[
https://issues.apache.org/jira/browse/TIKA-2322?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15988463#comment-15988463
]
ASF GitHub Bot commented on TIKA-2322:
--------------------------------------
smadha commented on issue #168: fix for TIKA-2322 contributed by [email protected]
URL: https://github.com/apache/tika/pull/168#issuecomment-297948356
Guys I tried more stuff but OpenCV is still failing to read videos inside
docker. It seems as ffmpeg is not installed as per OpenCV requirements.
I am attaching logs that I get on building OpenCV while I am sshed inside
docker.
[ssh_docker_opencv_build.txt](https://github.com/apache/tika/files/963888/ssh_docker_opencv_build.txt)
After my changes I can successfully see ffmpeg/avformat library being found
in logs `Looking for libavformat/avformat.h - found` but still it does not
builds with ffmpeg
```
-- Looking for linux/videodev.h
-- Looking for linux/videodev.h - not found
-- Looking for linux/videodev2.h
-- Looking for linux/videodev2.h - found
-- Looking for sys/videoio.h
-- Looking for sys/videoio.h - not found
-- Looking for libavformat/avformat.h
-- Looking for libavformat/avformat.h - found
-- Looking for ffmpeg/avformat.h
-- Looking for ffmpeg/avformat.h - found
```
Below lines in log should have a YES against FFMPEG. I think only thing left
to try is to build ffmmpeg from source.
```
-- Video I/O:
-- DC1394 1.x: NO
-- DC1394 2.x: NO
-- FFMPEG: NO
-- codec: YES (ver )
-- format: YES (ver )
-- util: YES (ver )
-- swscale: NO
-- resample: NO
-- gentoo-style: YES
-- GStreamer: NO
-- OpenNI: NO
-- OpenNI PrimeSensor Modules: NO
-- OpenNI2: NO
-- PvAPI: NO
-- GigEVisionSDK: NO
-- UniCap: NO
-- UniCap ucil: NO
```
Once you have installed OpenCV you can test it by -
Shell -
```shell
curl -o testVideoMp4.mp4
"https://github.com/smadha/tika/blob/TIKA-2322/tika-parsers/src/test/resources/test-documents/testVideoMp4.mp4?raw=true";
```
python -
```python
import cv2
cap = cv2.VideoCapture('testVideoMp4.mp4')
print cap.isOpened()
```
I am thinking it should be either a small change in my approach or we need
to replace
https://github.com/smadha/tika/blob/TIKA-2322/tika-parsers/src/main/resources/org/apache/tika/parser/recognition/tf/InceptionVideoRestDockerfile#L26-L32
with ffmpeg build from source.
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> Video labeling using existing ObjectRecognition
> -----------------------------------------------
>
> Key: TIKA-2322
> URL: https://issues.apache.org/jira/browse/TIKA-2322
> Project: Tika
> Issue Type: Improvement
> Components: parser
> Reporter: Madhav Sharan
> Assignee: Chris A. Mattmann
> Labels: memex
> Fix For: 1.15
>
>
> Currently TIKA supports ObjectRecognition in Images. I am proposing to extend
> this to support videos.
> Idea is -
> 1. Extract frames from video and run IncV3 to get labels for these frames.
> 2. We average confidence scores of same labels for each frame.
> 3. Return results in sorted order of confidence score.
> I am writing code for different modes of frame extractions -
> 1. Extract center image.
> 2. Extract frames after every fixed interval.
> 3. Extract N frames equally divided across video.
> We used this approach in [0]. Code in [1]
> [0] https://github.com/USCDataScience/hadoop-pot
> [1] https://github.com/USCDataScience/video-recognition
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