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brucelee78's starred repositories

data_prep

适用于目标检测VOC格式的数据增强工具包，包含各种像素级增广方式和形变增广，如：rotate、crop、rotation、flip、tile、滑动窗口、mosaic等；数据格式转换：coco_2_voc、xml_for_u_yolo等

Language:Python1900

Data-Set-Extension-For-Voc-DataSet

VOC数据集增强

Language:Python400

Automatic-Number-Plate-Recognition

Automatic Number Plate Recognition (ANPR) is a system capable of reading vehicle number plates without human intervention through the use of high speed image capture with supporting illumination, detection of characters within the images provided, verification of the character sequences as being those from a vehicle license plate, character recognition to convert image to text; so ending up with a set of metadata that identifies an image containing a vehicle license plate and the associated decoded text of that plate.

Language:PythonNOASSERTION1800

flexible-yolov5

More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam，dcn and so on), and tensorrt

Language:PythonGPL-3.065400

Auto_maker

大家好，这是cv调包侠开源原创项目，您可以特别方便地通过我的auto-Maker实现目标检测数据集的实时生成，包括：实时数据采集、自动标注、转换、增强，并可以直接进行yolov3、yolov4、yolov5、eficientdet等，它可以直接导出到onnx，通过openvino和tensor-RT加速，除了检测外，还支持分类算法，可以在一分钟内完成图像的智能分类。欢迎来star Hello everyone, this is me: cver open source original project, you can particularly convenient through my auto_ Maker realizes the real-time production of target detection data set, including: real data acquisition, automatic annotation, conversion, enhancement, and can directly carry out yolov3, yolov4 , yolov5, eficientdet, etc., which can be directly exported to onnx and accelerated by openvino and tensor RT. besides detection, it also supports classification algorithm, which can complete intelligent classification of images in one minute. Welcome to star~

Language:Python18900

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

Language:PythonGPL-3.02132100

crnn-pytorch

Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.

Language:PythonMIT37400

fire-and-gun-detection

Fire and Gun detection using yolov3 in videos as well as images. Training code, dataset and trained weight file available.

Language:PythonMIT6900

Weapon-Detection

Detection of people and weapons from video footage or images. The detection time was 30ms - 35ms per frame with Darknet-YOLOv4. A custom dataset was used for the training of the object detection model and data integration was performed using OIDv4 ToolKit.

Language:Jupyter NotebookApache-2.0600

AI-detection-weapons

AI-based System for Automatic Detection and Recognition of Weapons in Surveillance Video

Language:Python4400

RealTime-Weapons-Detection-CNN

A neural network project for detecting weapons and guns from live video feeds.

Language:C++MIT100

weapons-detection-Mask_RCNN

weapons detection using Mask_RCNN 5 types of weapons(Grenade - Machine Guns - Masked Faces - Pistol Hand Guns - RPG) Dataset is in the folder called weapons

Language:PythonNOASSERTION400

yolov5-tensorrt

A tensorrt implementation of yolov5: https://github.com/ultralytics/yolov5

Language:PythonApache-2.019100

yolov5_tensorRT

yolov5 pth convert tensorrt and inference

Language:Python1300

yolov5_tensorrt

Language:Python300

tensorrt_client

yolov5的tensorrt客户端

Language:Python200

yolov5_deepsort_tensorrt

This repo uses YOLOv5 and DeepSORT to implement object tracking algorithm. Also using TensorRTX to transform model to engine, and deploying all code on the NVIDIA Xavier with TensorRT further.

Language:PythonMIT16800

tensorrt_yolov5_tracker

This is a project to deploy object tracking algorithm with yolov5 and TensorRT. Sort and Deep-sort algorithm are used to track the objects.（本项目用tensorrt进行目标跟踪的部署，检测器采用yolov5，跟踪器采用sort和deep-sort）

Language:PythonMIT2500