pygame-surface

来源： https://stackoverflow.com/questions/62499733/pygame-water-physics-not-working-as-intended

来源： https://stackoverflow.com/questions/62499733/pygame-water-physics-not-working-as-intended

问题 Can someone help me on this ? : I try to make a title that appear smoothly on the user screen : def image(name,x,y,u): screen.blit(name,(x,y)) if u = 1 pygame.display.update() Window == 'main' While windows = 'main': image(background,0,0) image(title, 640, 120) pygame.display.update() But texte appaers suddently and not as I would like... 回答1: You want to use transparency, and pygame uses three different types: There are three types of transparency supported in pygame: colorkeys, surface

问题 I'm testing out an application and the UI uses PyQt4 with Pygame embedded into it. It uses a timer to "update" itself so to speak and in the timerEvent function Pygame attempts to retrieve all detected events. Issue is, Pygame isn't detecting any events. Here's a minimalist version of my code #!/etc/python2.7 from PyQt4 import QtGui from PyQt4 import QtCore import pygame import sys class ImageWidget(QtGui.QWidget): def __init__(self,surface,parent=None): super(ImageWidget,self).__init__

问题 I am working through a tutorial. The tutorial can be found here https://inventwithpython.com/makinggames.pdf The main script i am referring to can be found here https://inventwithpython.com/memorypuzzle.py There is a bug in this program that I have been trying to resolve for days. In the main game loop ` while True: # main game loop mouseClicked = False DISPLAYSURF.fill(BGCOLOR) # drawing the window drawBoard(mainBoard, revealedBoxes) for event in pygame.event.get(): # event handling loop if

问题 I am using python 2.7.14 and am currently trying to draw to 2 sides of a pygame screen simultaneously using the multiproccesing module(2 threads are calling functions from a single pygame screen) but everytime I call a function from screen(like screen.get_width() for example) the following error is raised: Process Process-1: Traceback (most recent call last): File "C:\Python27\lib\multiprocessing\process.py", line 267, in _bootstrap self.run() File "C:\Python27\lib\multiprocessing\process.py"

问题 I am using python 2.7.14 and am currently trying to draw to 2 sides of a pygame screen simultaneously using the multiproccesing module(2 threads are calling functions from a single pygame screen) but everytime I call a function from screen(like screen.get_width() for example) the following error is raised: Process Process-1: Traceback (most recent call last): File "C:\Python27\lib\multiprocessing\process.py", line 267, in _bootstrap self.run() File "C:\Python27\lib\multiprocessing\process.py"

问题 I am using python 2.7.14 and am currently trying to draw to 2 sides of a pygame screen simultaneously using the multiproccesing module(2 threads are calling functions from a single pygame screen) but everytime I call a function from screen(like screen.get_width() for example) the following error is raised: Process Process-1: Traceback (most recent call last): File "C:\Python27\lib\multiprocessing\process.py", line 267, in _bootstrap self.run() File "C:\Python27\lib\multiprocessing\process.py"

问题 I am building a self driving RC car. I have 100s of images taken from pi camera and each one of them are named as direction.jpg . How do I convert these images into single .npz file so that I can train a Neural net. The code below is a simple python script that enables my car to move on key press and snaps photos every second. #!/usr/bin/env python """Interactive control for the car""" import time import io import pygame import pygame.font import picamera import configuration import helpers

问题 I'm writing a code that part of it is reading an image source and displaying it on the screen for the user to interact with. I also need the sharpened image data. I use the following to read the data and display it in pyGame def image_and_sharpen_array(file_name): #read the image data and return it, with the sharpened image image = misc.imread(file_name) blurred = ndimage.gaussian_filter(image,3) edge = ndimage.gaussian_filter(blurred,1) alpha = 20 out = blurred + alpha*(blurred - edge)