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@abhishekvermasg
abhishekvermasg / client.py
Created March 14, 2021 10:34 — forked from kylehounslow/client.py
Send and receive images using Flask, Numpy and OpenCV
from __future__ import print_function
import requests
import json
import cv2
addr = 'http://localhost:5000'
test_url = addr + '/api/test'
# prepare headers for http request
content_type = 'image/jpeg'
import tensorflow as tf
mnist = tf.keras.datasets.mnist
(training_images, training_labels), (test_images, test_labels) = mnist.load_data()
training_images = training_images[:1000]
training_labels = training_labels[:1000]
test_images = test_images[:100]
test_labels = test_labels[:100]
import tensorflow as tf
mnist = tf.keras.datasets.mnist
(training_images, training_labels), (test_images, test_labels) = mnist.load_data()
training_images = training_images[:1000]
training_labels = training_labels[:1000]
test_images = test_images[:100]
test_labels = test_labels[:100]
import tensorflow as tf
mnist = tf.keras.datasets.mnist
(training_images, training_labels), (test_images, test_labels) = mnist.load_data()
training_images = training_images[:1000]
training_labels = training_labels[:1000]
test_images = test_images[:100]
test_labels = test_labels[:100]
import tensorflow as tf
mnist = tf.keras.datasets.mnist
(training_images, training_labels), (test_images, test_labels) = mnist.load_data()
training_images = training_images[:1000]
training_labels = training_labels[:1000]
test_images = test_images[:100]
test_labels = test_labels[:100]