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VacationVids.mp4

Vacationvids.mp4

Two-time Pulitzer Prize-winning author Lynn Nottage’s play “Intimate Apparel” tells the story of a 1905 successful African American seamstress who makes revolutionary undergarments for an array of women – from high-society socialites to enterprising ladies of the night. Her business, innovative skills, and utter discretion are much in demand, but at 35, her personal life has taken a backseat. “Intimate Apparel” explores her forbidden relationships with an Orthodox Jewish fabric vendor, her privileged and struggling clientele, and a long-distance suitor who will profoundly change her life.

  • "Intimate Apparel is ultimately a play about hope, and Arizona Theatre Company’s superb production is a testament to the power of hope and perseverance in the face of adversity... "
    - Gil Benbrook, Talkin' Broadway
  • "Tracey N. Bonner’s tour de force performance brings immense depth and gravitas to her role and strikes perfect balances in shaping a character that is possessed of humility, dignity, and tenacity."
    - Herb Paine, Broadway World
  • "Oz Scott’s sharp direction keeps the play gliding along on an exquisite unit set that transforms into the play’s various locales with swift fluidity and definition."
    - Chris Curcio, Curtain Up Phoenix
  • "Nottage is a poetic writer and a powerful storyteller. ATC gives her play the production it deserves."
    - Kathleen Allen, Arizona Daily Star
  • "A must-see production."
    - Herb Paine, Broadway World

Vacationvids.mp4

: Compress hours of travel into seconds to show the passage of time.

If you are comfortable with Python, you can use pre-trained models to analyze your MP4: VacationVids.mp4

: Instead of just wide shots, include "deep" zoom-ins on local food or textures. : Compress hours of travel into seconds to

Once you've extracted the data, you can build "deep" creative versions of your vacation video: VacationVids.mp4

: Use a Convolutional Neural Network (CNN) or LSTM to see how these features change over time, which helps identify "forgery" (unexpected jumps) or "events" (a specific activity).

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