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| license: apache-2.0 |
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| To reverse engineer the model, you need to download it to: runtime/models/MiniCPM-V-4_5 |
| https://modelscope.ai/models/OpenBMB/MiniCPM-V-4_5/files |
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| You need to extract caption_python.7z to the runtime directory. This is the Python environment. Due to the large number of subfiles, it can only be uploaded as a compressed package. If you don't want to download it or feel it's risky, you can download Codex and have it download a new environment for you. |
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| Detailed tutorial: https://youtu.be/h27Sedb_v08 |
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| Features: |
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| 1. Edits videos to the frame rate/resolution needed for training. |
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| 2. Includes cropping functionality to remove unwanted subtitles/black borders. |
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| 3. Offers faster frame range selection. |
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| 4. Records timeline, cropping box, and cue words for each data point, allowing for easy secondary editing without the need for manual adjustments and proofreading required by traditional editing tools. |
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| 5. Includes a cue word derivation function. Requires 16GB of VRAM for local operation. Low VRAM mode can be enabled in the settings if VRAM is insufficient. |
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| 6. English language can be enabled in the settings. |
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| 7. Supports batch conversion of frame rate/resolution for existing datasets. |
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