adding the screen splitter into repo as well

ContinuousScreenSplitter.swift

@@ -0,0 +1,157 @@
+import AVFoundation
+import Foundation
+import CoreMedia
+
+class ContinuousSegmenter: NSObject, AVCaptureVideoDataOutputSampleBufferDelegate, AVCaptureAudioDataOutputSampleBufferDelegate {
+  // MARK: – Configuration
+  let segmentDuration: CMTime = .init(seconds: 2, preferredTimescale: 600)
+  let outputDir: URL
+
+  // MARK: – Capture
+  let session = AVCaptureSession()
+  let videoOutput = AVCaptureVideoDataOutput()
+  let audioOutput = AVCaptureAudioDataOutput()
+
+  // MARK: – Writer state
+  var currentWriter: AVAssetWriter?
+  var videoInput: AVAssetWriterInput?
+  var audioInput: AVAssetWriterInput?
+  var segmentStartTime: CMTime = .zero
+  var segmentIndex = 0
+
+  init(outputDir: URL) {
+    self.outputDir = outputDir
+    super.init()
+    setupSession()
+    // Prepare first writer starting at time zero
+    rollWriter(at: .zero)
+  }
+
+  private func setupSession() {
+    session.beginConfiguration()
+    session.sessionPreset = .high
+
+    // Screen input (main display)
+    let displayID = CGMainDisplayID()
+    guard let screenIn = AVCaptureScreenInput(displayID: displayID) else {
+      fatalError("❌ Unable to create screen input")
+    }
+    screenIn.minFrameDuration = CMTime(value: 1, timescale: 30)
+    screenIn.capturesCursor = true
+    session.addInput(screenIn)
+
+    // Audio input (system audio via BlackHole as default)
+    guard let audioDev = AVCaptureDevice.default(for: .audio),
+          let audioIn = try? AVCaptureDeviceInput(device: audioDev),
+          session.canAddInput(audioIn) else {
+      fatalError("❌ Unable to create audio input")
+    }
+    session.addInput(audioIn)
+
+    // Data outputs
+    let q = DispatchQueue(label: "segmentation.queue")
+    videoOutput.setSampleBufferDelegate(self, queue: q)
+    audioOutput.setSampleBufferDelegate(self, queue: q)
+    guard session.canAddOutput(videoOutput), session.canAddOutput(audioOutput) else {
+      fatalError("❌ Unable to add data outputs")
+    }
+    session.addOutput(videoOutput)
+    session.addOutput(audioOutput)
+    session.commitConfiguration()
+  }
+
+  private func rollWriter(at startTime: CMTime) {
+    // Finish previous writer asynchronously
+    if let oldWriter = currentWriter {
+      oldWriter.finishWriting {
+        print("✅ Finished segment \(self.segmentIndex - 1)")
+      }
+    }
+
+    // Set up new writer
+    do {
+      let filename = String(format: "segment_%03d.mov", segmentIndex)
+      let fileURL = outputDir.appendingPathComponent(filename)
+      try FileManager.default.createDirectory(at: outputDir, withIntermediateDirectories: true)
+
+      let writer = try AVAssetWriter(outputURL: fileURL, fileType: .mov)
+
+      // Video Input Configuration
+      let vSettings: [String: Any] = [
+        AVVideoCodecKey: AVVideoCodecType.h264,
+        AVVideoWidthKey: 1280,
+        AVVideoHeightKey: 720
+      ]
+      let vInput = AVAssetWriterInput(mediaType: .video, outputSettings: vSettings)
+      vInput.expectsMediaDataInRealTime = true
+      writer.add(vInput)
+
+      // Audio Input Configuration
+      let aSettings: [String: Any] = [
+        AVFormatIDKey: kAudioFormatMPEG4AAC,
+        AVNumberOfChannelsKey: 2,
+        AVSampleRateKey: 48000,
+        AVEncoderBitRateKey: 128000
+      ]
+      let aInput = AVAssetWriterInput(mediaType: .audio, outputSettings: aSettings)
+      aInput.expectsMediaDataInRealTime = true
+      writer.add(aInput)
+
+      // Assign new writer & inputs
+      currentWriter = writer
+      videoInput = vInput
+      audioInput = aInput
+      segmentStartTime = startTime
+      segmentIndex += 1
+
+      // Start writing session
+      writer.startWriting()
+      writer.startSession(atSourceTime: startTime)
+      print("▶️ Started segment \(segmentIndex - 1) at \(startTime.seconds) s")
+    } catch {
+      fatalError("❌ Could not start writer: \(error)")
+    }
+  }
+
+  func start() {
+    session.startRunning()
+  }
+
+  private func handle(_ sample: CMSampleBuffer, mediaType: AVMediaType) {
+    guard CMSampleBufferDataIsReady(sample), currentWriter != nil else { return }
+
+    let pts = CMSampleBufferGetPresentationTimeStamp(sample)
+
+    // Check for segment rollover
+    if CMTimeSubtract(pts, segmentStartTime) >= segmentDuration {
+      rollWriter(at: pts)
+    }
+
+    // Append to writer inputs
+    if mediaType == .video, let vInput = videoInput, vInput.isReadyForMoreMediaData {
+      vInput.append(sample)
+    }
+    if mediaType == .audio, let aInput = audioInput, aInput.isReadyForMoreMediaData {
+      aInput.append(sample)
+    }
+  }
+
+  // MARK: – Delegates
+  func captureOutput(_ output: AVCaptureOutput,
+                     didOutput sampleBuffer: CMSampleBuffer,
+                     from connection: AVCaptureConnection) {
+    if output === videoOutput {
+      handle(sampleBuffer, mediaType: .video)
+    } else if output === audioOutput {
+      handle(sampleBuffer, mediaType: .audio)
+    }
+  }
+}
+
+// === main ===
+let cwd = URL(fileURLWithPath: FileManager.default.currentDirectoryPath)
+let segmentsDir = cwd.appendingPathComponent("segments")
+let segmenter = ContinuousSegmenter(outputDir: segmentsDir)
+segmenter.start()
+RunLoop.main.run()
+

README.md

@@ -58,6 +58,8 @@ This inference pipeline is part of a larger AWS-based NFL play analysis system.
 
 ```plaintext
 ├── data/                   # Put your 2s video clips here (.mov or .mp4)
+├── segments/               # Output directory for ContinuousScreenSplitter.swift
+├── ContinuousScreenSplitter.swift # Swift tool to capture screen and split into 2s segments
 ├── inference.py            # Main inference script: loads model and scores one clip
 ├── run_all_clips.py        # Wrapper to iterate over all clips and save classification + transcripts
 ├── kinetics_classnames.json# Kinetics-400 label map (auto-downloaded on first run)
@@ -72,6 +74,8 @@ This inference pipeline is part of a larger AWS-based NFL play analysis system.
 * **ffmpeg** installed (for clip generation)
 * **git**
 * **Miniconda or Anaconda** (recommended for macOS compatibility)
+* **Xcode/Swift** (for screen capture tool)
+* **BlackHole audio driver** (recommended for system audio capture)
 
 ## Setup
 
@@ -105,11 +109,26 @@ pip install -r requirements.txt
 
 ## Usage
 
-### 1. Place your clips
+### 1. Generate clips with screen capture (optional)
 
-Copy your 2-second video segments into the `data/` directory. Supported formats: `.mov`, `.mp4`.
+If you want to capture live screen content and automatically split it into 2-second segments:
 
-### 2. Score a single clip
+```bash
+swift ContinuousScreenSplitter.swift
+```
+
+This will:
+- Capture your screen in real-time (1280x720, 30fps)
+- Include system audio (requires BlackHole or similar audio driver)
+- Automatically split into 2-second segments: `segment_000.mov`, `segment_001.mov`, etc.
+- Save files to the `segments/` directory
+- Run continuously until stopped with Ctrl+C
+
+### 2. Place your clips
+
+Copy your 2-second video segments into the `data/` directory (or use `segments/` from screen capture). Supported formats: `.mov`, `.mp4`.
+
+### 3. Score a single clip
 
 ```bash
 python inference.py data/segment_000.mov
@@ -120,7 +139,7 @@ This will:
 - Generate audio transcription using Wav2Vec2
 - Save results to `classification.json` and `transcripts.json`
 
-### 3. Process all clips in bulk
+### 4. Process all clips in bulk
 
 ```bash
 chmod +x run_all_clips.py
@@ -135,6 +154,26 @@ chmod +x run_all_clips.py
   - `transcripts.json` (audio transcriptions)
 * Handles errors gracefully (empty lists/strings for failed clips)
 
+## Complete Workflow Example
+
+For a full end-to-end NFL play analysis workflow:
+
+```bash
+# 1. Start screen capture (in one terminal)
+swift ContinuousScreenSplitter.swift
+
+# 2. Let it capture some NFL footage, then stop with Ctrl+C
+
+# 3. Process all captured segments (in another terminal)
+source .venv/bin/activate
+python -c "from run_all_clips import main; main('segments', 'segments_classification.json', 'segments_transcripts.json')"
+
+# 4. Or process specific clips from data/
+./run_all_clips.py
+```
+
+This workflow captures live NFL content, automatically segments it, and then analyzes each segment for both visual actions and audio content.
+
 ## Output
 
 * **Console logs** with classification results, transcripts, `[INFO]` and `[ERROR]` messages.

classification.json

@@ -1,1256 +1,1675 @@
 {
   "segment_001.mov": [
     [
-      "\"kicking field goal\"",
-      0.003552362322807312
+      "\"catching or throwing baseball\"",
+      0.003259257646277547
     ],
     [
-      "\"passing American football (not in game)\"",
-      0.0028873898554593325
+      "\"playing cricket\"",
+      0.002848330419510603
     ],
     [
-      "situp",
-      0.0027720786165446043
+      "applauding",
+      0.0027428145986050367
     ],
     [
-      "\"catching or throwing baseball\"",
-      0.0026737917214632034
+      "\"catching or throwing softball\"",
+      0.002633878029882908
     ],
     [
       "\"passing American football (in game)\"",
-      0.0026097719091922045
+      0.0025873929262161255
     ]
   ],
   "segment_002.mov": [
     [
-      "\"bending back\"",
-      0.0034063917119055986
+      "\"mowing lawn\"",
+      0.004539191722869873
     ],
     [
-      "\"juggling soccer ball\"",
-      0.002737208502367139
+      "\"riding or walking with horse\"",
+      0.002820482011884451
     ],
     [
-      "\"stretching leg\"",
-      0.002645845990628004
+      "\"driving tractor\"",
+      0.002591945929452777
     ],
     [
       "\"catching or throwing baseball\"",
-      0.0026453330647200346
+      0.002587514230981469
     ],
     [
-      "\"throwing ball\"",
-      0.0026449800934642553
+      "archery",
+      0.0025512496940791607
     ]
   ],
   "segment_003.mov": [
     [
-      "\"stretching leg\"",
-      0.003205658635124564
+      "\"hurling (sport)\"",
+      0.0035289316438138485
     ],
     [
-      "\"juggling soccer ball\"",
-      0.0028841837774962187
+      "headbutting",
+      0.0029045743867754936
     ],
     [
-      "squat",
-      0.0027514416724443436
+      "\"passing American football (not in game)\"",
+      0.002668950939550996
     ],
     [
-      "\"shot put\"",
-      0.002737975213676691
+      "\"pumping fist\"",
+      0.0026475831400603056
     ],
     [
-      "\"bending back\"",
-      0.0026664533652365208
+      "\"playing cricket\"",
+      0.002635735785588622
     ]
   ],
   "segment_004.mov": [
     [
