OpenCV

问题 I have debugging my code and here is what I found: img = cv2.resize(img, (224, 224)) cv2.imshow("img",img) cv2.waitKey(0) cv2.destroyAllWindows() img = (img / 127.5) - 1 cv2.imshow("img",(127.5*(img+1)).astype(int)) cv2.waitKey(0) cv2.destroyAllWindows() these operations don't output the same picture even tough they are same, does somebody konow why? 回答1: Try checking the dtype each time you display: print(img.dtype) 来源： https://stackoverflow.com/questions/63371878/opencv-didnt-output-images

问题 Problem I am processing an iPhone screen recording of a game automatic replay called Chinese Chess (I press the play button once, it automatically goes through all the moves). The screen recording is in 30FPS, and conveniently, every second (30 frames), a new move is made. For example, the 120th frame looks like this: 30 frames (1 second) later, the 150th frame looks like this: I want to detect each move played by comparing the previous frame to the current frame. My code works if the piece

问题 I have debugging my code and here is what I found: img = cv2.resize(img, (224, 224)) cv2.imshow("img",img) cv2.waitKey(0) cv2.destroyAllWindows() img = (img / 127.5) - 1 cv2.imshow("img",(127.5*(img+1)).astype(int)) cv2.waitKey(0) cv2.destroyAllWindows() these operations don't output the same picture even tough they are same, does somebody konow why? 回答1: Try checking the dtype each time you display: print(img.dtype) 来源： https://stackoverflow.com/questions/63371878/opencv-didnt-output-images

问题 I am trying to convert my kivy texture to an image format so that i can process it using opencv (cv2). I tried reading the texture using read() and using cv2.imread() but neither worked. I also looked into converting the ubyte texture into a string but got nowhere. kivy camera texture -> format that i can process using cv2 something like MyVariable = someid.texture #do something to format of MyVariable so that it is an 'image' Newvar = MyVariable.read() #cv2 processing... EDIT: Ok so i got

问题 Problem I am processing an iPhone screen recording of a game automatic replay called Chinese Chess (I press the play button once, it automatically goes through all the moves). The screen recording is in 30FPS, and conveniently, every second (30 frames), a new move is made. For example, the 120th frame looks like this: 30 frames (1 second) later, the 150th frame looks like this: I want to detect each move played by comparing the previous frame to the current frame. My code works if the piece

问题 I keep getting this error: faces = face_cascade.detectMultiScale(gray, 1.3, 5) cv2.error: OpenCV(4.5.1) C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-wvn_it83\opencv\modules\objdetect\src\cascadedetect.cpp:1689: error: (-215:Assertion failed) !empty() in function 'cv::CascadeClassifier::detectMultiScale' when trying to run this code import cv2 import numpy as np face_cascade = cv2.CascadeClassifier('haarcascase_frontalface_default.xml') cap = cv2.VideoCapture(0) while 1: ret, img = cap

问题 I keep getting this error: faces = face_cascade.detectMultiScale(gray, 1.3, 5) cv2.error: OpenCV(4.5.1) C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-wvn_it83\opencv\modules\objdetect\src\cascadedetect.cpp:1689: error: (-215:Assertion failed) !empty() in function 'cv::CascadeClassifier::detectMultiScale' when trying to run this code import cv2 import numpy as np face_cascade = cv2.CascadeClassifier('haarcascase_frontalface_default.xml') cap = cv2.VideoCapture(0) while 1: ret, img = cap

问题 I'd like to create a video from still images, but instead of using a static FPS, I have a specific timestamp for each image (the images are not exactly evenly spaced in time). How could I go about doing this? My current code, with a static FPS, is as follows import cv2 import os image_folder = '/Users/alex/Dropbox/Apps/CCTV-AE/rasp2/saved/movies/' video_name = '/Users/alex/Dropbox/Apps/CCTV-AE/rasp2/saved/movies/video.avi' images = sorted([img for img in os.listdir(image_folder) if img

问题 I'd like to create a video from still images, but instead of using a static FPS, I have a specific timestamp for each image (the images are not exactly evenly spaced in time). How could I go about doing this? My current code, with a static FPS, is as follows import cv2 import os image_folder = '/Users/alex/Dropbox/Apps/CCTV-AE/rasp2/saved/movies/' video_name = '/Users/alex/Dropbox/Apps/CCTV-AE/rasp2/saved/movies/video.avi' images = sorted([img for img in os.listdir(image_folder) if img

问题 I have a binary image with the number of close loops and free curves like shown in image.. My approach so far- (python code): Skeletonize the image to get edge of 1 pixel Use label/bwlabel to get individual curve/edge Applied DFS to get the edge which is not close Apply DFS to get close edge..but not working correctly.. Expected output - Number of close loops =6, the sum of the pixels along the loop or all (x,y) points along the edge of the close curve as highlighted in RED Expected Output-