OpenCV

How to convert Yolo format bounding box coordinates into OpenCV format

由 牧云@^-^@ 提交于 2021-01-06 03:24:46
问题 I have Yolo format bounding box annotations of objects saved in a .txt files. Now I want to load those coordinates and draw it on the image using OpenCV , but I don’t know how to convert those float values into OpenCV format coordinates values I tried this post but it didn’t help, below is a sample example of what I am trying to do Code and output import matplotlib.pyplot as plt import cv2 img = cv2.imread(<image_path>) dh, dw, _ = img.shape fl = open(<label_path>, 'r') data = fl.readlines()

How to convert Yolo format bounding box coordinates into OpenCV format

由 蹲街弑〆低调 提交于 2021-01-06 03:23:50
问题 I have Yolo format bounding box annotations of objects saved in a .txt files. Now I want to load those coordinates and draw it on the image using OpenCV , but I don’t know how to convert those float values into OpenCV format coordinates values I tried this post but it didn’t help, below is a sample example of what I am trying to do Code and output import matplotlib.pyplot as plt import cv2 img = cv2.imread(<image_path>) dh, dw, _ = img.shape fl = open(<label_path>, 'r') data = fl.readlines()

openCV的imread()函数

由 ◇◆丶佛笑我妖孽 提交于 2021-01-06 02:26:17
1 path = ' E:\\pythoncodes\\learningopenCV\\read_image.jpg ' 2 img = cv2.imread(path,cv2.IMREAD_COLOR) 3 print (img.shape) cv2.imread(path,读取方式) 1.读取方式分为： cv2.IMREAD_COLOR：读入一副彩色图片； cv2.IMREAD_GRAYSCALE：以灰度模式读入图片； cv2.IMREAD_UNCHANGED：读入一幅图片，并包括其 alpha通道。 2.该函数的返回值是一个三维ndarray数组，上面的程序运行结果如下图： 然后再来看一下图片read_image.jpg的属性信息，如下图： 仔细观察不难看出，程序返回的元组的前两个值220，280分别为图片的“高度”和“宽度”。剩下的那个数3，应该是代表每个像素点是由BGR三个元素组成的。 import cv2 import numpy as np arr = np.arange(15 ) print (len(arr)) arr1 = arr.reshape(5,3 ) print (arr1) print (len(arr1)) arr2 = np.array([1,2 ]) print (arr2) print (arr2.size) img = cv2.imread(

ValueError while using cv2.findContours() in python. -> not enough values to unpack (expected 3, got 2)

由 一曲冷凌霜 提交于 2021-01-05 12:39:11
问题 Getting an error: Traceback (most recent call last): File "motion_detector.py", line 21, in <module> (_, cnts, _) = cv2.findContours(thresh_frame.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) ValueError: not enough values to unpack (expected 3, got 2) Having problems with detecting contours in an image. Have been double checking from the tutorial and also looking from stack overflow to understand where I miss something, but can't find the solution. Using Python 3.6.4 and OpenCV 4.0.0.

How to copy and paste of image as Picture-In-Picture in OpenCV [closed]

由 房东的猫 提交于 2021-01-05 11:06:21
问题 Closed . This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 3 years ago . Improve this question import cv2 import numpy as np img = cv2.imread('C:\Users\SHUSHMA-PC\Desktop\sample\dumb.jpeg',cv2.IMREAD_COLOR) img[100,100]=[255,255,255] px=img[100,100] img[500:550,500:550]=[0,0,0] dumb_face= img[37:111,108:195] img[0:74,0:87]=dumb_face imS = cv2.resize(img, (250, 250)) cv2

How to copy and paste of image as Picture-In-Picture in OpenCV [closed]

由 旧街凉风 提交于 2021-01-05 11:05:47
问题 Closed . This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 3 years ago . Improve this question import cv2 import numpy as np img = cv2.imread('C:\Users\SHUSHMA-PC\Desktop\sample\dumb.jpeg',cv2.IMREAD_COLOR) img[100,100]=[255,255,255] px=img[100,100] img[500:550,500:550]=[0,0,0] dumb_face= img[37:111,108:195] img[0:74,0:87]=dumb_face imS = cv2.resize(img, (250, 250)) cv2

How to identify empty rectangle using OpenCV

由 白昼怎懂夜的黑 提交于 2021-01-05 08:16:09
问题 Problem statement: I have to identify which box in the image is empty and which box in image is filled, ( here number and color signify that the box is filled) https://photos.app.goo.gl/FpaShWVL1RV7z1Gt8 After applying find contour (External) I have seperated the outer 21 boxes https://photos.app.goo.gl/12DGPy3iAYgPUMZ39 After seperating the boxes from image I have https://photos.app.goo.gl/NQVmA5pAWufSReVD8 Now the question is how to identify which box is empty and which box is filled.

How to identify empty rectangle using OpenCV

由 狂风中的少年 提交于 2021-01-05 08:15:12
问题 Problem statement: I have to identify which box in the image is empty and which box in image is filled, ( here number and color signify that the box is filled) https://photos.app.goo.gl/FpaShWVL1RV7z1Gt8 After applying find contour (External) I have seperated the outer 21 boxes https://photos.app.goo.gl/12DGPy3iAYgPUMZ39 After seperating the boxes from image I have https://photos.app.goo.gl/NQVmA5pAWufSReVD8 Now the question is how to identify which box is empty and which box is filled.

Saving transparent PNG as JPEG on white background

由 余生颓废 提交于 2021-01-05 07:20:26
问题 Say I have an BGRA image as numpy array that looks pretty much like this: [[[233 228 230 128] [233 228 230 128] [233 228 230 0] ... [164 160 159 65] [199 197 196 65] [255 255 254 120]] That looks pretty straightforward - three colour channels + one alpha that controls transparency of pixels. Saving that numpy array in a PNG format results in an image that is semi-transparent as it should be. However, when saving it as JPEG, the alpha channel is dropped completely and the all of the pixels are

Saving transparent PNG as JPEG on white background

由 我的梦境 提交于 2021-01-05 07:20:15
问题 Say I have an BGRA image as numpy array that looks pretty much like this: [[[233 228 230 128] [233 228 230 128] [233 228 230 0] ... [164 160 159 65] [199 197 196 65] [255 255 254 120]] That looks pretty straightforward - three colour channels + one alpha that controls transparency of pixels. Saving that numpy array in a PNG format results in an image that is semi-transparent as it should be. However, when saving it as JPEG, the alpha channel is dropped completely and the all of the pixels are
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