imgaug | Image augmentation for machine learning experiments | Machine Learning library

 by   aleju Python Version: 0.4.0 License: MIT

kandi X-RAY | imgaug Summary

kandi X-RAY | imgaug Summary

imgaug is a Python library typically used in Telecommunications, Media, Media, Entertainment, Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. imgaug has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install imgaug' or download it from GitHub, PyPI.

This python library helps you with augmenting images for your machine learning projects. It converts a set of input images into a new, much larger set of slightly altered images.
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            kandi-support Support

              imgaug has a medium active ecosystem.
              It has 13577 star(s) with 2381 fork(s). There are 231 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 277 open issues and 222 have been closed. On average issues are closed in 181 days. There are 11 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of imgaug is 0.4.0

            kandi-Quality Quality

              imgaug has 0 bugs and 0 code smells.

            kandi-Security Security

              imgaug has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              imgaug code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              imgaug is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              imgaug 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, examples and code snippets are available.
              imgaug saves you 83081 person hours of effort in developing the same functionality from scratch.
              It has 91515 lines of code, 8024 functions and 146 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed imgaug and discovered the below as its top functions. This is intended to give you an instant insight into imgaug implemented functionality, and help decide if they suit your requirements.
            • Resize multiple images
            • Return a new gate dtypes
            • Convert a list of dtypes to two types
            • Returns the intersection between two bounding boxes
            • Draws an image
            • Determine if this region is out of the given image
            • String representation
            • Draw lines on an image
            • Removes a key from the tree
            • Applies a noise to the given coordinates
            • Computes the noise of the given coordinates
            • Augment the given batch
            • Adjust the contrast gamma of an array
            • Adjust the contrast log
            • Adjust the contrast ratio of an array
            • Draws text on image
            • Generate an example pipeline
            • Maps the coordinates of the coordinates of the given coordinates
            • Map coordinates from coordinates to coordinates
            • Draw the keypoint on an image
            • Draw a grid of images
            • Pad an array to the specified aspect ratio
            • Adjust the contrast of a linear array
            • Create a deep copy of this batch
            • Augment keypoints
            • Augment keypoints by sampling the keypoints
            Get all kandi verified functions for this library.

            imgaug Key Features

            No Key Features are available at this moment for imgaug.

            imgaug Examples and Code Snippets

            imgaug-Code Examples-Example: Very Complex Augmentation Pipeline
            Pythondot img1Lines of Code : 84dot img1License : Permissive (MIT)
            copy iconCopy
            import numpy as np
            import imgaug as ia
            import imgaug.augmenters as iaa
            
            # random example images
            images = np.random.randint(0, 255, (16, 128, 128, 3), dtype=np.uint8)
            
            # Sometimes(0.5, ...) applies the given augmenter in 50% of all cases,
            # e.g. Somet  
            imgaug-Code Examples-Example: Visualize Augmented Non-Image Data
            Pythondot img2Lines of Code : 34dot img2License : Permissive (MIT)
            copy iconCopy
            import numpy as np
            import imgaug as ia
            
            image = np.zeros((64, 64, 3), dtype=np.uint8)
            
            # points
            kps = [ia.Keypoint(x=10.5, y=20.5), ia.Keypoint(x=60.5, y=60.5)]
            kpsoi = ia.KeypointsOnImage(kps, shape=image.shape)
            image_with_kps = kpsoi.draw_on_image(  
            Example: Visualize Augmented Non-Image Data
            pypidot img3Lines of Code : 34dot img3no licencesLicense : No License
            copy iconCopy
            import numpy as np
            import imgaug as ia
            
            image = np.zeros((64, 64, 3), dtype=np.uint8)
            
            # points
            kps = [ia.Keypoint(x=10.5, y=20.5), ia.Keypoint(x=60.5, y=60.5)]
            kpsoi = ia.KeypointsOnImage(kps, shape=image.shape)
            image_with_kps = kpsoi.draw_on_image(  
            Mask_RCNN - coco
            Pythondot img4Lines of Code : 297dot img4License : Non-SPDX
            copy iconCopy
            """
            Mask R-CNN
            Configurations and data loading code for MS COCO.
            
