yolo2 | Train YOLOv2 object detector from scratch using Tensorflow | Machine Learning library

by wojciechmo Python Version: Current License: No License

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

kandi X-RAY | yolo2 Summary

yolo2 is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. yolo2 has no bugs, it has no vulnerabilities and it has low support. However yolo2 build file is not available. You can download it from GitHub.

Train YOLOv2 object detector from scratch using Tensorflow.

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yolo2 has a low active ecosystem.

It has 141 star(s) with 46 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 13 open issues and 1 have been closed. On average issues are closed in 354 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of yolo2 is current.

Quality

yolo2 has 0 bugs and 0 code smells.

Security

yolo2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

yolo2 code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

yolo2 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

yolo2 releases are not available. You will need to build from source code and install.

yolo2 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.

It has 489 lines of code, 35 functions and 4 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed yolo2 and discovered the below as its top functions. This is intended to give you an instant insight into yolo2 implemented functionality, and help decide if they suit your requirements.

Create a TFRecord
Convert ROI coordinates to label
Returns the indices of the active anchors
Read csv file
Compute the intersection of two circles
Calculate grid coordinates
Read anchors file
Compute the non - maximization of the classification
Compute the intersection between two points
Preprocess yolo output
Computes the softmax of x
Sigmoid function
Draw the objects in the given image
Read labels file
Reads anchors file

Get all kandi verified functions for this library.

yolo2 Key Features

No Key Features are available at this moment for yolo2.

yolo2 Examples and Code Snippets

No Code Snippets are available at this moment for yolo2.

Community Discussions

Trending Discussions on yolo2

DL4J-Image become too bright

Do not bind a file entry in Bind to wx. Button buttons in the loop

Understanding How YOLO is trained

QUESTION

DL4J-Image become too bright

Asked 2021-Oct-14 at 08:21

Currently, I've been asked to write CNN code using DL4J using YOLOv2 architecture. But the problem is after the model has complete, I do a simple GUI for validation testing then the image shown is too bright and sometimes the image can be displayed. Im not sure where does this problem comes from whether at earliest stage of training or else. Here, I attach the code that I have for now. For Iterator:

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ANSWER

Answered 2021-Oct-14 at 08:01

CanvasFrame tries to do gamma correction by default because it's typically needed by cameras used for CV, but cheap webcams usually output gamma corrected images, so make sure to let CanvasFrame know about it this way:

Source https://stackoverflow.com/questions/69566911

QUESTION

Do not bind a file entry in Bind to wx. Button buttons in the loop

Asked 2020-Jun-19 at 19:49

Greetings to the respected community!

I have the following task: I need to create a panel with buttons whose names are taken from the file (all_classes). When clicking on each label, the buttons must be recorded in another file (chosen_classes). I managed to create buttons in the loop and arrange them on the panel, but the recording event to the button is not tied and I do not understand why.

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ANSWER

Answered 2020-Jun-19 at 19:49

You have managed to over complicate your solution a bit.
The use of a sizer will make this easier and because the only event being fired is a button event and they all do the same thing, we only need to bind it once.
Pick the bones out of the following, it should help.

Source https://stackoverflow.com/questions/62475230

QUESTION

Understanding How YOLO is trained

Asked 2020-Mar-29 at 12:44

I'm trying to understand how YOLO (v2) is trained. To do so, I'm using this keras implementation https://github.com/experiencor/keras-yolo2 to train YOLO from scratch on VOC dataset (I'm open to other implementation, but I never worked with pytorch, so, keras implementation will be first choice).

1- As I understood YOLO, it is first trained for classification on imageNet, then these trained weights (for classification) should be use somewhere when training yolo for regression (to detect bounding boxes). In most code I found on internet to train yolo from scratch (for regression), I don't see the part where these classification weight are loaded. When does this happen? when are the classification weights used in training yolo regression?

2- Is my understanding as described in 1) correct?

Thanks in advance

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ANSWER

Answered 2020-Mar-27 at 11:12

I will address the 2nd part of your question first

In Object detection when an image is labelled, a label file is generated that contains the bounding box co-ordinates and the classification/class of the object/objects.

In experiencor code the pre-trained weights that are loaded are not classification weights but they have both co-ordinates as well as class names for objects in each image converted into weights. Once you have them or train the model from scratch using the label files, the model gets trained using both the images and the corresponding label file containing bounding box co-ordinates and class names for the objects in the images.

So here classification and regression training happens together.

Feel free to comment if you have doubts and give tick if it answers your question.

Source https://stackoverflow.com/questions/60881576

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

Vulnerabilities

No vulnerabilities reported

Install yolo2

You can download it from GitHub.
You can use yolo2 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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