Ma Dinghui's Projects
An annotated implementation of the Transformer paper.
CLIP + FFT/DWT/RGB = text to image/video
a star algorithm in 20240108
A star path planning algorithm demonstration created in 20240113
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Contrastive Language-Image Forensic Search allows free text searching through videos using OpenAI's machine learning model CLIP
An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
[CVPR 2021 Best Student Paper Honorable Mention, Oral] Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning on image-text and video-text tasks.
a cluster method for traffic
CODE OF HUI
End-to-End Object Detection with Transformers
Grounded Language-Image Pre-training
a simple file for learning new file
MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
This application written in Python is capable of fully automatic clustering of 2D trajectory data.
[ACM MM 2021] Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation)
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Vehicle Counting model that automatically detects the Region of Interest and Driving Trajectory. Uses YOLOv4 for object detection, DeepSORT for object tracking, k-means for clustering different tracks, and a final algorithm to generate the representative paths for each cluster. Under review LXAI Workshop at ICML 2021.
Extract vehicle trajectory/driver control information from a traffic video.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
we train UA_DETRAC dataset by yolox to achieve car detection
You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery