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• Error installing package in anaconda : Attempted to make prefix record for unknown package type

  25 janvier 2020, par ashwinids

  I’m getting the error below for doing any operation install, update or uninstall

  ERROR conda.core.link:_execute(700) : An error occurred while
  uninstalling package ’::ffmpeg-3.2.4-2’. Rolling back
  transaction : done

  ValueError(’Attempted to make prefix record for unknown package type :
  ffmpeg-3.2.4-2’,)

  Details about the environment :
  OS : ubuntu 18.04
  python version : intelpython3

  Conda info

       active environment : base
  
      active env location : /home/p****/intelpython3
  
              shell level : 1
  
         user config file : /home/p****/.condarc
  
   populated config files : /home/p****/.condarc
  
            conda version : 4.7.12
  
      conda-build version : not installed
  
           python version : 3.6.8.final.0
  
         virtual packages : __cuda=10.1
  
         base environment : /home/p****/intelpython3  (writable)
  
             channel URLs : https://conda.anaconda.org/intel/linux-64
  
                            https://conda.anaconda.org/intel/noarch
  
                            https://repo.anaconda.com/pkgs/main/linux-64
  
                            https://repo.anaconda.com/pkgs/main/noarch
  
                            https://repo.anaconda.com/pkgs/r/linux-64
  
                            https://repo.anaconda.com/pkgs/r/noarch
  
            package cache : /home/p****/intelpython3/pkgs
  
                            /home/p****/.conda/pkgs
  
         envs directories : /home/p****/intelpython3/envs
  
                            /home/p****/.conda/envs
  
                 platform : linux-64
  
               user-agent : conda/4.7.12 requests/2.20.1 CPython/3.6.8 Linux/5.0.0-36-generic ubuntu/18.04.3 glibc/2.27
  
