Comments (1)
it may be the same as batch_size=8 or more because the computer graph is based on the search frames in video clips.
How many frames determines how much GPU memory you use, so you can employ a lower search number to decrease that.
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Related Issues (20)
- In stage 2, training loss is rising HOT 4
- 第二阶段训练时,在loss做反向传播的时候,会有inplace错误 HOT 1
- Could you provide some suggestions for parameters-efficient fine-tuning on ARTrack? HOT 2
- When setting up the environment, executing the commands you provided results in many dependency conflicts among packages. How can this be resolved
- dependency conflicts HOT 8
- Altered decoder HOT 6
- Bug HOT 1
- 期待ARTrackV2 HOT 2
- What happens if the target in the new training data set disappears midway? HOT 1
- 非常期待您的v2
- 非常期待您的v2开源
- v2的seq HOT 3
- about attn_mask in artrackv2 HOT 5
- 二阶段测试的时候PRETRAIN_PTH HOT 2
- About image crops from bbox HOT 1
- Params and FLOPs HOT 4
- 一个关于GOT10k的基础问题 HOT 2
- 关于收敛后各项损失的值 HOT 8
- 关于ARTrackV3 HOT 3
- How to set the tgt mask in the decoder of ARTRackv2? HOT 1
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