The uncompromising Python code formatter

Official implementations for paper: Anydoor: zero-shot object-level image customization

Scaled-YOLOv4: Scaling Cross Stage Partial Network

[NeurIPS 2023] MotionGPT: Human Motion as a Foreign Language, a unified motion-language generation model using LLMs

Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding b…

Fast and accurate object detection with end-to-end GPU optimization

[CVPR 2023] Executing your Commands via Motion Diffusion in Latent Space, a fast and high-quality motion diffusion model

A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using o…

Official code of the paper "Align Deep Features for Oriented Object Detection"

Draw bounding boxes on raw images based on YOLO format annotation. Help to check the correctness of annotation and extract the images with wrong boxes.

Streamlit tool to explore coco datasets

A python script to draw bounding boxes on ground truth and detections for YOLO styled annotations and VOC too.

Generally, we can draw bounding boxes using the coordinates given as X_min, Y_min , X_max, Y_max OR X, Y ,W, H, but when these coordinates are normalizes to the scale of 0-1 ( for ex, images annota…