            Copyright (c) 2017 Matterport, Inc.
            Licensed under the MIT License (see LICENSE for details)
            Written by Waleed Abdulla
            
            ------------------------------------------------------------
            
            Us  
            Json file is save like a folder rather than a file
            Pythondot img5Lines of Code : 7dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            !pip3 uninstall tensorflow
            !pip3 install tensorflow==2.4.1
            !pip3 install tensorflow--gpu
            !pip3 install imgaug
            !pip install pixellib==0.5.2
            !pip install labelme2coco==0.1.2
            
            AttributeError: 'numpy.ndarray' object has no attribute 'set'
            Pythondot img6Lines of Code : 7dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            vidTarget.set(cv2.CAP_PROP_POS_FRAMES,0)
            
            vidTarget= cv2.VideoCapture('F1racecars.mp4')
            
            succses, vidTarget = vidTarget.read()
            # and resize
            
            Augmented images saved as grey (imgaug,imageio, opencv)
            Pythondot img7Lines of Code : 7dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            for i in range(32):
                images_aug[i] = cv2.cvtColor(images_aug[i], cv2.COLOR_BGR2RGB)
                iio.imwrite('C:\\Users\\kathr\\Desktop\\Aug\\' + str(i) + 'aug.jpg', images_aug[i], format= '.jpg')
            
            for i in range(32):
               
            How to apply mutliple rotate values for one image in imgaug? (Not randomly)
            Pythondot img8Lines of Code : 12dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            from imgaug import augmenters as iaa
            from imgaug import parameters as iap
            import cv2
            
            rotations = [90,180,270]
            aug = iaa.Affine(rotate=iap.DeterministicList(rotations))
            img = cv2.imread('i/1.jpg')
            imglist = [img for i in range(len(rotation
            copy iconCopy
            pytorch                   1.5.1               py3.6_cpu_0  [cpuonly]  pytorch
            
            AttributeError: 'tuple' object has no attribute 'copy' in opencv2
            Pythondot img10Lines of Code : 5dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            success, imgVideo = myVid.read()
            
            ret, imgWebcam = cap.read() # unpacking
            imgAug = imgWebcam.copy()
            

            Community Discussions

            QUESTION

            How to find contours in dotted text captcha image
            Asked 2022-Feb-28 at 09:23

            I am newbie to OpenCV. I'm trying to find the contours of the captcha image. It does not work only when my captcha image contains the dotted text.

            I have done following code for that:

            ...

            ANSWER

            Answered 2022-Feb-28 at 09:23

            Here is my code and output

            Source https://stackoverflow.com/questions/71261999

            QUESTION

            AttributeError: 'numpy.ndarray' object has no attribute 'set'
            Asked 2022-Feb-16 at 18:33

            when I write this code: (my entire code, school project on Augmented Reality) Everything worked perfectly until I tried to run the video. ...........................................................................................................................................................................................................

            ...

            ANSWER

            Answered 2022-Feb-16 at 18:33

            Normally we ask for the full error message, with traceback. That makes it easier to identify where the error occurs. In this case though, set is only used a couple of times.

            Source https://stackoverflow.com/questions/71143135

            QUESTION

            Colab: (0) UNIMPLEMENTED: DNN library is not found
            Asked 2022-Feb-08 at 19:27

            I have pretrained model for object detection (Google Colab + TensorFlow) inside Google Colab and I run it two-three times per week for new images I have and everything was fine for the last year till this week. Now when I try to run model I have this message:

            ...

            ANSWER

            Answered 2022-Feb-07 at 09:19

            It happened the same to me last friday. I think it has something to do with Cuda instalation in Google Colab but I don't know exactly the reason

            Source https://stackoverflow.com/questions/71000120

            QUESTION

            fit_generator() returns NoneType instead of History object in Mask R CNN
            Asked 2022-Jan-27 at 01:21

            I would like to save the loss data while training my Mask R CNN, but I seem to be missing something. The training is working but I'm getting the Error:

            AttributeError: 'NoneType' object has no attribute 'history'

            ...

            ANSWER

            Answered 2022-Jan-26 at 23:58

            I believe that model.fit_generator is deprecated, in TensorFlow 2.2 and higher you can just use model.fit because this now supports generators.

            https://www.tensorflow.org/api_docs/python/tf/keras/Model#fit_generator

            Source https://stackoverflow.com/questions/70871252

            QUESTION

            colab notebook in Chapter 3 of Underactuated Robotics is not working
            Asked 2022-Jan-03 at 15:52

            The colab notebooks are not working even I used pip install:

            ...

