def __init__(self):
Game.screen_width = database.Database.screen_width
Game.screen_height = database.Database.screen_height
Game.highscore = database.Database.highscore
self.score = 0
self.run = True
self.pause = False
self.game_over = False
self.frame_counter = 0
self.abilities_recharge = 0
self.difficulty_spawn = database.Database.spawn_rate_on_start
self.window = None
self.background = None
self.bullets = []
self.knights = []
self.copters = []
self.bombs = []
self.player = hero.Hero()
#############
self.window = pygame.display.set_mode(
(Game.screen_width, Game.screen_height))
# self.cop_ai = copterai.AI()
pygame.display.set_caption("Game by Meleron")
images.Images()
self.launch_game()
def save_logs(conn, cacheid, logstr, user_token):
""" Save logs to the database """
cacheid = cacheid.upper()
json_object = json.loads(logstr)
page_info = json_object['pageInfo']
size = page_info['size']
total_rows = page_info['totalRows']
pages = math.ceil(total_rows / size)
if pages > 5:
pages = 5
json_array = json_object['data']
for i in range(1, pages + 1):
if i > 1:
json_array = get_more_logs(i, size, user_token)
if json_array is None:
return
for log in json_array:
l_b = logbook.LogBook()
l_b.cacheid = cacheid
l_b.logid = log['LogID']
l_b.accountid = log['AccountID']
l_b.logtype = log['LogType']
l_b.logimage = log['LogTypeImage']
l_b.logtext = htmlcode.cache_images(log['LogText'], SESSION)
l_b.created = clean_up(log['Created'])
l_b.visited = clean_up(log['Visited'])
save_log(conn, l_b)
user = users.Users()
user.accountid = log['AccountID']
user.username = log['UserName']
user.accountguid = log['AccountGuid']
user.avatarimage = log['AvatarImage']
user.findcount = log['GeocacheFindCount']
user.hidecount = log['GeocacheHideCount']
save_user(conn, user)
for img in log['Images']:
image = images.Images()
image.cacheid = cacheid
image.accountid = log['AccountID']
image.imageid = img['ImageID']
image.logid = log['LogID']
image.filename = img['FileName']
image.created = clean_up(img['Created'])
image.name = img['Name']
image.descr = img['Descr']
save_image(conn, image)
def __init__():
Game.window = pygame.display.set_mode((Game.screen_width, Game.screen_height))
pygame.display.set_caption("Game by Meleron")
#Game.left_sprites = images.Images.load_images_set("pics\Left_Armature_RUN_", 16)
#Game.right_sprites = images.Images.load_images_set("pics\Right_Armature_RUN_", 16)
#Game.background = images.Images.load_image("pics\Flat Nature Art.png")
images.Images()
Game.left_sprites = images.Images.left_sprites
Game.right_sprites = images.Images.right_sprites
Game.background = images.Images.background
Game.launch_game()
def next_frame(self, net, style_data, subject_data, layer):
im = images.Images()
sigma = self.__get_sigma(self.iteration)
step_size = self.__get_step_size(self.iteration)
self.__take_steps(net, sigma, step_size, style_data, subject_data, layer)
self.iteration += 1
return im.visualize_src(net)
def get_image(conn, imageid):
""" return image array from db """
cursor = conn.cursor()
cursor.execute("SELECT * from cacheimages where imageid = ?", (imageid, ))
ret = cursor.fetchone()
cursor.close()
if ret is not None and ret[0] != "":
image = images.Images()
image.cacheid = ret[0]
image.accountid = ret[1]
image.imageid = ret[2]
image.logid = ret[3]
image.filename = ret[4]
image.created = ret[5]
image.name = ret[6]
image.descr = ret[7]
row = image
else:
row = None
return row
import images as im
#generate csv from filesystem
#i used ../data/data_laika_loading.py
# open database connction
image_table = im.Images()
#get all images
#images = image_table.get_all()
#get all with a substring
# something like this sql = "SELECT * FROM IMAGES where TAGS LIKE '%" + tag + "%'"
images = image_table.get_all_by_tag("test")
for name, row in images.iterrows():
print(row['filename'], row['tags'])
from dataclasses import asdict
import logging
from flask import Flask, send_file, render_template, request
from flask_restful import Api, Resource
from werkzeug.exceptions import NotFound
import images as img
logging.basicConfig(level=logging.DEBUG)
app = Flask(__name__)
api = Api(app)
images = img.Images("dane", "opisane")
@app.route("/")
def main_page():
return render_template("main_page.html")
@app.route("/image")
def get_image():
id = request.args.get("id")
try:
file_object = images.get_image(id).asPng()
except img.ImageNotExistsError as e:
raise NotFound(str(e)) from e
return send_file(file_object, mimetype="image/PNG")
def _downloadData(classNames, imagesPerClass):
images = imgs.Images(IMAGES_DIR, 64, 64, imagesPerClass)
for className in classNames:
if not _doesImagesExists(className, imagesPerClass):
images.downloadImages(className)
import images as im
import random
import csv
#generate csv from filesystem
#i used ../data/data_missing_link_groundtruth_loading.py
IMAGE_CSV = '../data/data/MissingLink_Groundtruth_PNG.csv'
# open database connction
image_table = im.Images(db_location="127.0.0.1", db_port=63333)
# blow away entire db and rebuild from ../data/data/Laika-Kubo.csv
def refresh_images():
# drop teh images table
image_table.drop_table()
# create a images table from scratch
image_table.create_table()
# fill the images table from csv
image_table.fill_table(path=IMAGE_CSV)
#
# save your work
image_table.commit()
def add_tag(file, tag):
image = None
if isinstance(file, (int)):
image = image_table.get_by_index(file)
def main():
env = images.Images(os.getcwd())
maxEpisode = 5000
replayBuffer = deque()
with tf.Session() as sess:
mainDQN = DQN.DQN(sess)
tf.global_variables_initializer().run()
saver = tf.train.Saver()
for episode in range(maxEpisode):
e = 1. / ((episode / 10) + 1)
done = False
stepCounter = 0
env.restart()
state = env.initState()
print("episode : %d" % episode)
while not done:
if np.random.rand(1) < e:
action = random.randrange(10, 170)
print("Episode : %d random degree : %d" %
(episode, action))
else:
action = mainDQN.predict(state)[0]
action = np.argmax(action) + 10
print("Episode : %d predict degree : %d" %
(episode, action))
# action.index(max(action)) + 10
nextState, reward, done = env.action(action)
if done:
reward = -100
replayBuffer.append((state, action, reward, nextState, done))
print("next State length : %d" % len(nextState))
# URL = "http://192.168.190.130:8000/"
URL = "http://35.200.208.151/"
current_state = ",".join(map(str, state[:42]))
next_state = ",".join(map(str, nextState[:42]))
round = nextState[42]
ball_position = nextState[43]
ball_number = nextState[44]
print(
"------------------------------------------------------------"
)
print("current_state : %s" % type(current_state))
print("next_state : %s" % type(next_state))
print("round : %s" % type(round))
print("ball_position : %s" % type(ball_position))
print("action : %s" % type(action))
print("done : %s" % type(done))
requests.post(URL,
data=json.dumps({
"current_state": current_state,
"next_state": next_state,
"round": int(round),
"ball_position": ball_position,
"ball_number": int(ball_number),
"action": int(action),
"done": done
}))
if len(replayBuffer) > REPLAY_MEMORY:
replayBuffer.popleft()
state = nextState
stepCounter += 1
print("Episode : {} steps : {}".format(episode, stepCounter))
if episode % 10 == 2:
for _ in range(50):
miniBatch = random.sample(replayBuffer, 10)
loss, _ = simpleReplayTrain(mainDQN, miniBatch)
print("Loss :", loss)
saver.save(sess, "./save/DQN/model")