View copy_google_drive_folders.js
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function getDriveFolderFromPath (path) { | |
return (path || "/").split("/").reduce ( function(prev,current) { | |
if (prev && current) { | |
var fldrs = prev.getFoldersByName(current); | |
return fldrs.hasNext() ? fldrs.next() : null; | |
} | |
else { | |
return current ? null : prev; | |
} | |
},DriveApp.getRootFolder()); |
View livechat-video-playback
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Video player with live chat playback |
View jpeg_to_h5.py
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import torch | |
import io | |
from PIL import Image | |
import numpy as np | |
# Dataset class for extracting binary data from images to store | |
class ImageDataset: | |
def __init__(self): | |
super(ImageDataset, self).__init__() | |
self.images = [] # some list of PIL images |
View click_heatmap.py
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import cv2 | |
import numpy as np | |
import argparse | |
''' | |
usage: python click_heatmap.py <image file> | |
left-click: add point to heatmap | |
s: save image (000.png, 001.png, ...) | |
q: quit | |
r: reset |
View hook_activations.py
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import torch | |
import torch.nn as nn | |
import torch.nn.functional as F | |
import torchvision.models as tmodels | |
from functools import partial | |
import collections | |
# dummy data: 10 batches of images with batch size 16 | |
dataset = [torch.rand(16,3,224,224).cuda() for _ in range(10)] |
View csub.sh
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cmd=$@ | |
cv_dir=`expr "$cmd" : '.*--cv_dir \([^ ]*\).*'` | |
mkdir -p $cv_dir | |
# temporarily create two files: submit.sh and run.sh | |
cat > $cv_dir/submit.sh << EOF | |
universe = vanilla | |
Executable = /lusr/bin/bash | |
Arguments = $cv_dir/run.sh |
View pad_packed_demo.py
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import torch | |
import torch.nn as nn | |
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence | |
seqs = ['gigantic_string','tiny_str','medium_str'] | |
# make <pad> idx 0 | |
vocab = ['<pad>'] + sorted(set(''.join(seqs))) | |
# make model |