Highscore tracking

.score

@@ -0,0 +1 @@
+168

game.py

@@ -2,38 +2,12 @@
 
 import sys
 import random
-from enum import Enum
-from typing import NoReturn, Generator
-from types import ModuleType
-from subprocess import Popen
 
 import numpy as np
-import mediapipe as mp
 import cv2
 from cv2 import VideoCapture
 
-class FingerType(Enum):
-    BASE             = 0
-    BASE_RIGHT       = 1
-    THUMB_BASE       = 2
-    THUMB_KNUCKLE_1  = 3
-    THUMB_TIP        = 4
-    INDEX_BASE       = 5
-    INDEX_KNUCKLE_1  = 6
-    INDEX_KNUCKLE_2  = 7
-    INDEX_TIP        = 8
-    MIDDLE_BASE      = 9
-    MIDDLE_KNUCKLE_1 = 10
-    MIDDLE_KNUCKLE_2 = 11
-    MIDDLE_TIP       = 12
-    RING_BASE        = 13
-    RING_KNUCKLE_1   = 14
-    RING_KNUCKLE_2   = 15
-    RING_TIP         = 16
-    PINKY_BASE       = 17
-    PINKY_KNUCKLE_1  = 18
-    PINKY_KNUCKLE_2  = 19
-    PINKY_TIP        = 20
+from utils import *
 
 def get_42_img(
     img_path: str,
@@ -64,10 +38,7 @@ def get_42_img(
 
     return img
 
-mp_hands = mp.solutions.hands
-mp_draw: ModuleType = mp.solutions.drawing_utils
-
-img42_side_len = 70
+img42_side_len: int = 70
 img42: np.ndarray = get_42_img(
     "./assets/img/42.png",
     margin_top    = 100 + 20,
@@ -94,17 +65,17 @@ def add_directional_triangle(
     side_len: int,
     stretch: float,
 ) -> tuple[int, int]:
-    dir_vector = np.array([
+    dir_vector: np.ndarray = np.array([
         x1 - x2, y1 - y2
     ]).astype(np.float64)
 
     # normalize
     dir_vector /= np.linalg.norm(dir_vector)
 
-    triangle_height = side_len * (3**0.5) / 2
-    half_base = side_len / 2
+    triangle_height: float = side_len * (3**0.5) / 2
+    half_base: float = side_len / 2
 
-    perp_vector = np.array([-dir_vector[1], dir_vector[0]])
+    perp_vector: np.ndarray = np.array([-dir_vector[1], dir_vector[0]])
 
     apex_vertex = (int(x1 + dir_vector[0] * triangle_height * 2/3 * stretch), int(y1 + dir_vector[1] * triangle_height * 2/3 * stretch))
     left_vertex = (int(x1 - perp_vector[0] * half_base - dir_vector[0] * triangle_height/3), 
@@ -112,32 +83,11 @@ def add_directional_triangle(
     right_vertex = (int(x1 + perp_vector[0] * half_base - dir_vector[0] * triangle_height/3), 
        int(y1 + perp_vector[1] * half_base - dir_vector[1] * triangle_height/3))
 
-    triangle = np.array([apex_vertex, left_vertex, right_vertex])
+    triangle: np.ndarray = np.array([apex_vertex, left_vertex, right_vertex])
     cv2.drawContours(frame, [triangle], 0, rgb, -1)
 
     return apex_vertex
 
-def get_finger_positions(
-    frame: np.ndarray,
-    hands: mp.solutions.hands.Hands,
-    add_landmarks: bool,
-) -> Generator[list[tuple[int, int, int]], None, None]:
-    height, width = frame.shape[:2]
-
-    img_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
-    results = hands.process(img_rgb)
-
-    if results.multi_hand_landmarks:
-        for hand_landmarks in results.multi_hand_landmarks:
-            positions = []
-            for id, lm in enumerate(hand_landmarks.landmark):
-                x = int(lm.x * width)
-                y = int(lm.y * height)
-                positions.append((FingerType(id), x, y))
-            yield positions
-            if add_landmarks:
-                mp_draw.draw_landmarks(frame, hand_landmarks, mp_hands.HAND_CONNECTIONS)
-
 def show_frame(frame: np.ndarray, to_stdout: bool=False) -> None:
     if to_stdout:
         sys.stdout.buffer.write(frame.tobytes())
@@ -145,19 +95,18 @@ def show_frame(frame: np.ndarray, to_stdout: bool=False) -> None:
         cv2.imshow("Image", frame)
         cv2.waitKey(1)
 
