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arc

A vision-based Automatic Retail Checkout System

arcface-tf2

ArcFace unofficial Implemented in Tensorflow 2.0+ (ResNet50, MobileNetV2). "ArcFace: Additive Angular Margin Loss for Deep Face Recognition" Published in CVPR 2019. With Colab.

awesome-ocr

Links to awesome OCR projects

awesome-tiny-object-detection

🕶 A curated list of Tiny Object Detection papers and related resources.

birchengine

Start

cross-camera-multi-target-tracking

cvpce

Computer vision based planogram compliance evaluation

dcl

Destruction and Construction Learning for Fine-grained Image Recognition

doctorglm

基于ChatGLM-6B的中文问诊模型

efficientdet

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

face-detection-with-mobilenet-ssd

Face detection with mobilenet-ssd written by tf.keras.

facenet-and-faceloss-collections-tensorflow2.0

Facenet implemented by tensorflow2.0-keras api and in eager-mode support CenterLoss, LSoftmaxLoss, L2SoftmaxLoss, AMSoftmaxLoss, ASoftmaxLoss, ArcFaceSoftmaxLoss

facenet-tf2

这是一个facenet-tf2的库，可以用于训练自己的人脸识别模型

fairmot

[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking

faster_rcnn_for_open_images_dataset_keras

Faster R-CNN for Open Images Dataset by Keras

focal-loss

TensorFlow implementation of focal loss

hand-detection-tutorial

A tutorial on how to train a hand detector with TensorFlow Object Detection API

hand_detection

A Light CNN based Method for Hand Detection and Orientation Estimation

handtracking

Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow

homography-based-motdt

MOTDT with Homography Matrix for Multi-Object Tracking

image-classification-pipeline

This is a pipeline which can be used to classify ‘N’ number of classes feed as images. It can accept input in the form of ’.csv’, ‘.json’ and unsplit dataset. It has training, testing, prediction and validation classes for their respective purposes with a preprocessing template. It has functionality to choose model, to store partially or fully trained models as well as weights. It has a setup file named config.py which consists all the project settings from dataset type selection to model training.

image2binarytest

mnist_transfermodel

models

Models and examples built with TensorFlow

multi-camera-live-object-tracking

Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.

multi-camera-object-tracking

Track an object across a CCTV Network with non-overlapping camera views.

multi-camera-object-tracking-via-transferring-representation-to-top-view

Multi-Camera Object Tracking via Deep Metric Learning

multi-camera-person-tracking-and-re-identification

Simple model to Track and Re-identify individuals in different cameras/videos.(Yolov3 & Yolov4)

object_detection_tracking

Out-of-the-box code and models for CMU's object detection and tracking system for multi-camera surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20

onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator