''' 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 # 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)