YOLO_Object_Detection | YOLO Object Detection '' by Siraj Raval | Computer Vision library

by llSourcell Python Version: Current License: GPL-3.0

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

kandi X-RAY | YOLO_Object_Detection Summary

YOLO_Object_Detection is a Python library typically used in Artificial Intelligence, Computer Vision applications. YOLO_Object_Detection has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has medium support. You can download it from GitHub.

This is the code for "YOLO Object Detection" by Siraj Raval on Youtube

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Quality

Security

License

Reuse

Support

YOLO_Object_Detection has a medium active ecosystem.

It has 1683 star(s) with 803 fork(s). There are 123 watchers for this library.

It had no major release in the last 6 months.

There are 24 open issues and 7 have been closed. On average issues are closed in 233 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of YOLO_Object_Detection is current.

Quality

YOLO_Object_Detection has 0 bugs and 0 code smells.

Security

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

YOLO_Object_Detection code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

YOLO_Object_Detection is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

YOLO_Object_Detection saves you 1194 person hours of effort in developing the same functionality from scratch.

It has 2692 lines of code, 169 functions and 36 files.

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

Top functions reviewed by kandi - BETA

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

Iterate over the layer layers and generate configuration .
Prints the loss
capture source file
batch images .
Parses the annotations .
Parse model file .
Predict the input image .
Post process results .
Parses the command line arguments .
Run train .

Get all kandi verified functions for this library.

YOLO_Object_Detection Key Features

No Key Features are available at this moment for YOLO_Object_Detection.

YOLO_Object_Detection Examples and Code Snippets

No Code Snippets are available at this moment for YOLO_Object_Detection.

Community Discussions

Trending Discussions on YOLO_Object_Detection

OpenCV implementation of YOLO v3 reproduces Exception on a GCP instance

ModuleNotFoundError: No module named darkflow.cli and 'nms'

Probability index yolov2 darknet openCV3.4

QUESTION

OpenCV implementation of YOLO v3 reproduces Exception on a GCP instance

Asked 2019-Jun-26 at 12:25

I have successfully implemented object detection from video using YOLO v3 model from OpenCV 4.0.0.21. It is running successfully on a local machine, so I wanted to test it on a Google Cloud Platform instance.

I've cloned my project, built OpenCV from source and launched YOLO v3 object detection. Though, this time I've caught an exception on the Darknet initialization step:

net = cv2.dnn.readNetFromDarknet(cfg_path, weights_path)

Here is also the traceback:

...

ANSWER

Answered 2019-Feb-25 at 15:55

I am not completely sure but looks like the yolov3.weights file is not getting stored correctly on Github(reason maybe its over 100MB). But getting a different weights file worked for me:

Source https://stackoverflow.com/questions/54785928

QUESTION

ModuleNotFoundError: No module named darkflow.cli and 'nms'

Asked 2018-Sep-03 at 22:07

I am trying out YOLO tutorial at https://github.com/llSourcell/YOLO_Object_Detection

When I do the step:

...

ANSWER

Answered 2018-Aug-22 at 08:36

Both problems are discussed at the issue tracker.

*ImportError: No module named darkflow.cli

https://github.com/llSourcell/YOLO_Object_Detection/issues/3

You have to build the cython modules:

Source https://stackoverflow.com/questions/51960985

QUESTION

Probability index yolov2 darknet openCV3.4

Asked 2018-Mar-02 at 13:46

I'm refer to https://github.com/opencv/opencv/blob/master/samples/dnn/yolo_object_detection.cpp

What is meant by line # 136?

...

ANSWER

Answered 2018-Mar-02 at 13:46

YOLO models, at least YoloV2voc and TinyYoloV2voc, produce output matrices of shape Nx(C+4) where N is a number of detections, C is a number of classes (including background), 4 is a vector [centerX, centerY, width, height]. So classification confidences start from 5th element.

Source https://stackoverflow.com/questions/49034617

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

Vulnerabilities

No vulnerabilities reported

Install YOLO_Object_Detection

You can choose one of the following three ways to get started with darkflow.
Just build the Cython extensions in place. NOTE: If installing this way you will have to use ./flow in the cloned darkflow directory instead of flow as darkflow is not installed globally. python3 setup.py build_ext --inplace
Let pip install darkflow globally in dev mode (still globally accessible, but changes to the code immediately take effect) pip install -e .
Install with pip globally pip install .

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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