pmkalshetti

# Adapted from `demo.py`

import sys; sys.path.append('..') # add settings.
import os
import torch
import cv2
import time
import pyrender
import numpy as np
import trimesh

pmkalshetti

{
  "citation": "@inproceedings{vinyals2016matching,\n  title={Matching networks for one shot learning},\n  author={Vinyals, Oriol and Blundell, Charles and Lillicrap, Timothy and Wierstra, Daan and others},\n  booktitle={Advances in neural information processing systems},\n  pages={3630--3638},\n  year={2016}\n}\n",
  "description": "miniImageNet (Vinyals et al., 2016) is a modified version of the ILSVRC-12\ndataset (Russakovsky et al., 2015), in which 600 images for each of 100 classes\nwere randomly chosen to be part of the dataset. We rely on the class split used\nby Ravi & Larochelle (2017). These splits use 64 classes for training, 16 for\nvalidation, and 20 for test. All images are of size 84 \u00d7 84 pixels.\n",
  "downloadChecksums": {
    "https://drive.google.com/uc?export=download&id=16V_ZlkW4SsnNDtnGmaBRq2OoPmUOc5mY": "30052347dd33f3ea3ee4a4ad65d72152bf657aac41891299dfa614a3235947ed"
  },
  "location": {
    "urls": [
      "https://github.com/renmengye/few-shot-ssl-public#miniimagenet"
    ]