                  UID:GID : 1000:1000
  
               netrc file : None
  
             offline mode : False

  Conda list

  # packages in environment at /home/p****/intelpython3:
  
  #
  
  # Name                    Version                   Build  Channel
  
  _tflow_select             2.1.0                       gpu    anaconda
  
  absl-py                   0.8.0                    py36_0    anaconda
  
  affine                    2.3.0                    pypi_0    pypi
  
  asn1crypto                0.24.0                   py36_3    intel
  
  astor                     0.8.0                    py36_0    anaconda
  
  atomicwrites              1.3.0                    pypi_0    pypi
  
  attrs                     19.3.0                   pypi_0    pypi
  
  audioread                 2.1.6                    py36_0    <unknown>
  
  awscli                    1.16.292                 pypi_0    pypi
  
  backcall                  0.1.0                    py36_2    <unknown>
  
  backports                 1.0                      py36_9    <unknown>
  
  bayesian-optimization     1.0.1                    pypi_0    pypi
  
  bleach                    2.1.3                    py36_2    <unknown>
  
  boto3                     1.10.19                  pypi_0    pypi
  
  botocore                  1.13.28                  pypi_0    pypi
  
  bzip2                     1.0.6                        17    intel
  
  c-ares                    1.15.0            h7b6447c_1001    anaconda
  
  causalgraphicalmodels     0.0.4                    pypi_0    pypi
  
  certifi                   2018.1.18                py36_2    intel
  
  cffi                      1.11.5                   py36_3    intel
  
  chardet                   3.0.4                    py36_3    intel
  
  click                     7.0                      pypi_0    pypi
  
  click-plugins             1.1.1                    pypi_0    pypi
  
  cligj                     0.5.0                    pypi_0    pypi
  
  colorama                  0.4.1                    pypi_0    pypi
  
  conda                     4.7.12                   py36_0  
  
  conda-env                 2.6.0                         1  
  
  conda-package-handling    1.6.0            py36h7b6447c_0    anaconda
  
  cryptography              2.3                      py36_1    intel
  
  cudatoolkit               10.1.243             h6bb024c_0  
  
  cudnn                     7.6.0                cuda10.1_0    anaconda
  
  cupti                     10.1.168                      0    anaconda
  
  cvxopt                    1.2.3                    pypi_0    pypi
  
  cycler                    0.10.0                   py36_7    intel
  
  cython                    0.29.6           py36h7b7c402_0    intel
  
  daal                      2019.4                intel_243    <unknown>
  
  daal4py                   2019.4           py36h7b7c402_0    intel
  
  dbus                      1.13.12              h746ee38_0  
  
  decorator                 4.3.0                    py36_3    <unknown>
  
  descartes                 1.1.0                    pypi_0    pypi
  
  docutils                  0.15.2                   pypi_0    pypi
  
  dowhy                     0.1.1                    pypi_0    pypi
  
  entrypoints               0.2.3                    py36_2    <unknown>
  
  expat                     2.2.6                he6710b0_0  
  
  ffmpeg                    3.2.4                         2    <unknown>
  
  fiona                     1.8.11                   pypi_0    pypi
  
  fontconfig                2.12.6               h49f89f6_0  
  
  freetype                  2.8                  hab7d2ae_1  
  
  funcsigs                  1.0.2                    py36_7    intel
  
  gast                      0.3.2                      py_0    anaconda
  
  geopandas                 0.6.2                    pypi_0    pypi
  
  get_terminal_size         1.0.0                    py36_7    <unknown>
  
  glib                      2.63.1               h5a9c865_0  
  
  google-pasta              0.1.7                      py_0    anaconda
  
  grpcio                    1.14.1           py36h9ba97e2_0    anaconda
  
  gst-plugins-base          1.12.4               h33fb286_0  
  
  gstreamer                 1.12.4               hb53b477_0  
  
  h5py                      2.9.0            py36h7918eee_0    anaconda
  
  hdf5                      1.10.4               hb1b8bf9_0    anaconda
  
  html5lib                  1.0.1                    py36_4    <unknown>
  
  icc_rt                    2019.4                intel_243    <unknown>
  
  icu                       58.2                 h9c2bf20_1  
  
  idna                      2.6                      py36_3    intel
  
  imageio                   2.6.1                    pypi_0    pypi
  
  imgaug                    0.2.6                    pypi_0    pypi
  
  impi_rt                   2019.4                intel_243    <unknown>
  
  importlib-metadata        0.23                     pypi_0    pypi
  
  intel-openmp              2019.4                intel_243    <unknown>
  
  intelpython               2019.4                        0    intel
  
  ipp                       2019.4                intel_243    <unknown>
  
  ipykernel                 4.6.1                    py36_2    <unknown>
  
  ipython                   6.3.1                    py36_3    <unknown>
  
  ipython_genutils          0.2.0                    py36_2    <unknown>
  
  jedi                      0.12.0                   py36_2    <unknown>
  
  jinja2                    2.10.3                   pypi_0    pypi
  
  jmespath                  0.9.4                    pypi_0    pypi
  
  joblib                    0.13.2                   pypi_0    pypi
  
  jpeg                      9b                   h024ee3a_2  
  
  json5                     0.8.5                    pypi_0    pypi
  
  jsonschema                3.2.0                    pypi_0    pypi
  
  jupyter                   1.0.0                    py36_7    intel
  
  jupyter_client            5.1.0                    py36_5    <unknown>
  
  jupyter_console           5.1.0                    py36_2    <unknown>
  
  jupyter_core              4.4.0                    py36_6    <unknown>
  
  jupyterlab                1.2.3                    pypi_0    pypi
  
  jupyterlab-server         1.0.6                    pypi_0    pypi
  
  keras                     2.3.1                    pypi_0    pypi
  
  keras-applications        1.0.8                      py_0    anaconda
  
  keras-bert                0.80.0                   pypi_0    pypi
  
  keras-embed-sim           0.7.0                    pypi_0    pypi
  
  keras-layer-normalization 0.14.0                   pypi_0    pypi
  
  keras-multi-head          0.22.0                   pypi_0    pypi
  
  keras-pos-embd            0.11.0                   pypi_0    pypi
  
  keras-position-wise-feed-forward 0.6.0                    pypi_0    pypi
  
  keras-preprocessing       1.1.0                      py_1    anaconda
  
  keras-rectified-adam      0.17.0                   pypi_0    pypi
  
  keras-self-attention      0.41.0                   pypi_0    pypi
  
  keras-transformer         0.31.0                   pypi_0    pypi
  
  kiwisolver                1.0.1                    py36_2    intel
  
  libffi                    3.2.1                        11    intel
  
  libgcc-ng                 9.1.0                hdf63c60_0    anaconda
  
  libgfortran-ng            7.3.0                hdf63c60_0    anaconda
  
  libiconv                  1.14                          4    <unknown>
  
  libpng                    1.6.36                        2    intel
  
  libprotobuf               3.9.2                hd408876_0    anaconda
  
  librosa                   0.6.3                    pypi_0    pypi
  
  libsodium                 1.0.16                        3    <unknown>
  
  libstdcxx-ng              9.1.0                hdf63c60_0    anaconda
  
  libtiff                   4.0.9                he85c1e1_1  
  
  libxcb                    1.13                 h1bed415_1  
  
  libxml2                   2.9.8                hf84eae3_0  
  
  lightgbm                  2.3.1                    pypi_0    pypi
  
  llvmlite                  0.27.1                   py36_0    intel
  
  markdown                  3.1.1                    py36_0    anaconda
  
  markupsafe                1.0                      py36_3    <unknown>
  
  matplotlib                2.1.0            py36hba5de38_0  
  
  mercantile                1.1.2                    pypi_0    pypi
  
  metaflow                  2.0.0                    pypi_0    pypi
  
  mistune                   0.8.3                    py36_2    <unknown>
  
  mkl                       2019.4                intel_243    <unknown>
  
  mkl-service               1.0.0           py36h7b7c402_11    intel
  
  mkl_fft                   1.0.11           py36h7b7c402_2    intel
  
  mkl_random                1.0.2            py36h7b7c402_4    intel
  
  more-itertools            7.2.0                    pypi_0    pypi
  
  mpi4py                    3.0.0                    py36_3    intel
  
  mpmath                    1.1.0                    pypi_0    pypi
  
  munch                     2.5.0                    pypi_0    pypi
  
  nbconvert                 5.2.1                    py36_2    <unknown>
  
  nbformat                  4.4.0                    py36_2    <unknown>
  
  networkx                  2.4                      pypi_0    pypi
  
  ninja                     1.9.0            py36hfd86e86_0  
  
  noisyopt                  0.2.2                    pypi_0    pypi
  
  notebook                  5.2.2                    py36_1    intel
  
  numba                     0.42.1              np116py36_2    intel
  
  numexpr                   2.6.8                    py36_2    intel
  
  numpy                     1.16.2           py36h7b7c402_0    intel
  
  numpy-base                1.16.2                   py36_0    intel
  
  oauthlib                  3.1.0                    pypi_0    pypi
  
  olefile                   0.46                       py_0  
  
  openssl                   1.0.2r                        2    intel
  
  packaging                 19.2                     pypi_0    pypi
  
  pandas                    0.24.1                   py36_3    intel
  
  pandocfilters             1.4.1                    py36_2    <unknown>
  
  parso                     0.2.0                    py36_2    <unknown>
  
  path.py                   11.0.1                   py36_2    <unknown>
  
  pcre                      8.43                 he6710b0_0  
  
  pexpect                   4.2.1                    py36_4    <unknown>
  
  pickleshare               0.7.4                    py36_3    <unknown>
  
  pillow                    6.2.1                    pypi_0    pypi
  
  pip                       19.3.1                   pypi_0    pypi
  
  pluggy                    0.13.1                   pypi_0    pypi
  
  prompt_toolkit            1.0.15                   py36_2    <unknown>
  
  protobuf                  3.9.2            py36he6710b0_0    anaconda
  
  ptyprocess                0.5.2                    py36_2    <unknown>
  
  pulp                      2.0                      pypi_0    pypi
  
  py                        1.8.0                    pypi_0    pypi
  
  pyasn1                    0.4.8                    pypi_0    pypi
  
  pycosat                   0.6.3                    py36_3    intel
  
  pycparser                 2.18                     py36_2    intel
  
  pydot                     1.4.1                    pypi_0    pypi
  
  pyeditline                2.0.0                    py36_0    intel
  
  pygments                  2.2.0                    py36_5    <unknown>
  
  pygmy                     0.2.0                    pypi_0    pypi
  
  pyopenssl                 17.5.0                   py36_2    intel
  
  pyparsing                 2.2.0                    py36_2    intel
  
  pyportfolioopt            0.4.3                    pypi_0    pypi
  
  pyproj                    2.4.2.post1              pypi_0    pypi
  
  pyqt                      5.6.0            py36h22d08a2_6  
  
  pyrsistent                0.15.6                   pypi_0    pypi
  
  pysocks                   1.6.7                    py36_1    intel
  
  pytesseract               0.3.0                    pypi_0    pypi
  
  pytest                    4.6.6                    pypi_0    pypi
  
  python                    3.6.8                         7    intel
  
  python-dateutil           2.6.0                   py36_12    intel
  
  python-graphviz           0.13                     pypi_0    pypi
  
  pytorch                   1.3.1           py3.6_cuda10.1.243_cudnn7.6.3_0    pytorch
  
