Popular GitHub Repositories for Angry Birds

[IEEE T-PAMI 2023] Awesome BEV perception research and cookbook for all level audience in autonomous diriving

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

This is the repository with the baseline code for the "Small Object Detection Challenge for Spotting Birds" at MVA2023.

Talk2BEV: Language-Enhanced Bird's Eye View Maps (ICRA'24)

Sound-based Bird Classification - using AI, acoustics and ornithology to classify birds in the environment, an environmental awareness project (Web Application, Flask, Python)

Supervised Classification of bird species :bird: in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data [ICVGIPW'18]

Polish bird species recognition - Bird song analysis and classification with MFCC and CNNs. Trained on EfficientNets with final score 0.88 AUC. Women in Machine Learning & Data Science project.

Birdy is a nicely designed wild bird feeder that takes photos, identifies and classifies birds. - based on Raspberry Pi, Azure IoT and Azure cognitive Service.

A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

Code for GCPR 2020 Oral : "Unsupervised Part Discovery by Unsupervised Disentanglement"

Facial Expression or Facial Emotion Detector can be used to know whether a person is sad, happy, angry and so on only through his/her face. This Repository can be used to carry out such a task.

This is all in one chatbot. When you start conversation it sees your face and identifies if it has previously talked to you(Not supported in latest versions). It also checks for your emotion in between conversation. This emotion data is then used to help you whenever it detects you are sad or angry. It can search anything you ask on the internet.

An application to automatically recognize birds, specify the species, count and save pictures of them, only by use of one camera and a Raspberry Pi. The images and recorded values are made available online on https://opensensemap.org/.

Audio classification of domestic cats sounds (hungry, angry, purring, etc) using raw waveforms. PyTorch implementation of M5 architecture.

Flutter App capable of classifying 400 different species of birds using MobileNetV2. Upload an image from Google Drive or your phone gallery to accurately predict the species of the bird.

Given a voice detecting emotion it holds. Such as - Angry, Happy, Sad, Disgust, Neutral, Surprise & Pleasant. Etc...

Monitor a machine operator and detect the emotional state of an operator. Send an alert if the operator is distracted or angry.

Transforming multiple vehicle-mounted camera images into a bird’s-eye view (BEV), this project employs deep learning, including a U-Net backbone for semantic segmentation and a spatial transformer module.

The idea of this project is to write a deep reinforcement learning (DRL) agent to play Angry Birds. The idea originated from the Angry Birds AI Competition.

The goal of this project is to predict the expression on the face. The expression labels are standard ones used in psychology research: angry, disgusted, fearful, happy, sad, surprised, neutral.