yolo_truck | 用yolo2来识别车辆 identify vehicles with yolo2

by sanfooh Python Version: Current License: No License

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

kandi X-RAY | yolo_truck Summary

yolo_truck is a Python library. yolo_truck has no bugs, it has no vulnerabilities and it has low support. However yolo_truck build file is not available. You can download it from GitHub.

yolo_truck

Support

Quality

Security

License

Reuse

Support

yolo_truck has a low active ecosystem.

It has 38 star(s) with 30 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

yolo_truck has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of yolo_truck is current.

Quality

yolo_truck has 0 bugs and 0 code smells.

Security

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

yolo_truck code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

yolo_truck 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

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

yolo_truck 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.

yolo_truck saves you 176 person hours of effort in developing the same functionality from scratch.

It has 435 lines of code, 20 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Download an image .
Process an image .
Start classifier from terminal .
Run network detection .
Classify image .
Draw the rectangles
Wrapper around open_orient_pil .
Sample the probability distribution .
Opens a PIL image .
Return a HTML representation of an image .

Get all kandi verified functions for this library.

yolo_truck Key Features

No Key Features are available at this moment for yolo_truck.

yolo_truck Examples and Code Snippets

No Code Snippets are available at this moment for yolo_truck.

Community Discussions

No Community Discussions are available at this moment for yolo_truck.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install yolo_truck

You can download it from GitHub.
You can use yolo_truck 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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