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• How to get Updated Shared Object Files of OpenCV and FFMPEG libraries to overcome Libpng vulnerability ? [duplicate]

  3 mars 2017, par Liya

  This question already has an answer here :

  • Libpng vulnerability
    
    2 answers
    

  We seek a technical help on a current issue which we are facing with one of our android application.

  Our application is for live video streaming and recording (both audio and video) using wifi camera . We have completed the development process and every functionality of the application is working as expected in current version. but once we tried to upload the application to Google has rejected the application stating that vulnerability issue with Libpng library version.

  Our application uses OpenCV, FFMPEG, JavaCV and JavaCPP libraries for Image processing for Video generation. But when we tried to upload to play store google have rejected application with following message :

  “ Hello Google Play Developer,

  We rejected Application name, for violating our Malicious Behavior or
  User Data policy. If you submitted an update, the previous version of
  your app is still available on Google Play.

  This app uses software that contains security vulnerabilities for
  users or allows the collection of user data without proper disclosure.

  Below is the list of issues and the corresponding APK versions that
  were detected in your recent submission. Please upgrade your app(s) as
  soon as possible and increment the version number of the upgraded APK.

  Vulnerability APK Version(s) Libpng library

  The vulnerabilities were fixed in libpng v1.0.66, v.1.2.56, v.1.4.19,
  v1.5.26 or higher. You can find more information about how resolve the
  issue in this Google Help Center article.”

  Since we have not used libpng library directly in our application we assume the problem is with opencv lib version which may be using libpng , so we replaced the opencv jar file with its gradle dependency and .so files of different libraries are combined in an armeabi.jar file and once we deleted the .so files from libs/armeabi.jar folder and uploaded to play store, then Google didn’t rejected with vulnerability issue and it got uploaded to the play store but the recording isn’t working in that version because we have removed the .SO files from the Project.

  So as per our assumptions the libpng vulnerability is not only due to opencv but also due to the other libraries or the .so files .So please kindly suggest us which all .SO files we can remove from the library , so our application functionality for video recording works properly .

  We tried to update the OpenCV, FFMPEG libraries and since the SO files are not getting regenerated so could not resolve this issue yet

  We already refer following links to find a solution :

  1. libpng-vulnerability

  2. opencv-in-android

  3. FFmpegAndroid

  For more information please read our stackover flow post regarding this issue :Libpng vulnerability

  We need help to solve this issue. Please let us know if you can help us to solve this issue since we are running out of time.

  PS : These are the assumptions we made on this issue, May be we are wrong , so please guide us to the right path so we can achieve our goal.

• Cortex-A7 instruction cycle timings

  15 mai 2014, par Mans — ARM

  The Cortex-A7 ARM core is a popular choice in low-power and low-cost designs. Unfortunately, the public TRM does not include instruction timing information. It does reveal that execution is in-order which makes measuring the throughput and latency for individual instructions relatively straight-forward.

  The table below lists the measured issue cycles (inverse throughput) and result latency of some commonly used instructions.

  It should be noted that in some cases, the perceived latency depends on the instruction consuming the result. Most of the values were measured with the result used as input to the same instruction. For instructions with multiple outputs, the latencies of the result registers may also differ.

  Finally, although instruction issue is in-order, completion is out of order, allowing independent instructions to issue and complete unimpeded while a multi-cycle instruction is executing in another unit. For example, a 3-cycle MUL instruction does not block ADD instructions following it in program order.

