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• lavfi : add filter dnn_detect for object detection

  7 février 2021, par Guo, Yejun

  lavfi : add filter dnn_detect for object detection
  Below are the example steps to do object detection :
  1. download and install l_openvino_toolkit_p_2021.1.110.tgz from
  
  https://software.intel.com/content/www/us/en/develop/tools/openvino-toolkit/download.html
  
    or, we can get source code (tag 2021.1), build and install.
  
  2. export LD_LIBRARY_PATH with openvino settings, for example :
  
  .../deployment_tools/inference_engine/lib/intel64/ :.../deployment_tools/inference_engine/external/tbb/lib/
  
  3. rebuild ffmpeg from source code with configure option :
  
  — enable-libopenvino
  
  — extra-cflags='-I.../deployment_tools/inference_engine/include/'
  
  — extra-ldflags='-L.../deployment_tools/inference_engine/lib/intel64'
  
  4. download model files and test image
  
  wget https://github.com/guoyejun/ffmpeg_dnn/raw/main/models/openvino/2021.1/face-detection-adas-0001.bin
  
  wget https://github.com/guoyejun/ffmpeg_dnn/raw/main/models/openvino/2021.1/face-detection-adas-0001.xml
  
  wget
  
  https://github.com/guoyejun/ffmpeg_dnn/raw/main/models/openvino/2021.1/face-detection-adas-0001.label
  
  wget https://github.com/guoyejun/ffmpeg_dnn/raw/main/images/cici.jpg
  
  5. run ffmpeg with :
  
  ./ffmpeg -i cici.jpg -vf dnn_detect=dnn_backend=openvino:model=face-detection-adas-0001.xml:input=data:output=detection_out:confidence=0.6:labels=face-detection-adas-0001.label,showinfo -f null -
  We'll see the detect result as below :
  
  [Parsed_showinfo_1 @ 0x560c21ecbe40]   side data - detection bounding boxes :
  
  [Parsed_showinfo_1 @ 0x560c21ecbe40] source : face-detection-adas-0001.xml
  
  [Parsed_showinfo_1 @ 0x560c21ecbe40] index : 0,  region : (1005, 813) -> (1086, 905), label : face, confidence : 10000/10000.
  
  [Parsed_showinfo_1 @ 0x560c21ecbe40] index : 1,  region : (888, 839) -> (967, 926), label : face, confidence : 6917/10000.
  There are two faces detected with confidence 100% and 69.17%.
  Signed-off-by : Guo, Yejun <yejun.guo@intel.com>
  

  • [DH] configure
  • [DH] doc/filters.texi
  • [DH] libavfilter/Makefile
  • [DH] libavfilter/allfilters.c
  • [DH] libavfilter/vf_dnn_detect.c

• How to install opencv_contrib on Windows ?

  6 mai 2017, par How to code

  I want to use the function createFisherFaceRecognizer() in python,but when I wrote down model = cv2.createFisherFaceRecognizer() or cv2.face.createFisherFaceRecognizer()
  Error will occurs :

  Traceback (most recent call last) :
  File "C :\Users\Administrator\Desktop\My projects\test\RecognizeMe.py", line 5, in
  model = cv2.face.createFisherFaceRecognizer()
  AttributeError : ’module’ object has no attribute ’face’

  I referenced the methods online and found that I should install opencv_contrib.But I was stucked when I was configureing the opencv using CMake.
  Error :

  CMake Error at cmake/OpenCVUtils.cmake:895 (file) : file DOWNLOAD
  HASH mismatch

  for file: [E:/opencv-3.1.0/sources/opencv-3.1.0/3rdparty/ffmpeg/downloads/35fe6ccdda6d7a04e9056b0d73b98e76/opencv_ffmpeg_64.dll]
  
    expected hash: [35fe6ccdda6d7a04e9056b0d73b98e76]
  
      actual hash: [5171a37169c5e695c556c85dc3103d13]
  
           status: [28;"Timeout was reached"]

  Call Stack (most recent call first) : 3rdparty/ffmpeg/ffmpeg.cmake:15
  (ocv_download) cmake/OpenCVFindLibsVideo.cmake:206 (include)
  CMakeLists.txt:536 (include)

  CMake Error at cmake/OpenCVUtils.cmake:899 (message) : Failed to
  download opencv_ffmpeg_64.dll. Status=28 ;"Timeout was reached" Call
  Stack (most recent call first) : 3rdparty/ffmpeg/ffmpeg.cmake:15
  (ocv_download) cmake/OpenCVFindLibsVideo.cmake:206 (include)
  CMakeLists.txt:536 (include)

  How to solve this problem ?Thank you for your answer !

• Upload a picture to generate a video with special effects

  8 novembre 2019, par Zedd

  I am stucked by a video processing feature, Specifically, upload an image and then generate a video based on various video templates.

  Here are the video templates :

  1. http://video-static.biku8.com/data/video/template/3286012076458048/7437ab55-2e83-4a36-9046-5708fcddf4c1.mp4
  2. http://video-static.biku8.com/data/video/template/3274256089907264/ae8fa3f7-6c9c-45ca-810f-48db92cc14cb.mp4
  3. http://video-static.biku8.com/data/video/template/3213894231425088/bf107d439b9043a58c1ea0ba26f811db_template.mp4
  4. ...

  As shown in the video templates above, I just need to upload a photo to generate a great video.

  My question

  1. What is the specific idea for implementing this video ?
  2. Which third-party libraries are needed ? (ffmpeg, opencv)

  PS : I am using dlib and opencv for face recognition. I can generate face image, but I don’t know how to insert face image into the correct position of these template videos.