Tag: Computer Vision

  • TRTorch: A compiler for TorchScript Targeting NVIDIA GPUs

    Writing a compiler for PyTorch that optmizes neural nets for NVIDIA GPUs

    March 20, 2020 - 18 minute read - cv ai
  • Real Time Autonomous Vehicle Perception on Heterogenous Hardware

    Showing how you can use DRIVE AGX and its suite of accelerators to achive real-time perception for self driving cars

    April 12, 2019 - 1 minute read - cv ai
  • TensorRT Python API

    Making NVIDIA's Neural Network Optimizer accessible to the everyday data scientist

    September 27, 2017 - 13 minute read - cv ai
  • Peter Pan: Semantic Image Compression

    A method for compressing images, prioritizing semantically important data

    June 15, 2016 - 5 minute read - cv cg hackathons
  • 3DFS: Deformable Dense Depth Fusion and Segmentation for Object Reconstruction from a Handheld Camera

    We propose an approach for 3D reconstruction and segmentation of a single object placed on a flat surface from an input video. Our approach is to perform dense depth map estimation for multiple views using a proposed objective function that preserves detail. The resulting depth maps are then fused using a proposed implicit surface function that is robust to estimation error, producing a smooth surface reconstruction of the entire scene. Finally, the object is segmented from the remaining scene using a proposed 2D-3D segmentation that incorporates image and depth cues with priors and regularization over the 3D volume and 2D segmentations. We evaluate 3D reconstructions qualitatively on our Object-Videos dataset, comparing to fusion, multiview stereo, and segmentation baselines. We also quantitatively evaluate the dense depth estimation using the RGBD Scenes V2 dataset [Henry et al. 2013] and the segmentation using keyframe annotations of the Object-Videos dataset.

    June 5, 2016 - 3 minute read - cv cg