sunnyisabaster

Fish-Detection

For ocean environment protection, the government invested substantial time and effort in environmental protection, such as funding environment research and introducing new laws and regulations. Nowadays, artificial intelligence is considered an exact method because it may bring reforms to this area. Also, AI has acquired significant achievements, such as computer vision and deep learning fields. However, there are few publicly available, large scale underwater benchmark datasets. In this task, we first create such a dataset using videos captured by the SmartBay Ocean Observatory in Galway. Besides, a state-of-the-art deep model (Cascade Mask R-CNN) is re-trained using the benchmark dataset. The model achieved 72% mean average precision (mAP) on object detection (bounding box) and 66% mAP on the instance segmentation. Results show that the dataset created can provide sufficient information to train a deep model. Also, state-of-the-art deep models can detect and segment marine life with relatively high accuracy.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

Python27PygamePy2exe

pygameNo.1

Awesome-ChatGPT-Prompts-CN

ChatGPT调教指南|咒语指南|聊天提示词指南|学习指南

CPnP-A-Consistent-PnP-Solver

deep-head-pose

:fire::fire: Deep Learning Head Pose Estimation using PyTorch.

ErrorOccurred

一个专门上传一些微小项目和其遇到的问题的描述与解决

facenet-retinaface-pytorch

这是一个利用facenet和retinaface实现人脸识别的库，可以进行在线的人脸识别。

Kaggle_Titanic

the data and ipython notebook of my attempt to solve the kaggle titanic problem

missfish

The Marine Institute and SmartBay Under Ocean dataset

sunnyisabaster/Fish-Detection

For ocean environment protection, the government invested substantial time and effort in environmental protection, such as funding environment research and introducing new laws and regulations. Nowadays, artificial intelligence is considered an exact method because it may bring reforms to this area. Also, AI has acquired significant achievements, such as computer vision and deep learning fields. However, there are few publicly available, large scale underwater benchmark datasets. In this task, we first create such a dataset using videos captured by the SmartBay Ocean Observatory in Galway. Besides, a state-of-the-art deep model (Cascade Mask R-CNN) is re-trained using the benchmark dataset. The model achieved 72% mean average precision (mAP) on object detection (bounding box) and 66% mAP on the instance segmentation. Results show that the dataset created can provide sufficient information to train a deep model. Also, state-of-the-art deep models can detect and segment marine life with relatively high accuracy.

sunnyisabaster/mmdetection

OpenMMLab Detection Toolbox and Benchmark

sunnyisabaster/Python27PygamePy2exe

pygameNo.1

sunnyisabaster/Awesome-ChatGPT-Prompts-CN

ChatGPT调教指南|咒语指南|聊天提示词指南|学习指南

sunnyisabaster/CPnP-A-Consistent-PnP-Solver

sunnyisabaster/deep-head-pose

:fire::fire: Deep Learning Head Pose Estimation using PyTorch.

sunnyisabaster/ErrorOccurred

一个专门上传一些微小项目和其遇到的问题的描述与解决

sunnyisabaster/facenet-retinaface-pytorch

这是一个利用facenet和retinaface实现人脸识别的库，可以进行在线的人脸识别。

sunnyisabaster/Kaggle_Titanic

the data and ipython notebook of my attempt to solve the kaggle titanic problem

sunnyisabaster/missfish

The Marine Institute and SmartBay Under Ocean dataset

sunnyisabaster/PyTorch-Tutorial

Build your neural network easy and fast

sunnyisabaster/pyvideotrans

Translate the video from one language to another and add dubbing. 将视频从一种语言翻译为另一种语言，并添加配音

sunnyisabaster/RetinaFace_Pytorch

Reimplement RetinaFace with Pytorch

sunnyisabaster/segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

sunnyisabaster/sunnyisabaster.github.io