-      "\"stretching leg\"",
-      0.0029067774303257465
+      "applauding",
+      0.00304257869720459
     ],
     [
-      "\"stretching arm\"",
-      0.0028732316568493843
+      "headbutting",
+      0.0029725206550210714
     ],
     [
-      "\"shot put\"",
-      0.0027661079075187445
+      "\"pumping fist\"",
+      0.0029444803949445486
     ],
     [
-      "\"juggling soccer ball\"",
-      0.0027305767871439457
+      "\"hurling (sport)\"",
+      0.0027822419069707394
     ],
     [
-      "\"passing American football (not in game)\"",
-      0.002698266878724098
+      "\"shaking hands\"",
+      0.002624393440783024
     ]
   ],
   "segment_005.mov": [
     [
-      "\"catching or throwing softball\"",
-      0.0030591581016778946
+      "\"catching or throwing baseball\"",
+      0.003370030550286174
     ],
     [
-      "\"passing American football (not in game)\"",
-      0.0028518415056169033
+      "\"pumping fist\"",
+      0.00289507070556283
     ],
     [
-      "\"juggling soccer ball\"",
-      0.002849987940862775
+      "\"catching or throwing frisbee\"",
+      0.0026615660171955824
     ],
     [
-      "\"catching or throwing baseball\"",
-      0.0027824246790260077
+      "\"eating hotdog\"",
+      0.002651733811944723
     ],
     [
-      "\"kicking soccer ball\"",
-      0.0026190055068582296
+      "\"javelin throw\"",
+      0.0026478723157197237
     ]
   ],
   "segment_006.mov": [
     [
-      "\"passing American football (not in game)\"",
-      0.0030736271291971207
+      "\"riding mountain bike\"",
+      0.0030539515428245068
     ],
     [
-      "\"juggling soccer ball\"",
-      0.003049590392038226
+      "\"bench pressing\"",
+      0.0030068582855165005
     ],
     [
-      "\"catching or throwing frisbee\"",
-      0.0026740795001387596
+      "\"changing wheel\"",
+      0.0028557234909385443
     ],
     [
-      "lunge",
-      0.0026382231153547764
+      "\"checking tires\"",
+      0.002828161232173443
     ],
     [
-      "\"catching or throwing softball\"",
-      0.0026299566961824894
+      "\"changing oil\"",
+      0.0025825132615864277
     ]
   ],
   "segment_007.mov": [
     [
-      "hopscotch",
-      0.0047843800857663155
+      "\"changing oil\"",
+      0.003507673041895032
     ],
     [
-      "\"side kick\"",
-      0.0027751396410167217
+      "\"pushing wheelchair\"",
+      0.0028540242929011583
     ],
     [
-      "lunge",
-      0.002653127769008279
+      "motorcycling",
+      0.002735486486926675
     ],
     [
-      "hurdling",
-      0.0026507386937737465
+      "\"checking tires\"",
+      0.0026065800338983536
     ],
     [
-      "\"kicking field goal\"",
-      0.0025988242123275995
+      "\"changing wheel\"",
+      0.0026001674123108387
     ]
   ],
   "segment_008.mov": [
     [
-      "\"side kick\"",
-      0.0034708974417299032
+      "motorcycling",
+      0.0034892940893769264
     ],
     [
-      "hopscotch",
-      0.003377835964784026
+      "\"riding mountain bike\"",
+      0.0027264610398560762
     ],
     [
-      "lunge",
-      0.003069279482588172
+      "\"pushing wheelchair\"",
+      0.0026729153469204903
     ],
     [
-      "dodgeball",
-      0.0025716733653098345
+      "\"changing oil\"",
+      0.002655936172232032
     ],
     [
-      "\"dribbling basketball\"",
-      0.002566312439739704
+      "snowmobiling",
+      0.002622972708195448
