labelme2coco | create custom COCO data set for instance | Machine Learning library

by Tony607 Jupyter Notebook Version: V0.1 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | labelme2coco Summary

labelme2coco is a Jupyter Notebook library typically used in Artificial Intelligence, Machine Learning applications. labelme2coco has no bugs, it has no vulnerabilities and it has low support. However labelme2coco has a Non-SPDX License. You can download it from GitHub.

How to create custom COCO data set for instance segmentation

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Security

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Support

labelme2coco has a low active ecosystem.

It has 87 star(s) with 91 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

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

It has a neutral sentiment in the developer community.

The latest version of labelme2coco is V0.1

Quality

labelme2coco has 0 bugs and 0 code smells.

Security

labelme2coco has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

labelme2coco code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

labelme2coco has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

labelme2coco releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

It has 126 lines of code, 11 functions and 1 files.

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

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labelme2coco Key Features

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labelme2coco Examples and Code Snippets

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Community Discussions

Trending Discussions on labelme2coco

Json file is save like a folder rather than a file

Unable to Load Images to train model on Custom Datasets

When I run train.py with YOLACT, I get the error KeyError: 0

QUESTION

Json file is save like a folder rather than a file

Asked 2022-Feb-18 at 19:01

I'm using pixellib package to run machine learning, and when I run my program there is a proccess to create coco dataset with name: train.json. But a folder with train.json is created wrongly and inside this folder there is a file dataset.json, this the file that I need. There is something wrong with the proccess, I found the command that made the coco dataset inside pixellib:

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ANSWER

Answered 2022-Feb-18 at 19:01

The new version didn't work. I used an old version and now is working.

Source https://stackoverflow.com/questions/71175202

QUESTION

Unable to Load Images to train model on Custom Datasets

Asked 2020-Nov-04 at 06:58

I have just stuck with Image Instance Segmentation for a while. I am trying to train the Yolact model for my custom data. Here is some brief information about what I have done so far

I have annotated the image using labelme annotation tool
I have converted annotation file for each (train & validation data) using labelme2coco -> train.json & test.json
I made changes in the cofig.py file as needed and expected by yolact
As I was following this repository I encountered an error Argument 'bb' has incorrect type to which I have solved with the approach stated in this closed issue

After completing the above task I am stuck here with below-stated issue.

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ANSWER

Answered 2020-Nov-04 at 06:58

You mispelled your folder names :) YolaDataset needs to be renamed to YolactDataset

Source https://stackoverflow.com/questions/64605776

QUESTION

When I run train.py with YOLACT, I get the error KeyError: 0

Asked 2020-Oct-23 at 15:44

I'm new to machine learning and program. Now I'm trying to develop YOLACT AI using my own data. However, when I run train.py, I get the following error and cannot learn. What can I do to overcome this error?`

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ANSWER

Answered 2020-Oct-19 at 09:47

Your class id in annotations.json should start from 1 not 0. If they are starting from 0, try this in config.py in your "my_custom_dataset" in label map add this

Source https://stackoverflow.com/questions/64420059

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

Vulnerabilities

No vulnerabilities reported

Install labelme2coco

Then you can run the labelme2coco.py script to generate a COCO data formatted JSON file for you. Then you can run the following Jupyter notebook to visualize the coco annotations. COCO_Image_Viewer.ipynb. Further instruction on how to create your own datasets, read the tutorial.

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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