I have a problem when Downloading the ImageNet validation dataset on colab using wget command.
Using the official site inforced me to create an account which doesn't help me.
Is there a solution to download it or someone could share it with me ?
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I am trying to do the person detection using camera using tensorflow lite in spresense board. This is a sample program from sony developers in spresense website under examples of spresense sdk cli/gui examples for tensorflow lite.
Under this program they have made of examples/tf_person_detection to config. But when try to run this command , we are getting error as this file doesn't exist.
They have mentioned at the start to enable the tensorflow LM in Kconfig of spresense. We are not sure on how to exactly do that.
Can any please help us out here on how to create the tf_example file and configure the Kconfig with tensorflow LM.
Thank you
I am connecting to local run time in Google colab. I tried loading tensorboard. It does not give any error but I can only see a blank space. It works fine if I connect to hosted runtime in colab.
You can refer to this article and colab to setup tensorboard in Google Colab.
In some cases, the logdir you're pointing tensorboard to probably does not exist, Please check and make sure you are pointing to correct log directory. Thank you!
After successfully importing the notebook into colab, I try to run it, but failed. Can someone tell me what the problem is? Thanks.
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I have a Python file available under some URL, for example
https://gist.githubusercontent.com/messa/d19ad7fd4dc0f95df9caf984caef127c/raw/4d0daebdcfcf16ea3b7914ee6186bd98dbfb3c20/demo.py
In reality it will not be gist but some courseware/homework review software.
How can I open such URL using Google Colab so I can for example run the Python code?
I know I can build colab URL for Github gists or repositories, but can I do it for any arbitrary URL?
There is currently no way to do what you are asking for – to construct a URL that will cause Colab to automatically load the contents of a .py file at a particular URL into a new Colab notebook.
The closest thing to this is to host a notebook on github, and then use a Colab url to open it: e.g.
http://github.com/username/repository/path/to/notebook.ipynb can be opened in Colab using http://colab.research.google.com/github/username/repository/path/to/notebook.ipynb
http://gist.github.com/username/hash/filename.ipynb can be opened in Colab using http://colab.research.google.com/gist/username/hash/filename.ipynb
Tutorial on the github page for Tensorflow object detection API also has information on running the training on Google Cloud Platform.
But I need to run the training on AWS instance. I have the TFRecords files with me. Is there any tutorial etc available for same?Googling doesn't help much.I am new to AWS.
You need to launch an instance which already has Tensorflow installed on it. AWS has prepared AMIs for that.
see here: https://aws.amazon.com/tensorflow/
Then you just upload anything to the instance and run the script.