     ]
   ],
   "segment_009.mov": [
     [
-      "lunge",
-      0.004086305387318134
+      "\"kicking field goal\"",
+      0.0051559642888605595
     ],
     [
-      "\"side kick\"",
-      0.003251419635489583
+      "\"tossing coin\"",
+      0.002858997555449605
     ],
     [
-      "hopscotch",
-      0.0026677357964217663
+      "\"passing American football (in game)\"",
+      0.002840855158865452
     ],
     [
-      "\"swinging legs\"",
-      0.002591455355286598
+      "\"high kick\"",
+      0.0024956425186246634
     ],
     [
-      "\"dribbling basketball\"",
-      0.002559640444815159
+      "headbutting",
+      0.002494481625035405
     ]
   ],
   "segment_010.mov": [
     [
-      "hopscotch",
-      0.0034723191056400537
+      "\"tossing coin\"",
+      0.003494303673505783
     ],
     [
-      "\"side kick\"",
-      0.0033858485985547304
+      "headbutting",
+      0.003139702370390296
     ],
     [
-      "lunge",
-      0.0031033491250127554
+      "\"kicking field goal\"",
+      0.003000226803123951
     ],
     [
-      "\"dribbling basketball\"",
-      0.002565472386777401
+      "\"passing American football (in game)\"",
+      0.0028010711539536715
     ],
     [
-      "\"high kick\"",
-      0.002539627952501178
+      "\"pumping fist\"",
+      0.0026133027859032154
     ]
   ],
   "segment_011.mov": [
     [
-      "hopscotch",
-      0.0036666507367044687
+      "headbutting",
+      0.0035944455303251743
     ],
     [
-      "lunge",
-      0.0035770833492279053
+      "\"kicking field goal\"",
+      0.002746515441685915
     ],
     [
-      "\"side kick\"",
-      0.0027519045397639275
+      "\"passing American football (in game)\"",
+      0.00274651194922626
     ],
     [
-      "\"dribbling basketball\"",
-      0.002566630719229579
+      "cheerleading",
+      0.0027097328566014767
     ],
     [
-      "dodgeball",
-      0.002552987542003393
+      "\"playing ice hockey\"",
+      0.002675419207662344
     ]
   ],
   "segment_012.mov": [
     [
-      "\"passing American football (not in game)\"",
-      0.0034583976957947016
+      "cheerleading",
+      0.0033036908134818077
     ],
     [
-      "\"kicking field goal\"",
-      0.0027459347620606422
+      "\"dancing macarena\"",
+      0.0031919179018586874
     ],
     [
-      "archery",
-      0.002715516136959195
+      "applauding",
+      0.0027217946480959654
     ],
     [
-      "\"catching or throwing baseball\"",
-      0.002664923435077071
+      "\"hitting baseball\"",
+      0.0026708708610385656
     ],
     [
-      "\"playing poker\"",
-      0.0026641194708645344
+      "\"garbage collecting\"",
+      0.0026213040109723806
     ]
   ],
   "segment_013.mov": [
     [
-      "marching",
-      0.006541112903505564
+      "\"pumping fist\"",
+      0.0035472228191792965
     ],
     [
       "\"kicking field goal\"",
-      0.0025406822096556425
+      0.0027715854812413454
     ],
     [
-      "\"passing American football (in game)\"",
-      0.002502450020983815
+      "\"dunking basketball\"",
+      0.0027416404336690903
     ],
     [
-      "\"passing American football (not in game)\"",
-      0.002495713997632265
+      "applauding",
+      0.002673310926184058
     ],
     [
-      "\"high kick\"",
-      0.002494082786142826
+      "celebrating",
+      0.002629267517477274
     ]
   ],
   "segment_014.mov": [