  pytz                      2018.4                   py36_3    intel
  
  pywavelets                1.1.1                    pypi_0    pypi
  
  pyyaml                    4.1                      py36_3    intel
  
  pyzmq                     16.0.2                   py36_6    <unknown>
  
  qt                        5.6.2               hd25b39d_14  
  
  rasterio                  1.1.1                    pypi_0    pypi
  
  regex                     2019.11.1                pypi_0    pypi
  
  requests                  2.20.1                   py36_1    intel
  
  requests-oauthlib         1.3.0                    pypi_0    pypi
  
  resampy                   0.2.1                    pypi_0    pypi
  
  rio-cogeo                 1.1.6                    pypi_0    pypi
  
  rsa                       3.4.2                    pypi_0    pypi
  
  ruamel_yaml               0.11.14                  py36_4    intel
  
  s3transfer                0.2.1                    pypi_0    pypi
  
  sacremoses                0.0.35                   pypi_0    pypi
  
  scikit-image              0.16.2                   pypi_0    pypi
  
  scikit-learn              0.20.3           py36h7b7c402_5    intel
  
  scipy                     1.3.3                    pypi_0    pypi
  
  seaborn                   0.9.0                    pypi_0    pypi
  
  sentencepiece             0.1.83                   pypi_0    pypi
  
  setuptools                39.0.1                   py36_0    intel
  
  shapely                   1.6.4.post2              pypi_0    pypi
  
  simplegeneric             0.8.1                    py36_7    <unknown>
  
  sip                       4.18.1           py36hf484d3e_2  
  
  six                       1.11.0                   py36_3    intel
  
  smp                       0.1.4                    py36_0    intel
  
  snuggs                    1.4.7                    pypi_0    pypi
  
  sqlite                    3.27.2                        4    intel
  
  supermercado              0.0.5                    pypi_0    pypi
  
  sympy                     1.4                      pypi_0    pypi
  
  tbb                       2019.6                intel_243    <unknown>
  
  tbb4py                    2019.6             py36_intel_0    <unknown>
  
  tcl                       8.6.4                        24    intel
  
  tensorboard               1.14.0           py36hf484d3e_0    anaconda
  
  tensorflow                1.14.0          gpu_py36h3fb9ad6_0    anaconda
  
  tensorflow-base           1.14.0          gpu_py36he45bfe2_0    anaconda
  
  tensorflow-estimator      1.14.0                     py_0    anaconda
  
  tensorflow-gpu            1.14.0               h0d30ee6_0    anaconda
  
  termcolor                 1.1.0                    py36_1    anaconda
  
  terminado                 0.8.1                    py36_2    <unknown>
  
  testpath                  0.3.1                    py36_2    <unknown>
  
  tk                        8.6.4                        29    intel
  
  torchvision               0.4.2                py36_cu101    pytorch
  
  tornado                   4.5.2                    py36_5    <unknown>
  
  tqdm                      4.36.1                     py_0    anaconda
  
  traitlets                 4.3.2                    py36_3    <unknown>
  
  transformers              2.1.1                    pypi_0    pypi
  
  tweepy                    3.8.0                    pypi_0    pypi
  
  urllib3                   1.22                     pypi_0    pypi
  
  wcwidth                   0.1.7                    py36_6    <unknown>
  
  webencodings              0.5.1                    py36_0    <unknown>
  
  werkzeug                  0.16.0                     py_0    anaconda
  
  wheel                     0.31.0                   py36_3    intel
  
  widgetsnbextension        3.2.0                    py36_1    <unknown>
  
  wrapt                     1.11.2           py36h7b6447c_0    anaconda
  
  x264                      20131218                      0    <unknown>
  
  xgboost                   0.81                     py36_0    intel
  
  xz                        5.2.3                         2    intel
  
  yaml                      0.1.7                         2    intel
  
  zipp                      0.6.0                    pypi_0    pypi
  
  zlib                      1.2.11                        5    intel
  
  </unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown>

• What is PII ? Your introduction to personally identifiable information

  15 janvier 2020, par Joselyn Khor — Analytics Tips, Privacy, Security
  Most websites you visit collect information about you via tools like Google Analytics and Matomo – sometimes collecting personally identifiable information (PII).

