3314_project

by jizhuoran Python Version: Current License: MIT

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

kandi X-RAY | 3314_project Summary

3314_project is a Python library. 3314_project has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However 3314_project build file is not available. You can download it from GitHub.

3314_project

Support

Quality

Security

License

Reuse

Support

3314_project has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

3314_project has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of 3314_project is current.

Quality

3314_project has 0 bugs and 0 code smells.

Security

3314_project has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

3314_project code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

3314_project is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

3314_project releases are not available. You will need to build from source code and install.

3314_project has no build file. You will be need to create the build yourself to build the component from source.

3314_project saves you 554 person hours of effort in developing the same functionality from scratch.

It has 1296 lines of code, 70 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 3314_project and discovered the below as its top functions. This is intended to give you an instant insight into 3314_project implemented functionality, and help decide if they suit your requirements.

Bulk detect face detection
Compute bounding box
Generate a bounding box for a given image
Compute the NMS of a box
Extract face from image
Create TMNN layer
Loads data from file
Detects the face of the image
Calculate the confidence interval between the given thresholds
Compute Euclidian distance between two embeddings
Calculate the val and distance from a threshold
Create an embedding vector
Loads a model
Calculate the ROC curve
Calculate accuracy
Train the model
Adds summaries for each loss
Get a batch of a triplets
Load image data
Parse command line arguments
Setup the network
Setup layers
Compute pairwise distances from embedding
Get a dataset from a path
Decorator to add a layer to the layer
Create input pipeline

Get all kandi verified functions for this library.

3314_project Key Features

No Key Features are available at this moment for 3314_project.

3314_project Examples and Code Snippets

No Code Snippets are available at this moment for 3314_project.

Community Discussions

No Community Discussions are available at this moment for 3314_project.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install 3314_project

You can download it from GitHub.
You can use 3314_project 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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