mask | 易学教程

OpenCV, cv2.approxPolyDP() Draws double lines on closed contour

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问题 I want to create some polygons out of this mask: image 1 - Mask So i created these contours with openCV findcontours(): image 2 - Contours When creating polygons I get these polygons: image 3 - Polygons As you can see some polygons are drawn using double lines. How do I prevent this? See my code: import glob from PIL import Image import cv2 import numpy as np # Let's load image = cv2.imread(path + "BigOneEnhanced.tif") # Grayscale gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) # Find Canny

How can you turn an index array into a mask array in Numpy?

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问题 Is it possible to convert an array of indices to an array of ones and zeros, given the range? i.e. [2,3] -> [0, 0, 1, 1, 0], in range of 5 I'm trying to automate something like this: >>> index_array = np.arange(200,300) array([200, 201, ... , 299]) >>> mask_array = ??? # some function of index_array and 500 array([0, 0, 0, ..., 1, 1, 1, ... , 0, 0, 0]) >>> train(data[mask_array]) # trains with 200~299 >>> predict(data[~mask_array]) # predicts with 0~199, 300~499 回答1: Here's one way: In [1]:

Masking two images in Flutter using a Custom Painter

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问题 Hello can anyone tell me why the background to this masking attempt is black. This must be close but I just can't kill the background. I've seen others reference that saveLayer(rect, paint) is the key here as that shoves the whole canvas rect in to the masking operation. This question (no masking operation) and this one (no actual answer) are similar but were no use to me. main.dart import 'dart:typed_data'; import 'dart:ui' as ui; import 'package:flutter/cupertino.dart'; import 'package

Masking two images in Flutter using a Custom Painter

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How to apply masking layer to sequential CNN model in Keras?

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问题 I have a problem of applying masking layer to CNNs in RNN/LSTM model. My data is not original image, but I converted into a shape of (16, 34, 4)(channels_first). The data is sequential, and the longest step length is 22. So for invariant way, I set the timestep as 22. Since it may be shorter than 22 steps, I fill others with np.zeros. However, for 0 padding data, it's about half among all dataset, so with 0 paddings, the training cannot reach a very good result with so much useless data. Then

放大镜功能

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<!DOCTYPE html> <html> <head lang="en"> <meta charset="UTF-8"> <title></title> <style> * { margin: 0; padding: 0; } .box { width: 350px; height: 350px; margin: 100px; border: 1px solid #ccc; position: relative; } .big { width: 400px; height: 400px; position: absolute; top: 0; left: 360px; border: 1px solid #ccc; overflow: hidden; display: none; } .mask { width: 175px; height: 175px; background: rgba(255, 255, 0, 0.4); position: absolute; top: 0; left: 0; cursor: move; display: none; } .small { position: relative; } .box img { vertical-align: top; } #bigBox img { position: absolute; } </style>

How to make SVG “fill” act in a similar way to CSS “background-size: cover”

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问题 I'm am trying to create an SVG which masks an image with a particular path however, when I try to fill the area using a pattern, the image does not cover the entire area. Expected Actual In my defs I am defining the pattern: <pattern id="image" patternUnits="userSpaceOnUse" width="83.38" height="100" x="0" y="0"> <image xlink:href="http://goo.gl/kVVuy1" x="0" y="0" width="100%" height="100%" /> </pattern> and the shape: <path id="shape" d="M80.4,0c0,33.3,0,66.7,0,100c-26.8,0-53.6,0-80.4,0c0,0

How to make SVG “fill” act in a similar way to CSS “background-size: cover”

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Create a NetCDF file with data masked to retain land points only

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问题 I have masked a NetCDF file using basemap.gs script in grads. Here is what I got using the mask: So, I would like to obtain a NetCDF file which only contains the continental data, can anyone help me with this? 回答1: If I have understood the question correctly, the desire is to have a netcdf file with all the values set to missing (i.e. _Fillvalue) over the sea points. If so there are two solutions from the command line: SOLUTION 1: One way is to use CDO to create a land-sea mask and then set

Create a NetCDF file with data masked to retain land points only

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