  When it comes to PII, people are becoming more concerned about data privacy. Identifiable information can be used for illegal purposes like identity theft and fraud. 

  So how can you protect yourself as an innocent internet browser ? In the case of website owners – how do you protect users and your company from falling prey to privacy breaches ?

  

  As one of the most trusted analytics companies, we feel our readers would benefit from being as informed as possible about data privacy issues and PII. Learn what it means, and what you can do to keep yours or others’ information safe.

  Table of Contents

  What does PII stand for ?

  PII acronym

  PII is an acronym for personally identifiable information.

  PII definition

  Personally identifiable information (PII) is a term used predominantly in the United States.

  The appendix of OMB M-10-23 (Guidance for Agency Use of Third-Party Website and Applications) gives this definition for PII :

  “The term ‘personally identifiable information’ refers to information which can be used to distinguish or trace an individual’s identity, such as their name, social security number, biometric records, etc. alone, or when combined with other personal or identifying information which is linked or linkable to a specific individual, such as date and place of birth, mother’s maiden name, etc.”

  What can be considered personally identifiable information (PII) ? Some PII examples :

  • Full name/usernames
  • Home address/mailing address
  • Email address
  • Credit card numbers
  • Date of birth
  • Phone numbers
  • Login details

  • Precise locations
  • Account numbers
  • Passwords
  • Security codes (including biometric records)
  • Personal identification numbers
  • Driver license number
  • Get a more comprehensive list here

  What’s non-PII ?

  Anonymous information, or information that can’t be traced back to an individual, can be considered non-PII.

  Who is affected by the exploitation of PII ?

  Anyone can be affected by the exploitation of personal data, where you have identity theft, account fraud and account takeovers. When websites resort to illegally selling or sharing your data and compromising your privacy, the fear is falling victim to such fraudulent activity. 

  PII can also be an issue when employees have access to the database and the data is not encrypted. For example, anyone working in a bank can access your accounts ; anyone working at Facebook may be able to read your messages. This shows how privacy breaches can easily happen when employees have access to PII.

  Website owner’s responsibility for data privacy (PII and analytics)

  To respect your website visitor’s privacy, best practice is to avoid collecting PII whenever possible. If you work in an industry which requires people to disclose personal information (e.g. healthcare, security industries, public sector), then you must ensure this data is collected and handled securely. 

  

  The US National Institute of Standards and Technology states : “The likelihood of harm caused by a breach involving PII is greatly reduced if an organisation minimises the amount of PII it uses, collects, and stores. For example, an organisation should only request PII in a new form if the PII is absolutely necessary.” 

  How you’re held accountable remains up to the privacy laws of the country you’re doing business in. Make sure you are fully aware of the privacy and data protection laws that relate specifically to you. 

  To reduce the risk of privacy breaches, try collecting as little PII as you can ; purging it as soon as you can ; and making sure your IT security is updated and protected against security threats. 

  If you’re using data collection tools like web analytics, data may be tracked through features like User ID, custom variables, and custom dimensions. Sometimes they are also harder to identify when they are present, for example, in page URLs, page titles, or referrers URLs. So make sure you’re optimising your web analytics tools’ settings to ensure you’re asking your users for consent and respecting users’ privacy.

  If you’re using a GDPR compliant tool like Matomo, learn how you can stop processing such personal data

  PII, GDPR and businesses in the US/EU

  Because PII is broad, you may run into confusion when considering PII and GDPR (which applies in the EU). The General Data Protection Regulation (GDPR) provides more safeguards for user privacy.

