CloneHub94

Thanks for your response.Just a small follow up question if you don't mind. How does the algorithm determine whether to use a depth-limit and how deep or to search to...

I also get this error. Citing an error 500(Internal server error) when I print response  :

This is the code inside my training.py file: import os from nanonets import OCR API_KEY = os.environ.get('NANONETS_API_KEY') CATEGORIES = ['name', 'sex', 'date_of_birth', 'address', 'dl_number', 'issue_date', 'exp_date', 'class', 'height', 'restrictions', 'eyes']...

I have the same problem but when I modify from Python 3.8.5 to 3.6 I get the following error: Traceback (most recent call last): File "D:\Maurice_Doc\AI\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 64, in from...

In the meantime I solve it by using colab for my object detection. But I would like to be able to use my pc as well

These are the results that I get when I lookup my tensorflow installation. Is there something that is missing? 

This is the results I get: 

No, unfortunatly. Just using colab for the moment and hopping that the inference part of tensorflow object detection does work on my computer

@dademiller360 The problem is if we do that we get the error mentioned earlier ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from....