def play(self):
"""
Allows the bot to play the game with the human player
@type max_guess: integer
@param max_guess: holds the current max guess
@type min_guess: integer
@param min_guess: holds the current min guess
@type guess_index: integer
@param guess_index: holds the current number of guesses made
@type answer: string
@param answer: hold the bots answer to the guess
"""
max_guess = self.MAX
min_guess = self.MIN
guess_index = 0
answer = ''
#While loop to run if they haven't guessed right
while answer != 'Yeah! You guessed right!':
guess_index += 1
time.sleep(0.5)
#Logic to change the max and min guess
if answer == 'Lower!':
max_guess = guess
elif answer == 'Higher!':
min_guess = guess
#Calculate next guess
guess = int((max_guess - min_guess) / 2) + min_guess
print('{0}. Bot: Let\'s try {1}'.format(guess_index, guess))
answer = main.api(guess)
print('Bot: I have won!')
@software: PyCharm
"""
import cv2
import os
from main import api
from PIL import Image
save_path = '/home/ai/Desktop/project3/datasets/wang'
font = cv2.FONT_HERSHEY_SIMPLEX
detector = cv2.CascadeClassifier(
'/home/ai/.local/lib/python3.5/site-packages/cv2/data/haarcascade_frontalface_default.xml'
)
cap = cv2.VideoCapture(0)
print('ok')
id = 0
while True:
id += 1
ret, img = cap.read()
if id % 10 == 0:
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = detector.detectMultiScale(gray, 1.3, 5)
for (x, y, w, h) in faces:
crop_face = img[y:y + w, x:x + h]
name = api(crop_face)
cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
cv2.putText(img, name, (x, y), font, 1.2, (255, 0, 0), 2)
cv2.imshow('test', img)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
class UIBot(Widget):
"""
Graphical version of the bot class, which acts as the facilitator of the game.
@type name: string
@param name: The name of the bot
@type MAX: integer
@param MAX: maximum value of the guess
@type MIN: integer
@param MIN: minimum value of the guess
@type messages: string
@param messages: message to be printed to the screen
"""
name = 'John'
messages = StringProperty('yaa\n')
MAX = 100
MIN = 0
def welcome(self):
"""
Welcomes the player to the game. Prints the name of the bot and the game.
"""
self.write_msg('Hello! My name is {0} and I can play guessing game'.format(
self.name))
# Get game area from engine
self.MIN, self.MAX = main.get_min_and_max()
self.write_msg('Retrieved game area {0}, {1}'.format(self.MIN, self.MAX))
def play(self):
"""
Allows the bot to play the game with the human player
@type max_guess: integer
@param max_guess: holds the current max guess
@type min_guess: integer
@param min_guess: holds the current min guess
@type guess_index: integer
@param guess_index: holds the current number of guesses made
@type answer: string
@param answer: hold the bots answer to the guess
"""
max_guess = self.MAX
min_guess = self.MIN
guess_index = 0
answer = ''
#While loop to run if they haven't guessed right
while answer != 'Yeah! You guessed right!':
guess_index += 1
time.sleep(0.5)
#Logic to change the max and min guess
if answer == 'Lower!':
max_guess = guess
elif answer == 'Higher!':
min_guess = guess
#Calculate next guess
guess = int((max_guess - min_guess) / 2) + min_guess
self.write_msg('{0}. Bot: Let\'s try {1}'.format(guess_index, guess))
answer = main.api(guess)
self.write_msg('Bot: I have won!')
def test_api(self):
assert api() == 200
@file: read_camera.py @time: 2019/06/26 @contact: [email protected] @software: PyCharm """ import cv2 from main import api import os from PIL import Image import numpy as np save_path = r'E:\file\data\face\na' detector = cv2.CascadeClassifier(r'E:\conda\pkgs\libopencv-3.4.2-h20b85fd_0\Library\etc\haarcascades\haarcascade_frontalface_default.xml') cap = cv2.VideoCapture(0) print('ok') id = 0 while True: id += 1 ret, img = cap.read() if id % 10 == 0: gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) faces = detector.detectMultiScale(gray, 1.3, 5) for (x, y, w, h) in faces: crop_face = img[x:x+w, y:y+h] api(Image.fromarray(crop_face)) # cv2.imwrite(os.path.join(save_path, str(id) + '.jpg'), crop_face) cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2) # cv2.imshow('test', img) if cv2.waitKey(1) & 0xFF == ord('q'): break
def test_api(self):
with patch.object(requests, "get") as get_mock:
get_mock.return_value = mock_response = Mock()
mock_response.status_code = 200
assert api() == 200