  GDPR grants people in the EU more rights concerning their “personal data” (more on PII vs personal data below). In the EU the GDPR restricts the collection and processing of personal data. The repercussions are severe penalties and fines for privacy infringements. Businesses are required to handle this personal data carefully. You can be fined up to 4% of their yearly revenue for data breaches or non-compliance. 

  

  Although there isn’t an overarching data protection law in the US, there are hundreds of laws on both the federal and state levels to protect the personal data of US residents. US Congress has also enacted industry-specific statutes related to data privacy, and the state of California passed the California Consumer Privacy Act. 

  To be on the safe side, if you are using analytics, follow matters relating to “personal data” in the GDPR. It’s all-encompassing when it comes to protecting user privacy. GDPR rules still apply whenever an EU citizen visits any non EU site (that processes personal data).

  Personally identifiable information (PII) vs personal data

  PII and “personal data” aren’t used interchangeably. All personal data can be PII, but not all PII can be defined as personal data.

  The definition of “personal data” according to the GDPR :

  

  This means “personal data” encompasses a greater number of identifiers which include the online sphere. Examples include : IP addresses and URL names. As well as seemingly “innocent” data like height, job position, company etc. 

  What’s considered personal data depends on the context. If a piece of information can be combined with others to establish someone’s identity then that can be considered personal data. 

  Under GDPR, when processing personal data, you need explicit consent. You need to ensure you’re compliant according to GDPR definitions of “personal data” not just what’s considered “PII”.

  How Matomo deals with PII and personal data

  Although Matomo Analytics is a web analytics software that tracks user activity on your website, we take privacy and PII very seriously – on both our Cloud and On-Premise offerings. 

  If you’re using Matomo and would like to know how you can be fully GDPR compliant and protect user privacy, read more :
  

  • Learn how to not process any personally identifiable information – Anonymise IP addresses, user IDs, and order IDs
  • Matomo protects user privacy by talking the talk and walking the walk
  • Stay ahead of the GDPR with a privacy-respecting analytics platform
  • 11 ways Matomo helps you protect your visitor’s privacy

  Disclaimer

  We are not lawyers and don’t claim to be. The information provided here is to help give an introduction to issues you may encounter when dealing with PII. We encourage every business and website to take data privacy seriously and discuss these issues with your lawyer if you have any concerns. 

  Additional resources :

  • https://www.consumeraffairs.com/finance/identity-theft-statistics.html#identity-theft-trends-in-2019
  • https://ec.europa.eu/info/law/law-topic/data-protection_en
  • https://iclg.com/practice-areas/data-protection-laws-and-regulations/usa
  • https://www.csoonline.com/article/3215864/how-to-protect-personally-identifiable-information-pii-under-gdpr.html
  • https://ico.org.uk/for-organisations/guide-to-data-protection/guide-to-the-general-data-protection-regulation-gdpr/key-definitions/what-is-personal-data/

• X264 : How to access NAL units from encoder ?

  18 avril 2014, par user1884325

  When I call

  frame_size = x264_encoder_encode(encoder, &nals, &i_nals, &pic_in, &pic_out);

  and subsequently write each NAL to a file like this :

       if (frame_size >= 0)
  
       {
  
          int i;
  
          int j;
  
  
  
          for (i = 0; i < i_nals; i++)
  
          {
  
             printf("******************* NAL %d (%d bytes) *******************\n", i, nals[i].i_payload);
  
             fwrite(&(nals[i].p_payload[0]), 1, nals[i].i_payload, fid);
  
          }
  
       }

  then I get this

  

  My questions are :

  1) Is it normal that there’s readable parameters in the beginning of the file ?

  2) How do I configure the X264 encoder so that the encoder returns frames that I can send via UDP without the packet getting fragmented (size must be below 1390 or somewhere around that).

  3) With the x264.exe I pass in these options :

  "--threads 1 --profile baseline --level 3.2 --preset ultrafast --bframes 0 --force-cfr --no-mbtree --sync-lookahead 0 --rc-lookahead 0 --keyint 1000 --intra-refresh" 

  How do I map those to the settings in the X264 parameters structure ? (x264_param_t)

  4) I have been told that the x264 static library doesn’t support bitmap input to the encoder and that I have to use libswscale for conversion of the 24bit RGB input bitmap to YUV2. The encoder, supposedly, only takes YUV2 as input ? Is this true ? If so, how do I build libswscale for the x264 static library ?