TIANCHI_XUELANG_AI | 天池雪浪布匹瑕疵检测,初赛线上949,排名9/2403
kandi X-RAY | TIANCHI_XUELANG_AI Summary
kandi X-RAY | TIANCHI_XUELANG_AI Summary
TIANCHI_XUELANG_AI is a Python library. TIANCHI_XUELANG_AI has no bugs, it has no vulnerabilities and it has low support. However TIANCHI_XUELANG_AI build file is not available. You can download it from GitHub.
天池雪浪布匹瑕疵检测,初赛线上949,排名9/2403
天池雪浪布匹瑕疵检测,初赛线上949,排名9/2403
Support
Quality
Security
License
Reuse
Support
TIANCHI_XUELANG_AI has a low active ecosystem.
It has 166 star(s) with 73 fork(s). There are 6 watchers for this library.
It had no major release in the last 6 months.
There are 3 open issues and 11 have been closed. On average issues are closed in 11 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of TIANCHI_XUELANG_AI is current.
Quality
TIANCHI_XUELANG_AI has 0 bugs and 43 code smells.
Security
TIANCHI_XUELANG_AI has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
TIANCHI_XUELANG_AI code analysis shows 0 unresolved vulnerabilities.
There are 10 security hotspots that need review.
License
TIANCHI_XUELANG_AI 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
TIANCHI_XUELANG_AI releases are not available. You will need to build from source code and install.
TIANCHI_XUELANG_AI has no build file. You will be need to create the build yourself to build the component from source.
TIANCHI_XUELANG_AI saves you 325 person hours of effort in developing the same functionality from scratch.
It has 781 lines of code, 30 functions and 8 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed TIANCHI_XUELANG_AI and discovered the below as its top functions. This is intended to give you an instant insight into TIANCHI_XUELANG_AI implemented functionality, and help decide if they suit your requirements.
- Augment the image
- Calculate the cutout of the image
- Crop bboxes
- Flips in bboxes
- Add noise to img
- Change light of image
- Train a model
- Adds a new softmax layer
- Compile the model
- Return a fixed crossentropy
- Get callbacks from filepath
- Predict the model
- Parse an xml file
Get all kandi verified functions for this library.
TIANCHI_XUELANG_AI Key Features
No Key Features are available at this moment for TIANCHI_XUELANG_AI.
TIANCHI_XUELANG_AI Examples and Code Snippets
No Code Snippets are available at this moment for TIANCHI_XUELANG_AI.
Community Discussions
No Community Discussions are available at this moment for TIANCHI_XUELANG_AI.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install TIANCHI_XUELANG_AI
You can download it from GitHub.
You can use TIANCHI_XUELANG_AI 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.
You can use TIANCHI_XUELANG_AI 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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