chaets/cogniac

Augmentation app

Imported packages for using api

import cv2
import numpy as np
import json
import base64, requests
import io, flask
from PIL import Image

This is basic Autumentation API

Limitations

No Concurrency and Parallism is supported

Feature

rotate, resize, crop

File description

Api.pi which is basically revoking all the endpoints for passing the values

http://localhost:5000/rotate

http://localhost:5000/resize

http://localhost:5000/crop

everyone requires image as input and some other arguments(as data payload)

Running Instruction

Run docker-compose up -d --build (This will build and make the container up and running with localhost endpoint at 5000 port open for rest request)

then Run this augment.pynb file to check all restful endpoints

Rotate with no angle provided

url = 'http://localhost:5000/rotate'
my_img = {'image': open('./images/satelliite/106.png', 'rb')}
payload = {'angle':"50"}
response = requests.post(url, files=my_img, data=payload)
print(response.text)
# convert server response into JSON format.
im_b64 = response.json()['image']
im_binary = base64.b64decode(im_b64)
buf = io.BytesIO(im_binary)
img = Image.open(buf)
img

Rotate with angle provided

url = 'http://127.0.0.1:5000/rotate'
my_img = {'image': open('./images/satelliite/106.png', 'rb')}
payload = {}
response = requests.post(url, files=my_img, data=payload)
print(response.text)
# convert server response into JSON format.
im_b64 = response.json()['image']
im_binary = base64.b64decode(im_b64)
buf = io.BytesIO(im_binary)
img = Image.open(buf)
img

Resizing with No dimention provided

url = 'http://127.0.0.1:5000/resize'
my_img = {'image': open('./images/satelliite/106.png', 'rb')}

payload = {}
response = requests.post(url, files=my_img, data=payload)
# convert server response into JSON format.
im_b64 = response.json()['image']
im_binary = base64.b64decode(im_b64)
buf = io.BytesIO(im_binary)
img = Image.open(buf)
img

Resizing with dimention provided

url = 'http://127.0.0.1:5000/resize'
my_img = {'image': open('./images/satelliite/106.png', 'rb')}

payload = {"lengthScale":"25", "breadthScale":"25"}
response = requests.post(url, files=my_img, data=payload)
# convert server response into JSON format.
im_b64 = response.json()['image']
im_binary = base64.b64decode(im_b64)
buf = io.BytesIO(im_binary)
img = Image.open(buf)

img

Croping with no dimention provided

url = 'http://127.0.0.1:5000/crop'
my_img = {'image': open('./images/satelliite/106.png', 'rb')}

payload = {"x":"150","x1":"1500","y":"150", "y1":"1500"}
response = requests.post(url, files=my_img, data=payload)
# convert server response into JSON format.
im_b64 = response.json()['image']
im_binary = base64.b64decode(im_b64)
buf = io.BytesIO(im_binary)
img = Image.open(buf)

img

Croping with no dimention provided

url = 'http://127.0.0.1:5000/crop'
my_img = {'image': open('./images/satelliite/106.png', 'rb')}

payload = {}
response = requests.post(url, files=my_img, data=payload)
# convert server response into JSON format.
im_b64 = response.json()['image']
im_binary = base64.b64decode(im_b64)
buf = io.BytesIO(im_binary)
img = Image.open(buf)

img