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'''
MIT license https://opensource.org/licenses/MIT Copyright 2024 Infosys Ltd
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
'''
import base64
import io
from typing import Tuple
import cv2
from PIL import Image
from privacy.service.imagePrivacy import AttributeDict, ImagePrivacy
import numpy as np
from privacy.config.logger import request_id_var
from privacy.config.logger import CustomLogger
import os
import shutil
import threading
import time
import uuid
log = CustomLogger()
path="../video/"
error_dict={}
class VideoService:
def frameAnonymization(payload,frame,indx,procFrame,request_id):
try:
# request_id_var.set(request_id)
id = uuid.uuid4().hex
request_id_var.set(id)
ipath=path+str(request_id)+"/"+str(indx)+".jpg"
# print(ipath)
# Convert the frame to PIL Image
# base64.b64encode(frame).decode()
# Image.open(base64.b64encode(frame).decode())
# print(type(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)))
imagef = Image.fromarray(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))
imagef.save(ipath)
# image=open("test.jpg","rb")
# print(type(imagef))
image={"file":ipath}
image=AttributeDict(image)
payload["image"]=image
payload["piiEntitiesToBeRedacted"]=None
# ocr=None
# global imageAnalyzerEngine
# imageAnalyzerEngine = ImageAnalyzerEngine(analyzer_engine=analyzer,ocr=ocr)
# imageRedactorEngine = ImageRedactorEngine(image_analyzer_engine=imageAnalyzerEngine)
# redacted_image = imageRedactorEngine.redact(image, (255, 192, 203))
# payload={"easyocr":"Tesseract","mag_ratio":False,"rotationFlag":False,"image":image,"portfolio":None,"account":None,"exclusion":None}
redacted_image=ImagePrivacy.image_anonymize(payload)
decoded_bytes = base64.b64decode(redacted_image)
# Create a BytesIO object to simulate a file-like object
bio = io.BytesIO(decoded_bytes)
# Use OpenCV (assuming it's an image) or other libraries to load the image from the BytesIO object
img = cv2.imdecode(np.fromstring(bio.getvalue(), np.uint8), cv2.IMREAD_COLOR)
# Convert the PIL Image back to OpenCV frame
frame = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
procFrame[indx]=frame
return (frame,indx)
# Write the frame into the file 'output.avi'
# out.write(frame)
# else:
except Exception as e:
log.error(str(e))
log.error("Line No:"+str(e.__traceback__.tb_lineno))
log.error(str(e.__traceback__.tb_frame))
# error_dict[request_id_var.get()].append({"UUID":request_id_var.get(),"function":"VideoAnalyzeMainFunction","msg":str(e.__class__.__name__),"description":str(e)+"Line No:"+str(e.__traceback__.tb_lineno)})
# ExceptionDb.create({"UUID":request_id_var.get(),"function":"textAnalyzeMainFunction","msg":str(e.__class__.__name__),"description":str(e)+"Line No:"+str(e.__traceback__.tb_lineno)})
raise Exception(e)
# break
async def videoPrivacy(payload) -> Tuple[str, str]:
error_dict[request_id_var.get()]=[]
try:
payload=AttributeDict(payload)
upload_file = payload.video
filename=upload_file.filename
id = uuid.uuid4().hex
request_id_var.set(id)
_path=path+str(id)
if(not os.path.exists(_path)):
os.makedirs(_path)
video_data = await upload_file.read()
s=time.time()
temp_file_path = path+"input.pm4"
output_file_path =path+"output3.mp4"
with open(temp_file_path, "wb") as temp_file:
temp_file.write(video_data)
video = cv2.VideoCapture(temp_file_path)
# Get video properties
width = int(video.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(video.get(cv2.CAP_PROP_FRAME_HEIGHT))
fps = video.get(cv2.CAP_PROP_FPS)
sampling_rate=int(fps*0.3)
# Define the codec and create a VideoWriter object
fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter(output_file_path, fourcc, fps, (width, height))
frameList=[]
indxList=[]
first=True
count=0
last_frame=None
log.debug("samp "+str(sampling_rate))
# audio_fps = video.get(cv2.CAP_PROP_FPS)
# fourcc = int(video.get(cv2.CAP_PROP_FOURCC))
# print("aud",audio_fps,fourcc)
# sampling_rate=1
while(video.isOpened()):
ret, frame = video.read()
# print(ret)
if ret==True:
if first:
frameList.append(frame)
indxList.append(count)
first=False
else:
if count % sampling_rate == 0:
frameList.append(frame)
indxList.append(count)
# else:
# frameList.append(None)
last_frame=frame
count+=1
else:
break
if(count%sampling_rate!=0):
frameList.append(last_frame)
indxList.append(count)
log.debug("totalFrame:"+str(count))
# print(indxList,len(indxList))
log.debug("after sampling"+str(len(frameList)))
rcount=len(frameList)
framecopy=frameList.copy()
procFrame=[None]*(count+1)
# print(len(procFrame))
# indx=0
while framecopy:
threads = []
for _ in range(min(6, len(framecopy))): # Limit calls to remaining arguments
arg = framecopy.pop(0) # Get the first argument and remove it
indx=indxList.pop(0)
thread = threading.Thread(target=VideoService.frameAnonymization, args=(payload,arg,indx,procFrame,request_id_var.get()))
thread.start()
threads.append(thread)
# print(thread)
indx+=1
# Wait for all threads in the current set to finish
log.debug("remaining:"+str(rcount-len(framecopy))+"/"+str(rcount))
for thread in threads:
thread.join()
# print("===",procFrame)
# Release everything when job is finished
# print(procFrame)
lstFrame=None
for frm in procFrame:
# print(frm,frm.any())
# print(frm,frm.all())
if(lstFrame is None):
lstFrame=frm
if(frm is not None):
lstFrame=frm
else:
frm=lstFrame
out.write(frm)
video.release()
out.release()
# Remove temporary file
# os.remove(temp_file_path)
# Read the processed video file
with open(output_file_path, "rb") as video_file:
video_data = video_file.read()
# Convert the video to base64
video_str = base64.b64encode(video_data).decode()
# Remove the output file
# os.remove(output_file_path)
# log.debug(path)
shutil.rmtree(_path)
# log.debug("====",time.time()-s)
del procFrame
del indxList
del frameList
return video_str
except Exception as e:
log.error(str(e))
log.error("Line No:"+str(e.__traceback__.tb_lineno))
log.error(str(e.__traceback__.tb_frame))
error_dict[request_id_var.get()].append({"UUID":request_id_var.get(),"function":"VideoAnonymizeMainFunction","msg":str(e.__class__.__name__),"description":str(e)+"Line No:"+str(e.__traceback__.tb_lineno)})
# ExceptionDb.create({"UUID":request_id_var.get(),"function":"textAnalyzeMainFunction","msg":str(e.__class__.__name__),"description":str(e)+"Line No:"+str(e.__traceback__.tb_lineno)})
raise Exception(e)
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