A series of hands-on workshops to introduce beginners to web development and basic front-end design.

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

This repo explains the custom object detection training using Yolov8.

The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

nannyml: post-deployment data science in python

OpenCv project for cropping image in circle.

Yolov5 : You Look Only Once v5 Learning Resources and Collection

The devkit of the nuScenes dataset.

YOLO 3D Object Detection for Autonomous Driving Vehicle

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencode…

[ICRA 2021] Deep Learning on 3D Object Detection for Automatic Plug-in Charging Using a Mobile Manipulator

RetinaNet for Object Detection in TensorFlow2 and Applications

A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.

500 AI Machine learning Deep learning Computer vision NLP Projects with code

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 came…

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

Collection of papers and other resources for object tracking and detection using deep learning

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

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. …

腾讯优图高精度双分支人脸检测器

Deep Learning with PyTorch 1.x, published by Packt

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

A faster pytorch implementation of faster r-cnn

Person Detection using the EfficientNet B0 and Light Head RCNN running at 12 FPS