     [
-      "\"passing American football (in game)\"",
-      0.004358941689133644
+      "headbutting",
+      0.0038350492250174284
     ],
     [
-      "\"kicking field goal\"",
-      0.0032437865156680346
+      "bobsledding",
+      0.002937863813713193
     ],
     [
-      "\"passing American football (not in game)\"",
-      0.0029112230986356735
+      "\"playing ice hockey\"",
+      0.002785387681797147
     ],
     [
-      "\"side kick\"",
-      0.002513919025659561
+      "\"punching person (boxing)\"",
+      0.002671806840226054
     ],
     [
-      "\"high kick\"",
-      0.0025063499342650175
+      "\"changing wheel\"",
+      0.0026315213181078434
     ]
   ],
   "segment_015.mov": [
     [
-      "\"side kick\"",
-      0.00483806524425745
+      "\"passing American football (in game)\"",
+      0.00389948021620512
     ],
     [
-      "dodgeball",
-      0.002812813501805067
+      "\"side kick\"",
+      0.003301523393020034
     ],
     [
-      "hopscotch",
-      0.0026149246841669083
+      "\"kicking field goal\"",
+      0.002986735198646784
     ],
     [
-      "\"dribbling basketball\"",
-      0.0026083237025886774
+      "\"passing American football (not in game)\"",
+      0.0026217757258564234
     ],
     [
-      "\"high kick\"",
-      0.002590620657429099
+      "\"catching or throwing baseball\"",
+      0.002540471963584423
     ]
   ],
   "segment_016.mov": [
     [
-      "\"side kick\"",
-      0.005211047362536192
+      "\"passing American football (in game)\"",
+      0.006536518689244986
     ],
     [
-      "\"high kick\"",
-      0.0027922210283577442
+      "\"side kick\"",
+      0.0025378491263836622
     ],
     [
-      "\"punching bag\"",
-      0.002599153434857726
+      "\"passing American football (not in game)\"",
+      0.0025076796300709248
     ],
     [
-      "hopscotch",
-      0.00254083052277565
+      "\"kicking field goal\"",
+      0.002507618861272931
     ],
     [
-      "\"building shed\"",
-      0.0025326977483928204
+      "\"high kick\"",
+      0.0024923686869442463
     ]
   ],
   "segment_017.mov": [
     [
-      "\"pumping gas\"",
-      0.003253463190048933
+      "\"passing American football (in game)\"",
+      0.004528654273599386
     ],
     [
-      "\"pushing wheelchair\"",
-      0.0028767315670847893
+      "\"kicking field goal\"",
+      0.003415569895878434
     ],
     [
-      "\"pumping fist\"",
-      0.0028157548513263464
+      "\"passing American football (not in game)\"",
+      0.0026175878010690212
     ],
     [
-      "\"running on treadmill\"",
-      0.002691960195079446
+      "\"side kick\"",
+      0.0025776273105293512
     ],
     [
-      "\"driving car\"",
-      0.0026544590946286917
+      "\"high kick\"",
+      0.0025026851799339056
     ]
   ],
   "segment_018.mov": [
     [
-      "\"pumping gas\"",
-      0.003015637630596757
+      "\"passing American football (in game)\"",
+      0.004061450716108084
     ],
     [
-      "\"driving car\"",
-      0.002751568565145135
+      "\"side kick\"",
+      0.0038009993731975555
     ],
     [
-      "\"pushing wheelchair\"",
-      0.0026763214264065027
+      "\"kicking field goal\"",
+      0.002601894084364176
     ],
     [
-      "motorcycling",
-      0.0026446462143212557
+      "\"high kick\"",
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 }

transcripts.json

