import bettercam
import pathlib
import torch
import time
import cv2
import mss
import os

temp = pathlib.PosixPath
pathlib.PosixPath = pathlib.WindowsPath

current_path = os.path.dirname(os.path.abspath(__file__))
model_path = None
for file in os.listdir(current_path):
    if file.endswith(".pt"):
        model_path = os.path.join(current_path, file)
        break
if model_path is None:
    print("No model found. Place it in the same folder as this script.")
    exit()
model = torch.hub.load('ultralytics/yolov5', 'custom', path=model_path, force_reload=True)

sct = mss.mss()
monitor = sct.monitors[1]
screen_x = monitor["left"]
screen_y = monitor["top"]
screen_width = monitor["width"]
screen_height = monitor["height"]

camera = bettercam.create(output_color="RGB", output_idx=0)

cv2.namedWindow('YOLOv5 Detection', cv2.WINDOW_NORMAL)
cv2.resizeWindow('YOLOv5 Detection', 960, 540)
cv2.setWindowProperty('YOLOv5 Detection', cv2.WND_PROP_TOPMOST, 1)

while True:
    start_time = time.time()
    frame = camera.grab(region=(screen_x, screen_y, screen_x + screen_width, screen_y + screen_height))
    if frame is None: continue
    rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)  

    results = model(rgb_frame)

    boxes = results.pandas().xyxy[0]

    for _, box in boxes.iterrows():
        label = box['name']
        score = box['confidence']
        x, y, w, h = int(box['xmin']), int(box['ymin']), int(box['xmax'] - box['xmin']), int(box['ymax'] - box['ymin'])
        
        if label in ['map']:
            cv2.rectangle(rgb_frame, (x, y), (x + w, y + h), (0, 255, 255), 3)
            cv2.putText(rgb_frame, f"{score:.2f}", (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 1.5, (0, 255, 255), 2, cv2.LINE_AA)
        if label in ['arrow']:
            cv2.rectangle(rgb_frame, (x, y), (x + w, y + h), (255, 0, 0), 3)
            cv2.putText(rgb_frame, f"{score:.2f}", (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 1.5, (255, 0, 0), 2, cv2.LINE_AA)

    fps = round(1 / (time.time() - start_time), 1)
    cv2.putText(rgb_frame, f"FPS: {fps}", (20, 60), cv2.FONT_HERSHEY_SIMPLEX, 0.8, (255, 255, 255), 2, cv2.LINE_AA)         
    cv2.imshow('YOLOv5 Detection', rgb_frame)
    cv2.resizeWindow('YOLOv5 Detection', 854, 480)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cv2.destroyAllWindows()