Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
machine-learning
embedded
caffe
computer-vision
deep-learning
robotics
inference
nvidia
digits
image-recognition
segmentation
object-detection
jetson-tx1
jetson
tensorrt
jetson-tx2
video-analytics
jetson-xavier
jetson-nano
jetson-xavier-nx
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Updated
Apr 12, 2022 - C++
TrackDb object is a map, but object accessors ([]) are used. Instead https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Map/set and https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Map/get should be used.
https://github.com/cvisionai/tator/blob/0ea0846c5009e5ba1577e1a09f4ef4f52b5e8885/main/static/js/annotator/annotation.js#L581