python collect_oak_data.py
python run_tinystereonet_and_stereodepth_online_demo.py
python run_tinystereonet_and_stereodepth_from_host_demo.py --stereo_image_list stereo_images_list.txt
python collect_oak_data.py
python run_tinystereonet_and_stereodepth_online_demo.py
python run_tinystereonet_and_stereodepth_from_host_demo.py --stereo_image_list stereo_images_list.txt
非常感谢大佬的开源,我看开源模型用的是stereoNet,就有一些小问题想请教下:
1)请问开源版本的模型是基于什么数据训练的呀?
2)请问有没有与OAK自带的深度预测做比较呢,没找到相关资料
3)请问对于7米左右非常洗长的目标(比较粗的导线)的深度预估有没有办法通过优化NN模型来增强深度感知呢
谢谢
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