@@ -1,59 +1,79 @@
 {
-  "segment_001.mov": "TA N ONE   THE SECOND",
-  "segment_002.mov": "FAY FOOLISH",
-  "segment_003.mov": "TO SOME ORBE",
-  "segment_004.mov": "AD TIT UP  FORTY FART I E E BOY",
-  "segment_005.mov": "HIN TO THE WIN A",
-  "segment_006.mov": "SARTEONE'S ABAL WHI",
-  "segment_007.mov": "TIL ABOUT TEN O FIFTEEN",
-  "segment_008.mov": "TWENTY MIURS AN HOUR",
-  "segment_009.mov": "THAT'S CALLYO ON THE LEFT",
-  "segment_010.mov": "AND JOSTAS HILL ON THE MOING",
-  "segment_011.mov": "US COI AS A LOKY",
-  "segment_012.mov": "WHY IN A SCHOOL GAME",
-  "segment_013.mov": "IO AG",
-  "segment_014.mov": "WIAS TTE T",
-  "segment_015.mov": "WEL SON TO THE",
-  "segment_016.mov": "YOUR  TO THE FULLIOU",
-  "segment_017.mov": "IT WILL BE FIRST TIN JAN",
-  "segment_018.mov": "WY THE OT EXCENT",
-  "segment_019.mov": "AOF TOW",
-  "segment_020.mov": "SIFORE",
-  "segment_021.mov": "RIX TOF CUR",
-  "segment_022.mov": "SSESE",
-  "segment_023.mov": "CONSIDERABLBE TAIRS AS ATE",
-  "segment_024.mov": "THEY THEY TAY THE HASAS AS E",
-  "segment_025.mov": "S AS WELL AS HE AS AS IS AER",
-  "segment_026.mov": "THEY POUGT IT WORI COMPINAC ON",
-  "segment_027.mov": "E DERATE R B",
-  "segment_028.mov": "HERE IVUS TACT OF OKS OF THE PAPLES PE",
-  "segment_029.mov": "TER TO PRAY THE BOX ALL DAY TAS",
-  "segment_030.mov": "TT THIS WRJECT ON'T BE SURPRISED",
-  "segment_031.mov": "ASBE GE TME",
-  "segment_032.mov": "EMIAN",
-  "segment_033.mov": "O A FO",
-  "segment_034.mov": "AN THE OTHER SITSS",
-  "segment_035.mov": "S OF WO",
-  "segment_036.mov": "FELL I MOTION IS FO",
-  "segment_037.mov": "I GOS TO OS JUG SAY",
-  "segment_038.mov": "VERY DEEARLITBLE",
-  "segment_039.mov": "MY CALLER AN OTHER BONS GOES",
-  "segment_040.mov": "FLOWERS WHERE THE JEPS WEE",
-  "segment_041.mov": "AND ON THE BOY PICKS UP",
-  "segment_042.mov": "INTO THE FORTY NINE",
-  "segment_043.mov": "ON THEIR OFFINS OF WILE WHA",
-  "segment_044.mov": "STANLEY HAS BEEN TERRIFIC A CLEC",
-  "segment_045.mov": "TACKLE HE'S  THE EROY HOUSE BROTHER",
-  "segment_046.mov": "T SOM UFF LAGHT OF THE GUARDS AS YOU SEE THAT",
-  "segment_047.mov": "THE WAY OF THE LOOKIN ROZA GARTNEL",
-  "segment_048.mov": "I MASI ATOR PECAR",
-  "segment_049.mov": "FOR WE TU E UTS OVER E TO",
-  "segment_050.mov": "TOSE I WERE TET FOR THE STAN",
-  "segment_051.mov": "IS LIK OF EXO",
-  "segment_052.mov": "DS THE THEAD THEIR BEN",
-  "segment_053.mov": "O IS WIKER I NOAJE",
-  "segment_054.mov": "DOO ATEOP",
-  "segment_055.mov": "NE A",
-  "segment_056.mov": "THEY ARE THE GINS",
-  "segment_057.mov": "OT DON'T HAVE TO BE OF VEI"
+  "segment_001.mov": "YOU  T WABOU GOT OM RIGT NOW",
+  "segment_002.mov": "THE SIX TE BEST  POLL BACK AND THE OT",
+  "segment_003.mov": "WELL WELL AN THAT'S JUST KILE",
+  "segment_004.mov": "Y BA ALF PASSING RID IT'S IT'S LI",
+  "segment_005.mov": "GOTA CONSIDER WHAT HE IS ES ATU",
+  "segment_006.mov": "TON AND BE PAD THAT USES AS",
+  "segment_007.mov": "LEGS AS WELL AS HE USES HIS ARM A",
+  "segment_008.mov": "THEY FOUND A GREAT COMMENATION",
+  "segment_009.mov": "WITH ME A DERI GENERY BUT",
+  "segment_010.mov": "TERGAN A SACK TO BOX AT T BANGLES",
+  "segment_011.mov": "O LIKE TE  HAVE TO PUT AITE THE BOX ALL DAY T",
+  "segment_012.mov": "O STOP THIS RUNYAT DON'T BE SURPRISED",
+  "segment_013.mov": "THAT E BANN HAS A PIG DAY THROUGH THE",
+  "segment_014.mov": "ER MEMORY AN",
