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import threading import time from typing import List, Tuple, Optional import cv2 import numpy as np # ----------------------------------------- # RECTANGLE CLASS (IMAGE COORDS) # ----------------------------------------- class Rectangle: def __init__(self, x1: int, y1: int, x2: int, y2...

updated Python version with per‑object movement (each bounding box tracked individually), using parallel lists import threading import time import torch from torchvision import models, transforms from PIL import Image import cv2 from ultralytics import YOLO from typing import List #...

with directions import threading import time import torch from torchvision import models, transforms from PIL import Image import cv2 from ultralytics import YOLO from typing import List, Optional # ----------------------------------------- # RECTANGLE CLASS #...

full shit in the ass mode with list of recognitions, detections: import threading import time import torch from torchvision import models, transforms from PIL import Image import cv2 from ultralytics import YOLO from typing import List # ----------------------------------------- # RECTANGLE...

with image detection: import threading import time import torch from torchvision import models, transforms from PIL import Image import cv2 from ultralytics import YOLO from typing import List # ----------------------------------------- # RECTANGLE CLASS #...

pip install torch torchvision pillow Create a new file Create image_recog_threaded.py. import threading import time import torch from torchvision import models, transforms from PIL import Image import cv2 # ----------------------------- # GLOBAL STATIC RESULT VARIABLE #...

class DiRailPunk(Skill): # this skill swaps between two sets of contradicting skills def __init__(self): super().__init__() self.set_skill_type(3) # backgroundable skill self.trg: TrgHP = TrgHP() self.lim = 2 self.r1: Responder = Responder("wink"...

class Sarcophagus: def __init__(self): """Initialize the sarcophagus with an empty set of shielded items.""" self._shielded_items: set[str] = set() @property def shielded_items(self) -> set[str]: """Return a copy of the shielded items set (read-only access).""" return...

class TrgHP: def __init__(self, low: int=-10, high: int=10, regen: int=5): self.hp = 4 self.low = low self.high = high self.regen: TrgEveryNMinutes = TrgEveryNMinutes(regen) self.hit: set[str] = {"shut up", "quiet", "be quiet", "silence"} def...

fruits = ["apple", "banana", "orange", "grape", "mango"] vegetables = ["carrot", "tomato", "cucumber", "onion", "pepper"] def contains_fruit_and_vegi(text: str) -> bool: text = text.lower() has_fruit = any(f in text for f in fruits) has_vegi = any(v in text for v in vegetables)...

operations: dict[int, Callable[..., Any]]

from typing import Callable, Any operations: dict[int, Callable[..., Any]] = {}

from functools import partial class Calculator: def add(self, a, b): return a + b def sub(self, a, b): return a - b calc = Calculator() operations = { 1: partial(calc.add, 10, 3), # add(10, 3) 2: partial(calc.sub, 10, 3), # sub(10, 3) }...

class Calculator: def add(self, a, b): return a + b def sub(self, a, b): return a - b calc = Calculator() operations = { 1: calc.add, 2: calc.sub, } print(operations[1](10, 3)) # 13 print(operations[2](10, 3)) # 7

def greet(): print("Hello!") def farewell(): print("Goodbye!") def add(a, b): print(a + b) # Dictionary mapping int → function actions = { 1: greet, 2: farewell, 3: lambda: add(5, 7), # using a lambda wrapper } # Using the dictionary actions[1]() # calls greet()...