XiaoJiNu's repositories

yolov5-v6-chinese-comment

yolov5-v6版本注释

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albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

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awesome-parking-slot-detection

papers and codes about parking slot detection

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cmake-examples

Useful CMake Examples

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data_process_coco_yolo

用于coco和yolo数据处理的工具

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efficientteacher

A Supervised and Semi-Supervised Object Detection Library for YOLO Series

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GGHL_obb

This is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection)

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HybridNets

HybridNets: End-to-End Perception Network 多任务模型

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Lidar_AI_Solution

A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).

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llama_comment

Inference code for LLaMA models

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nanoGPT_comment_chinese

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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PaddleDetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

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Pytorch-Project-Template

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

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semantic-segmentation

SOTA Semantic Segmentation Models in PyTorch

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SOD-CNNs-based-code-summary-

The summary of code and paper for salient object detection with deep learning

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TCTrack

跟踪TCTrack: Temporal Contexts for Aerial Tracking (CVPR2022)

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TensorRT

NVIDIA® TensorRT™, an SDK for high-performance deep learning inference, includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for inference applications.

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TensorRT-For-YOLO-Series

tensorrt for yolo series, nms plugin support

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torch-template-for-deep-learning

Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.

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ultralytics_chinese_comment

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

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voc2007_for_yolo_torch

:punch: Prepare VOC format datasets for ultralytics/yolov3 & yolov5

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yolov5-5.x-annotations

一个基于yolov5-5.0的中文注释版本!

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YOLOv5-Lite

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 1.7M (int8) and 3.3M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

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yolov5_in_tf2_keras

tf2-keras implement yolov5

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yolov5_obb

yolov5 + csl_label.(Oriented Object Detection)(Rotation Detection)(Rotated BBox)基于yolov5的旋转目标检测

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YOLOv6-R

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

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YOLOv6_chinese_comment

YOLOv6_chinese_comment

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