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Merge pull request #286 from qingy1337/patch-1 · OpenGVLab/InternVideo@5ac72a7 · GitHub

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Merge pull request #286 from qingy1337/patch-1
Update documentation
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‎InternVideo2/multi_modality/DEMO_USAGE_GUIDE.md‎

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# DEMO_USAGE_GUIDE
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# Demo Usage Guide
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## 1. Environment Configuration
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‎InternVideo2/single_modality/README.md‎

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:warning: **Notes:**
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1. Chage `DATA_PATH` to your data path before running the scripts.
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2. `--sampling_rate` is set to 1 for **sprase sampling**.
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2. `--sampling_rate` is set to 1 for **sparse sampling**.
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3. The latest checkpoint will be automatically saved while training, thus we use a large `--save_ckpt_freq`.
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4. For InternVideo2-1B and 6B, we use InternVL-C-13B and VideoMAEv2-g.
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```
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:warning: **Notes:**
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1. Chage `DATA_PATH` And `PREFIX` to your data path before running the scripts.
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2. Chage `MODEL_PATH` to your model path.
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1. Change `DATA_PATH` and `PREFIX` to your data path before running the scripts.
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2. Change `MODEL_PATH` to your model path.
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3. Set `--use_checkpoint` and `--checkpoint_num` to save GPU memory.
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4. The best checkpoint will be automatically evaluated with `--test_best`.
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5. Set `--test_num_segment` and `--test_num_crop` for different evaluation strategies.
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**We adopt the similar settings as pretraining, but use `MLP_Decoder` for better alignment.**
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:warning: **Notes:**
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1. Chage `DATA_PATH` to your data path before running the scripts.
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2. `--sampling_rate` is set to 1 for **sprase sampling**.
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1. Change `DATA_PATH` to your data path before running the scripts.
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2. `--sampling_rate` is set to 1 for **sparse sampling**.
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3. The latest checkpoint will be automatically saved while training, thus we use a large `--save_ckpt_freq`.
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4. For all models, we use InternVideo2-1B as teacher.
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4. For all models, we use InternVideo2-1B as teacher.

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