Emad Ehsan emadehsan

In the Tests tab of your request, type this code

let cookie = postman.getResponseHeader("Set-Cookie");
postman.setEnvironmentVariable("cookie", cookie);

This will set an environment vairable. In all the requests that need cookie, add to the Request Header

Key: Cookie

	# register this function, so JS code could call this
	output.register_callback('notebook.run_algo', run_algo)

	# put the JS code in cell and run it
	take_photo()

	import IPython
	import time
	import sys
	import numpy as np
	import cv2
	import base64
	import logging

	from google.colab import output
	from PIL import Image

	from IPython.display import display, Javascript
	from google.colab.output import eval_js
	from base64 import b64decode

	def take_photo(filename='photo.jpg', quality=0.8):
	js = Javascript('''
	// ...
	// JavaScript code here <<==
	// ...
	''')

	async function takePhoto(quality) {
	// create html elements
	const div = document.createElement('div');
	const video = document.createElement('video');
	video.style.display = 'block';

	// request the stream. This will ask for Permission to access
	// a connected Camera/Webcam
	const stream = await navigator.mediaDevices.getUserMedia({video: true});

	Processing 1 images
	image shape: (425, 640, 3) min: 0.00000 max: 255.00000 uint8
	molded_images shape: (1, 1024, 1024, 3) min: -123.70000 max: 151.10000 float64
	image_metas shape: (1, 93) min: 0.00000 max: 1024.00000 float64
	anchors shape: (1, 261888, 4) min: -0.35390 max: 1.29134 float32

	# Load a random image from the images folder
	file_names = next(os.walk(IMAGE_DIR))[2]
	image = skimage.io.imread(os.path.join(IMAGE_DIR, random.choice(file_names)))

	# Run detection
	results = model.detect([image], verbose=1)

	# Visualize results
	r = results[0]
	visualize.display_instances(image, r['rois'], r['masks'], r['class_ids'],

	# Create model object in inference mode.
	model = modellib.MaskRCNN(mode="inference", model_dir=MODEL_DIR, config=config)

	# Load weights trained on MS-COCO
	model.load_weights(COCO_MODEL_PATH, by_name=True)

	import os
	import sys
	import random
	import math
	import numpy as np
	import skimage.io
	import matplotlib
	import matplotlib.pyplot as plt

	# Root directory of the project