  ALU instructions	Issue cycles	Result latency
  MOV Rd, Rm	1/2	1
  ADD Rd, Rn, #imm	1/2	1
  ADD Rd, Rn, Rm	1	1
  ADD Rd, Rn, Rm, LSL #imm	1	1
  ADD Rd, Rn, Rm, LSL Rs	1	1
  LSL Rd, Rn, #imm	1	2
  LSL Rd, Rn, Rs	1	2
  QADD Rd, Rn, Rm	1	2
  QADD8 Rd, Rn, Rm	1	2
  QADD16 Rd, Rn, Rm	1	2
  CLZ Rd, Rm	1	1
  RBIT Rd, Rm	1	2
  REV Rd, Rm	1	2
  SBFX Rd, Rn	1	2
  BFC Rd, #lsb, #width	1	2
  BFI Rd, Rn, #lsb, #width	1	2
  NOTE : Shifted operands and shift amounts needed one cycle early.
  Multiply instructions	Issue cycles	Result latency
  MUL Rd, Rn, Rm	1	3
  MLA Rd, Rn, Rm, Ra	1	31
  SMULL Rd, RdHi, Rn, Rm	1	3
  SMLAL Rd, RdHi, Rn, Rm	1	31
  SMMUL Rd, Rn, Rm	1	3
  SMMLA Rd, Rn, Rm, Ra	1	31
  SMULBB Rd, Rn, Rm	1	3
  SMLABB Rd, Rn, Rm, Ra	1	31
  SMULWB Rd, Rn, Rm	1	3
  SMLAWB Rd, Rn, Rm, Ra	1	31
  SMUAD Rd, Rn, Rm	1	3
  1 Accumulator forwarding allows back to back MLA instructions without delay.
  Divide instructions	Issue cycles	Result latency
  SDIV Rd, Rn, Rm	4-20	6-22
  UDIV Rd, Rn, Rm	3-19	5-21
  Load/store instructions	Issue cycles	Result latency
  LDR Rt, [Rn]	1	3
  LDR Rt, [Rn, #imm]	1	3
  LDR Rt, [Rn, Rm]	1	3
  LDR Rt, [Rn, Rm, lsl #imm]	1	3
  LDRD Rt, Rt2, [Rn]	1	3-4
  LDM Rn, regs	1-8	3-10
  STR Rt, [Rn]	1	2
  STRD Rt, Rt2, [Rn]	1	2
  STM Rn, regs	1-10	2-12
  NOTE : Load results are forwarded to dependent stores without delay.
  VFP instructions	Issue cycles	Result latency
  VMOV.F32 Sd, Sm	1	4
  VMOV.F64 Dd, Dm	1	4
  VNEG.F32 Sd, Sm	1	4
  VNEG.F64 Dd, Dm	1	4
  VABS.F32 Sd, Sm	1	4
  VABS.F64 Dd, Dm	1	4
  VADD.F32 Sd, Sn, Sm	1	4
  VADD.F64 Dd, Dn, Dm	1	4
  VMUL.F32 Sd, Sn, Sm	1	4
  VMUL.F64 Dd, Dn, Dm	4	7
  VMLA.F32 Sd, Sn, Sm	1	81
  VMLA.F64 Dd, Dn, Dm	4	112
  VFMA.F32 Sd, Sn, Sm	1	81
  VFMA.F64 Dd, Dn, Dm	5	82
  VDIV.F32 Sd, Sn, Sm	15	18
  VDIV.F64 Dd, Dn, Dm	29	32
  VSQRT.F32 Sd, Sm	14	17
  VSQRT.F64 Dd, Dm	28	31
  VCVT.F32.F64 Sd, Dm	1	4
  VCVT.F64.F32 Dd, Sm	1	4
  VCVT.F32.S32 Sd, Sm	1	4
  VCVT.F64.S32 Dd, Sm	1	4
  VCVT.S32.F32 Sd, Sm	1	4
  VCVT.S32.F64 Sd, Dm	1	4
  VCVT.F32.S32 Sd, Sd, #fbits	1	4
  VCVT.F64.S32 Dd, Dd, #fbits	1	4
  VCVT.S32.F32 Sd, Sd, #fbits	1	4
  VCVT.S32.F64 Dd, Dd, #fbits	1	4
  1 5 cycles with dependency only on accumulator. 2 8 cycles with dependency only on accumulator.
  NEON integer instructions	Issue cycles	Result latency
  VADD.I8 Dd, Dn, Dm	1	4
  VADDL.S8 Qd, Dn, Dm	2	4
  VADD.I8 Qd, Qn, Qm	2	4
  VMUL.I8 Dd, Dn, Dm	2	4
  VMULL.S8 Qd, Dn, Dm	2	4
  VMUL.I8 Qd, Qn, Qm	4	4
  VMLA.I8 Dd, Dn, Dm	2	4
  VMLAL.S8 Qd, Dn, Dm	2	4
  VMLA.I8 Qd, Qn, Qm	4	4
  VADD.I16 Dd, Dn, Dm	1	4
  VADDL.S16 Qd, Dn, Dm	2	4
  VADD.I16 Qd, Qn, Qm	2	4
  VMUL.I16 Dd, Dn, Dm	1	4
  VMULL.S16 Qd, Dn, Dm	2	4
  VMUL.I16 Qd, Qn, Qm	2	4
  VMLA.I16 Dd, Dn, Dm	1	4
  VMLAL.S16 Qd, Dn, Dm	2	4
  VMLA.I16 Qd, Qn, Qm	2	4
  VADD.I32 Dd, Dn, Dm	1	4
  VADDL.S32 Qd, Dn, Dm	2	4
  VADD.I32 Qd, Qn, Qm	2	4
  VMUL.I32 Dd, Dn, Dm	2	4
  VMULL.S32 Qd, Dn, Dm	2	4
  VMUL.I32 Qd, Qn, Qm	4	4
  VMLA.I32 Dd, Dn, Dm	2	4
  VMLAL.S32 Qd, Dn, Dm	2	4
  VMLA.I32 Qd, Qn, Qm	4	4
  NEON floating-point instructions	Issue cycles	Result latency
  VADD.F32 Dd, Dn, Dm	2	4
  VADD.F32 Qd, Qn, Qm	4	4
  VMUL.F32 Dd, Dn, Dm	2	4
  VMUL.F32 Qd, Qn, Qm	4	4
  VMLA.F32 Dd, Dn, Dm	2	81
  VMLA.F32 Qd, Qn, Qm	4	81
  1 5 cycles with dependency only on accumulator.
  NEON permute instructions	Issue cycles	Result latency
  VEXT.n Dd, Dn, Dm, #imm	1	4
  VEXT.n Qd, Qn, Qm, #imm	2	5
  VTRN.n Dd, Dn, Dm	2	5
  VTRN.n Qd, Qn, Qm	4	5
  VUZP.n Dd, Dn, Dm	2	5
  VUZP.n Qd, Qn, Qm	4	6
  VZIP.n Dd, Dn, Dm	2	5
  VZIP.n Qd, Qn, Qm	4	6
  VTBL.8 Dd, Dn, Dm	1	4
  VTBL.8 Dd, Dn-Dn+1, Dm	1	4
  VTBL.8 Dd, Dn-Dn+2, Dm	2	5
  VTBL.8 Dd, Dn-Dn+3, Dm	2	5

