dineshj1’s gists

dineshj1 / dj_papers.bib

Last active September 17, 2024 19:58

Publication List

	@article{
	title={ZeroMimic: Distilling Robotic Manipulation Skills from Web Videos},
	authors={Zhuolun Zhao* and Junyao Shi* and Tianyou Wang and Jason Ma and Dinesh Jayaraman},
	abstract={Many recent advances in robotic manipulation
	have come through imitation learning, yet these rely largely
	on mimicking a particularly hard-to-acquire form of demon-
	strations: those collected on the same robot in the same room
	with the same objects as the trained policy must handle at test
	time. In contrast, large pre-recorded human video datasets
	demonstrating manipulation skills in-the-wild already exist,

dineshj1 / experimentlogger.py

Last active July 30, 2018 19:21

How to dump parameters to google spreadsheet to track experiments

	# First make sure you pip install google-api-python-client
	from apiclient.discovery import build
	from httplib2 import Http
	from oauth2client import file, client, tools

	def store_opts(opt): # opt is the object returned by argparse
	params = dict(opt.__dict__)

	# here I remove parameters I don't want recorded in google sheets
	params.pop('retain_in_test', None)

dineshj1 / tf_explore.py

Created February 5, 2018 01:06

Script to explore tensorflow records file

	# Written with help from http://warmspringwinds.github.io/tensorflow/tf-slim
	# /2016/12/21/tfrecords-guide/
	import os

	import ipdb
	import numpy as np
	import tensorflow as tf
	from tqdm import tqdm

	tf_dir = './'

dineshj1 / tsne visualization

Last active March 28, 2018 04:17

t-SNE visualization code

	# Dinesh Jayaraman

	# Based on code by
	# Authors: Fabian Pedregosa <fabian.pedregosa@inria.fr>
	# Olivier Grisel <olivier.grisel@ensta.org>
	# Mathieu Blondel <mathieu@mblondel.org>
	# Gael Varoquaux
	# License: BSD 3 clause (C) INRIA 2011

	print(__doc__)

dineshj1 / demo_textprogressbar.m

Last active January 27, 2017 20:53

Textprogressbar from Matlab File Exchange with small mods

	%demo_textprogressbar
	%This a demo for textprogressbar script
	textprogressbar('calculating outputs: ');
	for i=1:100,
	textprogressbar(i);
	pause(0.1);
	end
	textprogressbar('done');

dineshj1 / pycaffe training script

Created August 30, 2016 22:38

Training on Pycaffe


	import argparse
	import time

	start_time=time.time();
	################## Argument Parsing #####################################
	parser=argparse.ArgumentParser();
	parser.add_argument('-s','--solver', default='', type=str); # if empty, solver is created, else read
	parser.add_argument('-res', '--resume_from', default='', type=str); #if not empty, resumes training from given file
	parser.add_argument('-ft', '--finetune_from', default='', type=str);

dineshj1 / job_submission_script_example.m

Last active August 28, 2016 22:39

Hyperparameter optimization scripts

	function submitjobs(nosubmit, numjobs, main)
	try
	xlwrite_path='../data_utils/xlwrite/';
	addpath(xlwrite_path);
	javaaddpath([xlwrite_path 'poi_library/poi-3.8-20120326.jar']);
	javaaddpath([xlwrite_path 'poi_library/poi-ooxml-3.8-20120326.jar']);
	javaaddpath([xlwrite_path 'poi_library/poi-ooxml-schemas-3.8-20120326.jar']);
	javaaddpath([xlwrite_path 'poi_library/xmlbeans-2.3.0.jar']);
	javaaddpath([xlwrite_path 'poi_library/dom4j-1.6.1.jar']);
	javaaddpath([xlwrite_path 'poi_library/stax-api-1.0.1.jar']);

dineshj1 / image_scatter.py

Created May 24, 2016 16:46 — forked from lukemetz/image_scatter.py

Image tsne scatter plot

	from tsne import bh_sne
	import numpy as np
	from skimage.transform import resize

	from matplotlib import pyplot as plt

	def gray_to_color(img):
	if len(img.shape) == 2:
	img = np.dstack((img, img, img))
	return img

dineshj1 / cluster

Created August 6, 2014 01:13 — forked from jdeng/cluster

	// generate [0..n-1]
	auto seq = [](size_t n) -> std::vector<size_t> {
	std::vector<size_t> v(n);
	for (size_t i=0; i<n; ++i) v[i] = i;
	return v;
	};
	auto index = seq(n);

	// n * n distance matrix
	std::vector<D> dists(n * n);

Dinesh Jayaraman dineshj1