AttributeError: 'int' object has no attribute 'value'

[alikarimi120]

trafficstars

I copy and run this code(and copy images and model.py) :

from matplotlib import pyplot as plt import cv2 # used for resize. if you dont have it, use anything else import numpy as np from model import Deeplabv3 img = plt.imread("imgs/image1.jpg") print(img.shape) w, h, _ = img.shape ratio = 512. / np.max([w,h]) resized = cv2.resize(img,(int(ratioh),int(ratiow))) resized = resized / 127.5 - 1. new_deeplab_model = Deeplabv3(input_shape=(512,512,3), OS=16)

pad_x = int(512 - resized.shape[0]) resized2 = np.pad(resized,((0,pad_x),(0,0),(0,0)), mode='constant') res = new_deeplab_model.predict(np.expand_dims(resized2,0)) res_old = old_deeplab_model.predict(np.expand_dims(resized2,0)) labels = np.argmax(res.squeeze(),-1) labels_old = np.argmax(res_old.squeeze(),-1) plt.imshow(labels[:-pad_x]) plt.show() plt.imshow(labels_old[:-pad_x]) plt.show() `

but I get this error =>

ERROR:root:An unexpected error occurred while tokenizing input The following traceback may be corrupted or invalid The error message is: ('EOF in multi-line string', (1, 2))

---

TypeError Traceback (most recent call last) in () 26 # make prediction 27 deeplab_model = Deeplabv3() ---> 28 res = deeplab_model.predict(np.expand_dims(resized_image, 0)) 29 labels = np.argmax(res.squeeze(), -1) 30

10 frames /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/func_graph.py in wrapper(*args, **kwargs) 966 func_graph: A FuncGraph object to destroy. func_graph is unusable 967 after this function. --> 968 """ 969 # TODO(b/115366440): Delete this method when a custom OrderedDict is added. 970 # Clearing captures using clear() leaves some cycles around.

TypeError: in user code:

TypeError: tf__predict_function() missing 8 required positional arguments: 'x', 'batch_size', 'verbose', 'steps', 'callbacks', 'max_queue_size', 'workers', and 'use_multiprocessing'

[tempdeltavalue]

In my case problem was in inputs.shape[-1].value inside _inverted_res_block , so I just removed ".value" and everything worked (maybe for now :) ).