sudo apt-get install python3-pip
sudo pip3 install virtualenv
@echo OFF | |
rem How to run a Python script in a given conda environment from a batch file. | |
rem It doesn't require: | |
rem - conda to be in the PATH | |
rem - cmd.exe to be initialized with conda init | |
rem Define here the path to your conda installation | |
set CONDAPATH=C:\ProgramData\Miniconda3 | |
rem Define here the name of the environment |
#from __future__ import absolute_import | |
from keras.preprocessing.image import ImageDataGenerator, array_to_img, img_to_array, load_img | |
from keras.callbacks import ModelCheckpoint | |
from keras.models import Sequential | |
from keras.layers import Convolution2D, MaxPooling2D | |
from keras.layers import Layer, Dense, Dropout, Activation, Flatten, Reshape, Merge, Permute | |
from keras.layers import ZeroPadding2D, UpSampling2D | |
from keras.layers.normalization import BatchNormalization | |
import sys |
from matplotlib import pyplot as plt | |
import cv2 | |
img = cv2.imread('/Users/mustafa/test.jpg') | |
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) | |
plt.imshow(gray) | |
plt.title('my picture') | |
plt.show() |
#!/usr/bin/env python | |
# -*- coding: utf-8 -*- | |
from flask import Flask, stream_with_context, request, Response, flash | |
from time import sleep | |
app = Flask(__name__) | |
def stream_template(template_name, **context): |
def add_cors_headers(response): | |
response.headers['Access-Control-Allow-Origin'] = '*' | |
if request.method == 'OPTIONS': | |
response.headers['Access-Control-Allow-Methods'] = 'DELETE, GET, POST, PUT' | |
headers = request.headers.get('Access-Control-Request-Headers') | |
if headers: | |
response.headers['Access-Control-Allow-Headers'] = headers | |
return response | |
app.after_request(add_cors_headers) |