SSD_EfficientNet | SSD using TensorFlow object detection API | Computer Vision library

by CasiaFan Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | SSD_EfficientNet Summary

SSD_EfficientNet is a Python library typically used in Artificial Intelligence, Computer Vision, Tensorflow applications. SSD_EfficientNet has no bugs, it has no vulnerabilities and it has low support. However SSD_EfficientNet build file is not available. You can download it from GitHub.

SSD using TensorFlow object detection API with EfficientNet backbone

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Quality

Security

License

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Support

SSD_EfficientNet has a low active ecosystem.

It has 63 star(s) with 8 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 12 open issues and 4 have been closed. On average issues are closed in 4 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SSD_EfficientNet is current.

Quality

SSD_EfficientNet has 0 bugs and 0 code smells.

Security

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

SSD_EfficientNet code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

SSD_EfficientNet 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

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

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

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Builds blocks
Round filters
Return the number of repeats
Construct a BatchNormalization layer
Build a model
Decodes a list of blocks
Return a list of parameters for efficient training
Get model parameters
Builds the keras model
Call the model
Build a keras model
Encode the given blocks
Encode a block
Call function
Call stem layers
Connects the convolution layer
Build the model
Build the Keras model
Wrapper for squeeze

Get all kandi verified functions for this library.

SSD_EfficientNet Key Features

No Key Features are available at this moment for SSD_EfficientNet.

SSD_EfficientNet Examples and Code Snippets

No Code Snippets are available at this moment for SSD_EfficientNet.

Community Discussions

Trending Discussions on SSD_EfficientNet

finetuning EfficientDet-D0 from model zoo on PASCALVOC doesn't recognize class label 1 (TensorFlow Object Detection API)

QUESTION

finetuning EfficientDet-D0 from model zoo on PASCALVOC doesn't recognize class label 1 (TensorFlow Object Detection API)

Asked 2021-Aug-04 at 10:21

I've downloaded the EfficientDet D0 512x512 model from the object detection API model zoo, downloaded the PASCAL VOC dataset and preprocessed it with the create_pascal_tf_record.py file. Next I took one of the config files and adjusted it to fit the architecture and VOC dataset. When evaluating the resulting network with the pascal_voc_detection_metrics it gives me a near zero mAP for the first class (airplane), the other classes are performing fine. I'm assuming one of my settings in the config file is wrong (pasted down below), why does this happen and how do i fix this?

...

ANSWER

Answered 2021-Aug-04 at 10:21

There is a bug in the way pascal_voc_detection_metrics calculates the metric, fix can be found here

Source https://stackoverflow.com/questions/68634511

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

Vulnerabilities

No vulnerabilities reported

Install SSD_EfficientNet

Python 3.X
TensorFlow 1.13.1 (Use current version 1.14 would cause a wired dimension mismatch caused by se-expand operation in se block.)
TensorFlow Models master branch
Protoc 3.5.7

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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