EKami

Date,Time,"Virtual Memory Committed [MB]","Virtual Memory Available [MB]","Virtual Memory Load [%]","Physical Memory Used [MB]","Physical Memory Available [MB]","Physical Memory Load [%]","Page File Usage [%]","Core VIDs (avg) [V]","Core 0 VID [V]","Core 1 VID [V]","Core 2 VID [V]","Core 3 VID [V]","Core 4 VID [V]","Core 5 VID [V]","Core 6 VID [V]","Core 7 VID [V]","Core 8 VID [V]","Core 9 VID [V]","Core 10 VID [V]","Core 11 VID [V]","Core 12 VID [V]","Core 13 VID [V]","Core 14 VID [V]","Core 15 VID [V]","Core Clocks (avg) [MHz]","Core 0 Clock (perf #1/2) [MHz]","Core 1 Clock (perf #1/1) [MHz]","Core 2 Clock (perf #5/6) [MHz]","Core 3 Clock (perf #6/7) [MHz]","Core 4 Clock (perf #4/5) [MHz]","Core 5 Clock (perf #7/8) [MHz]","Core 6 Clock (perf #2/3) [MHz]","Core 7 Clock (perf #3/4) [MHz]","Core 8 Clock (perf #13/14) [MHz]","Core 9 Clock (perf #14/15) [MHz]","Core 10 Clock (perf #15/16) [MHz]","Core 11 Clock (perf #12/13) [MHz]","Core 12 Clock (perf #10/11) [MHz]","Core 13 Clock (perf #11/12) [MHz]","Core 14 C

EKami

#!/bin/bash

set -e

if [ -z "$AWS_ACCESS_KEY_ID" ] || [ -z "$AWS_SECRET_ACCESS_KEY" ]; then
  echo "Please provide AWS credentials"
  exit 1
fi

if [ -z "$IAM_ROLE_ARN" ]; then

EKami

#!/bin/bash                                                                                                            

# https://superuser.com/questions/142945/bash-command-to-focus-a-specific-window/1627429#1627429
# To use, set a shortcut in Gnome like this: bash -c '/home/user/launch_focus_min_wayland.sh terminator'
# To check the available function names, do ALT + F2 and type "lg"
app=$1
if [[ $app == terminator ]]; then
  process_name=/usr/bin/terminator
else
  process_name=$app

EKami

-----BEGIN PGP PUBLIC KEY BLOCK-----
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EKami

EKami

mask_img = np.array(Image.open(mask.file, mode='r').convert('1'))

# Absolute WSI coordinates
dx = max(patch_x, mask.x)
dx2 = min(patch_x + self.crop_size, mask.x + mask.width)
dy = max(patch_y, mask.y)
dy2 = min(patch_y + self.crop_size, mask.y + mask.height)

# Make the coordinates relative to the mask position
dx = dx - mask.x

EKami

Traceback (most recent call last):
  File "/Users/Ekami/Programs/anaconda/envs/dl/lib/python3.6/site-packages/django/core/handlers/exception.py", line 35, in inner
    response = get_response(request)
  File "/Users/Ekami/Programs/anaconda/envs/dl/lib/python3.6/site-packages/django/core/handlers/base.py", line 128, in _get_response
    response = self.process_exception_by_middleware(e, request)
  File "/Users/Ekami/Programs/anaconda/envs/dl/lib/python3.6/site-packages/django/core/handlers/base.py", line 126, in _get_response
    response = wrapped_callback(request, *callback_args, **callback_kwargs)
  File "/Users/Ekami/Programs/anaconda/envs/dl/lib/python3.6/site-packages/django/views/generic/base.py", line 69, in view
    return self.dispatch(request, *args, **kwargs)
  File "/Users/Ekami/Programs/anaconda/envs/dl/lib/python3.6/site-packages/django/views/generic/base.py", line 89, in dispatch

EKami

Error: Failed to start algorithm - Traceback (most recent call last):
  File "/opt/algorithm/bin/pipe.py", line 14, in <module>
    algorithm = __import__('src.'+config['algoname'], fromlist=["apply"])
  File "/opt/algorithm/src/srgan_algorithmia.py", line 6, in <module>
    from torchlite.eval import eval
  File "/opt/algorithm/dependencies/torchlite/eval/eval.py", line 5, in <module>
    from torchlite.data.datasets.srgan import EvalDataset
  File "/opt/algorithm/dependencies/torchlite/data/datasets/srgan.py", line 3, in <module>
    import torchlite.nn.transforms as ttransforms
  File "/opt/algorithm/dependencies/torchlite/nn/transforms.py", line 20, in <module>

EKami

import os
import requests
from io import BytesIO
import Algorithmia
from Algorithmia.acl import ReadAcl
from torchlite.eval import eval
from pathlib import Path
from PIL import Image
import uuid

EKami

import os
import requests
from io import BytesIO
import Algorithmia
from Algorithmia.acl import ReadAcl
from torchlite.eval import eval
from pathlib import Path
from PIL import Image
import uuid