threshold

问题 The goal is to quantify a certain growth. The definition is as follows: Every value in the sequence shall be compared to the preceding value and if the following value is greater than the preceding one, it shall be taken into regard (returned). If not, it shall be dropped. Consequently, the greater value is used as a new reference for the following ones. A threshold that moves with the ascending values. I've tried this: growthdata<-c(21679, 21722, 21788, 21863, 21833, 21818, 21809, 21834,

问题 I have a list of points and I want to keep the points of the list only if the distance between them is greater than a certain threshold. So, starting from the first point, if the the distance between the first point and the second is less than the threshold then I would remove the second point then compute the distance between the first one and the third one. If this distance is less than the threshold, compare the first and fourth point. Else move to the distance between the third and fourth

问题 I have a list of points and I want to keep the points of the list only if the distance between them is greater than a certain threshold. So, starting from the first point, if the the distance between the first point and the second is less than the threshold then I would remove the second point then compute the distance between the first one and the third one. If this distance is less than the threshold, compare the first and fourth point. Else move to the distance between the third and fourth

问题 I am now learning R and using the SEAS package to help me with some calculation in R and data is the same format as SEAS package likes. It is a time series require(seas) data(mscdata) dat.int <- (mksub(mscdata, id=1108447)) the heading of the data and it is 20 years of data year yday date t_max t_min t_mean rain snow precip However, I now need to calculate the number of days in each month rainfall is >= 1.0mm . So at the end of it. I would have two columns ( each month in each year and total

问题 I am trying to remove the black background from an image using OpenCV, but I am unable to remove the pixels to capture just the main imagery without the black background. Here is the code I am using, along with the original input image. import numpy as np import cv2 from matplotlib import pyplot as plt img = cv2.imread('C:\\Users\\mdl518\\Desktop\\input.png') mask = np.zeros(img.shape[:2],np.uint8) bgdModel = np.zeros((1,65),np.float64) fgdModel = np.zeros((1,65),np.float64) rect = (0,0,1035

来源： https://stackoverflow.com/questions/58590639/split-a-dataframe

来源： https://stackoverflow.com/questions/58590639/split-a-dataframe

来源： https://stackoverflow.com/questions/12405473/does-a-neural-network-with-sigmoid-activation-use-thresholds

来源： https://stackoverflow.com/questions/60854268/stop-scipy-differential-evolution-after-a-time-threshold

问题 My question is that: I have ROI's for the bounding boxes around the objects in an image. The ROI's are obtained by the Faster R-CNN. Now what I want is to apply the thresholding to get the object accurately contained within the bounding box. The ROI of this image was got by the Faster RCNN. So, After getting the ROI's, I only selected ROI from the image and pasted on the black image of the same size and dimension which result in the following image.let say As you can see that boxes are