+  "segment_015.mov": "FAR WORBIN THE EYE FOR",
+  "segment_016.mov": "SH AND NOW THEY SWORTS ALWAYS ABOUT SIX",
+  "segment_017.mov": "BOUNDS OF WARRY",
+  "segment_018.mov": "FVEIRY MOTION IS FOAR",
+  "segment_019.mov": "THAT GOES TO FOWERS JUC",
+  "segment_020.mov": "WHAT BY WI PAS AND A FO",
+  "segment_021.mov": "MY COLLAR AND OUT OF BOUNDS GOES",
+  "segment_022.mov": "AYFLOWERS WITH A JET SWEE",
+  "segment_023.mov": "AND ON THE POYE PICKS UP NO",
+  "segment_024.mov": "AN TO THE THIRTY NINE",
+  "segment_025.mov": "I MET OFFENSOF WING WAR",
+  "segment_026.mov": "NY STANLEY HAS BEEN TERRIFIC AT THE LEAP",
+  "segment_027.mov": "TACKLE HE'S HEALTHY HE REALLY HAS BEEN THE",
+  "segment_028.mov": "S BEEN SOME SHUFFLING AT THE GUARDS AS YOU SEE THAT",
+  "segment_029.mov": "ONED AROUND AND THE ROOKY ROSY GARDENAL",
+  "segment_030.mov": "WERE ON THE SIDE PATRICK REGARD",
+  "segment_031.mov": "FORTY TWO HE GETS OVERLOOKED ALOT",
+  "segment_032.mov": "UT NIGOES EVERYTHING FOR THE STAN IN",
+  "segment_033.mov": "I BAZILY LIKE AN EXTRA WISE",
+  "segment_034.mov": "NOR EXPERT IDIN ABOUT THEIRE LEADING",
+  "segment_035.mov": "HOLE POTIS ONEN A GREAT JU",
+  "segment_036.mov": "P A TOP TOPEN LIFE OR  TRECKEN WUP A",
+  "segment_037.mov": "SUPPORT NETHER SLUCK A DON AND",
+  "segment_038.mov": "THAT WHERE THE DIES",
+  "segment_039.mov": "",
+  "segment_040.mov": "AND A GANE OF FOR IS",
+  "segment_041.mov": "HE'S OUT TO THE FORTY THREE",
+  "segment_042.mov": "AND AT FIRST DOWN O",
+  "segment_043.mov": "S A LOOK AT FOND BELL OR MAKES THAT ST",
+  "segment_044.mov": "UP AND UNMET DEFENCE OF LIND",
+  "segment_045.mov": "THEY GET BACK CHRISJENKINS",
+  "segment_046.mov": "AND KILL HEDRICKS IN HIS HEALTH",
+  "segment_047.mov": "HOPBERED ON THE OTHER SIDE AYAD",
+  "segment_048.mov": "THAT THE DEFENCES HAS BEEN NOPIC",
+  "segment_049.mov": "LONG SOME THIS YEAR FOR THEY ARE GETTING HEALTHY AS YOU",
+  "segment_050.mov": "ENC O THAT GET BACMA KINLY JACKSIN TO THY THE",
+  "segment_051.mov": "T MILE S BORK  YE AL MISS  LA",
+  "segment_052.mov": "COPAL GAMES IT'S A BORGAR",
+  "segment_053.mov": "THAT WOOKED OTHER FROM EGGERING",
+  "segment_054.mov": "FO TE TOLL OF THAT",
+  "segment_055.mov": "TACKLEMAY BY BOBBE",
+  "segment_056.mov": "FORTY FIVE AND A GAIN AT TWO",
+  "segment_057.mov": "E'LL BE JACKIN DOWN AND ATE",
+  "segment_058.mov": "WELL IT'S GOING TO BE IMPORTANT ALL DAY",
+  "segment_059.mov": "ONG THE TACKLE ALOW YOU GOT TO BE ABLE",
+  "segment_060.mov": "TO TAKE THE LEGS OUT OF THEIR",
+  "segment_061.mov": "OR KINWRY IF YOU IF YOU GO UP TOO HIGH YOU KN",
+  "segment_062.mov": "W THAT STIP AN AND GETS IN THE OPEN FIELD TO",
+  "segment_063.mov": "BEAD SO EXCELLENT JOB THEIR",
+  "segment_064.mov": "R BY HILL AND HUBBARD TO BRING HIM DOWN",
+  "segment_065.mov": "",
+  "segment_066.mov": "SO WITH THE HEAD MI COLTEN IS",
+  "segment_067.mov": "T TO DAY ME AND FORGIDDN'T PRACTIV",
+  "segment_068.mov": "A WEEK D J TURN HER",
+  "segment_069.mov": "UTS LAKIN YER BE TEN TOBACC",
+  "segment_070.mov": "ALE A SHRIK IN TAKING HIS PLICE",
+  "segment_071.mov": "THAN THE FIRST POSSESSION THE DAY",
+  "segment_072.mov": "IM SECOND DOWN AND EI",
+  "segment_073.mov": "THAT WAT GOD IS ON THE MON",
+  "segment_074.mov": "JACKSON TO THE AIL",
+  "segment_075.mov": "SINGS ABOUT TE OL COL",
+  "segment_076.mov": "ERE MAKES THE GRAB",
+  "segment_077.mov": ""
 }