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• Is There ANYWAY to see the x_test data and labels after the train test split functions operations

  10 février 2023, par MatPar

  I am have been searching google etc for a solution to this challenge for a few weeks now.

  


  What is it ?
I am trying to visualise the data that is being used in the XTEST Variable via the split() function below.

  


  Either via text/string output or the actual image that is being used therein that variable at that given time. Both would be very helpful.

  


  For now I am using 80 videos in a Training 80 : Testing 20 split, where the validation is taking 20% of Training.

  


  I selected various types of data for the training to see how well the model is at predicting the outcome.

  


  So in the end I have just 16 videos for Testing for now.

  


  WHAT I AM TRYING TO SOLVE : IS ==> what those videos are ?!!!

  


  I have no way of knowing what selection of videos were chosen in that group of 16 for processing.

  


  To solve this, I am trying to pass in the video label so that it can present an ID of the specific selection within the XTEST data variable.

  


  WHY I AM DOING THIS
The model is being challenge by a selection of videos that I have no control over.
If I can identify these videos, I can analyse the data and enhance the model's performance accordingly.

  


  The confusion matrix is doing the same, it is presenting me with just 4 misclassifications but what those 4 misclassifications are ? I have no clue.

  


  That is not a good approach, hence me asking these questions.

  


  ** THE CODE ** where I am at

  


  X_train, Xtest, Y_train, Ytest = train_test_split(X, Y, train_size=0.8, test_size=0.2, random_state=1, stratify=Y, shuffle=True)
#print(Xtest)

history = model.fit(X_train, Y_train, validation_split=0.20, batch_size=args.batch,epochs=args.epoch, verbose=1, callbacks=[rlronp], shuffle=True)

predict_labels = model.predict(Xtest, batch_size=args.batch,verbose=1,steps=None,callbacks=None,max_queue_size=10,workers=1,use_multiprocessing=False)
print('This is prediction labels',predict_labels)# This has no video label indentifiers  


  


  This is working fine, but I cannot draw a hypothesis until I see what's within the Xtest variable.

  


  All I am getting is an array of data with no labels.

  


  For example : Xtest has 16 videos after the split operations :

  


  is it vid04.mp4, vid34.mp4, vid21.mp4, vid34.mp4, vid74.mp4, vid54.mp4, vid71.mp4, vid40.mp4, vid06.mp4, vid27.mp4, vid32.mp4, vid18.mp4, vid66.mp4, vid42.mp4, vid8.mp4, vid14.mp4, etc ???!?!??!?!

  


  This is what I really want to see !!!

  


  Please assist me to understand the process and where I am going wrong..
Thanx in advance for acknowledging my challenge !

  


• ffmpeg : How to set AVFormatContext from NSData

  21 janvier 2014, par SUKIYAKI

  I'm using FFmpeg library in Objective-C.

  I want to set AVFormatContext from NSData which contain imagedata.
  I know I can set AVFormatContext with av_open_input_file().
  so writing contents of NSData to a temporary file, I can do it like this.

  [data writeToFile:@"./temp.mov" atomically:YES];
  
  av_open_input_file(&pFormatCtx, "./temp.mov", NULL, 0, NULL);
  
  
  
  .
  
  .
  
  .
  
  
  
  NSFileManager *fm = [NSFileManager defaultManager];
  
  [fm removeFileAtPath:@"./temp.mov" handler:nil];

  but, I don't want to use temporary file.

  Does anyone know smart way ?

  sorry my poor English.

  Thanks

• Accessibility to Web video for the Vision-Impaired

  12 décembre 2010, par silvia

  In the past week, I was invited to an IBM workshop on audio/text descriptions for video in Japan. Geoff Freed and Trisha O’Connell from WGBH, and Michael Evans from BBC research were the other invited experts to speak about the current state of video accessibility around the world and where (...)