            ANSWER

            Answered 2022-Jan-03 at 15:52

            Good news. As of this morning, you no longer have to use the setup_underactuated, and can install with pip, e.g. via

            Source https://stackoverflow.com/questions/70464408

            QUESTION

            How to make conda use its own gcc version?
            Asked 2021-Dec-12 at 16:12

            I am trying to run the training of stylegan2-pytorch on a remote system. The remote system has gcc (9.3.0) installed on it. I'm using conda env that has the following installed (cudatoolkit=10.2, torch=1.5.0+, and ninja=1.8.2, gcc_linux-64=7.5.0). I encounter the following error:

            ...

            ANSWER

            Answered 2021-Dec-12 at 16:12

            Just to share, not sure it will help you. However it shows that in standard conditions it is possible to use the conda gcc as described in the documentation instead of the system gcc.

            Source https://stackoverflow.com/questions/70316504

            QUESTION

            Augmented images saved as grey (imgaug,imageio, opencv)
            Asked 2021-Nov-04 at 13:00

            I´m starting my first Computer Vision Project and wanted to tryout image augmentation to improve my dataset. I tried it with imgaug and everything works fine, as long as I only display them. But as as soon as I save them to a file they turn out greyisch/blue.

            Here´s the code I´m using:

            ...

            ANSWER

            Answered 2021-Nov-04 at 13:00

            Opencv reads in images in B,G,R order. Converting them to R,G,B before saving will fix your problem using imageio. Check this post for more information.

            Source https://stackoverflow.com/questions/69838928

            QUESTION

            Multipoint(df['geometry']) key error from dataframe but key exist. KeyError: 13 geopandas
            Asked 2021-Oct-11 at 14:51

            data source: https://catalog.data.gov/dataset/nyc-transit-subway-entrance-and-exit-data

            I tried looking for a similar problem but I can't find an answer and the error does not help much. I'm kinda frustrated at this point. Thanks for the help. I'm calculating the closest distance from a point.

            ...

            ANSWER

            Answered 2021-Oct-11 at 14:21

            geopandas 0.10.1

            • have noted that your data is on kaggle, so start by sourcing it
            • there really is only one issue shapely.geometry.MultiPoint() constructor does not work with a filtered series. Pass it a numpy array instead and it works.
            • full code below, have randomly selected a point to serve as gpdPoint

            Source https://stackoverflow.com/questions/69521034

            QUESTION

            How to apply mutliple rotate values for one image in imgaug? (Not randomly)
            Asked 2021-Aug-28 at 23:05
            from imgaug import augmenters as iaa
            from imgaug import parameters as iap
            
            import cv2
            
            aug=iaa.Affine(rotate=iap.DeterministicList([90,180,270]))
            
            
            imglist = []
            
            img = cv2.imread('i/1.jpg')
            
            imglist.append(img)
            
            images_aug = aug.augment_images(imglist)
            
            cv2.imwrite('i/new.jpg', images_aug[0])
            
            ...

            ANSWER

            Answered 2021-Aug-28 at 22:32

            This does what you want:

            Source https://stackoverflow.com/questions/68968486

            QUESTION

            Aws Sagemaker - ModuleNotFoundError: No module named 'cv2'
            Asked 2021-Apr-14 at 14:21

            I am trying to run a object detection code in Aws. Although opencv is listed in the requirement file, i have the error "no module named cv2". I am not sure how to fix this error. could someone help me please.

            My requirement.txt file has

            • opencv-python
            • numpy>=1.18.2
            • scipy>=1.4.1
            • wget>=3.2
            • tensorflow==2.3.1
            • tensorflow-gpu==2.3.1
            • tqdm==4.43.0
            • pandas
            • boto3
            • awscli
            • urllib3
            • mss

            I tried installing "imgaug" and "opencv-python headless" as well.. but still not able to get rid of this error.

            ...

            ANSWER

            Answered 2021-Apr-14 at 14:21

            Make sure your estimator has

            • framework_version = '2.3',
            • py_version = 'py37',

            Source https://stackoverflow.com/questions/67093041

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

            Vulnerabilities

            No vulnerabilities reported

            Install imgaug

            The library supports python 2.7 and 3.4+.

            Support

            More RTD documentation: imgaug.readthedocs.io. All documentation related files of this project are hosted in the repository imgaug-doc.
            Find more information at:

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            Install
          • PyPI

            pip install imgaug

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            https://github.com/aleju/imgaug.git

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            gh repo clone aleju/imgaug

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            git@github.com:aleju/imgaug.git

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