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Colorbot HSV parameter tuning for Purple enemy outlines in UE games

colorbot_crafter
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1 months ago · Jul 9, 2026 5:23 PM
#1

Optimal OpenCV HSV color range filters for detecting high-contrast purple enemy outlines:

PYTHON
import cv2
import numpy as np

# Purple Enemy Outline HSV thresholds (Hue: 0-180 in OpenCV)
LOWER_PURPLE = np.array([140, 110, 140], dtype=np.uint8)
UPPER_PURPLE = np.array([160, 255, 255], dtype=np.uint8)

def process_frame(frame):
    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
    mask = cv2.inRange(hsv, LOWER_PURPLE, UPPER_PURPLE)
    contours, _ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
    # Find contour closest to screen center...
    return contours

Filters out map background textures (Haven, Ascent, Bind) with 0 false positives.

recoil_god
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1 months ago · Jul 9, 2026 6:24 PM
#2

Set the detection ROI (Region of Interest) to a 120x120 box around crosshair center so OpenCV runs in < 2ms per frame.

colorbot_crafter
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1 months ago · Jul 10, 2026 4:29 AM
#3

Using CuPy / PyTorch with CUDA tensors makes the mask filtering instantaneous on modern GPUs.