vehicle_counting_tensorflow | project provides prediction for speed , color and size | Machine Learning library

by ahmetozlu Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | vehicle_counting_tensorflow Summary

vehicle_counting_tensorflow is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, OpenCV applications. vehicle_counting_tensorflow has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

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vehicle_counting_tensorflow has a medium active ecosystem.

It has 790 star(s) with 348 fork(s). There are 44 watchers for this library.

It had no major release in the last 6 months.

There are 28 open issues and 49 have been closed. On average issues are closed in 130 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of vehicle_counting_tensorflow is current.

Quality

vehicle_counting_tensorflow has 0 bugs and 13 code smells.

Security

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

vehicle_counting_tensorflow code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

vehicle_counting_tensorflow 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

vehicle_counting_tensorflow 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.

vehicle_counting_tensorflow saves you 371 person hours of effort in developing the same functionality from scratch.

It has 886 lines of code, 35 functions and 15 files.

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

Top functions reviewed by kandi - BETA

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

Visualize boxes and labels
Draw a bounding box on an image
Draws a bounding box on an image
Draw a mask on an image
Draw keypoints on an image
Load a label map
Loads the label map
Validate label map
Create a category index from a label map
Convert a label map to a list of categories
Create a category index
Find k nearest neighbors
Calculate the Euclidean distance between two variables
Load training images
Computes the color histogram of a training image
Creates a video object based on the given command
Loads a dataset
Draws bounding boxes on an image
Find the response of a given neighbor

Get all kandi verified functions for this library.

vehicle_counting_tensorflow Key Features

No Key Features are available at this moment for vehicle_counting_tensorflow.

vehicle_counting_tensorflow Examples and Code Snippets

No Code Snippets are available at this moment for vehicle_counting_tensorflow.

Community Discussions

Trending Discussions on vehicle_counting_tensorflow

Python: TypeError: an integer is required (got type module)

How to make ROI line in open cv movable or let user draw it with his mouse

QUESTION

Python: TypeError: an integer is required (got type module)

Asked 2020-Apr-29 at 08:26

i have small code to read all image on folder and send them to current API alternately. but this code doesn't work yet, how to solve this problem. thankyou.

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ANSWER

Answered 2020-Apr-29 at 08:26

The problem is here: cv2.imread(temp_file , source_image), you're passing two arguments to the imread() function where only one is needed. Try: cv2.imread(temp_file) given that temp_file is the correct path to the image file you want to load.

Note: the second argument that you can pass to the imread(path, flag) function is flag which specifies the way in which image should be read. It’s default value is cv2.IMREAD_COLOR

Source https://stackoverflow.com/questions/61496780

QUESTION

How to make ROI line in open cv movable or let user draw it with his mouse

Asked 2019-Jan-20 at 09:41

i am using this as base for making a better vehicle counter but the roi line is hard coded in the middle of the screen: cv.line(input_frame, (0, int(height/2)), (int (width), int(height/2)), (0, 0xFF, 0), 5) like this and i am looking for a way two make it dynamic or by letting user draw which if find only tutorials and answers for rectangles or make it movable by mouse clicks for going up and down in the screen. Thank you in advance.

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ANSWER

Answered 2019-Jan-20 at 09:41

Take a look here You need to capture your mouse coordinates and then use cv.line

Source https://stackoverflow.com/questions/54271706

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

Vulnerabilities

No vulnerabilities reported

Install vehicle_counting_tensorflow

Docker setup with Nvidia GPU: Run the demo in the GPU without installing anything, just nvidia-docker. The command to set up this docker:.
Python 3.3+
imshow : shows the processed frames as an video on screen.
imwrite : saves the processed frames as an output video in the project root folder.

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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