keras 2 API: MaxPooling2D((3, 3), strides=(1, 1), name="pool5", padding="same")
name='pool5')(net['conv5_3'])
/home/zwc/anaconda3/envs/ssd-video/lib/python3.6/site-packages/keras/legacy/layers.py:301: UserWarning: The AtrousConvolution2D layer has been deprecated. Use instead the Conv2D layer with the dilation_rate argument.
warnings.warn('The AtrousConvolution2D layer '
/home/zwc/anaconda3/envs/ssd-video/lib/python3.6/site-packages/keras/legacy/layers.py:305: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(1024, (3, 3), activation="relu", name="fc6", dilation_rate=(6, 6), padding="same")
return Conv2D(*args, **kwargs)
../ssd.py:111: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(1024, (1, 1), activation="relu", name="fc7", padding="same")
border_mode='same', name='fc7')(net['fc6'])
../ssd.py:116: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(256, (1, 1), activation="relu", name="conv6_1", padding="same")
name='conv6_1')(net['fc7'])
../ssd.py:119: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(512, (3, 3), activation="relu", name="conv6_2", strides=(2, 2), padding="same")
name='conv6_2')(net['conv6_1'])
../ssd.py:123: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(128, (1, 1), activation="relu", name="conv7_1", padding="same")
name='conv7_1')(net['conv6_2'])
../ssd.py:127: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(256, (3, 3), activation="relu", name="conv7_2", strides=(2, 2), padding="valid")
name='conv7_2')(net['conv7_2'])
../ssd.py:131: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(128, (1, 1), activation="relu", name="conv8_1", padding="same")
name='conv8_1')(net['conv7_2'])
../ssd.py:134: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(256, (3, 3), activation="relu", name="conv8_2", strides=(2, 2), padding="same")
name='conv8_2')(net['conv8_1'])
../ssd.py:141: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(12, (3, 3), name="conv4_3_norm_mbox_loc", padding="same")
name='conv4_3_norm_mbox_loc')(net['conv4_3_norm'])
../ssd.py:149: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(63, (3, 3), name="conv4_3_norm_mbox_conf", padding="same")
name=name)(net['conv4_3_norm'])
../ssd.py:161: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(24, (3, 3), name="fc7_mbox_loc", padding="same")
name='fc7_mbox_loc')(net['fc7'])
../ssd.py:169: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(126, (3, 3), name="fc7_mbox_conf", padding="same")
name=name)(net['fc7'])
../ssd.py:179: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(24, (3, 3), name="conv6_2_mbox_loc", padding="same")
name='conv6_2_mbox_loc')(net['conv6_2'])
../ssd.py:187: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(126, (3, 3), name="conv6_2_mbox_conf", padding="same")
name=name)(net['conv6_2'])
../ssd.py:198: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(24, (3, 3), name="conv7_2_mbox_loc", padding="same")
name='conv7_2_mbox_loc')(net['conv7_2'])
../ssd.py:206: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(126, (3, 3), name="conv7_2_mbox_conf", padding="same")
name=name)(net['conv7_2'])
../ssd.py:217: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(24, (3, 3), name="conv8_2_mbox_loc", padding="same")
name='conv8_2_mbox_loc')(net['conv8_2'])
../ssd.py:225: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(126, (3, 3), name="conv8_2_mbox_conf", padding="same")
name=name)(net['conv8_2'])
Traceback (most recent call last):
File "videotest_example.py", line 16, in
model = SSD(input_shape, num_classes=NUM_CLASSES)
File "../ssd.py", line 274, in SSD300
name='mbox_priorbox')
File "/home/zwc/anaconda3/envs/ssd-video/lib/python3.6/site-packages/keras/layers/merge.py", line 641, in concatenate
return Concatenate(axis=axis, **kwargs)(inputs)
File "/home/zwc/anaconda3/envs/ssd-video/lib/python3.6/site-packages/keras/engine/base_layer.py", line 434, in call
self.build(input_shapes)
File "/home/zwc/anaconda3/envs/ssd-video/lib/python3.6/site-packages/keras/layers/merge.py", line 354, in build
'Got inputs shapes: %s' % (input_shape))
ValueError: A Concatenate layer requires inputs with matching shapes except for the concat axis. Got inputs shapes: [(None, 38, 38, 512), (None, 19, 19, 1024), (None, 10, 10, 512), (None, 5, 5, 256), (None, 3, 3, 256), (None, 1, 1, 256)]