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@lRomul lRomul released this 17 Jun 00:15
· 5 commits to master since this release

Solution

The solution includes an efficient model architecture and a multi-stage training pipeline for spotting the instances of passes and drives occurring in soccer videos.

Key points:

  • Efficient model architecture for extracting information from video data
  • Multi-stage training pipeline (transfer learning, fine-tuning with long sequences)
  • Fast video loading pipeline for training (GPU decoding, no need for preprocessing with extracting images)