psm9733

psm9733's Stars

• serengil/deepface

  A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

  Language:Python15k1531.1k2.3k

• tensorflow/examples

  TensorFlow examples

  Language:Jupyter Notebook8k25907.4k

• ChanChiChoi/awesome-Face_Recognition

  papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

  4.5k2087967

• abewley/sort

  Simple, online, and realtime tracking of multiple objects in a video sequence.

  Language:Python4k741601.1k

• zzh8829/yolov3-tf2

  YoloV3 Implemented in Tensorflow 2.0

  Language:Jupyter Notebook2.5k76351909

• hunglc007/tensorflow-yolov4-tflite

  YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

  Language:Python2.3k444301.2k

• google-research-datasets/Objectron

  Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

  Language:Jupyter Notebook2.2k6566263

• Daniil-Osokin/lightweight-human-pose-estimation.pytorch

  Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

  Language:Python2.1k34311479

• WongKinYiu/ScaledYOLOv4

  Scaled-YOLOv4: Scaling Cross Stage Partial Network

  Language:Python2k42397572

• jpbarrette/curlpp

  C++ wrapper around libcURL

  Language:C++1.7k65116359

• xingyizhou/CenterNet2

  Two-stage CenterNet

  Language:Python1.2k2087188

• sfzhang15/ATSS

  Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection, CVPR, Oral, 2020

  Language:Python1.1k24103162

• lhelontra/tensorflow-on-arm

  TensorFlow for Arm

  Language:Shell1.1k44102274

• mileyan/pseudo_lidar

  (CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

  Language:Jupyter Notebook9814759217

• qjadud1994/CRNN-Keras

  CRNN (CNN+RNN) for OCR using Keras / License Plate Recognition

  Language:Python5302455192

• developer0hye/Yolo_Label

  GUI for marking bounded boxes of objects in images for training neural network YOLO

  Language:C++516854116

• sharebook-kr/pyupbit

  python wrapper for upbit API

  Language:Python5042063387

• lyl8213/Plate_Recognition-LPRnet

  Tensorflow based. Use CNN and CTC loss. It is a light network for Plate Recognition

  Language:Python2761231116

• winter2897/Real-time-Auto-License-Plate-Recognition-with-Jetson-Nano

  This repository provides you with a detailed guide on how to build a real-time license plate detection and recognition system. The source code of the repository implemented on Jetson Nano reached 40 FPS.

  Language:Python1926953

• KumaTea/tensorflow-aarch64

  TensorFlow wheels (whl) for aarch64 / ARMv8 / ARM64

  Language:HTML13681116

• alitourani/yolo-license-plate-detection

  A License-Plate detecttion application based on YOLO

  Language:Python1256654

• Elody-07/AWR-Adaptive-Weighting-Regression

  Code for paper <AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation>. Accepted by AAAI 2020.

  Language:Python12572321

• mingbocui/Generate-LicensePlate-with-GAN

  Using GAN magic to generate more realistic license plates

  Language:Python722820

• souravrs999/License-Plate-Recognition

  A pytorch implementation of a darkent trained yolov4-tiny model that can detect number plates and helmets if a number plate is detected it is passed through an OCR to recognize the number

  Language:Python726217

• seralexger/clothing-detection-ecommerce-dataset

  Clothing detection dataset

  Language:Python572116

• seriousran/face-recognition

  얼굴 인식에 대한 기술 동향 및 관련 모델 자료

  433012

• Dodant/anpr-with-yolo-v4

  Automatic License Plate Recognition using Yolo v4 (2020-1 CNU SW Capstone Design Project)

  Language:Python404327

• RoadoneP/Korean_license_plate_recognition

  Recognition KLP using Yolov4 + LPRnet🔥🔥

  Language:Python11110

• nalnez13/det_lab

  Language:Python2

• nalnez13/Keras-Object-Detector

  Language:Python1