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How can I get *.modal file?

See original GitHub issue

I am unable to generate a modal file, how can I generate this modal file, here are the logs

C:\Users\bewit\miniconda3\python.exe C:/Users/bewit/Downloads/sudoku-solver-master/
Traceback (most recent call last):
  File "C:/Users/bewit/Downloads/sudoku-solver-master/", line 14, in <module>
    model = load_model('model/best_model_lenet_aug_loss_3.model')
  File "C:\Users\bewit\miniconda3\lib\site-packages\tensorflow_core\python\keras\saving\", line 149, in load_model
  File "C:\Users\bewit\miniconda3\lib\site-packages\tensorflow_core\python\saved_model\", line 83, in parse_saved_model
OSError: SavedModel file does not exist at: model/best_model_lenet_aug_loss_3.model/{saved_model.pbtxt|saved_model.pb}

Process finished with exit code 1

Issue Analytics

  • State:open
  • Created 3 years ago
  • Comments:8

github_iconTop GitHub Comments

avasidcommented, Jul 22, 2020

@bewithdhanu EnglishImg is a dataset, not a model. Extract the tgz archive in /model directory, which should result in a /model/English directory. After that, run the following script/code from the /model directory,

import os
from shutil import copy
dirs = sorted(os.listdir("./English/Img/GoodImg/Bmp/"))[1:10]
os.makedirs("./data", exist_ok=True)
for i,dir in enumerate(dirs,1):
    i = str(i)
    dir_path = os.path.join("./English/Img/GoodImg/Bmp/",dir)
    files = os.listdir(dir_path)
    for fil in files:

This should result in a data folder in /model. Now first run which will train and save a model. And then run

ngtrphuongcommented, Aug 10, 2020

The trained model did not work as expected, The digit recognizer works quite messy,

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