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Sun's Projects

erroroccurred icon 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

fish-detection icon 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.

kaggle_titanic icon kaggle_titanic

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

missfish icon missfish

The Marine Institute and SmartBay Under Ocean dataset

pyvideotrans icon 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

segment-anything icon 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.

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