anhlt

docker build -f ./dockerfiles/Dockerfile-server -t gsdetector:latest .

docker run -p 8000:8000 gsdetector

curl -F "file=@./red-rose-400x265.jpg" localhost:8000/predict

anhlt

" Type :help nv for help.


let mapleader=,
nnoremap <leader>d :Neovintageous action=toggle_side_bar<CR>

anhlt

import numpy as np

# Verify that we compute the same anchors as Shaoqing's matlab implementation:
#
#    >> load output/rpn_cachedir/faster_rcnn_VOC2007_ZF_stage1_rpn/anchors.mat
#    >> anchors
#
#    anchors =
#

anhlt

php artisan make:job SendReminderEmail

anhlt

"""
A deep neural network with or w/o dropout in one file.

License: Do What The Fuck You Want to Public License http://www.wtfpl.net/
"""

import numpy, theano, sys, math
from theano import tensor as T
from theano import shared
from theano.tensor.shared_randomstreams import RandomStreams

anhlt

from django.http import HttpResponse,StreamingHttpResponse
import requests
# Create your views here.
def download(request):
    # NOTE the stream=True parameter
    response = StreamingHttpResponse(generate_file(),content_type=' audio/mpeg')
    return response
def generate_file():
    url = 'http://data23.chiasenhac.com/downloads/1236/4/1235116-a758ebfb/320/Time%20In%20A%20Bottle%20-%20Jim%20Croce%20%5BMP3%20320kbps%5D.mp3'
    local_filename = url.split('/')[-1]