• Running a py script in the Cloud

  12 janvier 2018, par Anay Bose

  I’m new to Google’s cloud & Virtual Machine(VM) instances, and I need some clarifications on a couple of points. I have a python script ; it imports a long range of functions. I need to run those functions in parallel. I’m using multiprocessing and Process, not threads. These functions are basically image and media processors, and they use many other tools like FFMPEG, imagemagick and Avisynth in addition to a wide range of python modules, including moviepy. Now, I would like to run some 50 functions in parallel assigning a CPU for each process. Images, media and avi files are stored in seperate folders. I’m on Windows7 Core-i7 machine. So, need cloud computing power.

  Now, my question can I run such a python script/app in the cloud that requires a very complicated file system and non-python tools i.e. ffmpeg, avisynth and avi files ?

  Can Google VMs emulate my local machine and empower me with more cores and memory to run such a program ? if not, then what are my options ? Is their any tutorials that I can follow ? I need your suggestions. I have given below an example script and some codes to help facilitate your understanding about my situation.

  from __future__ import unicode_literals
  
  import youtube_dl
  
  import os
  
  import time
  
  import sys
  
  reload(sys)  
  
  sys.setdefaultencoding('utf-8')
  
  from multiprocessing import Process
  
  from utils import *
  
  
  
  from clip31 import VIDEO31
  
  from clip32 import VIDEO32
  
  from clip189 import VIDEO189
  
  from clip16 import VIDEO16
  
  from clip39 import VIDEO39
  
  
  
  
  
  if __name__== '__main__':
  
  
  
      # 1. CALLING A FUNCTION
  
      folder = "bodyforce3\\16"
  
      serial = "16"
  
      images = get_filepaths("../16")
  
      videos = get_filepaths("12__media")
  
      pngs = get_filepaths("../pngs")
  
  
  
      Process(target=VIDEO192, args=(folder, serial, color1, color2, color3, images, videos)).start()
  
  
  
  
  
      # 2. CALLING A FUNCTION
  
      folder = "bodyforce3\\20"
  
      serial = "20"
  
      images = get_filepaths("../20")
  
      videos = get_filepaths("18__media")
  
  
  
      Process(target=VIDEO32, args=(folder, serial, color1, color2, color3, images, videos)).start()
  
  
  
  
  
      # 3. CALLING A FUNCTION
  
      folder = "bodyforce3\\14"
  
      serial = "14"
  
      images = get_filepaths("../14")
  
      videos = get_filepaths("16__media")
  
  
  
      Process(target=VIDEO91, args=(folder, serial, color1, color2, color3, images, videos)).start()

  I copy avi files in functions like this :

  src = "clip50_files"
  
  src_files = os.listdir(src)
  
  for file_name in src_files:
  
      full_file_name = os.path.join(src, file_name)
  
      if (os.path.isfile(full_file_name)):
  
          shutil.copy(full_file_name, folder)

  I call ffmpeg commands like this, and they are included within py functions.

  ###########################
  
  #### FFMPEG OPERATIONS ####
  
  ###########################
  
  
  
  print "Starting FFMPEG operations ..."
  
  
  
  if os.path.isfile(os.path.join(folder, "bounce-(3).avi")):
  
      os.remove(os.path.join(folder, "bounce-(3).avi"))
  
  
  
  
  
  infile = folder + "/bounce-(3).avs"
  
  outfile = folder + "/bounce-(3).avi"
  
  codec = "rawvideo"
  
  pix_fmt = "bgra"
  
  
  
  try:
  
      subprocess.call(["ffmpeg",
  
                       "-i" ,infile, 
  
                       "-c:v" ,codec, 
  
                       "-pix_fmt", pix_fmt, 
  
                       outfile],
  
                      stdout=open(os.devnull, 'w'), 
  
                      stderr=subprocess.STDOUT)
  
  except subprocess.CalledProcessError as e:   
  
      #except subprocess.CalledProcessError as e:
  
      sys.exit(e.output)
  
  except OSError as e:
  
      sys.exit(e.strerror)
  
  
  
  
  
  print "FFMPEG operations ended"