imgaug | Image augmentation for machine learning experiments | Machine Learning library
kandi X-RAY | imgaug Summary
kandi X-RAY | imgaug Summary
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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Top functions reviewed by kandi - BETA
- 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
imgaug Key Features
imgaug Examples and Code Snippets
Lines of Code : 84License : Permissive (MIT)
Copyimport 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 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( 
License : No LicenseCopyimport 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 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 !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
vidTarget.set(cv2.CAP_PROP_POS_FRAMES,0)
vidTarget= cv2.VideoCapture('F1racecars.mp4')
succses, vidTarget = vidTarget.read()
# and resize
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):
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(rotationpytorch 1.5.1 py3.6_cpu_0 [cpuonly] pytorch
success, imgVideo = myVid.read()
ret, imgWebcam = cap.read() # unpacking
imgAug = imgWebcam.copy()
Community Discussions
Trending Discussions on imgaug
QUESTION
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 09:23Here is my code and output
QUESTION
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 18:33Normally 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.
QUESTION
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 09:19It 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
QUESTION
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 23:58I 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
QUESTION
The colab notebooks are not working even I used pip install:
ANSWER
Answered 2022-Jan-03 at 15:52Good news. As of this morning, you no longer have to use the setup_underactuated, and can install with pip, e.g. via
QUESTION
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 16:12Just 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.
QUESTION
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 13:00Opencv 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.
QUESTION
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 14:21geopandas 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
QUESTION
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 22:32This does what you want:
QUESTION
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 14:21Make sure your estimator has
- framework_version = '2.3',
- py_version = 'py37',
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