#匯入pygame模組
import pygame
#設定顏色
WHITE = color(255, 255, 255)
BLACK = color(0, 0, 0)
RED = color(255, 0, 0)
GREEN = color(0, 255, 0)
BLUE = color(0, 0, 255)
#pygame初始化
pygame.init()
#設定螢幕
pygame.display(640, 70)
#設定視窗標題
screen.blit.set_caption("HIHI")
#設定更新時鐘
clock = pygame.time.Clock()
#設定迴圈開關
done = False
#設定球x原先座標
ball_x = 10
ball_y = 10
#主迴圈
while not done:
#偵測關閉事件
for event in pygame.event.get()
done = true
#偵測鍵盤事件
keys = pygame.key.get_pressed()
#判斷鍵盤是否為左右按鈕，若是則移動球位置
if keys[pygame.K_RIGHT]:
ball_x += 30
import pygame import sys from pygame.locals import * pygame.init() SetDisplay = pygame.display()
def log(msg):
print time.asctime(), msg
surface = pygame.display.set_mode((0, 0), pygame.FULLSCREEN | pygame.DOUBLEBUF | pygame.HWSURFACE)
info = pygame.display.Info()
screen_width = info.current_w
screen_height = info.current_h
while True:
try:
maybeExit(False)
items = update()
for item in items:
download(item)
display()
maybeExit()
except urllib2.HTTPError, ex:
log(ex)
time.sleep(1)
except urllib2.URLError, ex:
log(ex)
time.sleep(1)
except socket.error, ex:
log(ex)
time.sleep(1)
except pygame.error, ex:
log(ex)
except httplib.HTTPException:
log(ex)
steer = 90
speed = 0
left_limit = 60
right_limit = 120
GREEN = (0, 255, 0)
while True:
for event in pygame.event.get():
if event.type == QUIT:
sys.exit()
if event.type == KEYDOWN:
if event.key == K_UP:
print("up")
steer, speed = pygame.mouse.get_pos()
pygame.display('s = ' + str(steer))
#rr.forward()
#rr.set_led1(True)
#rr.set_led2(True)
elif event.key == K_DOWN:
print('down')
pygame.draw.line(screen, GREEN, [0, 0], [
50,
30,
], 5)
pygame.display.flip()
#rr.set_led1(True)
#rr.set_led2(True)
#rr.reverse()
elif event.key == K_RIGHT:
print('right')
def __init__(self):
pygame.init()
self.screen = pygame.display(set_mode((260, 260)))
pygame.display.set_caption(TITLE)
self.clock = pygame.time.Clock()
import random as rd
import pygame as pg
import time, sys, os
display = pg.display()
display.title("Platformer")
while True:
for event in pg.events:
if event == pg.events.EXIT:
break
pg.display.update()
sys.exit()
import pygame
from pygame.locals import*
img = pygame.image.load('Family.jpg')
screen = pygame.display.set_mode((640, 480))
pygame.display()
white = (255, 64, 64)
w = 640
h = 480
screen = pygame.display.set_mode((w, h))
screen.fill((white))
running = 0
while (running<1):
screen.fill((white))
screen.blit(img,(0,0))
pygame.display.flip()
running = running + 1
def log(msg):
print time.asctime(), msg
surface = pygame.display.set_mode((0, 0), pygame.FULLSCREEN | pygame.DOUBLEBUF | pygame.HWSURFACE)
info = pygame.display.Info()
screen_width = info.current_w
screen_height = info.current_h
while True:
try:
maybeExit(False)
items = update()
for item in items:
download(item)
display()
maybeExit()
except urllib2.HTTPError, ex:
log(ex)
time.sleep(1)
except urllib2.URLError, ex:
log(ex)
time.sleep(1)
except socket.error, ex:
log(ex)
time.sleep(1)
except pygame.error, ex:
log(ex)
except httplib.HTTPException:
log(ex)
mapselectleftButton.click(event.pos)
if event.type == pygame.MOUSEBUTTONUP:
if mapselectleftButton.release(event.pos):
cleanscreen.prev()
if event.type == pygame.MOUSEBUTTONDOWN:
mapselectrightButton.click(event.pos)
if event.type == pygame.MOUSEBUTTONUP:
if mapselectrightButton.release(event.pos):
cleanscreen.next()
if event.type == pygame.MOUSEBUTTONDOWN:
optionsButton.click(event.pos)
if event.type == pygame.MOUSEBUTTONUP:
if optionsButton.release(event.pos):
pygame.display("Images/Screens/temporaryOptionsScreen.png")
all.update(width, height)
dirty = all.draw(screen)
pygame.display.update(dirty)
pygame.display.flip()
clock.tick(60)
Pointer("Cursors/RedCursor.png")
pygame.mouse.set_visible(True)
def run(display_option, speed, params):
pygame.init()
agent = DQNAgent(params)
weights_filepath = params['weights_path']
if params['load_weights']:
agent.model.load_weights(weights_filepath)
print("weights loaded")
counter_games = 0
score_plot = []
counter_plot = []
record = 0
while counter_games < params['episodes']:
logger.info("===========================")
logger.info(f"{info_string}")
time_start = time.time()
for event in pygame.event.get():
if event.type == pygame.QUIT:
pygame.quit()
quit()
# Initialize classes
game = Game(440, 440)
player1 = game.player
food1 = game.food
# Perform first move
initialize_game(player1, game, food1, agent, params['batch_size'])
if display_option == True:
display(player1, food1, game, record)
time_start_game_update = time.time()
while not game.crash:
time_start_game_update_pygame = time.time()
if not params['train']:
agent.epsilon = 0
else:
# agent.epsilon is set to give randomness to actions
if agent.epsilon <= params['min_epsilon']:
agent.epsilon = params['min_epsilon']
else:
agent.epsilon = 1 - (counter_games *
params['epsilon_decay_linear'])
# get old state
state_old, vision = agent.get_state(game, player1, food1)
# perform random actions based on agent.epsilon, or choose the action
if randint(0, 1) < agent.epsilon:
