AI csgo2 Module

01/22/2025 06:09 Dev7#1
Hello.

Anyone selling trained module for csgo2. Just want the Module or trained weights for the AI to recognize what it's looking at and nothing else.

#################Long term partner to expand to other games##################

$500au-$2000au depending on weights.
-head
-neck
-chest
-legs
-bonus for unimplemented move mouse.-

no retard time wasters.

proof of build, modules.

Payment through Middle Man provided on Elitepvpers. Paying fee my way.

payment LTC

Can you get in contact with me.

networkbum is my discord:)
01/22/2025 10:10 Cs.Val.Frontcode#2
Quote:
Originally Posted by Dev7 View Post
Hello.

Anyone selling trained module for csgo2. Just want the Module or trained weights for the AI to recognize what it's looking at and nothing else.

#################Long term partner to expand to other games##################

$500au-$2000au depending on weights.
-head
-neck
-chest
-legs
-bonus for unimplemented move mouse.-

no retard time wasters.

proof of build, modules.

Payment through Middle Man provided on Elitepvpers. Paying fee my way.

payment LTC

# Load YOLO model
model = YOLO("yolov8n.pt") # Fine-tune this model with data containing enemy body parts

# Function to capture the screen
def capture_screen():
import pygetwindow as gw
import pyautogui

# Capture the screen and convert it to OpenCV format
screen = pyautogui.screenshot()
return cv2.cvtColor(np.array(screen), cv2.COLOR_RGB2BGR)

# Function to analyze the image
def detect_enemy_regions(image):
results = model(image)
for result in results:
for box in result.boxes:
x1, y1, x2, y2 = map(int, box.xyxy[0]) # Coordinates for the bounding box
label = box.cls # Class label (e.g., head, chest, etc.)
confidence = box.conf # Confidence score
# Draw bounding box and label
cv2.rectangle(image, (x1, y1), (x2, y2), (0, 255, 0), 2)
cv2.putText(image, f"{label}: {confidence:.2f}", (x1, y1 - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 0, 0), 2)
return image

# Main loop
def main():
while True:
# Capture the screen
frame = capture_screen()
# Analyze the captured frame
analyzed_frame = detect_enemy_regions(frame)
# Display the analyzed frame
cv2.imshow("Enemy Detection", analyzed_frame)

# Exit the loop when 'q' is pressed
if cv2.waitKey(1) & 0xFF == ord('q'):
break

cv2.destroyAllWindows()

if __name__ == "__main__":
main()


this is some of the main code, .py that i have in my ai csgo module. By using a pre trained ai, with 1000s' of tb of data, and images from csgo scenarios. It will automaticly detect set categories
01/24/2025 18:52 Crowley#3
#moved