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Başlıkta dediğim gibi hile hata veriyor. Nedenini anlayamadım. Bir bakabilirseniz iyi olur.
Kod:
Hata:
Kod:
Kod:
import numpy as np
import pyautogui
import win32api, win32con, win32gui
import cv2
import math
import time
CONFIG_FILE = './yolov3.cfg'
WEIGHT_FILE = './yolov3.weights'
net = cv2.dnn.readNetFromDarknet(CONFIG_FILE, WEIGHT_FILE)
#net.setPreferableBackend(cv.dnn.DNN_BACKEND_OPENCV)
net.setPreferableBackend(cv2.dnn.DNN_BACKEND_CUDA)
net.setPreferableTarget(cv2.dnn.DNN_TARGET_CUDA)
ln = net.getLayerNames()
ln = [ln[i[0] - 1] for i in net.getUnconnectedOutLayers()]
# Get rect of Window
hwnd = win32gui.FindWindow(None, 'Counter-Strike: Global Offensive')
rect = win32gui.GetWindowRect(hwnd)
region = rect[0], rect[1], rect[2] - rect[0], rect[3] - rect[1]
size_scale = 2
while True:
# Get image of screen
frame = np.array(pyautogui.screenshot(region=region))
frame_height, frame_width = frame.shape[:2]
# Detection
blob = cv2.dnn.blobFromImage(frame, 1 / 255.0, (416, 416), swapRB=True, crop=False)
net.setInput(blob)
layerOutputs = net.forward(ln)
boxes = []
confidences = []
for output in layerOutputs:
for detection in output:
scores = detection[5:]
classID = np.argmax(scores)
confidence = scores[classID]
if confidence > 0.7 and classID == 0:
box = detection[:4] * np.array([frame_width, frame_height, frame_width, frame_height])
(centerX, centerY, width, height) = box.astype("int")
x = int(centerX - (width / 2))
y = int(centerY - (height / 2))
box = [x, y, int(width), int(height)]
boxes.append(box)
confidences.append(float(confidence))
indices = cv2.dnn.NMSBoxes(boxes, confidences, 0.7, 0.6)
# Calculate distance for picking the closest enemy from crosshair
if len(indices) > 0:
print(f"Detected:{len(indices)}")
min = 99999
min_at = 0
for i in indices.flatten():
(x, y) = (boxes[i][0], boxes[i][1])
(w, h) = (boxes[i][2], boxes[i][3])
cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 255, 255), 2)
dist = math.sqrt(math.pow(frame_width/2 - (x+w/2), 2) + math.pow(frame_height/2 - (y+h/2), 2))
if dist < min:
min = dist
min_at = i
# Distance of the closest from crosshair
x = int(boxes[min_at][0] + boxes[min_at][2]/2 - frame_width/2)
y = int(boxes[min_at][1] + boxes[min_at][3]/2 - frame_height/2) - boxes[min_at][3] * 0.5 # For head shot
# Move mouse and shoot
scale = 1.7
x = int(x * scale)
y = int(y * scale)
win32api.mouse_event(win32con.MOUSEEVENTF_MOVE, x, y, 0, 0)
time.sleep(0.05)
win32api.mouse_event(win32con.MOUSEEVENTF_LEFTDOWN, x, y, 0, 0)
time.sleep(0.1)
win32api.mouse_event(win32con.MOUSEEVENTF_LEFTUP, x, y, 0, 0)
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
frame = cv2.resize(frame, (frame.shape[1] // size_scale, frame.shape[0] // size_scale))
cv2.imshow("frame", frame)
cv2.waitKey(1)
Hata:
Kod:
Exception has occurred: error
OpenCV(4.7.0) D:\a\opencv-python\opencv-python\opencv\modules\dnn\src\darknet\darknet_importer.cpp:210: error: (-212:Parsing error) Failed to open NetParameter file: ./yolov3.cfg in function 'cv::dnn::dnn4_v20221220::readNetFromDarknet'
File "C:\Users\ibrahim\Desktop\cs go aimbot.py", line 11, in <module> net = cv2.dnn.readNetFromDarknet(CONFIG_FILE, WEIGHT_FILE) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ cv2.error: OpenCV(4.7.0) D:\a\opencv-python\opencv-python\opencv\modules\dnn\src\darknet\darknet_importer.cpp:210: error: (-212:Parsing error) Failed to open NetParameter file: ./yolov3.cfg in function 'cv::dnn::dnn4_v20221220::readNetFromDarknet'
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