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|---|---|---|---|
@@ -1,4 +1,4 @@ | |||
| 1 | - # DEMO_USAGE_GUIDE | ||
| 1 | + # Demo Usage Guide | ||
| 2 | 2 | ||
| 3 | 3 | ## 1. Environment Configuration | |
| 4 | 4 | ||
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@@ -23,7 +23,7 @@ bash ./scripts/pretraining/1B_pt.sh | |||
| 23 | 23 | ||
| 24 | 24 | :warning: **Notes:** | |
| 25 | 25 | 1. Chage `DATA_PATH` to your data path before running the scripts. | |
| 26 | - 2. `--sampling_rate` is set to 1 for **sprase sampling**. | ||
| 26 | + 2. `--sampling_rate` is set to 1 for **sparse sampling**. | ||
| 27 | 27 | 3. The latest checkpoint will be automatically saved while training, thus we use a large `--save_ckpt_freq`. | |
| 28 | 28 | 4. For InternVideo2-1B and 6B, we use InternVL-C-13B and VideoMAEv2-g. | |
| 29 | 29 | ||
@@ -36,8 +36,8 @@ bash ./scripts/finetuning/full_tuning/k400/1B_ft_k710_ft_k400_f8.sh | |||
| 36 | 36 | ``` | |
| 37 | 37 | ||
| 38 | 38 | :warning: **Notes:** | |
| 39 | - 1. Chage `DATA_PATH` And `PREFIX` to your data path before running the scripts. | ||
| 40 | - 2. Chage `MODEL_PATH` to your model path. | ||
| 39 | + 1. Change `DATA_PATH` and `PREFIX` to your data path before running the scripts. | ||
| 40 | + 2. Change `MODEL_PATH` to your model path. | ||
| 41 | 41 | 3. Set `--use_checkpoint` and `--checkpoint_num` to save GPU memory. | |
| 42 | 42 | 4. The best checkpoint will be automatically evaluated with `--test_best`. | |
| 43 | 43 | 5. Set `--test_num_segment` and `--test_num_crop` for different evaluation strategies. | |
@@ -54,7 +54,7 @@ bash ./scripts/finetuning/full_tuning/k400/1B_ft_k710_ft_k400_f8.sh | |||
| 54 | 54 | **We adopt the similar settings as pretraining, but use `MLP_Decoder` for better alignment.** | |
| 55 | 55 | ||
| 56 | 56 | :warning: **Notes:** | |
| 57 | - 1. Chage `DATA_PATH` to your data path before running the scripts. | ||
| 58 | - 2. `--sampling_rate` is set to 1 for **sprase sampling**. | ||
| 57 | + 1. Change `DATA_PATH` to your data path before running the scripts. | ||
| 58 | + 2. `--sampling_rate` is set to 1 for **sparse sampling**. | ||
| 59 | 59 | 3. The latest checkpoint will be automatically saved while training, thus we use a large `--save_ckpt_freq`. | |
| 60 | - 4. For all models, we use InternVideo2-1B as teacher. | ||
| 60 | + 4. For all models, we use InternVideo2-1B as teacher. | ||
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