turBood's starred repositories
Detect--track-and-Count-using-YOLOv8
Step-by-step tutorial where you'll master the art of vehicle detection, tracking, and directional counting using YOLOv8
30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
yolov8-streamlit-detection-tracking
Object detection and tracking algorithm implemented for Real-Time video streams and static images.
YOLOv8-Fire-and-Smoke-Detection
This projevct aims to detect fire in forest and other areas
streamlit-CLIP-Unsplash-explorer
Explore the image embeddings of Unsplash using CLIP's image similarity
CRNN_Chinese_Characters_Rec
(CRNN) Chinese Characters Recognition.
aspect-extraction
Aspect extraction from product reviews - window-CNN+maxpool+CRF, BiLSTM+CRF, MLP+CRF
Pytorch-POS-Tagger
Part-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN
image_text_retrieval_BLIP_BLIP2
Experiments with LAVIS library to perform image2text and text2image retrieval with BLIP and BLIP2 models
CN-CLIPs-Retriever
Chinese CLIP Models for Image-Text Retrieval
chinese_clip
中文CLIP：自定义数据集，可根据文图提取向量，实现文图匹配。
TeslaLockChimeChineseFunClips
特斯拉锁车搞笑段子合集
Text2Image-Retrieval
计算机视觉课程设计-基于Chinese-CLIP的图文检索系统
Chinese-CLIP
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
MediaCrawler
小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频 ｜ 评论爬虫、微博帖子 ｜ 评论爬虫、百度贴吧帖子 ｜ 百度贴吧评论回复爬虫
CLIP-Chinese
中文CLIP预训练模型
clip-interrogator
Image to prompt with BLIP and CLIP
medical_ocr_streamlit
该项目主要是为了识别图片里面的表格数据，并将表格数据抽取处理，导出成csv的文件。整个项目会使用streamlit进行部署和展示。使用的技术：paddleocr，PPStructure，streamlit
Image-Augmentation
Image augmentation for object detection, segmentation and classification
YOLOv8-pose
YOLOv8-pose implementation using PyTorch
YOLOv5-Object-Counter
YOLOv5 with flask framework, in aims to counting vehicles in traffic
Automatic_Number_Plate_Detection_Recognition_YOLOv8
Automatic Number Plate Detection YOLOv8
deep-text-recognition-benchmark
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
Pinyin_recognize
本项目为基于深度学习的手写汉语拼音识别，采用Pytorch框架，整体采用主流深度学习文字识别算法CRNN+CTC方法，项目流程主要分为数据集采集及标注，算法构建、模型训练、预测与评估等。