Highscore tracking
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parent
aa2e9b27e1
commit
6b06beac24
45
game.py
45
game.py
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@ -38,7 +38,7 @@ def get_42_img(
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return img
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img42_side_len = 70
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img42_side_len: int = 70
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img42: np.ndarray = get_42_img(
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"./assets/img/42.png",
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margin_top = 100 + 20,
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@ -65,17 +65,17 @@ def add_directional_triangle(
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side_len: int,
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stretch: float,
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) -> tuple[int, int]:
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dir_vector = np.array([
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dir_vector: np.ndarray = np.array([
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x1 - x2, y1 - y2
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]).astype(np.float64)
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# normalize
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dir_vector /= np.linalg.norm(dir_vector)
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triangle_height = side_len * (3**0.5) / 2
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half_base = side_len / 2
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triangle_height: float = side_len * (3**0.5) / 2
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half_base: float = side_len / 2
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perp_vector = np.array([-dir_vector[1], dir_vector[0]])
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perp_vector: np.ndarray = np.array([-dir_vector[1], dir_vector[0]])
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apex_vertex = (int(x1 + dir_vector[0] * triangle_height * 2/3 * stretch), int(y1 + dir_vector[1] * triangle_height * 2/3 * stretch))
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left_vertex = (int(x1 - perp_vector[0] * half_base - dir_vector[0] * triangle_height/3),
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@ -83,7 +83,7 @@ def add_directional_triangle(
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right_vertex = (int(x1 + perp_vector[0] * half_base - dir_vector[0] * triangle_height/3),
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int(y1 + perp_vector[1] * half_base - dir_vector[1] * triangle_height/3))
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triangle = np.array([apex_vertex, left_vertex, right_vertex])
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triangle: np.ndarray = np.array([apex_vertex, left_vertex, right_vertex])
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cv2.drawContours(frame, [triangle], 0, rgb, -1)
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return apex_vertex
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@ -99,12 +99,14 @@ def main() -> int:
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start_sfx()
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capture: VideoCapture = cv2.VideoCapture(0)
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hands = mp_hands.Hands(max_num_hands=2)
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collected_42 = True
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img42_x = -img42_side_len - 1
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img42_y = -img42_side_len - 1
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hands: mp.solutions.hands.Hands = mp_hands.Hands(max_num_hands=2)
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collected_42: bool = True
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img42_x: int = -img42_side_len - 1
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img42_y: int = -img42_side_len - 1
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no_fingers: int = 0
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score: int = 0
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i = 0
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i: int = 0
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while True:
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success: bool
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frame: np.ndarray
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@ -123,7 +125,15 @@ def main() -> int:
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img42_x : img42_x+img42_side_len,
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] = img42
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for positions in get_finger_positions(frame, hands, add_landmarks=True):
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finger_positions = list(get_finger_positions(frame, hands, add_landmarks=True))
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if finger_positions == []:
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no_fingers += 1
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else:
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no_fingers = 0
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if no_fingers > 70:
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return score
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for positions in finger_positions:
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index_knuckle_1_pos: tuple[int, int] = (-1, -1)
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for finger_id, finger_x, finger_y in positions:
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if finger_id == FingerType.INDEX_KNUCKLE_2:
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@ -138,12 +148,19 @@ def main() -> int:
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side_len=70,
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stretch=2.0,
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)
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if not collected_42 and touches_42(apex_x, apex_y, img42_x, img42_y):
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if not collected_42 and (
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touches_42(apex_x, apex_y, img42_x, img42_y)
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or touches_42(finger_x, finger_y, img42_x, img42_y)
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):
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collected_42 = True
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i = 0
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score += 42
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collect_sfx()
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show_frame(frame, to_stdout=(not sys.stdout.isatty()))
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i += 1
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if __name__ == '__main__':
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sys.exit(main())
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score: int = main()
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with open('./.score', 'w') as score_file:
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score_file.write(str(score))
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sys.exit(0)
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@ -1,15 +1,13 @@
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#!/usr/bin/env python3
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import sys
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from time import sleep
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from typing import NoReturn
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from utils import *
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def start_game() -> int:
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def start_game() -> None:
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proc = Popen(['./start_game.sh'])
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proc.communicate()
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return proc.returncode
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def main() -> NoReturn:
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show_matrix()
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@ -6,10 +6,11 @@
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TERM_FONT='SauceCodePro Nerd Font Mono'
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TERM_FONT_SIZE='10'
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OUT_TERM='xterm-mono'
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# TERM_FULLSCREEN='-fullscreen'
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xterm \
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-bg black \
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-fg white \
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-s -fullscreen \
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${TERM_FULLSCREEN} \
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-fa "${TERM_FONT}" \
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-fs "${TERM_FONT_SIZE}" \
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-e '{
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