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我在A2000的显卡上预测(640480)大概需要100ms,时间点久。你们有尝试将粗匹配特征resize到3040(原来是60*80)嘛.这样是不是应该能够大大预测速度吧,不知道对预测结果影响大不大?你们有做过这方面的测试吗?
The text was updated successfully, but these errors were encountered:
如果使用1/16的粗特征需要重新训练模型,并且LoFTR的文章中ablation实验也做过这样的实验,会降低模型精度。另一种做法是直接用更小分辨率的图像增加速度,并不需要重新训练模型,但同样的也会降低预测结果的精度,这里有indoor的精度和速度随分辨率变化的测试脚本
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我在A2000的显卡上预测(640480)大概需要100ms,时间点久。你们有尝试将粗匹配特征resize到3040(原来是60*80)嘛.这样是不是应该能够大大预测速度吧,不知道对预测结果影响大不大?你们有做过这方面的测试吗?
The text was updated successfully, but these errors were encountered: