cvlib | high level , easy to use , open source Computer Vision library | Computer Vision library

by arunponnusamy Python Version: 0.2.7 License: MIT

X-Ray Key Features Code Snippets(9)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | cvlib Summary

cvlib is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, OpenCV applications. cvlib has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. However cvlib has 1 bugs. You can install using 'pip install cvlib' or download it from GitHub, PyPI.

A simple, high level, easy-to-use open source Computer Vision library for Python.

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Quality

Security

License

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Support

cvlib has a highly active ecosystem.

It has 471 star(s) with 108 fork(s). There are 28 watchers for this library.

It had no major release in the last 12 months.

There are 24 open issues and 15 have been closed. On average issues are closed in 141 days. There are no pull requests.

It has a negative sentiment in the developer community.

The latest version of cvlib is 0.2.7

Quality

cvlib has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 10 code smells.

Security

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

cvlib code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

cvlib 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

cvlib releases are available to install and integrate.

Deployable package is available in PyPI.

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

Installation instructions are not available. Examples and code snippets are available.

cvlib saves you 270 person hours of effort in developing the same functionality from scratch.

It has 666 lines of code, 16 functions and 20 files.

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

Top functions reviewed by kandi - BETA

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

Detect common objects
Download a file from a URL
Populate the class labels
Get the list of output layers
Detect objects from an image
Draw a bounding box
Detect gender of a given face
Detects the gender of a given face

Get all kandi verified functions for this library.

cvlib Key Features

No Key Features are available at this moment for cvlib.

cvlib Examples and Code Snippets

Open CV Car Detection with conditions

Python

Lines of Code : 31

License : Strong Copyleft (CC BY-SA 4.0)

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import cv2
import matplotlib.pyplot as plt
# pip install cvlib
import cvlib as cv
from cvlib.object_detection import draw_bbox


im = cv2.imread('cars3.jpg')

#cv2.imshow("cars", im)
#cv2.waitKey(0)

bbox, label, conf = cv.detect_common_ob

multi-threading, what is wrong with my code

Python

Lines of Code : 27

License : Strong Copyleft (CC BY-SA 4.0)

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self.stream = cv2.VideoCapture(0)

self.status, self.frame = webcam.read()

self.status, self.frame = self.stream.read()

def read_stream(self):
    while not self.sto

Make faster videocapture opencv

Python

Lines of Code : 64

License : Strong Copyleft (CC BY-SA 4.0)

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class OCR:

    # def __init__(self, exchange: VideoStream, language=None):
    def __init__(self):
        self.exchange = None
        # init stuff for OCR not relevant to my example, but note that it 
        # takes a VideoStream class

Output OpenCv to virtual camera in Python

Python

Lines of Code : 3

License : Strong Copyleft (CC BY-SA 4.0)

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fmt = pyvirtualcam.PixelFormat.BGR
with pyvirtualcam.Camera(1280, 720, 20, fmt=fmt) as camera:

Nothing is being detected in Yolov3 Tensorflow

Python

Lines of Code : 4

License : Strong Copyleft (CC BY-SA 4.0)

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im =cv2.imread("C:\\Users\\gmobi\\PycharmProjects\\ComputerVisionStudent\\imagens\\carros.jpeg")

im = cv2.cvtColor(im, cv2.COLOR_BGR2RGB)

Tensorflow - Batch predict on multiple images

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

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maskPreds = model.predict(np.vstack(faces))

How to check if these is no face detected using cvlib

Python

Lines of Code : 13

License : Strong Copyleft (CC BY-SA 4.0)

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# loop through detected faces and add bounding box
for face in faces:
    (startX,startY) = face[0],face[1]
    (endX,endY) = face[2],face[3]
    cv2.rectangle(frame, (startX,startY), (endX,endY), (0,255,0), 2)
    crop_img = frame[startY-

How to check if these is no face detected using cvlib

Python

Lines of Code : 17

License : Strong Copyleft (CC BY-SA 4.0)

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if len(faces) == 0:
   print('no faces')
   print(faces) # going to print 0
else:
   for face in faces:
       (startX,startY) = face[0],face[1]
       (endX,endY) = face[2],face[3]
       crop_img = frame[startY-5:endY-5, startX-5:endX-5]

OpenCV Rectangle Filled

Python

Lines of Code : 23

License : Strong Copyleft (CC BY-SA 4.0)

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def draw_bbox(img, bbox, labels, confidence, colors=None, write_conf=False):

    global COLORS
    global classes

    if classes is None:
        classes = populate_class_labels()

    for i, label in enumerate(labels):

        if color

Community Discussions

Trending Discussions on cvlib

cvlib detect common objects function doesn't work

Using Python- How to resize a cropped image to meet an aspect ratio while not exceeding original image size

How can I count number of stomata in the microscopic image of leaf using Python and Opencv?

multi-threading, what is wrong with my code

Make faster videocapture opencv

Output OpenCv to virtual camera in Python

Bounding box detection for characters / digits

Install cvlib package in python 3.9

opencv doesn't use all GPU memory

Use GPU with opencv-python

QUESTION

cvlib detect common objects function doesn't work

Asked 2022-Feb-07 at 04:18

I'm new to cvlib module.....

I tried to use the detect_common_objects function from cvlib module but hit the error below. I'm using cvlib version 0.2.7 and cv2 version 4.5.3.

...

ANSWER

Answered 2022-Feb-07 at 04:18

Try with the latest version of OpenCV (4.5.5.62). You can upgrade the package to the newest version as below

Source https://stackoverflow.com/questions/71012197

QUESTION

Using Python- How to resize a cropped image to meet an aspect ratio while not exceeding original image size

Asked 2021-Dec-21 at 12:29

Iam using an object detection algorithm to detect objects in an image. The code is as below. Image used is of a car as below.

I would like to crop the original image to keep only the object detected in the image PLUS whatever is necessary to maintain aspect ratio between 4/3 and 16/9.

The box around the car is already deduced from below algorithm [variable is box] and the image dimensions are [variable is height,width] in below code.

If we were to do this manually, it would be cumbersome due to the multiple iterations required, as an example: we have to ensure that resizing does not extend beyond the original image size.

There are 3 images included below, the original image, the modified image with car detected, and the resized image to meet a aspect ratio range.(4/3 to 16/9)

Is there an existing function within python to accomplish this task. Hence, resizing/increasing box dimensions from [91, 90, 226, 158] to the minimum necessary amount to be within the limits of original image size 183x275 while maintaining the aspect ratio

Thanks in advance.

CODE:

...

ANSWER

Answered 2021-Dec-21 at 12:29

The below code crops the image to required coordinates, then increases its size to match the aspect ratio depending if its >16/9 or <4/3. Advantage of this method is that it will not crop the centre object (car) when it resizes the image and corrects aspect ratio, and will increase left side of image if there is no space to increase in right side (and viceversa,for height and width) to achieve the Aspect ratio

Source https://stackoverflow.com/questions/70432536

QUESTION

How can I count number of stomata in the microscopic image of leaf using Python and Opencv?

Asked 2021-Aug-18 at 07:24

I want to count the number of stomata in the microscopic images of leaves. One of the samples is attached below. The stomata is characterized by oval shape in general with thick black lining in between. Since I have many images, I want to automate the process. I am familiar with Python but quite novice to computer vision.

With some code, I was able to count the number of cars in an image. However, it did not work with the image of the leaf for me. The sample code is given below:

...

ANSWER

Answered 2021-Aug-18 at 07:24

I hope I understood what you mean by the word stomata :)

Source https://stackoverflow.com/questions/68823869

QUESTION

multi-threading, what is wrong with my code

Asked 2021-Apr-08 at 19:57

I was trying to make faster my frames in opencv, it was so slow using it normal, so I decided to ask it here Make faster videocapture opencv the answer was to use multi threading to make it faster, so I code it like this

...

ANSWER

Answered 2021-Apr-08 at 19:57

Your VideoStream class's init looks ok, but I think you might have better luck creating a cv2 VideoCapture object in the init as well:

Source https://stackoverflow.com/questions/67010610

QUESTION

Make faster videocapture opencv

Asked 2021-Apr-07 at 20:30

So I create a Neural Network(CNN) that can predict in real-time using opencv the gender of a person, everything works perfect, but, when I run the code OpenCv has so much lag, my webcam is not that bad, here is my code

...

ANSWER

Answered 2021-Apr-07 at 20:30

I've had this same problem using openCV video capture with text-detection. It's not the webcam quality, but the fact that openCV can only show you frames as fast as you can process them in your gender detection. The solution that worked for me is to use multi-threading.

You can create a thread for the OpenCV video capture, then another thread for your image processing. The caveat: you can't magically make your image processing happen quicker without making changes the image process itself. It takes as long as it takes. What you can do is allow openCV to work on its own and send the frames to an exchange class, then allow the image processing to grab a frame and work at its own pace as CV2 continues as normal.

Here is a (shortened) version of my class for OCR image processing. You can see that in start() i'm creating a thread pointed at the ocr() process. This is where your gender identification process can go.

Source https://stackoverflow.com/questions/66993242

QUESTION

Output OpenCv to virtual camera in Python

Asked 2021-Mar-28 at 13:55

I am trying to use OpenCV to detect human faces and draw a rectangle around it, then output it to a virtual camera. I am using pyvirtualcam However, I do not know how to convert the images from the OpenCV VideoCapture to the image format that pyvirtualcam uses. Due to my lack of knowledge, I do not know what format either of them is in, or how to convert one to the other. How do I convert the images from OpenCV to something I can output?

...

ANSWER

Answered 2021-Mar-28 at 13:55

OpenCV uses BGR. pyvirtualcam by default accepts RGB but also supports BGR and others.

The following should work:

Source https://stackoverflow.com/questions/66774431

QUESTION

Bounding box detection for characters / digits

Asked 2021-Feb-17 at 22:34

I have images, which look like the following:

I want to find the bounding boxes for the 8 digits. My first try was to use cv2 with the following code:

...

ANSWER

Answered 2021-Feb-17 at 22:34

The problem in your solution is likely the input image, which is very poor in quality. There’s hardly any contrast between the characters and the background. The blob detection algorithm from cvlib is probably failing to distinguish between character blobs and background, producing a useless binary mask. Let’s try to solve this using purely OpenCV.

I propose the following steps:

Apply adaptive threshold to get a reasonably good binary mask.
Clean the binary mask from blob noise using an area filter.
Improve the quality of the binary image using morphology.
Get the outer contours of each character and fit a bounding rectangle to each character blob.
Crop each character using the previously calculated bounding rectangle.

Let’s see the code:

Source https://stackoverflow.com/questions/65738928

QUESTION

Install cvlib package in python 3.9

Asked 2020-Oct-24 at 07:07

I am suffering as I couldn't install cvlib package in python 3.9 I have searched and found this link https://pypi.org/project/cvlib/#history which is the official link. The latest version is on April 11, 2020 and this seems older than the newer version of python I tried pip install cvlib==0.2.5 but this doesn't seem to work How can I deal with such cases ..? I mean how to install those old packages in the newer version of python.

...

ANSWER

Answered 2020-Oct-24 at 06:37

Python 3.9 was released October 5th 2020, there are probably lots of cases like this where modules aren't updated just yet. Downgrade to Python 3.8 if you are unable to use that module.

Source https://stackoverflow.com/questions/64510644

QUESTION

opencv doesn't use all GPU memory

Asked 2020-Sep-15 at 16:11

I'm trying to use the cvlib package which use yolov3 model to recognize objects on images on windows 10. Let's take an easy example:

...

ANSWER

Answered 2020-Sep-11 at 10:57

You can verify if opencv is using CUDA or not. This can be done using the following

Source https://stackoverflow.com/questions/63768916

QUESTION

Use GPU with opencv-python

Asked 2020-Aug-29 at 10:10

I'm trying to use opencv-python with GPU on windows 10.

I installed opencv-contrib-python using pip and it's v4.4.0.42, I also have Cuda on my computer and in path.

Anyway, here is a (simple) code that I'm trying to compile:

...

ANSWER

Answered 2020-Aug-26 at 16:17

The problem here is that version of opencv distributed with your system (Windows in this case) was not compiled with Cuda support. Therefore, you cannot use any cuda related function with this build.

If you want to have an opencv with cuda support, you will have to either compile it yourself (which may be tedious on windows) or find a prebuilt one somewhere. In case you want to go for the 1st solution, here is a link that may help you with the process: https://programming.vip/docs/compile-opencv-with-cuda-support-on-windows-10.html. Keep in mind that this will require you to install a bunch of SDK in the process.

Source https://stackoverflow.com/questions/63601580

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

Vulnerabilities

No vulnerabilities reported

Install cvlib

You can install using 'pip install cvlib' or download it from GitHub, PyPI.
You can use cvlib 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.