colab_utils | assorted utils for use | Game Engine library

by mixuala Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | colab_utils Summary

colab_utils is a Python library typically used in Gaming, Game Engine, Tensorflow, Unity applications. colab_utils has no bugs, it has no vulnerabilities and it has low support. However colab_utils build file is not available. You can download it from GitHub.

This repository ontains useful scripts for adding common services to non-persistent colaboratory VM sessions.

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Quality

Security

License

Reuse

Support

colab_utils has a low active ecosystem.

It has 325 star(s) with 54 fork(s). There are 17 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 3 have been closed. On average issues are closed in 51 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of colab_utils is current.

Quality

colab_utils has 0 bugs and 0 code smells.

Security

colab_utils has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

colab_utils code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

colab_utils does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

colab_utils releases are not available. You will need to build from source code and install.

colab_utils has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

colab_utils saves you 181 person hours of effort in developing the same functionality from scratch.

It has 448 lines of code, 28 functions and 3 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed colab_utils and discovered the below as its top functions. This is intended to give you an instant insight into colab_utils implemented functionality, and help decide if they suit your requirements.

Install gcsfuse
List files in GCSutil
Execute a shell command
Return project name
Return a config object
Run gcsutil mb
Runs after_run
Saves training data to a bucket
Return the elapsed time as a string
Get step number from latest checkpoint
Save checkpoint to bucket
Upload a file to GCS
Load the latest checkpoint from a bucket
Load data from a tar gz file
Download a file from GCS
Launch tensorboard
Install ngrok
Authenticate Google Cloud

Get all kandi verified functions for this library.

colab_utils Key Features

No Key Features are available at this moment for colab_utils.

colab_utils Examples and Code Snippets

No Code Snippets are available at this moment for colab_utils.

Community Discussions

Trending Discussions on colab_utils

Converting SSD object detection model to TFLite and quantize it from float to uint8 for EdgeTPU

Model is not been training when tf.Session() is used

QUESTION

Converting SSD object detection model to TFLite and quantize it from float to uint8 for EdgeTPU

Asked 2021-May-21 at 10:11

I am having problems converting a SSD object detection model into a uint8 TFLite for the EdgeTPU.

As far as I know, I have been searching in different forums, stack overflow threads and github issues and I think I am following the right steps. Something must be wrong on my jupyter notebook since I can't achive my proposal.

I am sharing with you my steps explained on a Jupyter Notebook. I think it will be more clear.

...

ANSWER

Answered 2021-May-04 at 08:17

The process, as @JaesungChung answered is well done.

My problem was on the application which was running the .tflite model. I quantized my model output to uint8, so I had to reescale my obtained values to get the right results.

I.e. I had 10 objects because I was requesting all the detected objects with an score above 0.5. My results were no scaled, so the detected objects scores could be perfectly 104. I had to reescale that number dividing by 255.

The same happened when graphing my results. So I had to divide that number and multiplicate by the height and width.

Source https://stackoverflow.com/questions/67330342

QUESTION

Model is not been training when tf.Session() is used

Asked 2020-Apr-09 at 17:11

I am new to TensorFlow and Keras. I am trying to understand GANs using TF 1.x (using this repo https://github.com/hse-aml) and I have trouble with the below function which has been used to create a session. My problem is what exactly this function is doing (why can not we use tf.Session() alone). When I use tf.Session(), the model was not been training.

...

ANSWER

Answered 2020-Apr-09 at 17:11

Documentation here

The only difference between Session and an InteractiveSession is that InteractiveSession makes itself the default session so that you can call run() or eval() without explicitly calling the session.

This can be helpful if you experiment with TF in python shell or in Jupyter notebooks, because it avoids having to pass an explicit Session object to run operations.

So if you use just tf.Session you would need to make it the default session as well.

Source https://stackoverflow.com/questions/61093438

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install colab_utils

You can download it from GitHub.
You can use colab_utils like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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