-def collect_sfx() -> None:
-    Popen(['paplay', './assets/sfx/collect.mp3'])
-
-def main() -> NoReturn:
-    Popen(['paplay', './assets/sfx/start.mp3'])
+def main() -> int:
+    start_sfx()
 
     capture: VideoCapture = cv2.VideoCapture(0)
-    hands = mp_hands.Hands(max_num_hands=2)
-    collected_42 = True
-    img42_x = -img42_side_len - 1
-    img42_y = -img42_side_len - 1
+    hands: mp.solutions.hands.Hands = mp_hands.Hands(max_num_hands=2)
+    collected_42: bool = True
+    img42_x: int = -img42_side_len - 1
+    img42_y: int = -img42_side_len - 1
+    no_fingers: int = 0
+    score: int = 0
 
-    i = 0
+    i: int = 0
     while True:
         success: bool
         frame: np.ndarray
@@ -176,7 +125,15 @@ def main() -> NoReturn:
                 img42_x : img42_x+img42_side_len,
             ] = img42
 
-        for positions in get_finger_positions(frame, hands, add_landmarks=True):
+        finger_positions = list(get_finger_positions(frame, hands, add_landmarks=True))
+        if finger_positions == []:
+            no_fingers += 1
+        else:
+            no_fingers = 0
+        if no_fingers > 70:
+            return score
+
+        for positions in finger_positions:
             index_knuckle_1_pos: tuple[int, int] = (-1, -1)
             for finger_id, finger_x, finger_y in positions:
                 if finger_id == FingerType.INDEX_KNUCKLE_2:
@@ -191,12 +148,19 @@ def main() -> NoReturn:
                         side_len=70,
                         stretch=2.0,
                     )
-                    if not collected_42 and touches_42(apex_x, apex_y, img42_x, img42_y):
+                    if not collected_42 and (
+                           touches_42(apex_x, apex_y,     img42_x, img42_y)
+                        or touches_42(finger_x, finger_y, img42_x, img42_y)
+                    ):
                         collected_42 = True
                         i = 0
+                        score += 42
                         collect_sfx()
         show_frame(frame, to_stdout=(not sys.stdout.isatty()))
         i += 1
 
 if __name__ == '__main__':
-    main()
+    score: int = main()
+    with open('./.score', 'w') as score_file:
+        score_file.write(str(score))
+    sys.exit(0)

master.py

@@ -0,0 +1,20 @@
+#!/usr/bin/env python3
+
+from time import sleep
+from typing import NoReturn
+
+from utils import *
+
+def start_game() -> None:
+    proc = Popen(['./start_game.sh'])
+    proc.communicate()
+
+def main() -> NoReturn:
+    show_matrix()
+    while True:
+        if found_hands():
+            start_game()
+        sleep(1)
+
+if __name__ == '__main__':
+    main()

pipe_intercept.py

@@ -4,18 +4,11 @@ import sys
 from typing import NoReturn
 
 def main() -> NoReturn:
-    x = 0
-    y = 0
     while True:
         chunk = sys.stdin.buffer.read(100)
         if not chunk:
             continue
-        nls = chunk.count(b'\n')
-        if nls != 0:
-            open('/dev/pts/1', 'w').write(
-                f'{nls}'
-            )
-        modified_chunk = chunk
+        modified_chunk = chunk.replace(b'X', b'.')
         sys.stdout.buffer.write(modified_chunk)
         sys.stdout.flush()
 

