yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测

Rotational region detection based on Faster-RCNN.

Code for AAAI 2021 paper: R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

Tool that predicts the outcome of a Dota 2 game using Machine Learning

Code used for training Faster R-CNN on DOTA

Focal Loss for Dense Rotation Object Detection

A tensorflow re-implementation of RRPN: Arbitrary-Oriented Scene Text Detection via Rotation Proposals.

This is a tensorflow implementation of R2CNN++: Multi-Dimensional Attention Based Rotation Invariant Detector with Robust Anchor Strategy.

Dota2 Mod Patcher & Toolkit for everyone to use mods easily

api for liquipedia.net

Wrapper and parser for Dota 2 WebAPI

Fast and customizable visibility detection for Dota2

A telegram bot for dota2 updates

Automatically generate configurable hero grids, based on pick rates, sorted by winrates, with adjustable ranks. Featuring WR percentages directly in-game! Data provided by STRATZ (https://stratz.com).

For Dota 2. Scrape spectral stats (spectral.gg) for the top performing heroes of the last week and put them into hero grid tier lists.

Dota 2: Changelog formatted as it should be.

2021 Learning to Understand Aerial Images Challenge on DOTA dataset

An utility for visual mod.

Animated Dota 2 chat emoticons