Lightweight version of mxnet neural art implementation
Lightweight version of mxnet neural art implementation using ~4.8M SqueezeNet model. Compressed model is less than 500KB
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters an
NEW: now including code for both training and inference!
This is the official implementation with training code for SiamMask (CVPR2019). For technical details, please refer to:
Fast Online Object Tracking and Segment
A Bottom-Up Clustering Approach to Unsupervised Person Re-identification
Pytorch implementation for our paper [Link]. This code is based on the Open-ReID library.
We found a bug and fixed it by deleting line 2
JTA (Joint Track Auto) is a huge dataset for pedestrian pose estimation and tracking in urban scenarios created by exploiting the highly photorealistic video game Grand Theft Auto V. We collected a set of 512 full-HD videos (256 for training and 256 for testing), 30 seconds long, recorded at 30 fps.
View a live demo in your browser here.
Handtrack.js is a library for prototyping realtime hand detection (bounding box), directly in the browser. Underneath, it uses a trained convolutional neural network
Made in Vancouver, Canada by Picovoice
Cheetah is an on-device streaming Speech-to-Text engine. Cheetah is:
offline: runs locally without an Internet connection.
compact and computationally-e