final_move = to_categorical(randint(0, 2), num_classes=3)
else:
# predict action based on the old state
prediction = agent.model.predict(
state_old.reshape((1, params['num_input_features'])))
final_move = to_categorical(np.argmax(prediction[0]),
num_classes=3)
# perform new move and get new state
player1.do_move(final_move, player1.x, player1.y, game, food1,
agent)
state_new, vision = agent.get_state(game, player1, food1)
# set reward for the new state
reward = agent.set_reward(player1, game.crash)
time_end_game_update_pygame = time.time()
time_start_game_update_train = time.time()
if params['train']:
# train short memory base on the new action and state
agent.train_short_memory(state_old, final_move, reward,
state_new, game.crash)
# store the new data into a long term memory
agent.remember(state_old, final_move, reward, state_new,
game.crash)
time_end_game_update_train = time.time()
time_start_game_update_record = time.time()
record = get_record(game.score, record)
time_end_game_update_record = time.time()
logger.debug("Pygame update step: " +
str((time_end_game_update_pygame -
time_start_game_update_pygame)))
logger.debug("Train short term update step: " +
str((time_end_game_update_train -
time_start_game_update_train)))
logger.debug("Record score step: " +
str((time_end_game_update_record -
time_start_game_update_record)))
if display_option == True:
cv2.imshow("Vision of the Snake", vision * 255.0)
# detect any kepresses
key = cv2.waitKey(1) & 0xFF
# if the `q` key was pressed, break from the loop
if key == ord("q"):
break
display(player1, food1, game, record)
pygame.time.wait(speed)
# # Pause visualisation if crash
# if display_option==True:
# cv2.imshow("Vision of the Snake", vision * 255.0)
#
# # detect any kepresses
# key = cv2.waitKey(1) & 0xFF
# # if the `q` key was pressed, break from the loop
# if key == ord("q"):
# break
# display(player1, food1, game, record)
# pygame.time.wait(5000)
time_end_game_update = time.time()
logger.info(
"Time to play one game: " +
str(round((time_end_game_update - time_start_game_update), 3)))
time_start_long_term = time.time()
if params['train']:
agent.replay_new(agent.memory, params['batch_size'])
time_end_long_term = time.time()
logger.info("Train long term update step: " +
str(round((time_end_long_term - time_start_long_term), 3)))
if agent.epsilon <= params['min_epsilon']:
agent.epsilon = params['min_epsilon']
else:
agent.epsilon = 1 - (counter_games *
params['epsilon_decay_linear'])
logger.info(f'The epsilon value is: {agent.epsilon}')
logger.debug("===========================")
counter_games += 1
logger.info(f'Game {counter_games} Score: {game.score}')
logger.info(f'The agent memory length is: {len(agent.memory)}')
score_plot.append(game.score)
counter_plot.append(counter_games)
if params['train'] and counter_games % 100 == 0:
agent.model.save_weights(params['weights_path'])
logger.info("===========SAVING THE MODEL================")
with open(params['memory_path'], 'wb') as handle:
pickle.dump(agent.memory, handle)
logger.info("End Game Loop")
time_end = time.time()
epoch_timer = round((time_end - time_start), 3)
logger.info(f"One epoch takes: {epoch_timer} seconds")
eta_prediction = round(
(params['episodes'] - counter_games) * epoch_timer / 60)
logger.info(f"Time remaining is: {eta_prediction} minutes")
if params['train']:
agent.model.save_weights(params['weights_path'])
with open(params['memory_path'], 'wb') as handle:
pickle.dump(agent.memory, handle)
params['counter_plot'] = counter_plot
params['score_plot'] = score_plot
with open(params['params_path'], 'wb') as handle:
pickle.dump(params, handle)
label_file = 'data/bike_w2v' + str(w_size) + str(w_fre) + '2D_label.txt'
pds_r = 0.01
geo_tsne_file = 'data/sampling/bike_w2v' + str(w_size) + str(
w_fre) + 'geo_tsne' + '.txt'
geo_sem_file = 'data/sampling/bike_w2v' + str(w_size) + str(
w_fre) + 'geo_sem_tsne' + '.txt'
samples_pos_file = 'data/sampling/bike_w2v' + str(w_size) + str(
w_fre) + '2D_samping' + str(pds_r) + '.txt'
samples_pos1_file = 'data/sampling/bike_w2v' + str(w_size) + str(
w_fre) + '2D_samping' + str(pds_r) + '_sem.txt'
samples_name_file = 'data/sampling/bike_w2v' + str(w_size) + str(
w_fre) + '2D_samping' + str(pds_r) + '_name.txt'
samples_label_file = 'data/sampling/bike_w2v' + str(w_size) + str(
w_fre) + '2D_samping' + str(pds_r) + '_label.txt'
#tsne geo + semantic for sampling
station_data = tsne_geo_semantic(name_file, labels_file, dict_id2loc, pos_file,
geo_tsne_file, geo_sem_file)
station_data = readData(geo_sem_file)
#sampling
gene_data = copy.deepcopy(station_data)
samples = generate_uniform_points(pds_r, gene_data)
labelData(samples, station_data)
generate_data(name_file, samples_pos_file, samples_name_file)
samples_label(labels_file, samples_name_file, samples_label_file)
geo_station2sem_staion(samples_name_file, pos_file, name_file,
samples_pos1_file)
# display
display(samples)
