jessmin Goto Github PK

2d3d_my

cotnet

This is an official implementation for "Contextual Transformer Networks for Visual Recognition".

cpp_learning

dear_cuda

dear_cv

dear_cython

dear_opencv

detection

dl_utils

deeplearning utils

go_leetcode

hwac2023

kaggle-project

learnopengl

master-mmocr

Re-implementation of MASTER by mmocr

matting

mmdetection-competition

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

opencv

Open Source Computer Vision Library

paddledetection-competition

paddleocr

Awesome multilingual OCR toolkits based on PaddlePaddle （practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices）

paddleocr-competition

paddleseg

End-to-end image segmentation kit based on PaddlePaddle.

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.

segmentation

super-resolution

tablemaster-mmocr

2nd solution of ICDAR 2021 Competition on Scientific Literature Parsing, Task B.

transformer-explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite