Skip to content

Instantly share code, notes, and snippets.

View fyr91's full-sized avatar
🎯
Focusing

febbie fyr91

🎯
Focusing
  • Yoozoo
  • Singapore
View GitHub Profile
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
@fyr91
fyr91 / face_detection.py
Created October 30, 2019 03:26
real time face detection with an ultra_light_model
# -*- coding: utf-8 -*-
# @Author: fyr91
# @Date: 2019-10-22 15:05:15
# @Last Modified by: fyr91
# @Last Modified time: 2019-10-30 11:25:26
import cv2
import numpy as np
import onnx
import onnxruntime as ort
from onnx_tf.backend import prepare
class DZBEnv(gym.Env):
metadata = {'render.modes': ['human']}
default_settings = {
'map_name': "DefeatZerglingsAndBanelings",
'players': [sc2_env.Agent(sc2_env.Race.terran),
sc2_env.Bot(sc2_env.Race.zerg, sc2_env.Difficulty.hard)],
'agent_interface_format': features.AgentInterfaceFormat(
action_space=actions.ActionSpace.RAW,
use_raw_units=True,
import gym
from gym import spaces
from pysc2.env import sc2_env
from pysc2.lib import actions, features, units
import logging
import numpy as np
logger = logging.getLogger(__name__)
class DZBEnv(gym.Env):
import gym
from gym import error, spaces, utils
from gym.utils import seeding
class FooEnv(gym.Env):
metadata = {'render.modes': ['human']}
def __init__(self):
# usually action and observation space will be defined here
# self.action_space = spaces.Discrete() ...
{'name': 'surly-chestnut-dachsbracke', 'gene': '10011011100101100101', 'combat_power': 12, 'score': 51}
{'name': 'wimpy-indigo-falcon', 'gene': '00111010101110011111', 'combat_power': 12, 'score': 51}
{'name': 'stinky-tomato-kingfisher', 'gene': '10011011100101100101', 'combat_power': 11, 'score': 51}
{'name': 'hazy-russet-lizard', 'gene': '00111010101110011111', 'combat_power': 13, 'score': 51}
{'name': 'seedy-apricot-yak', 'gene': '10011011110100001000', 'combat_power': 9, 'score': 51}
{'name': 'tasty-chartreuse-chinchilla', 'gene': '00011001101001010000', 'combat_power': 7, 'score': 51}
{'name': 'chummy-emerald-mayfly', 'gene': '00000100001101101101', 'combat_power': 8, 'score': 51}
{'name': 'homey-amethyst-rhinoceros', 'gene': '00000010011000111100', 'combat_power': 7, 'score': 51}
{'name': 'cranky-harlequin-tetra', 'gene': '00000000101110110000', 'combat_power': 6, 'score': 51}
{'name': 'squirrely-bistre-wasp', 'gene': '01110001100010101010', 'combat_power': 9, 'score': 51}
{'name': 'surly-chestnut-dachsbracke', 'gene': '10011011100101100101', 'combat_power': 12, 'score': 51}
{'name': 'wimpy-indigo-falcon', 'gene': '00111010101110011111', 'combat_power': 12, 'score': 51}
{'name': 'stinky-tomato-kingfisher', 'gene': '10011011100101100101', 'combat_power': 11, 'score': 51}
{'name': 'hazy-russet-lizard', 'gene': '00111010101110011111', 'combat_power': 13, 'score': 51}
mutates = []
cutoff_score = mutation_pool[-1].score
for lineup in mutation_pool:
mutates.append(mutate(lineup, cutoff_score))
population.extend(mutates)
@fyr91
fyr91 / ga_1e.py
Last active October 3, 2019 10:32
# mutation
def mutate(lineup, score, prob=0.9):
gene = deepcopy(lineup.gene)
# if probability not greater than 0.9
# flip 0s
if np.random.random(1)[0] <= prob:
zero_idx = np.where(gene==0)[0]
if len(zero_idx) > 0:
idx = np.random.choice(zero_idx)
gene[idx] = 1