27 Open source projects that are alternatives of or similar to detect-waste

Remove Command using a trash box.

A crossplatform go library for moving files to the trashbin

QuarkDet lightweight object detection in PyTorch .Real-Time Object Detection on Mobile Devices.

Using modanet fashion dataset, the clothes images were classified under 5 season (summer,winter,spring,autumn,all).

Move files and directories to the trash

Calculates trash pickup dates by using an ical calendar

🔮 [C#] Source code randomizer and compiler

a safe-remove utility for the command line

An aggregate void to yell into about Nvidia's terrible Linux drivers!

A near drop-in replacement for rm that uses the trash bin. Written in D

🧹 Clear the Visual Studio solution cache, free up your disk space!

Provides sensors for some Dutch waste collectors

Make Emacs' delete-by-moving-to-trash do what you expect it to do on OS X.

A file plugin help you remove old files after webpack (v5) bundling

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

Mask RCNN in TensorFlow

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Google Brain AutoML

AIAssistC是一个AI游戏助手，使用OpenCv、DNN、Tensorflow、ssd_mobilenet/efficientdet、hidriver、MFC等技术，截取游戏屏幕进行对象识别，使用虚拟鼠标键盘驱动实现自动瞄准/自动开枪等功能，提升玩家的游戏体验。

物体検出を用いてNARUTOの印(子～亥、壬、合掌)を検出するモデルとサンプルプログラムです。このリポジトリでは、YOLOXを使用しています(This is a model and sample program that detects NARUTO's hand sign using object detection. This repository use YOLOX.)

Tensorflow2 Object Detection APIのハンズオン用資料です(Hands-on documentation for the Tensorflow2 Object Detection API)

PyTorch Implementation of the state-of-the-art model for object detection EfficientDet [pre-trained weights provided]

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

Summary of Transformer applications for computer vision tasks.

Handwritten text recognition using transformers.

A Tensorflow implementation of the DETR object detection architecture.

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.