图断开连接：无法在“input_1”层获取张量 Tensor("input_1:0", shape=(None, 299, 299, 3), dtype=float32) 的值

Question

我正在尝试将热图用于Xception model（修改了顶层）：

import tensorflow as to
import cv2
import numpy as np
label = 1
IMAGE_PATH = '/home/piyush/Desktop/HV/hv_2/deep-viz-keras/images/doberman.png'

img = tf.keras.preprocessing.image.load_img(IMAGE_PATH, target_size=(299, 299))
img = tf.keras.preprocessing.image.img_to_array(img)

model_path = '/home/piyush/Desktop/temp/model.h5'
model = tf.keras.models.load_model(model_path)
inputs = tf.keras.Input(shape=(299,299,3))
#print(model.summary())
#print([layer.shape for layer in model.get_layer('xception').layers])
final = tf.keras.Model(inputs=model.inputs, outputs=model.output)
print(model.inputs)
#extractor = tf.keras.Model(inputs=inputs, outputs=[layer.output for layer in model.layers])
conv_layer = tf.keras.Model(inputs=inputs,outputs=model.get_layer('xception').get_layer('block14_sepconv2_act').output)

如果我运行它，我会收到以下错误：

        conv_layer = tf.keras.Model(inputs=inputs, outputs=model.get_layer('xception').get_layer('block14_sepconv2_act').output)

ValueError: Graph disconnected: cannot obtain value for tensor Tensor("input_1:0", shape=(None, 299, 299, 3), dtype=float32) at layer "input_1". The following previous layers were accessed without issue: []

Answer 1

你定义

inputs = tf.keras.Input(shape=(299,299,3))

但是永远不要在 model 中使用这个变量。你可能只是想

inputs = model.inputs

因为您正在加载现有的 model，而不是创建新的。

Answer 2

解决了：

conv_layer = tf.keras.Model(inputs= model.get_layer('xception').inputs,outputs=model.get_layer('xception').get_layer('block14_sepconv2_act').output)

model 断开连接的原因，因此输入和 output 应该是相同的 model。