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Big Update#68

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bebabinlarsson-blip wants to merge 32 commits into
Jooi025:mainfrom
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Big Update#68
bebabinlarsson-blip wants to merge 32 commits into
Jooi025:mainfrom
bebabinlarsson-blip:main

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Copilot AI and others added 22 commits May 11, 2026 10:40
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…-performance

Harden Python dependencies and refresh bot runtime/data for current Brawl Stars
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…ode-functionality

Add multi-mode gameplay profiles, team-aware targeting hooks, and predictive engagement logic
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…laggy-behavior

Stabilize runtime control loop and reduce lag/jitter in detection and input handling
Copilot AI review requested due to automatic review settings May 11, 2026 11:35

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Pull request overview

This PR is a broad “big update” focused on improving runtime efficiency (reducing busy-wait loops), making detection/class handling more extensible (class-name mapping + configurable per-class thresholds), and adding configurable gameplay profiles for solo vs. team modes (including short-horizon enemy prediction and optional teammate-aware behavior).

Changes:

  • Reduced CPU busy-waiting in capture/detection/control loops and improved thread safety patterns (more daemon=True, with lock, small sleeps).
  • Reworked detection output handling to use class-name mapping and configurable per-class thresholds, and expanded brawler stats lookup robustness.
  • Added game mode profiles (solo/team), short-term enemy movement prediction, and rank-push context fields for runtime output.

Reviewed changes

Copilot reviewed 10 out of 11 changed files in this pull request and generated 5 comments.

Show a summary per file
File Description
README.md Documents new team-mode profiles and recent performance/behavior updates.
modules/windowcapture.py Avoids deprecated NumPy API and improves threading patterns for screenshot capture.
modules/screendetect.py Adds cooldown gating + safer pixel matching and reduces idle CPU usage.
modules/detection.py Adds class-name based detection mapping, per-class thresholds, and reduces busy-waiting.
modules/bot.py Adds mode-profile driven behavior, deterministic fallback movement, and enemy prediction logic.
misc/textInstruction.md Updates setup steps to reflect constants.py and game mode configuration.
main.py Wires new Detection signature and prints mode/rank-push context; avoids busy-wait when no frame yet.
detection_test.py Updates Detection instantiation to include per-class thresholds.
constants.py Adds brawler-name normalization, mode profiles, and switches to dict-based class thresholds.
brawler_stats.json Expands roster coverage with additional brawler entries.

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

Comment thread constants.py
default_class_threshold = min(class_threshold.values())
# Backward-compatible index-based thresholds for any existing code paths.
# This list intentionally follows only the `classes` array order.
threshold = [class_threshold.get(class_name, default_class_threshold) for class_name in classes]
Comment thread constants.py
normalized_game_mode = "solo_showdown"
active_game_mode = normalized_game_mode
selected_game_mode = game_mode_profiles[active_game_mode]
centerOrder = selected_game_mode["centerOrder"]
Comment thread modules/detection.py
Comment on lines +147 to 166
tempList = [[] for _ in range(len(self.classes))]
results = self.model.predict(
screenshot,
imgsz=Constants.imgsz,
half=Constants.half,
conf=min(Constants.threshold),
verbose=False
)
result = results[0]
for box in result.boxes:
x1, y1, x2, y2 = [round(x) for x in box.xyxy[0].tolist()]
class_id = int(box.cls[0].item())
prob = round(box.conf[0].item(), 2)
threshold = Constants.threshold[class_id]
class_name = result.names.get(class_id)
if class_name is None:
continue
if class_name not in self.class_to_index:
continue
threshold = self.class_thresholds.get(class_name, min(Constants.threshold))
if prob >= threshold:
Comment thread README.md Outdated
Comment on lines +57 to +61
- Expanded `brawler_stats.json` with newer and missing brawlers for current roster coverage.
- Added configurable mode profiles for solo and team modes (`3v3`, `5v5`) with different bot behavior.
- Added class-name based detection mapping so custom models can be extended more safely.
- Added short-horizon enemy movement prediction and optional teammate-support aggression.
- Added manual rank-push context fields for current/target rank visibility.
Comment thread misc/textInstruction.md
1. Run "detection_test.py" to check if object detection is working
2. Change the brawler_name in "constants.py" to your selected Brawler's name and run "constant.py".
2. Change the brawler_name in "constants.py" to your selected brawler's name and run "constants.py" (spaces/punctuation are handled, e.g. "Mr. P" or "mr p").
3. If the brawler's stats in not found manually change the speed, attack range and height scale factor located below brawler_name at "constant.py" to the brawler's [speed and range](https://pixelcrux.com/Brawl_Stars/Brawlers/) and to find the height scale factor run "hsf_finder". Also modify sharpCorner (True if the map has many walls, otherwise False) and centerOrder ( True if brawler spawns in the middle of the map, otherwise False).
Copilot AI and others added 5 commits May 11, 2026 17:13
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Co-authored-by: bebabinlarsson-blip <248225309+bebabinlarsson-blip@users.noreply.github.com>
…verywhere

Generalize bot decision loop for team modes (3v3/5v5) beyond solo bush-hiding behavior
…otPrompt)

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…git-install

Update README install instructions to point to this fork
Copilot AI and others added 5 commits May 11, 2026 17:45
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…install-error

Update dependencies for Python 3.14 compatibility
…from bbox

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…and-fix-requirements

Fix Python 3.14 install failure, add cubebox attack, auto player position detection
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3 participants