ammirato

ammirato's Stars

• david2611/pdq_evaluation

  Evaluation code for using probabilistic detection quality (PDQ) measure for probabilistic object detection tasks. Currently supports COCO and robotic vision challenge (RVC) data.

  Language:Python397

• Cadene/pretrained-models.pytorch

  Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

  Language:Python9.1k1.8k

• DLR-RM/AugmentedAutoencoder

  Official Code: Implicit 3D Orientation Learning for 6D Object Detection from RGB Images

  Language:Python34597

• facebookresearch/maskrcnn-benchmark

  Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

  Language:Python9.3k2.5k

• szabolcsdombi/headless-moderngl-experiment

  Headless 3D rendering with python

  Language:Python604

• fangchangma/sparse-to-dense.pytorch

  ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)

  Language:Python445101