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#!/usr/bin/env python3
import cv2
import time
import os
import sys
import redis
import pickle
import json
import boto3
import requests
def main():
# filtered_dir = "filtered-images"
# is_images_dir = os.path.isdir(filtered_dir)
# if(is_images_dir == False):
# os.mkdir(filtered_dir)
# output_path="output.avi"
r = redis.Redis(host="10.129.28.219", port=6379, db=2)
activation_id = os.environ.get('__OW_ACTIVATION_ID')
params = json.loads(sys.argv[1])
images = []
try:
bilateral_activation_id = params["activation_id"]
parts = params["parts"]
# for i in range(0,parts):
# if os.path.exists(images_dir+'/resized_image_'+str(i)+'.jpg'):
# os.remove(images_dir+'/resized_image_'+str(i)+'.jpg')
for i in range(0,parts):
bilateral_output = "bilateral-output-image"+bilateral_activation_id+"-"+str(i)
load_image = pickle.loads(r.get(bilateral_output))
image_name = 'Image'+str(i)+'.jpg'
with open(image_name, 'wb') as f:
f.write(load_image)
images.append(image_name)
# img = cv2.imread(image_name)
# resized_result.append('resized_image_'+str(i)+'.jpg')
except Exception as e:
image_url_list = params["image_url_links"]
parts = len(image_url_list)
for i in range(0,parts):
response = requests.get(image_url_list[i])
image_name = 'Image'+str(i)+'.jpg'
with open(image_name, "wb") as f:
f.write(response.content)
images.append(image_name)
# input_images = os.listdir(path)
# for i in input_images:
# i=path+i
# images.append(i)
images.sort()
# cv2_fourcc = cv2.VideoWriter_fourcc(*'mp4v')
cv2_fourcc = cv2.VideoWriter_fourcc(*'MJPG')
frame = cv2.imread(images[0])
size = list(frame.shape)
del size[2]
size.reverse()
video = cv2.VideoWriter("output.avi",cv2_fourcc,3,size,1)
for i in range(len(images)):
video.write(cv2.imread(images[i]))
print('frame',i+1,'of',len(images))
video.release()
aws_access_key_id = os.getenv('AWS_ACCESS_KEY_ID')
aws_secret_access_key = os.getenv('AWS_SECRET_ACCESS_KEY')
aws_region = os.getenv('AWS_REGION')
bucket_name = 'dagit-store'
s3 = boto3.client('s3', aws_access_key_id=aws_access_key_id,aws_secret_access_key=aws_secret_access_key,region_name=aws_region)
s3.upload_file('output.avi', bucket_name, 'output.avi')
s3.put_object_acl(Bucket=bucket_name, Key='output.avi', ACL='public-read')
url = "https://dagit-store.s3.ap-south-1.amazonaws.com/output.avi"
print(json.dumps({"encode_output": url,
"activation_id": activation_id,
"number_of_images_processed": parts,
}))
if __name__ == "__main__":
main()