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are you using keras <a href="https://github.com/keras-team/keras/issues/10417" rel="ugc">https://github.com/keras-team/keras/issues/10417</a>
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are you using keras https://github.com/keras-team/keras/issues/10417 [https://github.com/keras-team/keras/issues/10417]

Bytech India

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we are using this link:<br />
<a href="https://heartbeat.fritz.ai/detecting-objects-in-videos-and-camera-feeds-using-keras-opencv-and-imageai-c869fe1ebcdb" rel="ugc">https://heartbeat.fritz.ai/detecting-objects-in-videos-and-camera-feeds-using-keras-opencv-and-imageai-c869fe1ebcdb</a><br />
<br />
Now we dont want to use Yolo3.h5 library, we are creating our own h5 file, so how do we create?
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we are using this link:
https://heartbeat.fritz.ai/detecting-objects-in-videos-and-camera-feeds-using-keras-opencv-and-imageai-c869fe1ebcdb [https://heartbeat.fritz.ai/detecting-objects-in-videos-and-camera-feeds-using-keras-opencv-and-imageai-c869fe1ebcdb]

Now we dont want to use Yolo3.h5 library, we are creating our own h5 file, so how do we create?

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<div class="content wysiwyg-content">
How to check layers in HDF5 file in machine learning generated for Object detection using ImageAI. <br />
<br />
We are getting below error message when trying to view :<br />
<br />
<b><i>ValueError: You are trying to load a weight file containing 0 layers into a model with 147 layers.</i></b><br />
<br />
Please guide, how we can generate layers and view them. <br />
<br />
Regards, <br />
Rajni
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How to check layers in HDF5 file in machine learning generated for Object detection using ImageAI. 

We are getting below error message when trying to view :

ValueError: You are trying to load a weight file containing 0 layers into a model with 147 layers.

Please guide, how we can generate layers and view them. 

Regards, 
Rajni

Checking HDF5 layers

Python is a widely used general-purpose, high-level programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than would be possible in other languages. Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive set of standard libraries, including NumPy, SciPy, Django, PyQuery, and PyLibrary.