Category : scikit-image

how are you ? i hope that all of you are well, here is my code import numpy as np import matplotlib.pyplot as plt import skvideo skvideo.setFFmpegPath("C:/Users/User/PycharmProjects/MachineLearning/venv/lib/site-packages/skvideo/io") import skvideo.io input_parameters ={} output_parameters ={} reader=skvideo.io.FFmpegReader("Cool_Kids.mp4",inputdict=input_parameters,outputdict=output_parameters) num_frames,height,width,num_channels =reader.getShape() print(num_frames, height, width, num_channels) for analyzing Cool_Kids.mp4 video using skvideo library, before i would use skvideo.setFFmpegPath("C:/Users/User/PycharmProjects/MachineLearning/venv/lib/site-packages/skvideo/io") i was getting ..

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Using scikit library I was analysing the defects’ area and mean diameter. Here is the code and the respective segmented regions. import cv2 import numpy as np from matplotlib import pyplot as plt from skimage import measure, io, img_as_ubyte from skimage.color import label2rgb, rgb2gray img = cv2.imread("F:py_image_propore.jpg", 0) scale = 0.086 #1 pixel in microns ..

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I have this dataset (iris.data) i downloaded from https://archive.ics.uci.edu/ml/datasets/iris. Can anyone tell me what these numbers respresent? Is it numpy array? 5.1,3.5,1.4,0.2,Iris-setosa 4.9,3.0,1.4,0.2,Iris-setosa 4.7,3.2,1.3,0.2,Iris-setosa 4.6,3.1,1.5,0.2,Iris-setosa 5.0,3.6,1.4,0.2,Iris-setosa 5.4,3.9,1.7,0.4,Iris-setosa How to turn images (emphasis on the S) into these? I’m trying to turn my raw images into a workable dataset. Thanks in advance! Source: Python..

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I’m trying to denoise frames from a video. They are in grayscale. I’ve done this way: denoise_frames_gray = [] i = 0 for i in range (mfframe_number): image = img_as_float(mf_array_gray[0]) sigma_est = np.mean(estimate_sigma(image,multichannel=True)) denoise = denoise_nl_means(mf_array_gray[i], h=4.15 *sigma_est, fast_mode=True, patch_size=5,patch_distance=3, multichannel = True ) denoise_ubyte = img_as_ubyte(denoise[i]) denoise_frames_gray.append(denoise_ubyte) i+=1 but it keeps me getting the ..

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