AS-One VS ClashRoyaleBuildABot

Compare AS-One vs ClashRoyaleBuildABot and see what are their differences.

AS-One

Easy & Modular Computer Vision Detectors, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under 10 lines of code. (by augmentedstartups)
Computer Vision OpenCV yolor Yolov5 yolov7 yolox Deep Learning object-detection Pytorch Tracking ultralytics yolov8 yolo-nas
Source Code
augmentedstartups.com
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ClashRoyaleBuildABot

A platform for creating bots to play Clash Royale (by Pbatch)
clashroyale AI Computer Vision Yolov5 Adb Machine Learning bluestacks Robotics yolov8
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AS-One ClashRoyaleBuildABot
6 1
581 179
- -
9.0 6.1
7 days ago 5 months ago
Python Python
GNU General Public License v3.0 only MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

AS-One

Posts with mentions or reviews of AS-One. We have used some of these posts to build our list of alternatives and similar projects.

ClashRoyaleBuildABot

Posts with mentions or reviews of ClashRoyaleBuildABot. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing AS-One and ClashRoyaleBuildABot you can also consider the following projects:

ONNX-YOLOv7-Object-Detection - Python scripts performing object detection using the YOLOv7 model in ONNX.

CVLAB - Cross-platform object detection annotation tool. Auto annotate with your own object detection model

Deepstream - yolov5, yolov8, segmenations, face, pose, keypoints on deepstream

autodistill - Images to inference with no labeling (use foundation models to train supervised models).

easy-yolov7 - This a clean and easy-to-use implementation of YOLOv7 in PyTorch, made with ❤️ by Theos AI.

Supremacy1914_AutoAdWatcher

deep_sort_realtime - A really more real-time adaptation of deep sort

anylabeling - Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!!

gazebo_aruco_box - Cube model for Gazebo with ArUco markers.

flockfysh - A simple data vending machine that pops more out that what comes in. Use flockfysh to seamlessly pool existing datasets with quality web-scraped data to get top notch datasets.

mmyolo - OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

AS-One vs ONNX-YOLOv7-Object-Detection ClashRoyaleBuildABot vs CVLAB AS-One vs Deepstream ClashRoyaleBuildABot vs autodistill AS-One vs easy-yolov7 ClashRoyaleBuildABot vs Supremacy1914_AutoAdWatcher AS-One vs deep_sort_realtime ClashRoyaleBuildABot vs anylabeling AS-One vs gazebo_aruco_box ClashRoyaleBuildABot vs flockfysh AS-One vs mmyolo ClashRoyaleBuildABot vs deeplake