start_game.sh

@@ -3,13 +3,14 @@
 # st -f 'SauceCodePro Nerd Font Mono:size=10' -e sh -c '{ ./game.py | 2>/dev/null ffmpeg -y -f rawvideo -s 640x480 -pix_fmt bgr24 -i - -map 0:V:0 -filter:v "format=gray,hflip" -c:v libx265 -preset ultrafast -tune zerolatency -crf 30 -f nut - | TERM=xterm-mono CACA_DRIVER=ncurses DISPLAY= mpv --really-quiet --no-cache --no-config --vo=caca --untimed --profile=low-latency - || { echo Error 1>&2; read X; }; }'
 # st -f 'SauceCodePro Nerd Font Mono:size=10' -e sh -c '{ ./game.py | 2>/dev/null ffmpeg -y -f rawvideo -s 640x480 -pix_fmt bgr24 -i - -map 0:V:0 -filter:v "format=gray,hflip" -c:v libx264 -preset ultrafast -tune zerolatency -crf 30 -f nut - | TERM=xterm-mono CACA_DRIVER=ncurses DISPLAY= mpv --really-quiet --no-cache --no-config --vo=tct --untimed --profile=low-latency - || { echo Error 1>&2; read X; }; }'
 
-export TERM_FONT='SauceCodePro Nerd Font Mono'
-export TERM_FONT_SIZE='10'
-export OUT_TERM='xterm-mono'
+TERM_FONT='SauceCodePro Nerd Font Mono'
+TERM_FONT_SIZE='10'
+OUT_TERM='xterm-mono'
+# TERM_FULLSCREEN='-fullscreen'
 xterm \
 	-bg black \
 	-fg white \
-	-s -fullscreen \
+	${TERM_FULLSCREEN} \
 	-fa "${TERM_FONT}" \
 	-fs "${TERM_FONT_SIZE}" \
 	-e '{

utils.py

@@ -0,0 +1,75 @@
+from enum import Enum
+from subprocess import Popen
+from typing import Generator
+from types import ModuleType
+
+import numpy as np
+import mediapipe as mp
+import cv2
+from cv2 import VideoCapture
+
+mp_hands = mp.solutions.hands
+mp_draw: ModuleType = mp.solutions.drawing_utils
+
+class FingerType(Enum):
+    BASE             = 0
+    BASE_RIGHT       = 1
+    THUMB_BASE       = 2
+    THUMB_KNUCKLE_1  = 3
+    THUMB_TIP        = 4
+    INDEX_BASE       = 5
+    INDEX_KNUCKLE_1  = 6
+    INDEX_KNUCKLE_2  = 7
+    INDEX_TIP        = 8
+    MIDDLE_BASE      = 9
+    MIDDLE_KNUCKLE_1 = 10
+    MIDDLE_KNUCKLE_2 = 11
+    MIDDLE_TIP       = 12
+    RING_BASE        = 13
+    RING_KNUCKLE_1   = 14
+    RING_KNUCKLE_2   = 15
+    RING_TIP         = 16
+    PINKY_BASE       = 17
+    PINKY_KNUCKLE_1  = 18
+    PINKY_KNUCKLE_2  = 19
+    PINKY_TIP        = 20
+
+
+def collect_sfx() -> None:
+    Popen(['paplay', './assets/sfx/collect.mp3'])
+
+def start_sfx() -> None:
+    Popen(['paplay', './assets/sfx/start.mp3'])
+
+def show_matrix() -> None:
+    Popen(['tmatrix'])
+
+def found_hands() -> bool:
+    capture: VideoCapture = cv2.VideoCapture(0)
+    hands = mp_hands.Hands(max_num_hands=1)
+    success, frame = capture.read()
+    if not success:
+        return False
+
+    return list(get_finger_positions(frame, hands)) != []
+
+def get_finger_positions(
+    frame: np.ndarray,
+    hands: mp.solutions.hands.Hands,
+    add_landmarks: bool=False,
+) -> Generator[list[tuple[int, int, int]], None, None]:
+    height, width = frame.shape[:2]
+
+    img_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+    results = hands.process(img_rgb)
+
+    if results.multi_hand_landmarks:
+        for hand_landmarks in results.multi_hand_landmarks:
+            positions = []
+            for id, lm in enumerate(hand_landmarks.landmark):
+                x = int(lm.x * width)
+                y = int(lm.y * height)
+                positions.append((FingerType(id), x, y))
+            yield positions
+            if add_landmarks:
+                mp_draw.draw_landmarks(frame, hand_landmarks, mp_hands.HAND_CONNECTIONS)