From 0a4700e0d46b20d08e0ba008b258a2dfad9c01f5 Mon Sep 17 00:00:00 2001 From: Tector101 <118644095+Tector101@users.noreply.github.com> Date: Tue, 18 Apr 2023 08:40:03 -0600 Subject: [PATCH] Add files via upload (#90) --- main_alt.py | 254 ++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 254 insertions(+) create mode 100644 main_alt.py diff --git a/main_alt.py b/main_alt.py new file mode 100644 index 0000000..a9baf9b --- /dev/null +++ b/main_alt.py @@ -0,0 +1,254 @@ +import onnxruntime as ort +import numpy as np +import pyautogui +import pygetwindow +import gc +import numpy as np +import cv2 +import time +import win32api +import win32con +import pandas as pd +from utils.general import (cv2, non_max_suppression, xyxy2xywh) +import dxcam +import torch +import torch_directml + + +def main(): + # Portion of screen to be captured (This forms a square/rectangle around the center of screen) + screenShotHeight = 320 + screenShotWidth = 320 + + # For use in games that are 3rd person and character model interferes with the autoaim + # EXAMPLE: Fortnite and New World + aaRightShift = 0 + + # An alternative to aaRightShift + # Mark regions of the screen where your own player character is + # This will often prevent the mouse from drifting to an edge of the screen + # Format is (minX, minY, maxX, maxY) to form a rectangle + # Remember, Y coordinates start at the top and move downward (higher Y values = lower on screen) + skipRegions: list[tuple] = [ + (0, 0, 0, 0) + ] + + # Autoaim mouse movement amplifier + aaMovementAmp = .3 + + # Person Class Confidence + confidence = 0.40 + + # What key to press to quit and shutdown the autoaim + aaQuitKey = "P" + + # If you want to main slightly upwards towards the head + headshot_mode = False + + # Displays the Corrections per second in the terminal + cpsDisplay = True + + # Set to True if you want to get the visuals + visuals = False + + # Selecting the correct game window + try: + videoGameWindows = pygetwindow.getAllWindows() + print("=== All Windows ===") + for index, window in enumerate(videoGameWindows): + # only output the window if it has a meaningful title + if window.title != "": + print("[{}]: {}".format(index, window.title)) + # have the user select the window they want + try: + userInput = int(input( + "Please enter the number corresponding to the window you'd like to select: ")) + except ValueError: + print("You didn't enter a valid number. Please try again.") + return + # "save" that window as the chosen window for the rest of the script + videoGameWindow = videoGameWindows[userInput] + except Exception as e: + print("Failed to select game window: {}".format(e)) + return + + # Activate that Window + activationRetries = 30 + activationSuccess = False + while (activationRetries > 0): + try: + videoGameWindow.activate() + activationSuccess = True + break + except pygetwindow.PyGetWindowException as we: + print("Failed to activate game window: {}".format(str(we))) + print("Trying again... (you should switch to the game now)") + except Exception as e: + print("Failed to activate game window: {}".format(str(e))) + print("Read the relevant restrictions here: https://learn.microsoft.com/en-us/windows/win32/api/winuser/nf-winuser-setforegroundwindow") + activationSuccess = False + activationRetries = 0 + break + # wait a little bit before the next try + time.sleep(3.0) + activationRetries = activationRetries - 1 + # if we failed to activate the window then we'll be unable to send input to it + # so just exit the script now + if activationSuccess == False: + return + print("Successfully activated the game window...") + + + + # Starting screenshoting engine + + camera = dxcam.create(device_idx=0) + if camera is None: + print("""DXCamera failed to initialize. Some common causes are: + 1. You are on a laptop with both an integrated GPU and discrete GPU. Go into Windows Graphic Settings, select python.exe and set it to Power Saving Mode. + If that doesn't work, then read this: https://github.com/SerpentAI/D3DShot/wiki/Installation-Note:-Laptops + 2. The game is an exclusive full screen game. Set it to windowed mode.""") + return + + + # Calculating the center Autoaim box + cWidth = screenShotWidth / 2 + cHeight = screenShotHeight / 2 + + # Used for forcing garbage collection + count = 0 + sTime = time.time() + + so = ort.SessionOptions() + so.graph_optimization_level = ort.GraphOptimizationLevel.ORT_ENABLE_ALL + so.enable_mem_pattern = False + ort_sess = ort.InferenceSession('yolov5s320.onnx', sess_options=so, providers=['DmlExecutionProvider']) + def clamp(num, min_value, max_value): + return max(min(num, max_value), min_value) + + + # Main loop Quit if Q is pressed + last_mid_coord = None + while win32api.GetAsyncKeyState(ord(aaQuitKey)) == 0: + # Getting Frame + mx, my = win32api.GetCursorPos() + + # Capture a 320 x 320 region around the cursor using DXCam + # Note: you will need to install and set up DXCam properly for this code to work + cmx = clamp(mx, 180, 1740) + cmy = clamp(my, 180, 900) + region = (cmx - 160, cmy - 160, cmx + 160, cmy + 160) + + cap = camera.grab(region = region) + if cap is None: + continue + + # Normalizing Data + npImg = np.array([cap]) / 255 + npImg = npImg.astype(np.half) + npImg = np.moveaxis(npImg, 3, 1) + + # Run ML Inference + outputs = ort_sess.run(None, {'images': np.array(npImg)}) + im = torch.from_numpy(outputs[0]).to('cpu') + pred = non_max_suppression( + im, confidence, confidence, 0, False, max_det=10) + + # Get targets from ML predictions + targets = [] + for i, det in enumerate(pred): + s = "" + gn = torch.tensor(npImg.shape)[[0, 0, 0, 0]] + if len(det): + for c in det[:, -1].unique(): + n = (det[:, -1] == c).sum() # detections per class + s += f"{n} {int(c)}, " # add to string + + for *xyxy, conf, cls in reversed(det): + # normalized xywh + detTensorScreenCoords = (xyxy2xywh(torch.tensor(xyxy).view( + 1, 4)) / gn).view(-1) + detScreenCoords = ( + detTensorScreenCoords.tolist() + [float(conf)]) + isSkipped = False + for skipRegion in skipRegions: + # TODO check logic. there are some rare edge cases. + # if min and max are both within the min and max of the other, then we are fully within it + detectionWithinSkipRegion = ((xyxy[0] >= skipRegion[0] and xyxy[2] <= skipRegion[2]) + and (xyxy[1] >= skipRegion[1] and xyxy[3] <= skipRegion[3])) + # if above top edge, to the right of right edge, below bottom edge, or left of left edge, then there can be no intersection + detectionIntersectsSkipRegion = not ( + xyxy[0] > skipRegion[2] or xyxy[2] < skipRegion[0] or xyxy[1] > skipRegion[3] or xyxy[1] < skipRegion[3]) + if detectionWithinSkipRegion or detectionIntersectsSkipRegion: + isSkipped = True + break + if isSkipped == False: + targets.append(detScreenCoords) + + targets = pd.DataFrame( + targets, columns=['current_mid_x', 'current_mid_y', 'width', "height", "confidence"]) + + # If there are people in the center bounding box + if len(targets) > 0: + # Get the last persons mid coordinate if it exists + if last_mid_coord: + targets['last_mid_x'] = last_mid_coord[0] + targets['last_mid_y'] = last_mid_coord[1] + # Take distance between current person mid coordinate and last person mid coordinate + targets['dist'] = np.linalg.norm( + targets.iloc[:, [0, 1]].values - targets.iloc[:, [4, 5]], axis=1) + # This ensures the person closest to the crosshairs is the one that's targeted + targets.sort_values(by="dist", ascending=False) + + # Take the first person that shows up in the dataframe (Recall that we sort based on Euclidean distance) + xMid = targets.iloc[0].current_mid_x + yMid = targets.iloc[0].current_mid_y + + box_height = targets.iloc[0].height + if headshot_mode: + headshot_offset = box_height * 0.38 + else: + headshot_offset = 0 + mouseMove = [xMid - cWidth, (yMid - headshot_offset) - cHeight] + + + # Moving the mouse + if win32api.GetKeyState(0x14): + win32api.mouse_event(win32con.MOUSEEVENTF_MOVE, int( + mouseMove[0] * aaMovementAmp), int(mouseMove[1] * aaMovementAmp), 0, 0) + last_mid_coord = [xMid, yMid] + + else: + last_mid_coord = None + + + # Forced garbage cleanup every second + count += 1 + if (time.time() - sTime) > 1: + if cpsDisplay: + print("CPS: {}".format(count)) + count = 0 + sTime = time.time() + + # Uncomment if you keep running into memory issues + # gc.collect(generation=0) + + # See visually what the Aimbot sees + if visuals: + cv2.imshow(cv2WindowName, cap) + if (cv2.waitKey(1) & 0xFF) == ord('q'): + cv2.destroyAllWindows() + exit() + camera.stop() + + +if __name__ == "__main__": + try: + main() + except Exception as e: + import traceback + print("Please read the below message and think about how it could be solved before posting it on discord.") + traceback.print_exception(e) + print(str(e)) + print("Please read the above message and think about how it could be solved before posting it on discord.") + cv2.destroyAllWindows()